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基于层次分析法-灰色关联分析的中国农村可持续发展 SIP 建筑评价。

Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis.

机构信息

School of Economics and Management, Chang'an University, Middle Section of South Second Ring Road, Xi'an 710064, China.

Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L3C5, Canada.

出版信息

Int J Environ Res Public Health. 2017 Oct 25;14(11):1292. doi: 10.3390/ijerph14111292.

DOI:10.3390/ijerph14111292
PMID:29068420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5707931/
Abstract

Traditional rural residential construction has the problems of high energy consumption and severe pollution. In general, with sustainable development in the construction industry, rural residential construction should be aimed towards low energy consumption and low carbon emissions. To help achieve this objective, in this paper, we evaluated four different possible building structures using AHP-Grey Correlation Analysis, which consists of the Analytic Hierarchy Process (AHP) and the Grey Correlation Analysis. The four structures included the traditional and currently widely used brick and concrete structure, as well as structure insulated panels (SIPs). Comparing the performances of economic benefit and carbon emission, the conclusion that SIPs have the best overall performance can be obtained, providing a reference to help builders choose the most appropriate building structure in rural China.

摘要

传统的农村住宅建设存在高能耗和严重污染的问题。总的来说,随着建筑行业的可持续发展,农村住宅建设应该以低能耗和低碳排放为目标。为了帮助实现这一目标,本文采用层次分析法-灰色关联分析(AHP-Grey Correlation Analysis)对四种不同的可能建筑结构进行了评估,该方法包括层次分析法(AHP)和灰色关联分析。这四种结构包括传统的和目前广泛使用的砖和混凝土结构,以及结构隔热板(SIPs)。通过比较经济效益和碳排放性能,得出 SIPs 具有最佳综合性能的结论,为中国农村的建筑商选择最合适的建筑结构提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/65f96aaf3729/ijerph-14-01292-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/00d432464502/ijerph-14-01292-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/35661efa9b19/ijerph-14-01292-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/65f96aaf3729/ijerph-14-01292-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/00d432464502/ijerph-14-01292-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/35661efa9b19/ijerph-14-01292-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d7/5707931/65f96aaf3729/ijerph-14-01292-g003.jpg

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