{"title":"利用系统动力学选择绿色混凝土材料,实现住宅建筑的循环经济","authors":"Heba Marey , Gábor Kozma , György Szabó","doi":"10.1016/j.clema.2024.100221","DOIUrl":null,"url":null,"abstract":"<div><p>Increasing the number of residential buildings due to rapid urbanization growth has led to the massive consumption of concrete materials and significant negative environmental impacts worldwide. Properly selecting green concrete (GC) materials in residential projects can promote sustainable construction practices and achieve a circular economy (CE). This paper aims to identify and analyze the parameters affecting GC material selection based on CE principles by developing a system dynamic (SD) model to investigate the environmental and economic benefits during the construction process. The system dynamic-based framework (SD-BF) is used to investigate the simulation interaction of the variables between the GC original scenario and several hypothetical scenarios through the simulation process, including fly ash concrete (FA) and recycled aggregate concrete (RAC). The causal loop diagrams (CLD) and stock and flow (SF) diagrams are created to investigate the inner relations among the GC variables that can achieve CE. The SD model was applied for a residential building case study in New Cairo City, Egypt, using Vensim to simulate and analyse the most appropriate GC scenarios regarding cement, natural aggregate, CO<sub>2</sub> emissions, cost-effectiveness, and waste generation. The results showed that using various concrete scenarios could enhance the GC selection for CE principles, in which cement reduction is the most effective variable, and the reduction reached 19.8% and 11.4% in the most optimum scenarios, while the natural aggregate (NA) reduction reached 19.1% compared with the original scenario. This development is vital for achieving CE and closing the concrete materials loop, which helps construction decision-makers select suitable concrete materials for future residential projects.</p></div>","PeriodicalId":100254,"journal":{"name":"Cleaner Materials","volume":"11 ","pages":"Article 100221"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772397624000054/pdfft?md5=84987f6417262e94b2a0bdd957e6371f&pid=1-s2.0-S2772397624000054-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Green concrete materials selection for achieving circular economy in residential buildings using system dynamics\",\"authors\":\"Heba Marey , Gábor Kozma , György Szabó\",\"doi\":\"10.1016/j.clema.2024.100221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Increasing the number of residential buildings due to rapid urbanization growth has led to the massive consumption of concrete materials and significant negative environmental impacts worldwide. Properly selecting green concrete (GC) materials in residential projects can promote sustainable construction practices and achieve a circular economy (CE). This paper aims to identify and analyze the parameters affecting GC material selection based on CE principles by developing a system dynamic (SD) model to investigate the environmental and economic benefits during the construction process. The system dynamic-based framework (SD-BF) is used to investigate the simulation interaction of the variables between the GC original scenario and several hypothetical scenarios through the simulation process, including fly ash concrete (FA) and recycled aggregate concrete (RAC). The causal loop diagrams (CLD) and stock and flow (SF) diagrams are created to investigate the inner relations among the GC variables that can achieve CE. The SD model was applied for a residential building case study in New Cairo City, Egypt, using Vensim to simulate and analyse the most appropriate GC scenarios regarding cement, natural aggregate, CO<sub>2</sub> emissions, cost-effectiveness, and waste generation. The results showed that using various concrete scenarios could enhance the GC selection for CE principles, in which cement reduction is the most effective variable, and the reduction reached 19.8% and 11.4% in the most optimum scenarios, while the natural aggregate (NA) reduction reached 19.1% compared with the original scenario. This development is vital for achieving CE and closing the concrete materials loop, which helps construction decision-makers select suitable concrete materials for future residential projects.</p></div>\",\"PeriodicalId\":100254,\"journal\":{\"name\":\"Cleaner Materials\",\"volume\":\"11 \",\"pages\":\"Article 100221\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772397624000054/pdfft?md5=84987f6417262e94b2a0bdd957e6371f&pid=1-s2.0-S2772397624000054-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cleaner Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772397624000054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Materials","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772397624000054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
随着城市化的快速发展,住宅建筑的数量不断增加,导致混凝土材料的大量消耗,并对全球环境造成了严重的负面影响。在住宅项目中正确选择绿色混凝土(GC)材料可以促进可持续建筑实践,实现循环经济(CE)。本文旨在通过建立一个系统动态(SD)模型来研究施工过程中的环境和经济效益,从而根据 CE 原则识别和分析影响 GC 材料选择的参数。本文采用基于系统动态的框架(SD-BF),通过仿真过程研究粉煤灰混凝土(FA)和再生骨料混凝土(RAC)等 GC 原始方案与若干假设方案之间变量的仿真交互作用。通过创建因果循环图(CLD)和存量与流量图(SF)来研究可实现 CE 的 GC 变量之间的内在关系。在埃及新开罗市进行的住宅建筑案例研究中,使用 Vensim 对 SD 模型进行了模拟,并分析了水泥、天然骨料、二氧化碳排放、成本效益和废物产生方面最合适的 GC 方案。结果表明,采用不同的混凝土方案可以提高针对 CE 原则的 GC 选择,其中水泥减少量是最有效的变量,在最理想的方案中,水泥减少量达到 19.8%,天然骨料(NA)减少量达到 11.4%,而天然骨料(NA)减少量与原始方案相比达到 19.1%。这一发展对实现 CE 和混凝土材料闭环至关重要,有助于建筑决策者为未来的住宅项目选择合适的混凝土材料。
Green concrete materials selection for achieving circular economy in residential buildings using system dynamics
Increasing the number of residential buildings due to rapid urbanization growth has led to the massive consumption of concrete materials and significant negative environmental impacts worldwide. Properly selecting green concrete (GC) materials in residential projects can promote sustainable construction practices and achieve a circular economy (CE). This paper aims to identify and analyze the parameters affecting GC material selection based on CE principles by developing a system dynamic (SD) model to investigate the environmental and economic benefits during the construction process. The system dynamic-based framework (SD-BF) is used to investigate the simulation interaction of the variables between the GC original scenario and several hypothetical scenarios through the simulation process, including fly ash concrete (FA) and recycled aggregate concrete (RAC). The causal loop diagrams (CLD) and stock and flow (SF) diagrams are created to investigate the inner relations among the GC variables that can achieve CE. The SD model was applied for a residential building case study in New Cairo City, Egypt, using Vensim to simulate and analyse the most appropriate GC scenarios regarding cement, natural aggregate, CO2 emissions, cost-effectiveness, and waste generation. The results showed that using various concrete scenarios could enhance the GC selection for CE principles, in which cement reduction is the most effective variable, and the reduction reached 19.8% and 11.4% in the most optimum scenarios, while the natural aggregate (NA) reduction reached 19.1% compared with the original scenario. This development is vital for achieving CE and closing the concrete materials loop, which helps construction decision-makers select suitable concrete materials for future residential projects.