Economic Benefit Evaluation System of Green Building Energy Saving Building Technology Based on Entropy Weight Method
Abstract
:1. Introduction
2. Related Work
3. Economic Effect Evaluation Model of Green Energy-Saving Building Based on Entropy Weight Method
3.1. Incremental Cost Effect of Green Energy Saving Building Technology
3.2. Economic Effect Evaluation Model of Green Energy Saving Building Based on Entropy Weight Method
4. Experimental Design and Analysis
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Green Building Star | Building Energy Saving Technology (Yuan/m2) | Renewable Resources Utilization Technology (Yuan/m2) |
---|---|---|
A star | 1.58–49.57 | 1.45–15.48 |
Two stars | 13.19–223.30 | 1.45–33.28 |
Three stars | 0–170 | 0–107.31 |
Technical and Economic Evaluation Level of Green Building | Scoring Range | Star Rating |
---|---|---|
The economic effect is very good | [0,0.2) | A star |
Good economic results | [0.2,0.4) | Two stars |
The economic effect is average | [0.4,0.6) | Three stars |
Certain economic effect | [0.6,0.8) | Four stars |
The economic effect needs to be improved | [0.8,1.0) | Five stars |
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Lu, H.; Sheng, X.; Du, F. Economic Benefit Evaluation System of Green Building Energy Saving Building Technology Based on Entropy Weight Method. Processes 2022, 10, 382. https://doi.org/10.3390/pr10020382
Lu H, Sheng X, Du F. Economic Benefit Evaluation System of Green Building Energy Saving Building Technology Based on Entropy Weight Method. Processes. 2022; 10(2):382. https://doi.org/10.3390/pr10020382
Chicago/Turabian StyleLu, Hanguang, Xiaojie Sheng, and Fei Du. 2022. "Economic Benefit Evaluation System of Green Building Energy Saving Building Technology Based on Entropy Weight Method" Processes 10, no. 2: 382. https://doi.org/10.3390/pr10020382
APA StyleLu, H., Sheng, X., & Du, F. (2022). Economic Benefit Evaluation System of Green Building Energy Saving Building Technology Based on Entropy Weight Method. Processes, 10(2), 382. https://doi.org/10.3390/pr10020382