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.
Highlights
With the rapid development of the social economy and the acceleration of urbanization, a series of problems such as ecological deterioration, environmental pollution and resource depletion are becoming more and more serious (Sim and Putuhena, 2015) [1]
According to the calculation results of incremental cost and incremental effect, the economic evaluation indexes of various green building technologies are obtained by using the formula of incremental investment payback period and incremental economic effect cost rate
Compared with traditional building technology, the application of green building technology and related facilities and equipment can greatly reduce the consumption of building resources, so as to achieve the purpose of energy conservation and emission reduction
Summary
With the rapid development of the social economy and the acceleration of urbanization, a series of problems such as ecological deterioration, environmental pollution and resource depletion are becoming more and more serious (Sim and Putuhena, 2015) [1]. This paper puts forward a green building cost increment model, and combines AHP and entropy weight method to determine the combined weight to evaluate the economic effect. A green building economic effect evaluation model based on AHP and entropy weight method is proposed. Dynamic incremental payback period and incremental economic effect ratio, are introduced to combine the subjective weight obtained by AHP. The second part mainly introduces the current situation and challenges of green building economic effect evaluation, and introduces the application of the entropy weight method in many fields. The second part describes the analytic hierarchy process (AHP) and entropy weight algorithm, and introduces the economic effect model based on the combination of the two algorithms. The fourth part summarizes the experimental results, points out the shortcomings of this study, and points out the direction of further research
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