 So my name is Shuli Goodman. I'm the Executive Director of LF Energy and I'm really thrilled to have you all be here. This is our first LF Energy mini-summit. So we have a really busy morning. I actually am here on the west coast of California. So I am on Wednesday at 5.48. But for you all it's a morning and we have a really busy morning. First I'm going to take some time and set some context for the day and then we'll have Dr. Catano from Sony Computer Science Laboratories. Following that we'll have five prerecorded videos, two from the Netherlands, two from France, and one from the United States. Since you heard from me earlier today I'm not going to talk about too much about the imperative about why we must decarbonize because I'm going to actually assume that you understand that climate change is real and that it is the greatest challenge that faces humanity. What I want to talk about is the path forward. I want to make sure that each of you understands that in the next 10 years the choices you make professionally and personally are going to have a really big impact in either being part of the solution or part of the problem. So my goal is to enable you to become leaders in developing the strategies of products and the services that will enable the planet to decarbonize our economies. So for me this chart says everything. Since the 1850s, first of all it's a composite of data that comes from our world in data and since the 1850s at the advent of fossil fuel and the internal combustion engine, the growth of fossil fuel use has driven GDP while at the same time producing an invisible pollution CO2 emissions, which are the source of climate change. In the last five extinctions on earth every single one was caused by too much carbon. So we actually understand what happens to the planet when there's too much carbon in the atmosphere. This however is the first time that it's been caused by humans and by human productivity. So what you see here is that our wealth has been driven by fossil fuel and however we have reached a path where the externality is actually now causing a kind of collapse. So you know the number is 75% is it's a little fungible meaning that sometimes it is 65%, sometimes people say 75%, but it really what it's saying is that if we remove the carbon, the fossil fuel from our power, our energy, our electricity, our transportation, our vehicles, our cars, our buses, our trains, our boats, our planes, that we can provide 75% of the reduction in CO2 emissions that we need in order to stay below one and a half degrees. I think that you saw in my presentation where I was showing about the fires that have surrounded me for the last three months and you know what I say to that is this is what one degree looks like. I really don't want to find out what two degrees look like. So these are our marching orders and this is why this conversation with you is one of the most important conversations on the planet and I really mean that because I really want you to understand how you can do your part to transform the world and leave it a better place. So our friends in Denmark are probably quite a bit farther ahead than most other places on the planet in terms of decarbonization. They estimate that 50% of the effort of the energy transition is digital. That's a really large number and but you know when I think about what's happened in telecommunications you know when you have telecommunications transitioning to 75% for virtual it kind of makes sense that we are being able to build software-defined infrastructure and we're being able to use software to network electrons. We can't actually physically network an electron but we can network the metadata about an electron to orchestrate energy. So based on what we've learned at the Lenox Foundation that means actually that 80% of that code will be open source if we kind of go with that 80-20 rule. So based on that for utilities I think it means that we have to learn how to move at the speed of technology and part of the value of open source really is avoiding vendor lock-in being able to accelerate innovation and be able to use a leveraged development model. For vendors and OEMs it means building the future with your customers and that's a very powerful thing. I've talked to enough of the OEMs vendors and suppliers to know that for the most part they actually don't know what's going to happen three years out from now. They don't really know how the grid is going to be transformed particularly as automotives as vehicles actually really begin moving towards electricity and we have to begin orchestrating that. For consumer electronics, appliance and device manufacturers you know those of you who made HVACs and heat pumps and all kinds of things whether they're washer machines or water heaters. What it really means is that we have to ensure interoperability and the scaling of new products and services because this is how we are going to be able to orchestrate demand flexibility and for transportation we want to be able to ensure that the vehicles that you are going to be building are grid enabled and able to provide both a value in terms of a resource and also a load to the grid. So this is what LF energy is. This is what we are going to do together is we are going to build the reference architectures frameworks and supporting ecosystem of complementary projects. How we conceive of this is that LF energy the ecosystem itself is one of the ground zeros for building the energy systems of future and so towards that I really invite you to come and join us and you know isolation going it alone really are no longer viable and the despair of making those choices and going you know in that kind of go it alone sort of way is really not possible. These are our members and we have had quite a lot of growth in our members and just even the last couple of weeks and these are our projects and I'd like to say that we've got another three that are coming in by the end of the month. One of the things that I wanted to share with you all was it's about the direction of digitalization and I think that what's important about this is this actually comes from LF networking and from ARPA and why it is valuable is to understand that what happened in telecommunications is also happening in energy. What you have is you know today or yesterday's black boxes they're proprietary the hardware and the software are you know aggregated and and it makes it very difficult to enable interoperability and to be able to drive innovation between vendors so that when you are managing a grid like a national grid or a state grid you want to be able to have as much flexibility as possible to interoperate and to be able to use the products and services from many different vendors and so where we're moving towards you know really the first call to action is around disaggregation and the second is around software defined and I think that that's where this community is really finding itself right now is really articulating this is what software defined infrastructure looks like. Those two things enable utilities, grid operators, aggregators to be able to begin automating and to be able to begin providing virtual functions and so that then takes us into this open source project based stack and so this is you know when I showed you and I'm going to you know in a little bit I'm going to go back to that picture of all of the functions of the grid there's no one architecture it's not like you can look at cloud or you can look at telecommunications and you can have a very clear stack the stack is very different and but this gives us kind of a directional idea this is where we're going. The second thing that is actually really new about energy is that you've got the edge and then you've got data centers so you have the edge and you have cloud and and then you have on-prem and the other thing that's important to understand about energy is that time scales are really critical and so that's some of the work that really has to be established in the next five years both with 5G and with cloud is around latency so that we can have cloud enabled or microservice enabled architectures that are able to rely on infrastructure for things that are critical and you know in the energy world you have the substation and customer sided nodes that are then going through communication infrastructure and then they are the the data about them are moved out into system management and customer and markets so I you know what I wanted to share with you about this is when we are talking about the grid of the future there's there's nobody out there in the world who is actually building the grid of the future and is just going to throw it over the wall and we're all going to be saved instead in order to be able to facilitate and enable electric mobility to be able to transition to electric fuel we're going to have to build the the functionality of the grid and that what you're seeing here while it's a taxonomy really is a microservices view of the grid of the future and when you're looking at it you know you recognize that smart contracts smart ledgers are totally different than protocol conversion or you know asset monitoring or state estimation or cross border capacity calculation all of those things are so completely and wildly different but you know the other thing that you have is that in the grid of the future or in the energy systems of the future part of what we're going to be able to do is compose new various different solutions and architectures so one of the things that Dr. Catano is going to talk about is around the Sony microgrid DC microgrid which is you know has many parts of this so really building these architectures and composing them is going to be so much about what the future is going to require from us and the projects that you see here part of what I did was I mixed it up a little bit so that you could see the the blue ones are the projects that are coming in in December and January the yellow one has already been accepted and we just don't have the logo for it and and then you have three other projects that folks are working on around data around cyber security and around fault localization and we see those in planning and coming forward so I hope that this is a some context for understanding the projects within LF energy I had the great uh distinct pleasure of being able to introduce um hierarchy Catano and he is an executive vice president of the Sony corporation where he is also the officer in charge of AI collaboration additionally Dr. Catano is the president and chief executive officer of Sony computer science labs Dr. Catano's interests are wide and broad he has completed studies in computational biology artificial intelligence massively parallel computers autonomous robot systems biology and for today he will share with us about open energy systems and the work Sony computer science labs has been doing in microgrids to just give you a little bit of sense of how this is going to work I'm going to pass it off to Dr. Catano and then he is the only live presentation we can take questions during this time you can put questions into the q&a and we will do our best to answer them and and then I will come back on and we can have a conversation of their questions that people want to cover and then and then how I would and then I will introduce the next one which is the grid exchange fabric and and I can take questions if you have them and then we will play the next one so we can kind of go back and forth we specifically chose this format so that we could have some more connection and that the attendees could actually participate more so if you're okay with that I'm going to pass it off to Dr. Catano and I am going to put myself on mute and stop my video but I am here and and I will hand this over thank you very much yeah thank you Shuri let me share my slide I guess okay I'm gonna share this perfect okay good morning for people in Asia good afternoon at the place or a good night and at the place as well I would like to share with you today it's an experience in the open energy system which is a decade longer project at the same time at the end I would like to have briefly you know you know discuss about like you know one of the potential projects we are currently discussing LF energy okay so our recognition is like we are in the transformation phase of the civilization as Shuri mentioned and we are very much shocked with the the reality although the lockdown global lockdown the COVID like environmental you know issue has not been solved I mean it just like reduced the cover dioxide loading about like a 10-year time frame but like now it's pretty much go back to the as we have before so we need a qualitative change in the energy landscape and then also like a structure of the industry and in the sonic computer science lab we've been working on a broad area of the research including global agenda which is about the climate issues and global medical issues, agriculture and cybernetic which is basically the AI and data science and human augmentation like creativity and the physical augmentation. At the focus predominantly our activity and sustainability is an area of the global agenda domain and we are running a few projects not just like energy projects one of the projects we're working on very aggressively is called the cynical culture which is a new kind of agriculture promoting a biodiversity and the stability of the EU and then try to reduce the income gap in the people in Africa and in the part of the asia and also like apply for the industrial countries for like urban agriculture or a new form of agriculture and we have over energy system which I'll talk about distributed grid system and we also have like high performance network projects in the space which is like we use the laser beam laser to actually be able to communicate broadband you know high through high you know broadband network in a space for the low orbit satellite network as well we can combine them together like a global ecosystem for you know helping the you know global climate issues okay so our project in the energy goes back to well over 10 years initially we had the very interesting prototype like an internet of electricity and then we brought the system into the Africa to show like you know to electrify the part of the Africa and initial projects which you can see is actually public viewing for the FIFA World Cup when Sony was the sponsor there and then we brought the electricity and work with the WHO to do the vaccination of the people in a part of the Africa as well and then we also have electrified northern part of Ghana as pretty much like a standalone system rather than a grid because like in between the house was so distant and then electricity used was actually at the minimum so