The Utilization Potential Of Urban Solar Based On Deep Learning Technology

The current application of new energy technologies to solve the existing energy and environmental issues has become the consensus of the international community.Simultaneously,urban building energy consumption is a major source of national energy consumption.Building rooftop solar energy has the benefits of zero pollution and noise,and can easily be integrated with building roofs.It is one of the most suitable new energy technologies for utilisation in cities.The urban roof solar photovoltaic application is the policy orientation.At present,existing macro-planning and regulation lacks quantitative indicators that form the basis for the formulation of urban roofing photovoltaic standards.In terms of research content,current solar energy research is mostly based on macroscopic geographical scales and microscopic architectural scales,and lacks research on solar photovoltaic utilization potential at the meso-urban scale.In terms of research methods,urban-scale solar energy research has the issues of large amounts of calculation be required and a lack of data.At present,there is still a lack of a suitable method for the measurement of solar photovoltaic utilization potential at the city level.Therefore,the study of urban-scale solar energy utilization potential provides a new method to measure the overall solar energy utilization potential of the city,and can provide a quantitative basis for the development of urban PV planning and development indicators.This paper stems from three aspects:Firstly,the research on the loss factor of solar energy utilization in urban roofs is quite different for the current research at home and abroad.For the high-density Chinese urban form,in order to obtain the occlusion coefficient applicable to solar energy utilization in Chinese urban roofs,this paper takes Wuhan as an example.Through the investigation of nearly 88 representative real city blocks,the block information database was established,and the simulation potential was used to calculate the solar photovoltaic utilization potential of different blocks.The city block information and solar photovoltaic utilization potential database were established and analyzed.Influencing factors affecting the solar photovoltaic utilization potential of urban building roofs and the machine learning linear regression algorithm were used to obtain the solar occlusion coefficient of the urban block in Wuhan.Secondly,for the current domestic and international research,there is no calculation method suitable for large-scale solar energy measurement on the urban scale.Via U-Net artificial neural networking within deep learning technology,the roof area of the urban building surface can be used to receive solar radiation.Combined with the urban block roof solar prediction model,the spatial location and quantitative data of urban solar photovoltaic utilization potential,and taking Wuhan as an example,the overall solar photovoltaic utilization potential map of urban scale is drawn.Finally,this study analyzes and evaluates the quantification of solar energy utilization potential of various administrative divisions in Wuhan.The results provide a basis for the formulation of overall urban and regional PV construction goals,which will help to improve the existing control regulations,facilitate the implementation of urban planning for “energy autonomous communities”,and facilitate the consideration of photovoltaic power generation in the early stages of planning and design,including providing factors to improve and facilitate the consideration of photovoltaic power generation in the early stages of planning and design,including providing factors to improve the photovoltaic utilization rate of urban building roofing.The study found that the adverse effects of solar photovoltaic utilization potential of different types of urban blocks in Wuhan are different.This study measured the occlusion coefficients of different types of blocks,which were 0.01,0.04,0.13,and the overall urban roof occlusion coefficient was 0.07.According to the calculation,the total roof solar radiation in the study area of Wuhan is 135,625.90 GWh/?,and the overall roof photovoltaic utilization potential is 17292.30 GWh/?.After verification,the error between this method and the traditional method is 9.51%.In this method,through error and method verification,the time for measuring the solar energy utilization potential of the city scale is shortened to one ten thousandth compared with the conventional method.In terms of planning suggestions,this study found that the solar energy utilization potential of the plots in Jianghan District,Qiaokou District and Qingshan District of Wuhan City is generally high,and it is recommended to give priority to PV development in these regions.After the calculation,it is only necessary to develop 1.43% of urban roofing application solar photovoltaic utilization potential to meet the objectives set forth in the “Thirteenth Five-? Plan for Energy Development in Wuhan”.According to the previous study,after calculation,the urban roof installation rate experience value of 4%,the main urban roof can achieve 572,500 kilowatts of photovoltaic installed capacity.The main urban area can achieve a maximum installed capacity of 5,596,500 kilowatts.This data provides a quantitative basis for the development of Wuhan's future urban roofing photovoltaic development goals.