To promote new urbanisation and the transformation of the construction industry, a green degree (GD) evaluation model for prefabricated buildings was proposed under the guidance of the industrial green concept. A combined ordered weighted average operator was used to assign weights to each index. On this basis, a GD evaluation model for prefabricated buildings was established by combining normal cloud theory and matter-element theory. The application effect was analysed using the dual-case method. The results indicated that for a steel-frame-supported prefabricated structure, the GDs of energy resource indicators and environmental protection indicators were both in level 2. The GD of construction management indicators, technological innovation indicators and social coordination indicators was in 3. The overall trend was from level 2 to level 3. For prefabricated concrete structures, all indicators had a GD of level 2. In contrast, frame-supported prefabricated structures had more development advantages and had important practical significance in guiding the transformation of the construction industry and the development of new urbanisation. The GD evaluation model could obtain comprehensive evaluation results under different assembly structures, providing assistance for the green development of the construction industry.
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March 2024
Research Article|
October 12 2023
Study on a green degree evaluation model of construction for prefabricated buildings Available to Purchase
Zhipeng Huo
Department of Architecture Engineering, Yan’an University, Yan’an, China
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Publisher: Emerald Publishing
Received:
March 23 2023
Accepted:
September 15 2023
Emerald Publishing Limited: All rights reserved
2024
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (2024) 177 (1): 45–55.
Article history
Received:
March 23 2023
Accepted:
September 15 2023
Citation
Huo Z (2024), "Study on a green degree evaluation model of construction for prefabricated buildings". Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Vol. 177 No. 1 pp. 45–55, doi: https://doi.org/10.1680/jsmic.23.00016
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