it was okay to have like a standalone renewable system and at the same time we use that system to deploy into the Sierra Leone after the ever outbreak in the west Africa a few years back and we help them to all the medical professionals to able to get like a brass sample from the ever survivors for able to for them to be able to get a vaccine development which is going very well and then if you you know looking into the all the COVID connection in Japan we have worked with the professor Kawaoka we know the virologist and also professor Nishi Uda which is very became very famous in Japan or a COVID mathematical model and then after that like you know working in Africa we decided to bring the system as a grid in Japan and then industrial countries and then we thought about like a wide theoretical framework that I've been involved in the uh uh you know while they're calling for um uh future electricity council and then uh complex system council and then as I actually used to be advised for the outstorm in France as well so we actually decided that we need to have a system which is sustainable resilient and economically affordable and foster the growth so the uh our first project which is actually the flagship project that DC OES project in the east as you can see this is like a campus in Okinawa science industry science and technology in the mainland Okinawa southern island in Japan and we put our DC micro grid system in 19 faculty houses okay those are the houses that the actual family living it's not experimental house okay so we had like you know faculty housing cluster and now we got the you know put the OES uh on that okay so this is actually the other picture and how uh we wired up we actually wired up in a free uh bus lined and then uh we get the all the status monitoring system and all that so being operational for the last five years uh non-stop are very reliable and we increase it over 10 percent our energy renewable energy utility ratio and then uh this one specifically a configure to see how we can switch between like a main traditional grid line and the renewable uh micro grid system so like a facility installed in a photo for a photovoltaic but it was relatively modest with this one actually intentionally not uh try to get 100 percent self-sufficiency over over 90 percent we actually designed the system to be 60 percent self-renewable and then 40 percent from the traditional grid so we can see how we can switch back and how we can be how we're gonna have like a regulatory hurdle uh to be able to install this kind of system okay that that's a design and then a purpose okay the system is basically an interestingly uh uh rhinox-based energy system we have like a heliocast and biodex and then uh how like all the control software which is basically rhinox-based and we have an active control this is the kind of a trick we have and uh or the baseline multiple peer-to-peer electricity uh you know redistribution and that that's really the key and then we have uh algorithm to be able to do that and that uh you know you might have heart like a sony decide to make it an open source and that is exactly the component which is a critical core part of the grid system basically uh you know we our installation uh in okinawa which we can have like a different installation is basically each has had a sort of photovoltaic and a lithium ion based battery and then our energy router system or the battery control system and then i'm connected with the multiple bus lines we basically has the three bus lines in the a bus to b bus and c bus line and then they have like a star connections okay that that's the whole configuration in this experiment we can have a different configuration but like uh basically we actually have like uh we can get more technical materials and i don't think we're gonna go into detail uh basically we've got the uh interhouse communication uh connection as we said like a 350 volt reason is if you go up like a 400 volt we have like a very different kind of component which is very expensive so we gotta decide to go for 350 volt and if you have like uh someone for some household who have like access to the uh energy uh which is about is almost full and still uh you know pv is generating electricity and there are some scarcity other place uh we're gonna have a gradient of uh you know uh voltage level and they got the current you know uh as the current going around and then we have like a trick to be able to uh you know enable virtual peer-to-peer redistribution okay i'm not going to detail and there's our technical documents there okay now we have like all the software stacker and express and a bigger bone and you know and then all the apis which is the autonomous uh power power interchange uh system on top of that and then now we're gonna have like all the hardware to comply with that we have like all the monitoring system or have all the control system uh as well now and then uh what the reality we have like in the five experiences like you know as we all know like you know we're wasting a lot of uh solar photovoltaic output as well you know by the time like 10 am usually you know battery get full and then we have to waste uh you know rest okay and in terms of the energy consumption each household as we can see in the right side uh has a high variability okay so it's makes sense to be able to actually redistribute the energy and this is actually uh you know energy utility pattern for the each household and then uh you can see a quest of substantial variability on the patterns and then uh you know uh this is the kind of actual data and simulations the middle panel and you know what is actual uh you know data how the things can happen it's the middle and then uh third uh figure from the top and the middle row uh is actually how much the energy being exchanged where the extensive energy exchange from like 10 am to like uh three pm as well I mean this is the time like you know a lot of activity going on and a maximum solar photovoltaic generations and we can do the simulation and what happened if like there's no exchange we can just cut off that we can actually convert the energy consumptions uh you know how much the how fast the battery can drain up things like that that's in the uh left panel and now with that we can do the uh you know recalculations you know what is the utility ratio in this configuration because we target for the 60 percent area of energy use and when the consumption is about like a per day consumption it's about this is a 10 kilowatt hour and then uh we got the uh about like 40 to uh you know it's the 80 percent like uh energy uh renewable energy ratio uh as opposed to the grid so the grid is about this and uh about like a 30 percent grid use and then this is uh you know renewable and if you got like a more uh like a 20 kilowatt per hour you know you got stabilized into like a 30 to 40 uh percent uh renewable energy use and this is great because this is like a facility design actually uh so like I think it's the design you know moving as we design so and then uh from there we see the uh all the data and we can see like uh what is the effect of the exchange so I got among the you know entire consumption of the energy what is the actually the ratio that we use the uh renewable that we found out like uh you know depends 40 to 80 percent depends on the uh consumption and uh you know uh months of the year uh at the same time we go what is the effect of the uh energy exchange it's about like a 10 percent about like a you know high single digit to the little over 10 percent uh among the energy consumptions uh energy demands will actually uh you know uh save sort of uh or like uh you know what was due to the energy exchange and then uh 10 percent it looks doesn't look like a really big but I actually if you go to like high energy sufficient self-sufficiency rate that's huge actually I mean if this is actually the number uh figure uh depends on the each self-sufficiency rate okay and uh horizontal for each panel of the solar photovoltaic uh size and then uh vertical is the battery size okay if you look at like uh self-sufficiency ratio like uh 99 uh percent so like uh if you have like a 15 kilowatt per kilowatt for solar photovoltaic if you have to achieve 99 percent you have to have a quite substantial value which is about like you have to get like 120 kilowatt hour battery but if you get the energy exchange you can do it by like a 25 uh you know kilowatt hour battery so like which is actually substantial reduction under facility cost this is actually a different way of looking at it and if you try to get it it's 96 percent self-sufficiency rate with a solar photovoltaic 10 kilowatt and then uh you know to do that with that energy exchange you need to have a 50 kilowatt hour battery but you can actually achieve that with a 20 kilowatt hour battery size uh with exchange so this is like initial quite substantial cost reduction right you know and then with the three uh you know the size of the uh family of three to five uh which is in Okinawa's facility and our practical size you can put like a solar photovoltaic in a rooftop if you compare the rooftop that's about like a nine seven point five to nine kilowatt that is actually uh practical size that you can put uh you know solar photovoltaic uh with that if you want to achieve like over 90 percent self-sufficiency by the renewable and you I you know you know assume like a 10 kilowatt and you have to have like without the exchange you have to have 50 kilowatt hour battery size but it can actually reduce the 20 kilowatt which is very practical size okay that means like we can really calculate the cost reductions okay so like we found out this is a very significant and then uh you know this is actually a diagram showing the control panel monitoring panel how energy exchange can be done and then also like uh and this is very resilient now you see uh the diagram let me play back a little bit okay this is my normal and then you can just uh see uh okay so you see like uh you know energy exchange going on you know and then I should say okay things to say what happened okay we had a thunderstorm I mean we had the lightning and then our network disrupted okay so we actually uh you know communications uh gone and then those are the nodes which we can actually access for the network and they are surviving network and they are starting energy exchange by themselves okay what happened to the node which disappeared they actually moved into the standalone mode so like even in this case no household got a blackout okay even blackout but like a surviving node which is uh network is connected telecommunications internet was connected still alive was able to keep going for the energy exchange and all other going to the emergency standalone energy supply mode so we have like a very resilient system uh going on okay and then uh track record is like we've got the uh quite substantial so sufficiency ratio and we verify the shelling provide a very effective uh facility cost saving as well and in a very robust system and then everyone at the thunderstorm like a five-year continuous support and then uh we got the non-stop so like from historically we start from the uh standalone system in Africa and they got to the uh microwave system operating uh in Okinawa so uh we consider this is a very practical battery proven system and we decide to go move into the next stage which is the open source okay so because of the uh early cognitions uh current uh state speed of the renewable energy deployment is not enough we we see that in a COVID lockdown result so we decided we have to take a maximum measure to be able to speed up the penetration of renewable microgrid system in a large scale so we decide to you know open source and then we decide to have the particularly the phase one we're gonna have like a free phase open source uh you know uh plan right now uh first phase is the core module of the able to have like an autonomous power redistribution system this has been really the core of the grid system and therefore we decide to work with the LF energy and then all the discussion going on we can benefit like a both and then we can have our technology to be used by the broader stakeholders and then how the wider penetrations and LF energy you know our system it can be one of the core piece of the entire portfolio of the technology often so technology they are looking into and then uh we have been working in the DC DC system at the same time we may be able to expand this the AC grid system as well we have internal sort of uh validation that this can be down but we need to uh work with other stakeholders to be able to expand into that DC AC grid as well so we can either have a choice over DC microgrid DC AC hybrid and AC microgrid uh you know based on the technology we are providing I'm sorry I was a little mixture of the Japanese and uh you know English one but like we're actually going to broaden the horizon uh working with LF energy to be able to accommodate the very different configurations okay so uh things is to under discussion nothing fixed yet although we are getting uh a sort of a consensus on where we should be going but a potential action plan if we agree is that first we want to have a basic hardware from comprised of OES and APIs probably name can be changed there under the new project but like let's just use this name for time being and then are consistent with the API that we provide and we need hardware and we need the more software stack as well particularly in hardware you know the inverter is the issue we want to have like an inverter uh which is compared with the OES APIs API and affordable and the drive and the cost you know inverter okay and then our configuration case study we have like a you know Okinawa it's one configuration that can be different configuration what would be the best configuration what is optimization what is it you know we need a simulator optimizer for that and then we need the uh you know switch of software uh to be able to do that and then uh from there we can take a next generation system development as well we might be the uh a normal expansion to the uh kind version as well or we might redesign that we don't know but like you know for this kind of system to be uh you know widely penetrating you know this because of energy system software alone is not going to do that you know software can be open source but we need a basic uh you know common stable hardware platform which is very important we need help on this I mean we can build ourselves but at same time we like to have like uh you know hardware vendor uh you know uh to be able to help us uh creating a standard hardware set as well uh of course like Sony has been uh you know member of the open source community