Carbon Emission Evaluation System for Foundation Construction Based on Entropy–TOPSIS and K-Means Methods

土方工程 托普西斯 熵(时间箭头) 基础(证据) 碳纤维 环境科学 工程类 土木工程 环境工程 计算机科学 运筹学 岩土工程 算法 物理 量子力学 历史 复合数 考古
作者
Yuan Chen,Gangfeng He,Yuan Fang,Dongxu Li,Xi Wang
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:17 (1): 369-369
标识
DOI:10.3390/su17010369
摘要

Green construction evaluation systems can assist building stakeholders in scientifically evaluating the carbon emission performance of construction projects. However, most green construction evaluation tools and methods fail to explicitly incorporate construction carbon emission indicators, let alone a quantitative evaluation. Therefore, this study proposes a carbon emission evaluation system based on the entropy–TOPSIS and K-means methods for foundation construction projects. In this study, we innovatively divided the carbon emission of the foundation construction process into three phases, namely, transportation emission, excavation and earthwork emission, and pile work emission, considering their different emission characteristics and reduction difficulties by nature. Different from traditional carbon evaluation methods, the carbon emission of the three phases were evaluated separately against the baseline value obtained from local construction quota. After that, the emission performance of the three phases was weighted and evaluated based on the entropy–TOPSIS method, and then rated via the K-means method. Based on a case study of 19 residential buildings, the weights of the three construction phases were 27.66% (transportation), 42.34% (excavation and earthwork), and 29.99% (pile work). The carbon performance of the 19 cases were rated by the K-means method into four levels: six cases were rated “Excellent”, five were rated “Good”, five were rated “Fair”, and three were rated “Poor”. The proposed method was expected to objectively and scientifically evaluate and rate the carbon emission of the foundation construction process, and provided a theoretical basis for decision makers to identify emission hotspots and formulate specific carbon reduction measures.
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