 How many of you are sick of traffic jams? Thank you and lots of people I see so you may be wondering in one I'm talking about mobility when I'm here to do the book energy But you will see that the both the both subject are linked and that We can deal with the issues of mobility at the same time of the issues of issues of energy So I'm a business developer for ingestics for almost two years and Injustice is providing data and IT services to public and private entities to Better manage the data So I will propose you to talk about the open data in the energy sector through three steps How many steps? Thank you Okay, so first step will be at the challenges of the energy sector today Then the different solutions and to finish the future of the energy sector so the first challenge is pollution and the carbon emissions which are Which have a very strong impact on the environment so Now politicians are convinced about the fact that they have to do something and actually there are a lot of things to do Countries like China or India the population is growing fast the economy to and certainly the pollution to So it's a real question of head there To deal with this problem China is trying to Yeah for this for that data sorry you can see on this map Open data of the air quality sensors in a real time You can see that in China and in India the sensors are red when in Europe and the US the sensor are green and yellow Green means that the air quality is quite good But from the red color it means that the air quality is really bad and the dark red means that you should even not leave your house So to deal with that China is trying to Develop their renewable energy and China is now the first biggest market of the solar panels in the world since 2030 As you see here by 2022 the goal is to To have Big capacity of renewable production of green energy production and talking about India The goal is to read the same amount of production of renewable energy as the European Union So as we saw Renewable energy is a solution of to the pollution apart part of the solution of the pollution Emissions is in China and in India. They are producing a lot of energy through coal plants but also Renewable energy are also a challenge Yes, because you You know that Nuclear power plants you can push a button. Oh, it's all of that push a button and you produce energy But with your renewable energy you have to be depends on weather So you can't bring the planet. You have to predict it You have to predict the production of the energy and you have to predict the consumption of energy Also, how many of you have insult so solar panels at home? Thank you So these people are prosumers Mean that there are productors and consumers of energy. So also you There are distributors and transporters of energy have to take into account these five of local production in Their network of energy One other challenge to this is Smart weeks smart weeks are an answer to the Problem of renewable energy and the product prediction of this But it's also a challenge because how many of you knows what is what smart? Thank you for those who don't know so smart breeze are a network of energies energy with the sensors from the producer of energy to the consumer of energy and so the You can see that there are a lot of different actors A lot of different sensors who are emitting data information and the goal is to better manage the network of energy The problem with that and the challenge here is big data because you can Have a lot of sensors a lot of data to inform you of the actual Network of energy But you have to deal with all this data and all the and I like them Which is not always the case today And the last challenge I wanted to talk about today is the energy efficiency in buildings Because we talked about the pollution We talked about the production of energy, but also if you have to manage the Consumption of energy because if you are better producing but still consuming too much You still have a problem with It's it's not good, I mean you should just consume less to produce less and better So the solutions to these problems the first one is So our set is it that we are offering in ingestic So the first one is the energy system information system optimization because as we said the smart grids are Sending a lot of information But we have to prepare the information system to get all this data and to be able to treat this data Talking about treatment treatment of the data and the analysis we also Do that in ingestic with our data scientist and data analyst I will talk now about the project we did Concerning the second part the analysis of the data The project was with a group of schools called Cegi in Belgium So we have a lot of different buildings with the at these schools and they wanted to better manage their energy The first question was are they really consuming too much energy so to Try to answer to this question we analyzed I will talk now about one specific building So in this building we asked for the data of the Electrical data Electrical consumption of the building Then we divided this number with the number of students in that school So then we were able to compare the the consumption of electricity in that building with other buildings on this graph you see that the the consumption of per student is 250 kilowatts per year and they are finally in the average of the consumption per building in this group of school So the worst result is 650 kilowatts per student and the best is 50 kilowatts per student in a building On this graph you see per day the consumption in black the actual consumption per student in in one day of school and It's compared with the ideal consumption that a student could have in that building So we can imagine maybe that Once they will get out of the school and see on the TV before getting out that how many they consumed in the real time and It would be compared with the same day of the last year So it could be something very interesting for the education of the children Also, there are also other graphs because we compared also these data in we care of electricity Now I want to talk about GDF open data. So GDF is the Distributor of gas in France. I want to talk about this because actually in Belgium It was one of the challenges to do the project of Segec mainly When you ask for the data of consuming data of electricity and gas It's very complicated to get them because today they have to we have to ask each Distributor of energy and they have to do queries manually to get this data GDF decided to create an open data platform Which allows the sharing of data and showing the data which is not available yet in in Belgium But what is more interesting with that project is the culture of the company which changed Doing open data. They started to think oh, maybe my data are not only mine And it's very interesting to share this data with other people And that's why they decided to do the project GDF addict addict mean Access to the individual of the client par des tiers. So it is actually the Access to the individual data of the clients by escows How many of you know what escows are? Thank you So this we don't know Escows are energy services companies So it meant the new actors on the market were offering new services to clients like industries or schools or even private people So by signing up a contract with an escow You know that they will analyze your data and then try to provide Try to find solutions to better manage your electricity So basically it's what we did for the project with the schools But what is interesting is with the GDF project addict It that's with the open data thing They decided to start to share the real-time data through the API and the API is very important for Escows because they get the real-time data so they can really manage the energy consumption in real-time another solution is Another open data platform because we are here to talk about this So it's and it is and it is is the general distributor of energy electricity in France and Very often we hear that okay. I'm putting my data on the open data platform But finally I don't really know what people are doing with that. So now we talk about energy simo which is a startup who decided to have the cities to Better manage their energy and also to give some recommendations on how to improve this so for example here, I wrote not which is a city in France and Thanks to this application. I see all the data available