particularly the Linux foundation for many years when different projects were we can see and this would be if we agree this can be a yet another addition a particular energy front and in a hope like we can work together for the sustainable future thank you very much and I would like to have uh answer any questions you have in my head wow that was great that was really really great thank you so much um I I'm so excited and thrilled by this because I think that when I when I conceive of microgrids there's not one kind of microgrid and I and um you know because if if you have a campus let's say microgrid or you have a commercial and industrial microgrid um when you imagine how things are going to scale and change and you know how do you see us taking this as being a core and then building around it um you know it kind of I'd be very curious what your thoughts are about what the best way to do this would be yeah well that's a great point actually it's like you know our experience is relatively limited in our small number of cases studied obviously we can't really do the all kind of thing so like you know we understand the nature of the DC microgrid system and in a specific configuration but obviously like there are different demands different kind of configuration requires like we have like a every house to have a rooftop but like you know that's not always a case like I said people might have like a three to four different you know power generation station you know solar photovoltaic or biomass or you know other uh system uh in uh off of the village for example off of the residential area but still wants to connect and still wants to configure as a microgrid system that's different configuration what other people might have like a hybrid some rooftop and uh some uh you know you know off semi centralized like power generations and then now we are seeing our system use the rhythm ion barrier for now but of course we can have a fail cell or like a hydrogen based or other kind of energy storage which might come in the future so I got you know open energy system open means open to the various renewable energy source and the storage capability now we add to the open means in the open source as well which is very nice actually but so I think all we need to do is try out the different configurations and also what we have done is about like a 20 household like we know we can actually scale up to 34 but like if you got like you know a thousand households we might have to have like a hierarchy you know design we might have like a you know a bunch of like a you know microgrid clusters and then uh in between they're connected to with the you know uh you know some uh trunk you know different kind of grid architecture or like a high voltage DC as well depends on how you configure so we want to maintain the maximum flexibility configuration capability and I think the system is capable of doing that but we just need the more stakeholder getting involved and try out in different I think at the same time the other thing is very important we would like to have a stable supply chain on the basic hardware for example like a body body management system hardware in butter or which is actually much more difficult than people think it's the much less like a supplier for the in butter and then we need reliable uh you know acdc dc acdc dc invaders and that that's really the critical which kind of standardized that that would be great and we have all the monitoring software as well as like that depends on the use case we can probably modify that as well so I think we need to build the ecosystem around this and we have like expense doing that but like you know you know this kind of thing and we can't really do it alone I mean you know you just have a beautiful slide I mean going and always not the way and then that's why we decide to go open source and then uh wants to uh work with the all the other stakeholders and people who's uh interested in saving this planet I love how you think so um when peer-to-peer trading um is clearly what you discovered you know your data is that having more together not just a single household but more together actually created a more efficient economic economically speaking and using of energy it used it much more efficiently so but uh you know do you tell me about like how you developed your peer-to-peer um model because it's very unique and uh and and so I'm really interested in that yeah so we have a relatively simple peer-to-peer like uh request and receive electricity kind system that doesn't a very sophisticated one because we can actually build up like a very sophisticated control on top of the system but like we are currently assume like a f battery level actually go down certain level for example like a 25 percent something then you know the household uh system as you guessed I need more electricity and then you know then uh you know some other system which actually likely to be the full charge or likely to be a full or even like you know one actually wasting uh because they can't restore anymore uh will keep uh you know the matchmaking and then uh you know decide to go who gonna provide to the who and then actually the real electricity like electrons doesn't really flow that way I mean now we have like all the network-wise aggregations and redistributions like actually the peer-to-peer and negotiation is actually virtual and the actual electrons is not necessarily actually move that way so like I you know we haven't done actually do the trading mechanism like you know all the cryptocurrency whatever people talking about but like we can actually put that on top of that you know at the same time what we found out is like uh usually this kind of household like a 20 kilowatt hour is pretty much like an average consumption level with high value of energy okay why would a big challenge with the EV we haven't done like too much of the EV we although we have a data it's like uh Nissan Mirai actually uh well I was forget about like Nissan's EV or Toyota's EV is about like a 40 to 60 kilowatt hour you know battery okay that that's actually it's already double the size of that you know consumption average household per day okay and Tesla is about 70 kilowatt so like a Tesla is actually consuming you know if you charge a Tesla for full uh it is required that three household whole day energy consumption level so like uh with the penetration of EV if we're talking about residential area for sure it would be really springed by the how people charge electric vehicle so like uh you know for like this energy exchange would be even more effective because we're going to have like a much bigger variability depends on the traffic patterns all the mobilities now when and how people charge electricity to the EV so like I think like this oh yes like energy exchange system has a higher value if you have a bigger penetration than EV in the household huh so um have have you all talked with um your utilities about about their plans with electric mobility and around charging and how you could optimize the system for charging yeah I mean some utilities are very interested and we are also talking with them as well although the Japanese are actually regional monopoly and in although they are opening up a little bit with like emerging utility companies as well but they actually work as a more or less a negotians rather than the power generation a real infrastructure holder and Madagascar they are not interesting in and then also like I probably know Japan outside of Japan I think they are quite substantial interest uh although like we need like a partner to be able to penetrate in that uh market because like this is like you know core infrastructure of each country so you can't really just go and yeah we're gonna build one so like you know so one reason we're gonna open source is to ensure that you know availability of the uh you know technology and ensure uh that this is gonna be more secured one because like you know people can actually tap in and people can have like a multiple source and then uh even if it's only decided not to uh able to continue like a people can take over you know people can carry on and of course we are not really planning to you know sink down the activity as well but you know of course like you want to be sure that you know this is gonna be there it's not gonna evaporate you know by the yeah yeah yeah so I think that this is a really interesting opportunity uh you know if people want to go to renewable in a big way I think uh it can't really do the conventional grid because of the you know stability issues so like if they can have like a microgrid system around the renewable they can absorb the perturbations by microgrid and they can keep main grid very stable and I think that is probably a very practical configuration in a big way yeah I I agree so I have one more question and then I you know I want to really open it up to the audience I mean part of why we chose this is so people could interact with you um what what is the relationship of uh the assets at the edge um in other words when people talk about the grid of the future they often talk about arbitrage out at the edge kind of you know this industrial iot edge in which you have devices that are either loads or resources to the grid or you know to the energy power systems communicating with each other how did you all design that so that they were talking and are they talking to a central system or are they actually communicating amongst themselves at the edge with some sort of prioritization in terms of how they load you know leader election stuff like that oh yes uh you know basically it's a peer-to-peer we can have like a central monitor or central content if you want but like basically when they have like a among the all the connected nodes you know we actually decide one leader one control center which will be dynamically assigned okay when you have like a you know one control center they will take a control of that part of the grid and if anything happened to the center or like we decide to dynamically configure other node will take the leadership that will be the control center you know and then every software has you know semi-capability so we can actually dynamically switch then that's reason why the in a you know you know lightning case you know network disrupted okay you know uh you know uh kind of bus line b and c was detached okay at that time like uh seemed like uh leader was in the bus line c node for example one of the household uh system in the bus line c and that was detached okay a survived then a new leader emerged in between the a node you know a bus like among like a five household and then they took this guy took over and then you know start controlling locally so if like uh you know at that time like a bus line b and c internet is completely down so that they can save sufficiency but if like you know disintegrate but still they are going to be surviving by themselves see surviving they say they have like a each they can have like a leader and they will control locally so this is like a fully autonomous system and dynamically assigning control center fantastic i'm i'm i'm really excited for us so uh anyone uh in the audience any questions would you like to unmic do you want to i i i i actually don't know if that's possible but can you if you want to raise your hand or put a question in okay we have a shy group of people um well i uh katana son i i am just i couldn't be more pleased and and more um the only thing that would be better is to be there with you uh and in person and um i pray and hope that that we will be able to do that in the very near future um and i i look forward to working with all of you um uh junusi son or uh kawamoto son do you have anything that you want to add as the uh as as the team that is bringing this uh into open source actually uh this is kota speaking can you hear can you hear me yes kata i can hear you thank you for your time uh for us to you know share what we have done and what we are going to do and we really as kitano son mentioned uh you know one of our key point is to work with uh you know the uh many state folder outside sonic uh computer science level please and we are very excited to working with all of you joining this you know uh conference and let's discuss together how how we will you know expand what we have and what you have to realize you know the decarbonization uh decarbonization network and the future of the greed network thank you yeah i i'm hearing that very loud and clear and i i hope that the audience is hearing that too um uh i you know at the very end i'm i'm going to give all my information clearly you can go to the lf energy website very shortly i hope by the end of the year that the project will be a part of lf energy and that you will be able to if you come to the website to join the mailing list get the code um and participate we really are um i you know looking for the hardware manufacturers um you know i one of the conversations that we've had as a group as as we were bringing the software on board and sony was joining is um you know really the conversations with for instance the world bank um and the un and others who have really you know maybe the world has a thousand or 1500 or 2000 micro grids a year are getting built i mean they're really not a lot of them it it's kind of like we're in the very early days um but i think that everybody believes that moving forward that they're going to be tens of thousands of these and so it's absolutely critical that we build a relationship between the software and the hardware um vendors um so that we can begin to have a kind of interoperability um in terms of scaling and plug and play so that you can go into an african village or you can go into southeast asia or you can go to north america to california that desperately needs micro grids and and basically be able to stand it up very quickly um so we need you all to participate and i really look forward to the next year with you all so thank you very much thank you very much thank you thank you uh i'm going to um move us along here um and uh so the the very next um video so what what we did was we offered to our attack um to folks to be able to produce videos because i think everyone knows that it's very difficult because the world is round uh to get um north america asia and europe all together so what they did was that they recorded videos of um their software and the first software that we're going to queue up is uh called the grid exchange fabric and we brought this software into lf energy in february of 2020 and uh the the person who's going to talk about it is jonas van den bolgaard and uh jonas is also um a representative to the governing board um he is the uh the pack chair he is a wonderful um human