 I'll probably just quickly introduce myself and my team without the slides save a little bit of time. Hua Zhong from Nodian Trinity University and associate professor. So, thank you for joining the chair already introduced the topic of our presentation. It says how to use the digital technology for climate response design of the building environment sector. That's basically a link with our background. Myself is an associate professor in Nodian Trinity University. I'm also the final and the charter engineer for six chartered institute of building services engineering. So we say all from a building engineering services background, give you a little bit introduction about what's a building services engineer. If you don't know the detail, we basically fundamentally based on the building physics and the architecture science to design building environment. The building environment is not just indoor environment, but also outdoor environment. So any environment not naturally built, but it's built by us for the environment. So for indoor design actually we need to consider like a acoustic air pollution. Let's think about the outdoor facility infrastructure design and for indoor design, as you know, the heating ventilation air conditioning, the lighting acoustic system in place in the building or our subject area. So the purpose is there, how to design the building environment system, more better to make some more comfortable indoor and outdoor environment for human being. And also in particular, I don't know, majority of the person during the whole life will stay in the building environment 90 percentage of the time. So make the building environment more comfortable, which is very important for a human being. That's a traditional building engineering services subject, however, but currently the whole sector and the pressure based on these three high level target under and the document. All of that system I mentioned before the matter is heating ventilation acoustic and also control the air pollution indoor and outdoor, it all comes to my energy, all of the engineering mechanical system all comes to my energy. Traditionally, we just ignore that just use it as much as we can the energy to make a comfortable environment, but now we under these three. Three high level document and the target pressure, we need to achieve zero carbon by 2040 or 2050 depends which sector, and we need to control what our temperature, increasing by one point five degrees say, otherwise the global one is a huge problem. And also this very good framework from the United Nations about the certain ability to goals, our sector should have the whole industry achieve that eventually concern the building environment sector have a 40 percentage power 40 percentage of the energy consumption and along around 50% of the emission. So without building environment, industrial people can contribute, we cannot achieve these three goals. Today, we will introduce a what's means climate response design in the building environment sector in particular links, the micro environment with a macro environment to design better building, save energy, but same time still make the environment comfortable for human beings. And also because I invited by these the network and also I'm a expert of the network the funding from here, we will particularly focus on the innovative technology digital technology, how to help us to achieve this kind of objective is think about the climate response. So the man technology will cover today based on some detailed research project of my research I will discuss about that later on in detail, including CFD, the computational fluid dynamic simulation, building very specific building energy simulation with our energy plus based on a different software and how we can design digital to control the building environment to talk with the other system, and also currently we have a lot of further development for machine learning so how to base on the real time sense of monitoring a link with a computer vision then you from the machine learning model to predict energy consumption then we can even better control the building energy consumption. So that's a little bit of general things why it's important for climate response design, which is quickly at least here. That's a high level things building around always a kind of sustainable goal and to help us achieve these 17 goals. So one of the things I mentioned I'm a technical engineer engineer of the building engineering services, or our research actually have a good very good impact to you from the design to contribute to the building regulation. In fact, I used to do that also issue a lot of guidance high level guidance or detail technical specification recently, this one, just update to the 2020 after 20 years the last version, we usually is 2000, 2000, after 20 years, or we update that. I like this flower really the sense because I know a lot of you from a natural environment background so how our building environment. You see the core part that I mentioned before all of the building engineering services is traditionally only focus on how to use energy build a system. So the operational energy for the building rather than to make a better so more comfortable performance, but now we need to consider, consider all of these factors are think about the human being human being house and well being, and also think about the solution that I don't mention before, before that in the climate change, and also even beyond across the disciplinary with other sectors, especially for when you guys for the natural environment works about diversity ecology and we transport up and so on. So that's all of the factor we, we should come serve now for design build environment. Some project, I will give you more detailed information based on very recent project particular introduces some key digital technology we need to make the building more sustainable and the local. So I hand over to my RA, how to introduce this project and then showing you will introduce the machine learning part. So there are so many like available like climate simulation tools so the most popular one is every match. So, it can like simulate the, the micro climate around us like the vegetation. So the problem for that is, and it cannot simulate the indoor arrow situation. So, that would accurate so we use CFD, which is a very powerful digital technology to the indoor and auto at the same time. So it can like give us the temperature distributed and like the air flow movements from the safety. So, and also like we all know that if there is a very small chance it will occurs very big difference in safety. So for the, so for the, so we use like the courtyard as an example so for the courtyard, which is a very famous like the micro climate regulator so, and before our tests before. So we need the validation for the courtyard based on our like internal experiments and also like we, we, with data from other like internal papers, and to ensure our simulations accuracy. So, and, and also like for the for the we arrange like for trees inside the courtyard to see the influence of the vegetation. The, the arrow some conditions to the indoor arrow like we have two scenarios the first one is the four trees are all height of two meter and another scenario trees are 1.5 meters so we want to see that what is the difference between the height of tree impact to the indoor or the, like the air flow movement or the, or the temperature and also like we have like another case, which is very interesting is