about the consumption of electricity and the production also Then I can see here other cities which are which have the similar data to not So for example, I'm so you can compare again the cities But the most interesting part are the recommendations So and I just see more is providing recommendations in comparison with other cities Geographically similar and with weather data and also the data and energy And here for example, they provide to develop the solar panels in that city and also by a gas production talking about by a gas France have a very high goal because by 2030 they want to produce 30% of the gas consumed by biometallization So it's a lot But you can see that thanks to that platform it can help them to implement the Goals they are decided Deciding nationally to this specific reagents. So it's also a good argument for politics another application who was created thanks to open data and transporter open data is electricity map So here on this map you can see the production of electricity in real time with the emission of carbon emissions And you can see that for example here in France or in Finland. They are producing electricity with low carbon emissions Whereas in Poland, there is a very high carbon emission because they are mostly producing with cold fans We also see again in real time The flows of wind there so you can use it to predict the the production through Wind turbines. I like this map because it's quite new before with without open data We were not able to see that and here is very concrete that yes We are producing the flows are here and there are different colors here We can do better and you can have You can change the politics It's about the carbon emissions So if you're green mean that you're quite so It's not the real website. It was just to give but here you have the different proportions of Carbon emissions and so more dark the color is means that you are emitting most more Carbon It's called electricity map There is some other application. I didn't notice that but you can see the real Wind flows in real time and you can move the the planet And it was made to prove that you have more a stronger winds in the seas Then on the on earth so that maybe we should do more offshore wind Production now I will talk another about another open data platform, which is which was made by Angie I wanted to talk about Angie because Angie is a private Company is there are producer of energy and so sharing data for public entities It's complicated but for private companies. It's even more complicated Because here they shared the data of their white winter vine production so it was about four winter bands, but it's a good beginning and Because Angie has problem When they install a winter vine, they expect a lifetime of 20 years But also they want to produce the most energy possible with the winter by and they need to find a good way to produce a lot without Damaging the lifetime of the winter by So they put it the data on the open data platform and they are now organizing a hack-a-thon competition with French schools to work on it the good surprise of the project is Startup who calculated the theoretical age of the winter by Thanks to the data available on the open data platform They find a way I don't know the details, but they found a way to calculate the theoretical age Then they contacted Angie and they compared the theoretical age with the real age And now they are working to find the reasons of the difference between these ages So really even for private companies sharing data can be an opportunity to find business so as you can see Investing is very convinced by open data and that's why we developed a service which is called data for sharing in We have four steps there The first one is the analysis of the data available in the IT systems It was very often people I heard someone before who told that very often people are sharing the data That are not interesting and very often. I think that people don't know that they have interesting data They that they could share so we are doing that for them then an important point is the Legal analysis of the data because also very often the public entities and private entities Are not sharing the data because they are just scared. We talked now about the GDPR First personal data. It's a real issue that we have to manage and you can do Data sharing if you really knows what you can share what you have to analyze what you have to aggregate and to To do that The other important point is that you cannot just put data static data and wait you have to go through In the direction of real-time data because this is interesting this can help the Asks us for example to better do their job. So we are Adapting the IT system of the companies To automating the data export and go to the real-time data and Finally, we are organizing a hackathon and competition with schools. So next year it will be with a camp school in our breast cells So Have you enough energy? Because we are talking about energy, so I need energy here Because now I want to talk with you about the future and to talk about the future. I need your imagination Because I'd like to do that with you all together. So imagine You finished your work You're at your your your day is over and you go you want to go back home You go to your electric car and you turn on the engine Then you see that you have 60% of the battery charged So you want to go the fastest way at home So input you turn on ways to find the fastest way to go back home You start driving and after a few minutes and car accident happens on your road and you will be 20 minutes delayed on the Estimated time arrival But at the same time ways got the information that there is a charging station in 500 meters and That there are five spots available there And if you stay as 20 minutes of the charging station You will charge your battery until 90% For 50 cents of for 50 cents because actually at the same time ways get got the information That there is a peak of production of energy not enough consumption and the suppliers are changing the price of the electricity How many of you would stop? Thank you I would stop too at the charging station because in 20 minutes you can watch an episode on Netflix or to go to the Co-working space for example and Then you go back home. You are relaxed and you can enjoy your time because you have more battery charge and You are relaxed also by stopping to the charging station There is less car on the road. So you have less traffic jobs So to realize that project There are some data needed We need six steps of different six different types of data the car producer data geographical data localization of the charging stations and Available spots there energy with network data and energy suppliers data so I Wanted to talk about this project so to show first that you can imagine the issues of mobility and energy together But also that to do that to do some interesting applications You really need a maximum of data sharing and it can be open or not open You can have right because they are also personal data issues, but it's a real solution and just to finish as We saw open data is the basis and it drives innovations and thanks to innovation We can offer that services which could Conduct to less pollution, but nothing is possible if you don't first add up the IT systems And for this we can support this activity It's gonna make a comment on that last one. It's not the future. I mean, New York There's a neighborhood has already done this on the blockchain So all the solar panels they allow to charge but it's a trusted number So it's not open to the people in the network as they share in the needs How much they consume use and how much they will charge in their cars and give back to the good Yeah So what Jane is really interesting for the energy sector because they are so many possibilities also with the charging stations Because we also have the map to man and the flexibility it's called so like I will use my car the battery of my car as Charge as a battery right, so if there is a peak of production and no Consumption then you can charge the batteries, but if there is a lack of electricity on the network can use the batteries which are On the on the network. So it's very interesting. But also then you use the base batteries And so the lifetime of the batteries are less and blockchain is very interesting to manage all these issues Any other questions Thank you for this deep dive