being and a really terrific engineer and uh so he is going to tell the story about grid exchange fabric uh tayo you can bring up the video now please hi everybody it's really great to be here and be part of the open source summit in japan let's start with a quick introduction i'm jonas van den bolgaard the solution architect at alieander and one of the key experts on the grid exchange fabric platform and this talk is all about all about the grid exchange fabric platform also called gxm an open source industrial iot platform initiated by alieander the largest distribution system operator in the netherlands alieander has over three million customers and manages over 8 000 kilometer of electricity electricity grid and manages over 1.2 billion assets and has over 7 000 employees gxm is a generic industrial iot platform built for organizations that manage and control large-scale infrastructures it helps to create maximum business value with the limitation and use of smart devices after this talk you will understand the value of the gxm platform its unique open source approach and also you will get to know how to get involved in the gxm community we will start off with the key challenges of a distribution system operator like alieander next i will introduce the key use cases of the gxm platform after which we will dive into the architecture of the gxm platform i will highlight its key features and talk about you about the roadmap and at the end we also share how you can get involved now let's get started due to global developments and innovations the way we generate distribute and use energy is changing rapidly fossil fuel power stations will close down in order to reduce co2 emissions we see a strong increase in the use of renewables for example the number of solar panels and wind energy is growing very rapidly and also the number of electric cars is growing exponentially and this has a huge impact on the electric electric grid and therefore distribution system operations like alieander faces major challenges to support this transition and projects like gxm can really help organizations like alieander before we discuss the architecture as key features let's take a look at the use cases of gxm and i would like to show you a short video which introduces one of the key and first key use cases of the platform in more detail as far back as the 70s public lighting in the netherlands has been switched using the ripple control technique a centralized system that these days has become obsolete it results in more disruptions and is becoming more expensive in maintenance alieander believes that this present system no longer meets today's needs and requirements and neither does it use the technical possibilities available at this moment that are also being further developed public lighting does not stand alone but as an integral part of public spaces it plays an important role in people's quality of life and security in areas and districts lighting as an entity is becoming more sustainable whereby municipalities are becoming more conscientious in deciding at what time and what degree of lighting is desired or deemed necessary sustainable lighting not only results in less energy usage but eventually in lower costs this fits in with the current philosophy among municipalities and provinces aiming to increase the sustainability in their areas and districts municipalities are not alone in this more and more citizens wish to become involved in the development of their own environment and public spaces new forms of collaboration between citizens and commercial parties will result in new innovative products and services that will improve their overall quality of life within the public space we all notice that energy networks are becoming ever smarter and that objects and applications are making more and more use of internet technology are wirelessly connected and can be remotely controlled with smart applications this results in different types of information on public spaces becoming within reach which increases the interaction with the environment in the area of public lighting municipalities and provinces would like to control switching and dimming by themselves and thus not being dependent on one or another supplier as well as this the public lighting needs and requirements differ greatly per region district or city this is why alliander wants to actively support municipalities and provinces in the transition to flexible switching systems of public lighting the starting out point is that municipalities have a maximum amount of freedom in choosing which applications they use for controlling which objects municipalities can therefore get more in control through themselves controlling switching times and dimming regiments resolve power failures faster through up-to-date information and save on costs through energy saving and more efficient maintenance and management alliander offers as a solution an open generic scalable and independent platform that makes flexible switching of public lighting possible and will support more public facilities in the future this video gave you some background on why alliander initiated the gxf platform and to give you an idea of the skill we use this today alliander is successfully using gxf to operate and control over 20 000 switch devices and control over 700 street lights and gxf allowed us to use switch devices for multiple vendors that use different protocols and different communication standards however public lighting is not the only use case gxf is used for today for example gxf is also actively used for metering to retrieve metering data from hundreds of thousands to millions of smart meters also gxf is used for infrastructure management for remote device configuration device management and over-the-air firmware updates and furthermore we believe gxf in the future can also play a role in for example load management to genetically adjust and control electric grid via edge nodes in the network for example to smooth out peaks of solar farms or peaks of wind farms and also gxf can be used in the future for micro management to monitor and control micro rigs and also we believe that gxf can be applied for many more use cases even not aware of today now let's dive into the architecture by using gxf you can monitor and control your smart devices within your infrastructure and from more an abstract level the platform could be seen as an industrial IoT platform and one of the main principles of the platform is its modular design and support of state of the art security standards for example the platform has zero trust principle implemented which means all communication to and from devices is encrypted all communication to and from applications encrypted also gxf as a full-hearted drill to see who did what at what time and in order to support an high number of devices gxf allows high scalable implementations both in the cloud also in a non-premise situation and to give you an idea of the skill gxf is already used to monitor and control over 700 000 street lights and gxf is building mind to control and monitor over 10 million 10 million devices and best for last gxf is also open source why open source because we believe that open source and open standards prevent lock-in and provides a tremendous opportunity to collaborate gxf has a layered architecture and let me walk you through these layers IT applications are connected to the service domain via an integration layer and this integration layer contains web servers for example to allow easy integration with applications the service domains contains business logic of a specific domain such as public lighting or smart metering for example the core layer of the platform routes the messages to the correct protocol adapters and contains generic functionalities to support device management time synchronization and firmware management for example next the protocol adapters in the protocol layer convert the messages to a command that is supported by a specific smart device and this command could be any command the smart device supports for example retrieving the energy usage stored in a smart meter or switching commands which switches on the street lights next have a look at the gxf roadmap currently we are working on the new gxf website also we are working on integrating gxf with give cap cap and we started with doctorization of the platform also we're working hard on improving the mqt adapter and also we're making general code improvements to further improve the quality and stability of the platform and also in 21 we as alienda continue to improve and extend the platform for example we plan to finalize the doctorization of the platform also improve the PCA one or four adapter improve the release management process of the platform to make it more transparent for the open source community and also have planned many more code improvements to further improve performance stability and quality of course this roadmap is not set as done and we always welcome contributions and IDs from the open source community and talking about contributions from the open source community let's talk about how you can join the gxf community the complete code base of gxf is available on github under that patchy 2.0 license and you can find the link on this slide also there's extensive documentation available on how to use the platform how to install it and how to contribute to the platform and also check out our new website and the gxf webinar from my colleague Robert Tussfeld for even more detailed information on gxf and I welcome you all to join us in the open source community and also don't hesitate if you have any questions or feedback to contact us you can contact us and stay in contact with us via the gxf mailing list and the email address of this mailing list is on the slide and also we have an issue tracker in case you run into an issue thank you very much for your time and interest and I hope to hear from you soon thank you very much that was really great um before we move on are there you know I see that Baskar has some questions I think questioning about whether there's enough distributed energy resources to produce the energy that we need and I think that there are many indications that in fact we are able to do that whether you're using the wind in Europe or hydro in many countries run renewable and hydro and solar panels or industrial solar but I think that we're going to have to get creative so it's not that that distributed and renewable energy can't produce enough electrons they're becoming increasingly efficient and we also need to become more efficient with how we use energy and so we're going to talk a little bit more down the road with about open meter but we need to consider that it's not just that we have a proliferation of renewable energy devices but that we also have radical energy efficiency Anteloy and John Harper are running a project called POSSIBLE and POSSIBLE stands for power system blocks and power system blocks are six different blocks that RTE developed to be able to model and show the French grid both for regulators and also for planning purposes so I'll be really interested to see how POSSIBLE has evolved over the last year and Tael please queue up the next video. Hi everybody I'm going to present you POSSIBLE library. I'm Anne, I'm community manager and a developer of that project. I'm working for RTE the French TSO. We use POSSIBLE to model our power grid. POSSIBLE is an open source set of power system blocks written mainly in Java dedicated to grid analysis and simulation. POSSIBLE is a project of the Linux Foundation Energy since two years. It is licensed under Mozilla Public Licensed version 2.0. We are hosted on GitHub at www.github.com The community involves 77 people. POSSIBLE is production ready. It offers a set of features for grid modeling and simulation. For example you can use POSSIBLE to create a state of art application able to handle a variety of formats such as CGMOS for open data exchange to perform powerful simulations and security analysis on the network or to display single line diagram of the substation you can have in your network. All the features for grid modeling and simulations are fully described in our websites. Here you have a full description of the grid modeling and a full description of how you can extend the grid modeling for your specific needs. You can find here all the grid exchange formats that we support. So for example we support also PSSC formats, high trouble E, mad power. You can perform a lot of simulations with POSSIBLE like workflow security analysis or time domain simulation. For that part we rely on an open source project called DINAWO. POSSIBLE offers some advanced features like high performance computing or data management as time series management or database management We also provide a set of microservices around the blocks. You can have also with POSSIBLE a Python binding to make some proof of concept around POSSIBLE. A key feature of POSSIBLE is its modular design at the core of the open source approach. It enables developers to extend or customize its features by providing their own plugins. You can see here our roadmap. It is what we expect to do next year. And here you have the community. The community exchange on spectrum for questions and issues And you can you have here our Slack for more daily conversation. If you want to participate to our public technical steering committee, please have a look at our LFE calendar to join. POSSIBLE is already used in a number of projects. You have Farao. Farao is an open source modular toolbox for power system coordination process. DINAWO is an open source time domain simulation tool for power systems using the modular language. And GridSuite is a suite of web based tools for grid simulation analysis. And my colleague Ion is going to present that tool to you. Hello everyone. I'm John, a developer from the GridSuite project. GridSuite is an open source project developed at github.com slash GridSuite. Please come and check it out. The goal of the project is to build upon the POSSIBLE project and offer easy to use tools used to perform many different tasks that are needed to run coordinated electricity grids, such as the European electricity grid that we're seeing right now on the screen. Today I'll be giving you a brief tour of our first tools and we'll talk a bit about how we make them. Let's start with the grid study tool currently on screen, which is displaying a beautiful map of the European grid. It's got colors to differentiate between the different voltages and you can zoom and pan and even get this stunning European view. Okay, let's switch to the French network now. We see here a list of available networks in different formats, for example CGMES or UCT. Right now we're