Research On Online Platform For Solar Energy Short-term Forecasting And Resource Utilization Evaluation Of Building Roofs In Shanghai Central Urban Area

Distributed solar energy utilization is an effective way to solve urban energy shortages and alleviate ecological pressure.Building roofs are ideal utilization scenarios for distributed solar equipment.Building roof solar forecasting and resource utilization assessment can not only promote the rational and efficient use of solar energy,provide effective reference materials for solar energy projects,but also help the national power system to rationally formulate scheduling plans,bringing considerable comprehensive economic and environmental benefits.Therefore,the construction of solar energy resource display platform is one of the key points for serving the construction of new energy cities.However,in the related research of the existing solar resource platform,there is little function for short-term prediction of solar radiation at the roof scale of large-scale urban buildings;secondly,the computational efficiency of most models is difficult to meet the real-time requirements of the prediction function.Under this background,this paper takes Shanghai as an example to build an online platform for solar energy short-term forecasting and resource utilization evaluation of building roofs in shanghai central urban area.Based on the SHORETWAVE-C solar radiation model,the platform uses reptile technology to obtain real-time cloud cover and real-time cloud cover data in real time to realize short-term solar energy prediction,and further starts from two common solar energy utilization scenarios of photovoltaic light and heat.Corresponding economic and environmental benefits.Subsequently,in order to meet the time-consuming needs of the model for short-term prediction and realtime calculation,a series of optimizations were performed on the model calculation process through optimization techniques such as asynchronous data parallel processing and raster data array processing,which greatly improved the model calculation efficiency.Finally,according to the platform development environment and data characteristics,the data partitioning scheme,platform architecture,database table structure,etc.were designed.Based on the improvement of computing efficiency and database performance,the real-time and Forecast the spatial distribution of solar radiation and the utilization of solar energy resources for display and statistics to meet different application scenarios.The specific content of the paper is as follows:(1)By analyzing the needs of the platform,the core functions of the platform are designed,including short-term prediction,real-time calculation display,statistical display,and utilization potential assessment.Based on the original SHORTWAVE-C model,the crawler technology is used to obtain the forecasted cloud amount data and real-time cloud amount data for the next 72 hours,and the calculation strategy of asynchronous data processing is proposed to improve the SHORTWAVE-C model,thereby achieving a high Real-time solar resource short-term prediction and real-time calculation functions.(2)To further optimize the solar radiation calculation efficiency of the SHORTWAVE-C model,using grid data array processing to optimize the solar radiation calculation process of the model,the calculation efficiency of a single calculation step is increased by approximately 9.31 times,and the overall calculation efficiency is increased by approximately 79.29%.And on this basis,the configuration test for the platform computing environment compares the calculation efficiency of different data blocking schemes and running schemes.And choose the best calculation operation plan,compared with the single process hourly radiation calculation under the 14 × 10 data block scheme,the overall calculation efficiency is increased by approximately 6.60 times.Then,starting from the two common solar energy utilization scenarios of photovoltaic light and heat,combined with the current photovoltaic subsidies and other policies,the economic and environmental benefits of different solar energy utilization methods are simulated.(3)According to the requirements of the platform and the characteristics of the data,we design and develop modules such as partitioned database,Redis cache database,FTP-based radiation file transfer,and corresponding data interfaces for each function.Developed an online platform for solar energy short-term forecasting and resource utilization evaluation of building roofs in shanghai central urban area,realizing shortterm forecasting of solar energy resources on the roof of buildings in the next 72 hours and real-time calculation and display of currently received solar energy resources.