like we arranged like nine. Like water sprayer inside the courtyard to see that if I pray, if I pray to call it system influence in general. So, and also like what we are doing right now is like we did that we are doing the few tasks in in the campers in University of Nottingham. So, like we arranged like the courtyard where station and there are some trees and the house was inside the inside rooms. Um, we did this, we did a few tasks and we did the simulation in safety. Yeah. So, to enhance the indoor proper level, and also achieve a better energy efficiency, we develop a framework which use using computer vision and deep learning to actually estimate the heat emission in the indoor space. So, because, as you know that people there are different. And the people are doing different activities, or, you know, there are different numbers of people's in the space, or, you know, different numbers of equipments are using, and also different types of equipment are using the heat emission in those space are different. So, once we get the real time information from indoor space, we input it into the building and management systems to achieve demand driven control for heating cooling and ventilation to the space. So, this can both, you know, achieve a better energy efficiency, and also make a comfortable indoor space for occupants. And also the real time profile is the real time schedule of occupancy equipment can be fed into the energy simulation software to perform dynamic analysis for the building and management performance. So, as you can see, this series are like compare the typical profile which is like usually fixed, you know, like static schedule compared with the deep learning based profile as you can see the cooling demands drop. But at the same time, the heating demands are increased because you want to provide a more comfortable indoor space so you provide more heating in the winter, especially in UK. So, but as you can see, the index to assess the indoor comfort level, but as you can see for clearly increased to zero because there is the best, the most comfortable level in the space, and also for community, the increase from like around 20%, 25% to 5%, so it's a big increase of the, in truth, in treatment of indoor comfort level. So, apart from occupancy and equipment detection, we also use computer vision, it's still under development to attack like lighting, window opening and closing level, and also like for fire detection for safety. And then so using this computer vision can achieve like a rapid response. to the indoor space. And, but there's a limited research about actually combine computer vision application to the building management system. So, this is the future chain of using computer vision in the indoor space. Yeah, I saw you already catch on the, the building information modeling system that's basically a blackboard, all of these kinds of digital tools, and all of those stakeholders partners can contribute to their model their information on to this unified platform. So, this is about the assistant design and the things about the whole design as an ecosystem. And also, based on the building information modeling system recently it last few years we even start to create the same kind of a city information system and try to integrate all of the information as a one platform, then see what's the, what's the link between each other. So, how mention about this project before I mentioned we work close with the chapter needs for the six. A lot of these work will inform the guidance on the technical guide. So, the top tool now is basically the housework, we will, we just approve as MR 01, which is about how the CFD modeling consider the trees, the vegetation and the hot landscape, which never ever have a guidance for building environment sector. And that's also linked with a lot of our colleagues here if you have any data or model you think maybe link this we are very happy to put more data and the case study information into our guidance to let industrial consider more about a natural environment design and the purpose also to create another OP 01 guidance, think about not just indoor thermal comfortable also outdoor summer comfortable and how the indoor outdoor comfortable link with each other. And the rest of the guidance is the existing guidance, but I just want to mention her project due to currently we have a more like machine learning and AI technology. And so how to use these kinds of tools, update the guidance and inform the designers industrial, make their design by based on a lot of AI to supervision and inform the system control you know the boss rather than like to save energy. Some papers link with that research and that's a summary of our whole research team initially we just work on building itself and a single tools to consider carbon carbon population. Inviting more digital technology to create a more comprehensive system, concern about climate change and go beyond building we really want to multidisciplinary collaboration, the outdoor environment with indoor environment. And also the last one I did a support call to organize the master class, which address another issue, we try to create a building element for some more comfortable, so more comfortable is for human being. So all of our design now also think about the we could human center so how to bring under user into the design based on the pre and the post evaluation that's another part of the research we are doing and collect the data at the moment and then put these kind of factor models into the into the tradition design and modeling. Hey, that's all of our contact. Hopefully we can build up more collaboration and any question. So, about asking about you talk about implementing those measures and how much energy saving they produce as well as the kind of cooling. It actually depends on the location of the buildings, because it's very specific. Because for some, especially in different countries, for example, in tropical countries, actually the cooling saving going to be like a huge, you know, but like for in UK, maybe more heating and yet instead. For in this case, we focus more on human, you know, similar comfort, and then just to avoid unnecessary waste in a clean season and then also provide enough heating in the winter. But, for example, in the hot, you know, the country in the hot season, definitely going to decrease those of cooling demands. Yeah, yeah, so it really depends. Yeah, yeah, in general, like from inside is depends location depends on the project, but technology wise, we can not just take the knowledge but it's to two direction. We can see about the positive design force that I think one of the colleague from major talk about the project of passive design is based on the orientation and the building of building materials of building. Structure element itself, then if we consider that first, we can basically reduce the energy as much reduced energy demand as much as we can without energy system. But of course, they cannot cover 100%. And then we use a small amount of the mechanical system but mainly based on now we could renewable energy such as a PV system, winter by system. And then this model together with technology, technology wise or engineering side, we can achieve zero carbon, zero energy, but think about that a certain both technology goal, the economic side, maybe not worth to do that so it's still a pathway we need to trade off but by the end of 2015, maybe we can totally address this issue and change zero energy to carbon building.