displaying the map with a dark theme and straight lines between the substations. Let's switch it over to a lighter theme and to lines drawn by the GPS positions of all pylons in the line. And now we have the whole view of the French network with accurate GPS positions for all the lines. We can even get a feeling of how the power is flowing through the network when zooming in and seeing little arrows that are animated along the lines. To get this smooth map with 60 FPS animated arrows, we use the awesome library called DECGL, which uses WebGL under the hood to get the performance. On this map we can simplify things to get a better overview by displaying only the higher voltage levels and by hence showing the French backbone, electricity backbone. On the left side we get a list of the substations in the network, in which we can search for one substation using this filter, which is really fast. And we can ask for substation single line diagrams where you see the different voltage levels of the substation or for only one voltage level. Grid study is a tool to explore networks, so we allow interacting with these single line diagrams, for example by clicking on these breakers which will toggle them. It will open closed breakers and close open breakers. The grid suite is also a collaborative tool, so we allow sharing links to our work, to work with colleagues. Let me open this link in another browser to simulate another colleague working with me on this case. The link brings him directly to the same substation as the one I was looking at. Notice two things about this single line diagram. It's got only one voltage inside this whole voltage level which has a computed value of 243 kilovolts. And it's got on this line 77 megawatts of power going out. As a first demo, I'm going to click on this breaker. I will open this breaker and disconnect the two bars from one another. This should trigger the topology recomputation on the fly and it should be visible immediately live in my window, in my browser window where I click on the breaker, as well as in the other browser where my colleague Bob is just watching. Here we go. The app now shows us that we have two voltages, one with the light green and one with the dark green, but their values are unknown yet. This is because the app has already has only recomputed the topology but not all the electrical values. To recompute all the electrical values, we need to run an electrical simulation. The simplest kind of electrical simulation is called a load flow simulation and it computes the steady state of the voltage and power throughout the grid based on the constraints of the power plant's production targets and the consumer's demand. Let me also open this breaker here, which should after we recomputed the values show that the power is no longer 77 megawatts going through this line, but instead it should be zero because the line has become disconnected. Let's run the load flow. The load flow is of course delegated to possible and here we see the logs of the computation and now we see the updated value of zero. To run this load flow, we use the possible framework and we ship the code from possible in Docker containers that we deploy either in a Kubernetes cluster, which is what we use to run our public demo at demo.possible.org or for simpler deployments like the one I have now using Docker Compose. This is what we're seeing with these logs. To get live feedbacks on all operations, we use an asynchronous architecture and send messages through brokers like Rabbit MQ and through web sockets back to the browser. For the servers, we chose a stateless approach because it gives us a lot of power to easily develop new features. It is such a powerful model because any computation can fail and be picked out, picked off by another process where it left off. All computations are stored in a database as soon as they're done. We're using a scalable database as well. We use Cassandra so we're confident that our platform can be used by many users at the same time. Deploying a new version is easy as well because there's no state in our code so we can just replace the previous version with the new one. Everything is persisted in the database. That's how our continuous integration and employment works by taking merges to the master branch on GitHub and triggering GitHub actions that end up recreating pods in the Kubernetes cluster. Back to the app. In addition to the geographical map, you can see a table of all the elements in the network and this table killing can even allow you to interact with the elements, for example, by setting new targets for productions and rerunning simulations. You can also see the results from the simulations. Low flow simulations are not the only simulations that you can run. Another type of simulation is the security analysis. Running a security analysis means checking one by one for a list of predefined contingencies whether or not they affect the network. For example, in this case, I could ask for the platform to run a simulation in case each of the lines of the 400 kilovolt lines in the network had a problem. So this would mean running for this network 867 contingencies and getting results on which lines when they have a problem cause disruptions in the network. We're not going to do it because for this you need more than the simple Docker compose deployments or else it will take a very long time. Speaking of predefined contingency lists, we made a very simple app that allows you to create them. It's very simple because it's based on the possible contingency domain specific language. We use React, the front end JavaScript framework to make these apps and it's really fast to build. Here we see the contingency that I used earlier. It's only a few lines of code because possible makes it very easy to write those contingencies. A real groovy script that uses the possible contingency DSL domain specific language. One last task that is useful to coordinate the networks is to get network data is to get network data from the different grid operators that are connected together and verify that their individual grid models are coherent and can be merged together in a merged grid model and that this model is also stable using a low flow stimulation. So we have this tool called grid merge which will run these kind of workflows as soon as grid operators publish their data. Let's simulate the publishing of the data by grid operators and see what happens in the app. Here this script will simulate the publishing of the data. So we see here that the app received a network and is running a low flow on it so it's light blue until the low flow determined that it's correct. Now it's gotten dark blue because the low flow on this network said it was okay. The same happened for the next network and now the next ones have been merged together and the low flow has been run and green means okay. We see the process being repeated every hour as our script is simulating the data sent by grid operators receiving computing receiving the second one in an instant receiving the second one computing the low flow on the second one and then computing a local on the merged network. Okay that's it for the demo today. In the future we plan to make more tools that cover more of the tasks needed to run an electrical grid and improve the current tools as well. For example we want to be able to quickly describe variants of networks that would be the same as opening a switch or closing a opening a breaker or closing a breaker but instead express the fact that we want to maybe add a substation or add a line between two substations or maybe change the demand for power. We also want to add simpler ways to describe simple contingency lists where you don't have to resort to writing even a short and easy script. We would like to get a GUI that will show you that will help you sort of a wizard that will help you creating contingency lists. For the grid merge tool maybe getting more alerting and more results would be a nice feature so maybe sending emails as soon as one individual grid models fails the checks or something like that. But these are just a few of the improvements that we're going to make. Please check out github.com slash grid suite regularly to see what we're up to. Thank you for watching. Bye. Wow that's pretty cool. I'm not sure if you how many of you out there are actually doing grid modeling but to recognize the amount of assets that they're actually tracking that are being composed. One of the core values, the core paradigm that the grid is called inertia which is the ability to manage supply and demand. This demonstration in this software came out of RTE which is a French transmission system operator and that's the high voltage and we're going to go to the completely opposite end with open EE meter which is really looking at behind the meter and how do you actually value energy efficiency. Now when you move to renewable energy one of the things that we have to be able to do is manage flexibility and demand response. So the next two ones open EE meter and then open leader that come after it are really about how we manage flexibility so that we can continue to match supply and demand by making choices with regards to perhaps decreasing demand when there are constraints on the system or increasing demand for instance when you have an enormous amount of sun and so those are issues which are often referred to as the duck curve and what you want to be able to do is flatten the duck curve by increasing demand during times when you have high solar and high penetration or high wind. So open E meter is the next one. Are there any questions about what you all saw? What possible? I'm not sure I can answer it but I think it's a great project. Okay so I'm going to keep going go to open E meter and this is Phil Mio and this is a great story so take it away Theo. Hi everyone welcome to impacts at the meter. I'm really excited to be here at the open source summit remotely and to tell you a little bit about the open E meter which is a project that is near and dear to my heart. I've been building this with my with a team at LF energy and that recurve where I work and excited to show you a little bit about how it works the kind of problems that it solves and you know why we're open source and what am I mean for you? So I'm going to jump right in. This is going to be a fairly quick presentation just to kind of give you the overview of where this fits in. There's a there are a lot of very cool LF energy projects out there many of which are presenting at the summit and I'd encourage you to go see as many of those presentations as you can. So let me go ahead and sort of open this with the discussion which is at the center of any problem that right at the center of any solution that that is kind of being proposed here is a discussion of climate change. This is why we're here. There are a lot of potential avenues into solutions for climate change and and each one of them is as important as the next and these problems are wide reaching. There are a lot of energy users and there are a lot of things that affect our climate and every we'll get into this a little bit more but the opening meter helps tackle only a small part of this and and naturally in with such a which with such a big kind of problem. No one no one solution is ever really going to be so we're going to need lots of things helping us to achieve our our climate goals and that starts at the nation-state level and it goes it is going to have to reach into every part of our of our lives probably and it's going to require a lot of innovation and there are a lot of technologies being developed to change the way that we generate energy and the way that we consume energy and and the thing that we're going to be talking a little bit more about today are buildings. Buildings cover the earth and buildings are used for so many different things ranging from industrial you know processes to commercial and of every type imaginable as well as residents residences single family multifamily buildings each of these are subject to the conditions of the world and try to create an environment and give us the tools to live our lives and to to get things done and they're extremely important and they use a lot of energy and the opening meter helps us to understand how to quantify the impacts of energy on buildings but again I'm getting ahead of myself let me talk a little bit more first about kind of one other side of this which I think is relevant to an understanding of why the opening meter exists. So grid problems are multifaceted there are a number of factors that you have to consider when trying to change the way that the grid operates and that starts from the basic problem of needing to meet generation with supply or with demand meeting supply of these resources with demand and really there are two prongs to any approach that may affect the grid one is to change the way that energy is generated another one and the one that's more relevant to the opening meter is to change the the way that energy is consumed and there are many approaches for that and but both of both of these come together in energy grids which are complicated and include things like peak energy usage periods weather events which are which affect grid usage so there was a day I lived in California the day there was a day in California last year when to buy a megawatt of power which usually costs around 30 US dollars cost over a thousand dollars on the grid spot market and these times which are most energy intensive for the grid are also the times which are most energy which are most carbon intensive for our planet and and furthermore anybody who has been around in the last eight to nine months knows that we're in a global pandemic and that has also affected the way that the grid needs to supply energy to buildings as people change their habits to respect stay at home orders so naturally in a complicated complex sphere there are also going to be a range of kind of technologies or approaches for fixing the problems that that arise and many of these you've heard of maybe some of these you haven't but these are all trying to take a chunk out of a a separate aspect of this problem just to kind of go through some of these if you want to affect demand one way to change that demand is to change how much it cost is to change the price of energy another way is to install solar panels at a site or in generation and what I'm by the way what I'm focusing on here are some of the solutions which are which focus a little bit more on the on the demand side so you could install solar panels at a specific building you could install batteries increasingly batteries are being used to support the grid not only at utilities but also distributed at sites around the grid as