Research On The Energy Saving Mode Of University Building Data Under The Background Of "Dual Carbon"

With the continuous acceleration of urbanization and the rapid development of China’s economy,energy shortage and environmental pollution have become the main obstacles to China’s development.For this reason,China has proposed the goal of carbon peaking and carbon neutrality.Energy consumption in colleges and universities accounts for a large part of social energy consumption.In order to help China achieve the "double carbon" goal as soon as possible,colleges and universities should analyze the problems in energy conservation and emission reduction in schools in combination with building energy consumption data and school carbon emission values,And formulate corresponding energy-saving strategies based on these issues to reduce the consumption of campus resources and carbon emissions,and improve the campus energy efficiency.This article is based on the energy consumption dataset of 26 buildings in a university in Northeast China.After consulting domestic and foreign references,the trend of energy consumption changes in the university was analyzed.The results showed that energy consumption has been increasing in the past 5 years.A neural network model was constructed to predict the energy consumption data of campus buildings.BP and LSTM neural network parameters were selected to construct a prediction model.Genetic algorithm was used to optimize BP and LSTM neural networks,and the model was trained,Comparing the average absolute error,mean square error,root mean square error,average absolute percentage error and algorithm performance of BP,LSTM,GA-BP and GA-LSTM algorithms,the results show that GA-BP algorithm can improve the optimization ability of BP algorithm,overcome the high training complexity of LSTM algorithm,and the model prediction is more realistic.Then the algorithm is used to predict the building energy consumption of the school in the next few years,And use this dataset as the basic data for carbon emission prediction.Based on the predicted dataset,calculate the carbon emissions and reduction emissions within the campus.The carbon emissions include building electricity,building water,heating coal,natural gas,and domestic carbon emissions.The carbon reduction emissions are the carbon sequestration of campus green plants.After analysis of the calculation results,it is found that the carbon emissions generated by building electricity and heating coal on campus account for the majority.The campus green plant area needs to be expanded to 3.2 times to neutralize these carbon emissions,Therefore,schools should increase their emphasis on energy conservation and emission reduction.Based on the above data and the current situation of energy conservation and emission reduction on campus,analyze the existing problems on campus,and provide constructive suggestions from five aspects: improving the energy conservation and emission reduction system and operating mechanism of universities,carrying out energy-saving equipment transformation and update,establishing and optimizing energy-saving monitoring platforms,strengthening energy-saving publicity,and optimizing green plant layout,in order to achieve the goal of reducing carbon emissions on campus,improving energy conservation rates,and providing new ideas for energy conservation and emission reduction in other universities.