Shu Su , Ao Sun , Hongtu Yan , Qian Wang , Lei li , Jiachen Zhu
{"title":"Optimization of construction program for economic and environmental sustainability","authors":"Shu Su , Ao Sun , Hongtu Yan , Qian Wang , Lei li , Jiachen Zhu","doi":"10.1016/j.rser.2024.115006","DOIUrl":null,"url":null,"abstract":"<div><div>The construction industry plays a significant role in promoting economic development; however, it causes several environmental problems. Balancing economic and environmental sustainability (EES) is a key challenge for contractors. Obtaining a sustainable construction program necessitates a significant amount of time, manpower, and expertise in practice. This study develops a method to optimize the construction program with the goal of EES, which deploys the non-dominated sorting genetic algorithm III to rapidly solve this multi-objective optimization problem through Pareto front approximation. Variables and search spaces are defined, and two databases are established for global search. A fast and automated tool is developed based on the proposed optimization method, featuring a convenient workflow and user-friendly graphic user interfaces to lower the entry barrier. The effectiveness, applicability, and robustness of the developed method were validated through four diverse case studies, demonstrating its capacity to achieve carbon reductions of up to 49.02 % and cost savings of 34.54 %. This research helps contractors make informed decisions about the design of optimal construction programs and the sustainability challenges in construction. In addition, it contributes to the intelligent development of the construction industry.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":null,"pages":null},"PeriodicalIF":16.3000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable and Sustainable Energy Reviews","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364032124007329","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The construction industry plays a significant role in promoting economic development; however, it causes several environmental problems. Balancing economic and environmental sustainability (EES) is a key challenge for contractors. Obtaining a sustainable construction program necessitates a significant amount of time, manpower, and expertise in practice. This study develops a method to optimize the construction program with the goal of EES, which deploys the non-dominated sorting genetic algorithm III to rapidly solve this multi-objective optimization problem through Pareto front approximation. Variables and search spaces are defined, and two databases are established for global search. A fast and automated tool is developed based on the proposed optimization method, featuring a convenient workflow and user-friendly graphic user interfaces to lower the entry barrier. The effectiveness, applicability, and robustness of the developed method were validated through four diverse case studies, demonstrating its capacity to achieve carbon reductions of up to 49.02 % and cost savings of 34.54 %. This research helps contractors make informed decisions about the design of optimal construction programs and the sustainability challenges in construction. In addition, it contributes to the intelligent development of the construction industry.
期刊介绍:
The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change.
Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.