Fuzzy gray clustering evaluation of green building operation effect: a case study of Shenzhen Bay One, China

Abstract

Purpose

This paper improves the evaluation index system of green building operation effect and establishes the evaluation model of green building operation effect. It is expected to promote energy saving and emission reduction and provide a more scientific evaluation method for green building operation effect evaluation.

Design/methodology/approach

First, 20 key evaluation indexes are selected to establish the operation effective evaluation index system. Then, the combined weight method is proposed to determine the weight of each evaluation index. Next, the gray clustering-fuzzy comprehensive evaluation method is used to construct the green building operation effective evaluation model. Finally, the feasibility and validity of the selected model were verified by taking Shenzhen Bay One green building in Shenzhen as an example.

Findings

This paper establishes the evaluation system of green building operational effect, and evaluates green building from the angle of operational effect. Taking Shenzhen Bay One project as an example, the rationality and applicability of the model are verified.

Originality/value

In this paper, for the first time, relevant indexes of user experience are included in the evaluation system of green building operational effect, which makes the evaluation system more perfect. In addition, a more scientific fuzzy gray clustering method is used to evaluate the operational effect of green building, and a new evaluation model is established.

Citation

Zhang, J., Zhao, H. and Guo, Z. (2023), "Fuzzy gray clustering evaluation of green building operation effect: a case study of Shenzhen Bay One, China", Kybernetes, Vol. 52 No. 12, pp. 5977-6000. https://doi.org/10.1108/K-04-2022-0623