Research And Practice On Energy Saving And Green Transformation Of Office Buildings In Shandong Province

With the rapid development of economy and society,people’s demand for building use functions and indoor environmental quality has greatly increased,and the total building energy consumption and its proportion in the social terminal energy consumption continue to increase.As a space carrier of economic activities and social services,office buildings are an important part of public buildings.At present,most of the office buildings in our country have problems such as high resource consumption,large negative environmental impact,urgent need to improve the working environment,and use functions to be improved.Therefore,research on energy-saving and green renovation of existing office buildings is an important way to promote the healthy development of our country’s building energy-saving work and achieve the strategic goal of total energy consumption control.It is also an inevitable choice for achieving "carbon peak and carbon neutrality".This paper took office buildings and business office buildings in Shandong Province as the research object.In addition,three research methods combining investigation statistics,numerical simulation and data mining were used to study the characteristics of building energy consumption,building energy saving potential,influencing factors of building energy consumption,prediction model of building energy consumption,suitability technology of building energy saving green transformation,optimization of building energy saving green transformation scheme and so on.The main research work and the results obtained are as follows:1.The development scale and energy consumption characteristics of existing office buildings in Shandong Province were analyzed.Based on the energy consumption data of1388 existing office buildings in Shandong Province collected by the research team,the author conducted research on the development scale of civil buildings in Shandong Province and their energy consumption status.The energy consumption characteristics of office buildings and commercial office buildings were systematically analyzed,and a typical office building was taken as an example to quantitatively explore its building energy-saving potential.Research showed that the annual energy consumption of office buildings after effective energy-saving measures was reduced by 39.54% compared to those without energy-saving measures.2.In view of the fact that the interaction mechanism of the influencing factors of office building energy consumption has not yet been fully clarified,and the BP neural network predicts office building energy consumption,there are problems such as weak model generalization and low prediction accuracy.The internal factors affecting office building energy consumption were studied.The mechanism of action was to establish an office building energy consumption prediction model based on the coupling of data dimensionality reduction method and BP neural network method.Based on the energy consumption statistics of 118 office buildings,a quantitative analysis of the complex relationships among various factors affecting office building energy consumption was carried out through statistical methods such as correlation analysis,cluster analysis,and path analysis,and it is found that office building energy consumption factors interact closely.The two data dimensionality reduction methods of factor analysis and principal component analysis were used to reduce the dimensionality of each influencing factor of the office building energy consumption,and then the BP neural network method was used to establish the prediction model of office building energy consumption.Finally,the prediction result was compared with the prediction result of the stepwise regression model.The simulation results show that the prediction accuracy and stability robustness of the office building energy consumption coupling prediction model are significantly better than the traditional BP neural network model and the stepwise regression model,which significantly improves the generalization ability of the prediction model.3.This paper discussed the suitability technologies for energy-saving and green renovation of existing office buildings in Shandong Province.Based on the theory of suitability technology,it elaborated on the four aspects of economic development level,natural environmental conditions,resource endowment and science and technology level,and clarified the working ideas of suitability technology for energy-saving and green renovation of existing office buildings;According to the comprehensive development and application status of office buildings in Shandong Province,the suitability technology of energy saving and green renovation of office buildings with climate adaptation price was studied and put forward,which is suitable for the renovation objects of envelope structure with good effect,such as the envelope,HVAC system and lighting system.4.In view of the many problems in the selection of traditional building energy-saving green renovation schemes,such as strong subjectivity of decision-making indicators and too single decision-making methods,the author proposed a decision-making model for building energy-saving green renovation scheme selection based on a combined decision-making method and gave empirical analysis.Firstly,eight decision-making methods including osculating value method,efficiency coefficient method,TOPSIS method,fuzzy similarity priority ratio method,etc.were used to make a preliminary evaluation on the alternatives of limited building energy-saving and green renovation,and then the eight single types were evaluated by the correlation coefficient within the group and the Kendall coordination coefficient.The calculation results of the decision-making method were tested for consistency beforehand,and finally,the Kendall coordination coefficient and Pearson correlation coefficient were used to test the consistency of the combined decision results of the limited building energy-saving green renovation options afterwards.The empirical analysis results verified the correctness and rationality of the model.5.Taking an actual office building in Jinan City as an analysis case of energy-saving green renovation,based on the energy-saving diagnosis of the building,9 alternatives for building energy-saving green renovation were proposed,and energy consumption simulation calculation and economic analysis was carried out with the help of De ST building energy consumption simulation software.The results showed that the decision-making results of the model were completely consistent with the transformation plan finally adopted by the project.The office building energy consumption prediction model based on the data dimensionality reduction method and the BP neural network method,which is constructed in this subject research,has certain guiding significance for improving the accuracy of office building energy consumption prediction and facilitating the revision of public building energy consumption standards;At the same time,the optimal decision model of building energy-saving green renovation scheme based on combination decision method can also make up for the defects existing in the selection of existing renovation scheme,provide a scientific and comprehensive scheme decision thinking,and lay a good foundation for the smooth implementation of the existing office building energy-saving green renovation project.