individual building owners can use batteries to consume energy when it's less carbon intensive or less expensive for the grid and and rely on their batteries stored power to shift load from certain times of day to other times of day when it's less impactful there are programs which send signals to users and we'll talk a little bit more about demand response programs that ask people to turn off large appliances or industrial processes at particular times of day when there are extreme weather events which will only become more frequent in the future and then there are a whole host of approaches for improving the efficiency of buildings at the industrial scale that may be something like changing compressors on refrigeration or freezing equipment at the commercial scale that may be you know changing all of the light bulbs in an industrial in a warehouse or in a grocery store and in for residences it might mean anything from changing insulation to installing new appliances changing light bulbs there are a vast variety of approaches here and it's important to remember when we're thinking about how to apply these that they have to work together and that some of these will have advantages when where others struggle let me give a really quick example of that what you're looking at here is a load curve that's showing over the course of the day the increase in energy usage and or at least the consumption on the california energy grid and the blue line is the overall electric load and the orange line is that load subtracting out the solar and the wind generation so what you're actually seeing is that in the middle of the day there's a lot of solar and wind generation and as the day winds down and as people and businesses kind of switch from the end of their workday to the start of their evenings that there's this ramp when the sun is going down and the usage is going and the demand is going up and you get a really steep uptick in the amount of energy that's required and consider because the addition of solar and wind resources actually makes it makes creates a moment for the grid which is more intense than any other moment which is that slope there that high rising slope which is which is costly for grid operators and very carbon intensive because it requires the types the types of generation that can handle a fast increase like that are generally speaking more carbon intensive so as we consider the types of things that need to happen to the grid we have to consider their impacts not only on the overall load but also the times of day of that load the location of that load and the whole grid context so back to I think something that's become a mantra and there's definitely some truth to this if you can't measure it you can't manage it why is this relevant we need to understand if we make an attempt to change the way that energy is consumed on the grid that it's important to understand that effect the impact of that effect in particular what sorts of companies and technologies or programs are most effective at accomplishing their goals what works well what helps what helps the grid and what doesn't help the grid and how will that change as the grid changes um we're what are the marginal impacts where are we're uh are the are our programs designed to to impact uh demand on the grid effective where we hope that they will be and during the times of of day that we hope that they will be to the extent that capital is available for investment either from the public or private sector where should that capital be invested and how can it be known that that is a wise investment how do we promote innovation in the space all of these things require measuring impacts and that is where the opening meter comes in the timing is right here in in the us we're seeing greater than 60 percent last i heard i'm sure it's higher than that now greater than 60 coverage of smart meters where previously we do not have hourly data now we have lots of data more than more than many entities can handle and that data tells in great detail patterns of usage even up down to the site level and that that data is very valuable for understanding the impacts of programs or technologies or solutions deployed um to fix uh demand or supply problems on the grid so what's hard about measuring things um spoiler alert this is where the opening meter will come in um but uh some of the things that i've run across personally um a lot of data is incomplete it's missing big sections because of power outages or uh or it's uh mishandled during data transfers or or one one issue is that there are lots of different ways of of measuring impact how do you measure it um what is what are the methods you're using what do those optimize for what what variables are you taking into account um who can go in and check that that is that the methods that you use to to compute the impact of an event um or program are what you say they are so having the ability to reproduce results is extremely important as is the ability to do that at scale so to take um an analysis and repeat it for thousands hundreds of thousands millions of meters um across a nation or a state or or a jurisdiction um how do you do that while respecting the privacy of the individuals um uh whose whose data or whose company's data uh is required for that analysis um and um and how do you take account of all of the multiple things that are that are being done as interventions on the grid including behavioral programs as well as solar installations energy efficiency demand response and all of that while taking account of the changes of energy usage that have occurred during the course of this global pandemic um these are not easy problems um and um uh and that's where it is helpful to have software that um helps make some of these easier so a quick side note the opening meter um EE stands for energy efficiency oops um as as time has grown it's it's been clear that the opening meter is useful for much more than just energy efficiency and I want to give you a little example of that which is just a taste of where we can go in the future and and there will be some um some suggestions about where where you might go after this um maybe end of these slides so first let me talk about demand response um it's um critical to understand the impact of of a demand response event and what you're looking at here um is a load shape over the course of a day and on the very bottom what you're seeing is is the impact to usage in terms of percentages um and um the analysis that needs to go into that you'll see that there are uh kind of uh four different event time series that that go into this and and each of these is is made possible by uh by the opening meter which takes into account um the time the the usage during the time of day as uh as it might have occurred without an event um as compared to what actually happened during that event um and uh and uh additionally subtracts out um a set of comparisons in order to uh balance out the effect of of any bias in a in in modeling um uh uh this is one example of kind of one way in which the opening meter is being used for something which is not just energy efficiency but which is isolating the the effect of of a particular demand response event uh even on top of um energy efficiency and I'd love to to talk more about this because feel free to reach out to me um the opening meter is built on um is is really a foundation for doing the sort of analysis um which I was hinting at and the keys to this software package are that the methods within are replicable it's written in code um it's open source um it's uh part of the Linux foundation um because uh you know we're committed to that and that community um it's uh it's it's transparent it's it's um um of course each of these things is a is a sliding scale and and the open meter is always trying to make things as easy as possible for for users to understand and part part of the foundation of the opening meter is the creation of site level seasonal and time of weak and temperature baseline models now what that means is um the opening meter gives you a model of how building performs under a particular set of circumstances based on meter data um as well as temperature data and time of week and um this is a this is the core component from which all opening meter analysis is performed that this model is used to predict the usage patterns of a building in circumstances which were not actually which did not actually occur and we call that a counterfactual um it's as if we wish we could split the universe at the point of an event and watch what would have happened with that event and what would have happened and what did happen without that event um but unfortunately um we're not able to do that given the constraints of the physical world and when an event happens that's all that happens and and the opening meter provides a way of estimating what might have happened in the absence of that event and that is a that is a powerful concept which comes together in a number of different situations with combinations of different models to isolate the various effects of energy efficiency demand response or storage and load shifting programs and um all of that is available um in the opening meter uh let me talk just briefly about the use cases that those enable um so in particular um we're starting with pay for performance so as um as uh companies and innovators sign up for the opportunity to to show that their their approach to affecting the grid has impact that they're willing to bet their paycheck on that um having open source and reliable methods becomes all the more important this becomes important for um for the people who are hoping to procure uh grid impacts of a particular sort and who are hoping to invest in this um and as um whenever money gets involved it's important to also have performance insurance and to understand the impacts of those um of of those events uh finally who who uses the opening meter this is built on standard um uh widely used libraries it's a python open mirror is it is a python library built on top of pandas and stats models which should be familiar to many of the data scientists in the crowd um it's uh um it's it's possible to get started with even just data from a single site so we try to make it as as easy as possible to to get going with the opening meter you don't you need not be utility to use this you can be someone like me who gets a utility bill um and wants to understand how my energy use is changing over time um and it's built on top of public weather sources and now there's a little hint of of how you would use it in python uh just a little a little code snippet for you um thanks for being here I would love for you to go and learn a little bit more about the opening meter um at the eleph energy site or follow us on github get involved come to our meetups um uh join our mailing list um I'm the author of the opening meter and I work at recurve um which incubated and launched the opening meter and would be happy to answer any questions either remotely or through the facilities here so thank you well we are going from high voltage to behind the meter and and how you act how we actually are going to be able to create um I think what a lot of folks talk about is price based grid coordination and open e meter is one of the tools that you need to have in order to be able to value uh investments in energy efficiency um thank you very much phil um I would like to um bring on the next one uh so uh kind of going in the vein around demand um this next presentation was uh it's going to be stan johnson who actually was the developer and or ralph benwick who is uh the the executive director of the um open adr alliance so open leader is um a full complete version of the open adr spec I'm sure they're going to tell you about that and uh and also tell you uh what to do with it and uh how it is that uh stan who works for a utility in the netherlands and uh is um enabling um onboarding of immobility so I hope he goes into all of it thank you very much uh Theo it let it roll hello everybody this is ralph benwick technical and managing director of the open adr alliance I'm happy to be here today to give you a brief introduction to the open adr standard after that stan will continue to give you more information on open leader and how to actually implement uh the open leader uh open source protocol into a product so let's hop right in basically open adr is a non proprietary open standard to communicate between demand response service providers and resources downstream so this is typically done through the a secure internet connection which can already be available at the customer side or of course it could be done through a dedicated link like a cellular modem or things like that in rare cases typically however it uses already existing internet connectivity the open adr signal can also be sent to an aggregation point this aggregation point can be either a aggregator company or it could just be simply a facilitator that receives the signal and spreads it out to other devices for instance you can imagine this like a cloud-based thermostat control that being said open adr has been around for quite a while in fact since about 2002 when the concept was conceived in california after the energy crisis of 2001 so it's been around a while but we have improved it over the years and since 2013 now we have the final specifications we are however always looking at improvements and making sure that things are going the way they should open adr by now is also an iec standard listed there and you can purchase it at the isc as well so let's look a little more at the concepts behind open adr we are having we are seeing i should say two different players here the virtual top node the vtn and i believe stan will also mention these names so it would be good to take a good look here and the virtual end node the virtual top node is a server that manages all the resources it will create and transmit event messages using open adr to the resources out in the field it can also request reports back with feedback from these resources the clients the ven's consequently are part of the resources out in the field and they can receive these events and will respond to them all messages are peer to peer there is no networking involved at this point the services of open adr primarily include the event service which is very similar to a calendar notice so you have a start time and end time and you can send a number of different information elements in there from price information all the way to specific energy requests everything can be embedded in these event messages there are a few other services here but most important aside from the event service is the report service which provides feedback from the from the