With the systematic advancement of dual carbon goals and the Healthy China strategy, it is highly valuable to explore the balance and optimization of the weights assigned to the performance indicators of “resource conservation” and “health and comfort” within the evaluation framework. This study focuses on the functional characteristics and energy consumption patterns of office buildings. Based on 20 samples of green office buildings nationwide, the entropy weight method is employed to construct a differentiated evaluation model. The analysis emphasizes three core indicators: energy efficiency (including the energy efficiency of cold and heat source units, energy consumption per unit building area, and renewable energy utilization rate), thermal comfort (measured by PMV and air change rate), and environmental quality (assessed through PM2.5 levels, formaldehyde concentration, and background noise). We calculated the weights using the entropy weight method, with particular attention given to analyzing the applicability differences of samples from cold regions. This research provides robust data support for refining the classification of building categories and climate zones in the “Green Building Evaluation Standard”.

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Research on the Evaluation Weight of Green Office Buildings Based on the Entropy Weight Method: A Case Study of Cold Regions

  • Yijing Ge,
  • Long Ni,
  • Chong Meng

摘要

With the systematic advancement of dual carbon goals and the Healthy China strategy, it is highly valuable to explore the balance and optimization of the weights assigned to the performance indicators of “resource conservation” and “health and comfort” within the evaluation framework. This study focuses on the functional characteristics and energy consumption patterns of office buildings. Based on 20 samples of green office buildings nationwide, the entropy weight method is employed to construct a differentiated evaluation model. The analysis emphasizes three core indicators: energy efficiency (including the energy efficiency of cold and heat source units, energy consumption per unit building area, and renewable energy utilization rate), thermal comfort (measured by PMV and air change rate), and environmental quality (assessed through PM2.5 levels, formaldehyde concentration, and background noise). We calculated the weights using the entropy weight method, with particular attention given to analyzing the applicability differences of samples from cold regions. This research provides robust data support for refining the classification of building categories and climate zones in the “Green Building Evaluation Standard”.