Abstract
The development of the construction industry has brought great convenience to people’s lives, but the problems of resource shortages and energy consumption are becoming more and more serious. In order to solve the problem of resource shortages and energy consumption, this paper puts forward an evaluation system of technical and economic benefits of green building energy conservation based on the analytic hierarchy process and entropy weight method. In view of the correlation between building technology and economic benefits, this paper puts forward the economic benefit evaluation system of green building energy-saving technology combined with analytic hierarchy process and entropy weight methods, determines 6 first-class evaluation indexes and 20 s-class evaluation indexes, and takes the dynamic incremental investment payback period and incremental economic benefit ratio as the evaluation indexes, and finally obtains the economic benefit score and star value of green building. Combined with the actual situation of a middle school project, the incremental economic benefits of the four green technologies in energy conservation and resource utilization indicators are 44,256.75 yuan, 1,015,924.2 yuan, 255,490 yuan and 32,871.57 yuan, respectively. The total incremental economic effect and unit incremental effect of the six evaluation indicators are 1,472,113.3 yuan and 1501.99 yuan/m2 respectively. The economic effect of energy-saving and renewable resource utilization technology is the largest. The total score of the project is 0.404902 and it has three stars. Compared with traditional building technology, the application of green building technology and related facilities and equipment proposed in this paper can greatly reduce the consumption of building resources, so as to achieve the purpose of energy conservation and emissions reduction. This method combines objective evaluation with subjective evaluation, complements fair objective evaluation and expert evaluation, makes the best use of all basic information, and ensures the scientific effectiveness of the comprehensive evaluation model.