resources upwards everything is xml payloads and we secure the links with a tls 1.2 typically we have seen in the past efforts to flatten the peaks in a grid connect system really only to manage the times where there is too much load on the network that was the initial idea behind open adr starting in 2001 and 2002 however by now we are seeing much more out in the field and open adr is being used to send all kinds of control commands to control systems that in turn can then manage other systems like storage like ev chargers micro grids and so on and so forth so all of this is being discussed these days and a lot of it is already implemented one example here for instance is electric vehicle charging systems using open adr to send prices or specific energy requests and then ocpp from the charge station management system to the chargers thank you very much and i'll turn it over now to stan for his in-depth presentation of open leader and how to implement open adr welcome thank you role for that introduction to open adr my name is stan jansen and i will show you all about open leader open leader is a python package that allows you to quickly integrate open adr communication into your existing or new projects it supports both clients and servers so you can create both ends of the communication either for testing or pilots or whatever suits your application at the moment it's great for prototyping fast iteration pilot projects and exploration but it's licensed under the apache 2.0 license which means it is also applicable for commercial use let's dive right in how can you create an open adr ven or client using open leader well you need to take these four steps you create an open adr client with some basic information about your ven and the vtn that you want to connect to like your ven name and the vtn url then you add you tell the open adr clients which reports you can provide and you provide a callback function that can generate the values you give it a handler that needs to be called whenever an event comes in and that's it that's all you need to do registration message encrypting and authentication polling for updates delivering reports all of that is taken care of by open leader now what does it look like this is how you can get started you import the open adr client from open leader you create a client with a ven name and a vtn url and you run it on the python asyncio event loop that's it now after you run this client here's what happens the ven will first do a oadr query registration which asks the vtn which protocols it supports and some other meta information the vtn will reply with a oadr created party registration message that tells you all about the vtn then it decides to register to this vtn with the ven name the vtn will check it and will do some validation and authentication and it will give you a unique ven id and a registration id now you don't need to remember those id's those are remembered by open leader and they are incorporated into all of the messages that you send out and then the event will automatically start polling for new messages so every for instance 10 seconds it will ask the vtn do you have anything new for me and it can either say no and you get an empty response or it can say yes i have an event for you and then you can get to work dealing with that event now for security you would not just use plain HTTP without any form of authentication so you use HTTPS and you use client side certificates and by simply adding these three lines you automatically add tls encryption over the connection and you automatically sign your xml messages so the vtn can be sure that they weren't tampered with in transit and if you also want to check that the messages from the vtn are actually from the vtn you think it is you add their fingerprint and it will automatically validate that so this is this takes care of all of the security of your communications in a very elegant way now the client is now connected and securely connected but it's not doing anything useful yet so let's add some reporting the only thing we need to do is add a report so client dot add report we give it a function a callback function that can generate the values in this case it reads an electricity meter we tell it what resource it applies to and what the measurement is in this case it's voltage and at what sampling rate we can supply these measurements and that's it what happens now after registration is it sends a create report to the vtn that contains your newly created report and the vtn decides if it wants to report or not and it lets you know and if they want it the open leader van will automatically set up the scheduler that will call your function to retrieve the values and send off the reports to the vtn and then the vtn just receives the values which is pretty straightforward and pretty simple and it only took a few lines of code and this part in blue of course happens over and over at the requested report interval now we're sending out reports but now we also want to handle events that come in so we add a handler for the on event event in this case your handler will simply receive a dictionary that contains all of the information on the event and you can unpack it you can look at the signals in the event you can look at the individual intervals in the event and the values that it sets and in this case we tell a hypothetical control device to execute this schedule in the future and we only need to return opt in or opt out so if you are taking part in this event you return opt in and otherwise you return opt out and open leader will send the correct response to the vtn and that's it now you've integrated registration reporting and event handling into your van in just a few minutes and just a few lines of code and all you need to do is focus on your own device control model which is pretty great now let's take a look at the other side let's take a look at the server the virtual top node it's pretty similar you create a open ADR server with a vtn id this is how you identify yourself to the events that connect to you and you run it and now clients can connect but there's nothing much interesting happening so we need to implement three things which is the registrations the reporting and the events so we add a handler for the party registrations this will be called whenever a party sends a yes i want to register and this is my van name it calls your callback function with the registration info you look it up in your database i implemented a very dummy implementation here that simply checks for one van name but you would go out and look up in your database or something and if you if you agree to this then you return a van id and the registration id to the van that's all you need to do the open adr message will be packed up automatically or if it's not allowed you simply return false and it will reject the client now then the client is probably going to offer you some reports so you add a handler on register report and if you make this handler have the signature of resource id measurement units scale minimum and maximum sampling intervals then you all then you get each measurement as a separate call to that function and for each of those measurements you can decide do i want this or do i not want this and at what interval do i want to receive these reports and you again you return a handler that will be called whenever one of those reports comes in and you return a sampling interval that's it now once once the vents start sending you these update report messages your store voltage handler in this case will get called with the data it receives a list of time value pairs and you can put them in a database or you can analyze them or you can do whatever you want with them again in just a few lines of code now that we receive the reports you probably want to send out some events and that couldn't be easier as well the only thing you need to do is call server dot add event add your event details in there so for which then is this event meant and what type and name of the signal and what are the intervals that you're going to give it and what what is the target of your event and you also give it a callback so that once the opt-in or opt-out response comes in you'll be notified if the event actually took part in it or not again it's very simple and this event will be put onto a queue whenever the ven does the poll the automatic queuing mechanism will supply this message to the ven and everything else happens automatically let me give you a short demonstration of open let me give you a short demonstration of open leader in action with an actual vtn server and the ven that controls a controllable device all right so here i've prepared a demonstration setup containing an open adr ven right here this is a raspberry pi that is running the open leader software which is connected to this energy meter and it's connected to this switch which controls this flexible device we also have a non flexible device which is controlled by a manual switch and everything is powered by the electricity grid now i've designed it in such a way that turning on these devices will lower the voltage on the on this part of the grid and that's something that we report to the vtn and the vtn is set up to receive these reports it looks at the voltage that is being reported and whenever it exceeds 230 volts the flexible device can turn on and whenever it dips below 215 volts the flexible device has to turn off all right let's see it in action let's turn on the non flexible device and let's start up the ven now in the charts on the left you can see the metering data that is coming in and this is what the ven is reporting to the vtn as we can see we're now using about four watts and the voltage is just below 230 so this is all good but it's too low for the flexible device to be turned on all of this reporting is fully automatic the only thing we needed to do was register our reports set up a handler that reads the energy meter and everything else happens automatically now watch what happens if we turn off the non flexible device the voltage goes up to above 230 which triggers an event and that event says you can turn on your flexible device which just happened and although that caused the voltage to drop below 230 that's no there's no problem because that's a safe area for the voltage to be if we now turn on the non flexible device you'll notice that the voltage dips below 215 which triggers another event that says you have to turn off your flexible device and the flexible device turns off you can also see the status which is nicely reported in the bottom chart the yellow one and this is how easy it is so we've got all the facets of open adr up and running here we have reporting we have events we've had the whole registration part which we didn't even see because it happened automatically and it's very easy to just link this up to your existing infrastructure whether it be physical devices like this energy meter or this switch or whether it be your existing infrastructure like this time series database that i'm connecting to on the vtn side one more time if we turn off the non flexible device the voltage will again rise which will trigger an event and that event will say you can turn on your flexible device now and that's what happens so fully automatic completely compliant open adr and super simple to set up i hope this gives you a taste of what you can do with open adr and with open leader now that you've seen what open leader can do and how easy it is to get started please help us make it even better you can find us at openleader.org and you can find us on github at github.com slash open leader i also would like to thank all of the other open source developers that helped make this what it is particularly the developers of lxml aio-http and genja 2 those are at the heart of the open leader package and of course this entire video presentation was also made using open source software so thank you for that in closing i'd like to thank the linux foundation energy for their support and their outreach and i would like to thank a latin l and the open adr lines for their technical support as well thank you very much for watching this presentation and we hope to hear from you soon that's great you know ralph has been working with open adr for such a long you know he's he's he has really held that organization together and brought it out into the world and this partnership with a lot and what stan is great because there is now a fully compliant open adr client and server and just to give you a sense so that's how electric charging is being managed by the distribution utilities in the netherlands open adr is the protocol that japan is using to onboard distributed energy resources open adr is how much of the united states manages demand response so there you have it we we now have a global industrial strength open adr open leader that was great so the last video we have is is operator fabric and the story that i can tell about operator fabric was the first time that i came to paris to meet the rte and and the folks from uh who who were building the software within and they were like going you know we we want to move to open source and rt really was the founding utility and boris and geome and and benoit all came together and kind of did these demonstrations of operator fabric and i went wow this is really amazing these guys have a vision of the future and of the future of the control room and so please this last demonstration is boris dolly and henna safi and they are going to take you through operator fabric hello my name is boris i work in the french tso transmission system operator which is rte as a project manager today i'm going to show you what is operator fabric the smart assistant for utility system operators first i'll try from a theoretical point of view to answer those questions what is operator fabric about what does it look like how does it work from a software architecture point of view and what is the technology stack why should you use it and join the open source community and then anne will show you a real use cases demonstration what is a fab about you can read a fab and and hear a fab because we use the short name of operator fabric and if you use it a lot you can call it o f the purpose of a fab is to provide the right information to the right person at the right time as i told you it's very theoretical but you see it make a lot of sense by the way we reduce the number of operator screen as you can see on this picture you have the control room with a lot of screens facing the operator and then we have less screen and a key screen is the operator fabric screen the goals for a utility system whatever is the business either water gas or electricity is to improve the coordination between actors of