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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
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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”.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Cold Climate HVAC and Energy (Volume 1) - CCHVAC 2025
EditorsLong Ni, Peng Wang, Jiqin Li, Yongxin Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-13
Number of pages11
ISBN (Print)9789819532483
DOIs
StatePublished - 2025
Event12th International Conference on Cold Climate HVAC and Energy, CCHVAC 2025 - Harbin, China
Duration: 6 Aug 20258 Aug 2025

Publication series

NameEnvironmental Science and Engineering
ISSN (Print)1863-5520
ISSN (Electronic)1863-5539

Conference

Conference12th International Conference on Cold Climate HVAC and Energy, CCHVAC 2025
Country/TerritoryChina
CityHarbin
Period6/08/258/08/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Entropy weight method
  • Green building evaluation
  • Office buildings

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