different trades in a company inside a same trade it's easy to coordinate operators but among different trades it's a real challenge and operator fabric is a great tool for that it offers the centralization of all the information for a business process and thanks to that you can capitalize on decision you can analyze what happened when why you should try to do it with a classical control room with phone calls it's hard to capitalize on decisions it's a cyber secured tool because it assets each year the code and the architecture and it offers of course transparency interoperability etc etc what does it look like on the left this is the main feature the card feed you have notification in operator fabric represented by cards one card is one notification for an operator and one card represents a state of a process at the time you are watching it so we have four colors first red then orange blue and green it's a severity level red level means you as an operator we need you to take decision or make an action orange you have to know what happened on this process blue it's an information about the process and green it's an information that you are waiting for on a process it's okay but you need to know that this is okay on the right side of the screen in this pane you see when you click on a card the detail of a card you can of course just read the message or interact with this message and then the last part is the timeline here is the real time view RT as you can see here and you have bubbles which are the time viewing of the card notification you can click on that and go to the cards of course and you have a day view seven day view which is the business week and you have the week the month and year if you want from a software architecture perspective operator fabric is very simple why because operator fabric is able to send a card by itself we call it free messages but the goal of operator fabric is to receive notification through rest apis so it's a very low cost to bring operator fabric in your it system because your application are maybe already ready to send notification through rest apis so you can bring into your control room really easily and that's what we did the technology stack is at this state of art it's a web application so it's a java and spring development and there is a full CICD solution so you can find everything on the code on our github and on the website the git pages site you can find everything about the community this community is very dynamic and very professional the license of the software is modular public license version two and we really would like you to jump in so take it with you and go back to us and your turn you can go live for the demo so thanks Boris for this great interesting introduction of the main concepts of operator fabric i'm Anais Safi the current product owner of operator fabric and i'm really thrilled today to make this demo so first before starting i would just would like to make a short disclaimer so the two use cases that i'm about to show you today are highly inspired from real ones but we've made some modification to make it simple for those who are novice in the energy field and also for confidentiality matters so the first example that i want to show you today is about igcc which stands for international grid control cooperation i would start first by giving some background information about the igcc so each transmission system operator like rte has the responsibility to keep the voltage and frequency at a certain level and ensure that the equilibrium between the consumption and the production is met so when there is an imbalance between production and consumption frequency and voltage change in the grid and if nothing is done it can lead at some point to a blackout so to avoid these kind of situations tso have established several mechanism and among them there is what we call the automatic frequency restoration process which aim is to restore the frequency to 50 hertz so long story short this mechanism consists in injection or withdrawing electric coal power in the grid to restore the frequency level this mechanism has been streamlined to be performed at the european grid level to ensure more cooperation between tso's and is now known under the name of igcc so every country compute the power they can provide to the grid if there is a need to restore the frequency the igcc energy quantity is computed several times a day and takes into account the events that occur in the grid system so in my example i will show you a screen of an operator who will receive information about the igcc level throughout the day so now i'm i'm logging in the first uh in the main page of retro fabric and i will simulate an api call from a third app informing about the igcc level so as you have seen uh my my user have just received a new card about the igcc saying there is we have to lower the the level we can't provide more 300 megawatts and let's say that during the day there is a contingency or a critical situation and we can no longer participate to this mechanism so this card will be updated and as you have seen the card moved from orange to red to warn the operator that there is an issue and the quantity now is equal to zero so let's say at the final step that we've made um that the situation has changed and is now back to normal so the igcc level is recomputed again to take uh into account the new situation and card will now be updated and it will turn to green to say that well everything is good we can participate can go back to the normal level and we can participate to restore the frequency level if needed so as you can see a card can be updated to to inform about new situations and uh what i want to also to notice is that in the same screen and that is really the power of operator fabric is that we can receive data and updates from several apps uh such as isn't this example um i'm receiving information about igcc but at the same time i can receive information about network contingencies planned outages uh the electricity forecast conception and uh now i suggest to move to the second one throughout this example what i want to show you uh is how we can use operator fabric facilitate and to make easy the coordination between different entities it's a pretty basic example it's not relinked 100 to the electrical field it's made on purpose to show you that we can use operator fabric in different contexts so let's move to operator fabric now i will log in with another user who is from an IT supervision center let's say he has noticed an issue in the network and he wants to notify different control rooms about this issue this time i won't make i won't simulate a third app but i will do it uh by manually by creating a card directly from operator fabric so in case for instance of an emergency of our typical situation we can use the card creation feature so let's say this is a critical issue so it will be an alarm and say it's a network slowdown and investigation let's say that it has an impact or on app a app b or service a service b whatever and uh i will send this card to the control room one and control room two because i think that uh they're they are the ones who are uh involved and impacted by uh this uh issue so i will send the card see that card has been created and now i will log out and log in as operator one who belongs to the control control room one and i will take i will see uh the card coming yes i can response to this card uh to give maybe further information and to respond to answer the it supervisor that i have noticed also issues on service c for instance i will validate the answer as you can see we can uh the the answer is my answer is displayed and the name of my control room turns to green to say that i have answered to this card so what i uh suggest is to log out and connect as operator two who belongs to the control room two you see he has also received this card and he can see that the control room uh one has already responded to this card he can give his own point of view of the impact that he has noticed let's say he's sharing the same point of view with the control room one so i will tick these three boxes and validate my answer so as you might see control room two has turned to green as well as long as the operator has responded to the card so and let's say this card will be updated when the issue will be resolved and it will turn to green to say okay everything is back to normal so i hope that through this second example you have seen how we can use operator fabric as coordination tools so that brings us to the end of this demo and the end of this presentation i hope that it has been very informative on behalf of operator fabric team rte and lf energy i would like to thank you for your attention um we'll remain at your disposal if you have any question or any suggestion we'll be more than happy to discuss it uh with you thank you very much you know it makes me so happy to see all that oh my god you know um these guys have come a really long way uh open source and utilities have um it's a pretty new innovation uh you have an industry globally in which for the most part have been dominated by a few vendors and in which regulators have in many ways taken away the capacity of utilities to be able to actually lead and um do their work at the speed of technology so these guys are breaking down walls and you can hear the joy and excitement and enthusiasm what they're doing so i i really want to invite you all uh to uh take a look so i'm gonna close with just a couple of um um just a couple of things before i leave before we all leave okay and you know again if you want to leave a question please do so um i want to let you know about how to do code contributions um lf energy is growing as you saw with the you know pretty large functional architecture we're talking about a microservices environment uh that you know i i can kind of imagine what will be different about lf energy and the other projects that the linux foundation is we probably will have hundreds of projects we have two projects that are starting up right now um that are actually based on code from other foundations and so we're learning how to do that we're learning how to compose the future there's a new project that's coming in that's a multi protocol gateway that's based on fledg which is an lf edge and we have another project that's a digital bill of material which is around supply change security um that's coming out of the debaum uh consortium so there basically two ways the projects come into the foundation one is through special interest groups or working groups and the other one is through you know project proposal that comes directly in so you can go to the wiki um and it's wiki.lfenergy.org and you will see um that there's a project proposal process um please take a look at it and um we're really interested in any software uh contributions um so um please take a look if that's of interest to you and let's see um join our community so if you go to lfenergy.org slash join uh i'm sorry lfenergy.org slash community um you will see that we've really done our best to get organized um set up your community and communication channels learn about the frameworks join a special interest group start a working um start working on a project um you can see that uh links to the wiki to the mailing list and to slack um you know we're at the very beginning the next 10 years are going to be the most important 10 years in humanity in many ways and um so you know communicating uh with you all and sharing this it you know it it is a thrill of a lifetime for me and I know for all of the developers and power system engineers um that you saw tonight um so go jump in get involved we're just beginning it's a little bit like a frontier town sometimes um but you know we're getting it um you know like in any of the other foundations you know the idea is 80 percent open source 20 competing on products and services um and you know this leverage development model is really alive and well and lf energy and that is where the cooperation and the collaboration is getting built um and that is what an open source open open source software ecosystem looks like i'm getting tired um so uh i but i'm really excited by this so and i think that you all know what the benefits of the linux foundation are um so i'm gonna keep moving um what i do want to share with you is kind of our membership and participation levels um really we have uh two tiers we have a strategic membership tier and we have a general membership tier um all of this is on our website it's all posted you can find it all um please come and join us absolutely any project is open you don't have to be a member to join just like all the other projects at the linux foundation but part of what's really important and special about what's happening here in lf energy is that we really are creating um a community that is going to transform the power systems on the planet and are going to enable in that way automobile companies to transform because if the grids aren't ready for the automobiles then how are you going to charge the automobiles so we're kind of in this together and you know i would also say that with regards to cloud and to you know infrastructure and large computing systems we have to figure out how to create you know carbon neutral carbon negative computing infrastructure and where i think you know by some estimates five to eight percent of the planet's energy is going to computing or is going to be going to computing and yes we are probably going to double the amount of energy that we're going to consume in the next 30 years so in order to be able to do that we have to get really good at onboarding renewable energy and being able to orchestrate devices and that energy so come and join our community it's the best place to learn how to do it and to be part of it um we are going to change the world and um thank you very much for your time this is my contact information um i am always reachable uh that's our website uh how to join our mailing lists our wiki i think many of you also know mike dolin you can also reach out to him uh thank you very much to theo and to all the folks that helped make the who just has been amazing our colleagues from sony um you know having you on board uh you are helping us shift our center of gravity um from europe to north america to asia and australia and um you know we this is a global event that we are decarbonizing our economies together and this is ground zero so thank you very much um i'm always open for questions feel free to reach out to me uh you know connect with me on linkedin and thank you very much i hope you have a good rest of your day and a good summit stay healthy have a happy new year and 2021 is going to be a much better year i'm pretty sure thank you