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Optimizing Prefabrication of Plumbing Systems for Residential Buildings from Remote High North Communities by Considering All Three Facets of Sustainable Development
Off-site manufacturing of building components could be a solution to facilitate the construction and renovation of buildings in remote areas. However, the impact on local outcomes, transportation constraints, and the complexity of some systems remain challenging. In these communities, achieving optimal energy performance from central heating systems may require a complex pipe network. To support decision making during the design stage, this paper proposes a computational approach to optimize the grouping of components (i.e., modules of Prefabricated Plumbing Systems). The algorithm minimizes the system installation costs and CO2 emissions related to ship transportation, while maximizing the local job creation. Fuzzy logic models and NSGA-II algorithm are used to evaluate configurations and identify non-dominated solutions, respectively. For a case study with 40 components, the algorithm found solutions which reduce installation costs by up to 81.9%, generate up to 23.4 h of local jobs, but increase CO2 emissions by up to 36.7%.
Optimizing Prefabrication of Plumbing Systems for Residential Buildings from Remote High North Communities by Considering All Three Facets of Sustainable Development
Off-site manufacturing of building components could be a solution to facilitate the construction and renovation of buildings in remote areas. However, the impact on local outcomes, transportation constraints, and the complexity of some systems remain challenging. In these communities, achieving optimal energy performance from central heating systems may require a complex pipe network. To support decision making during the design stage, this paper proposes a computational approach to optimize the grouping of components (i.e., modules of Prefabricated Plumbing Systems). The algorithm minimizes the system installation costs and CO2 emissions related to ship transportation, while maximizing the local job creation. Fuzzy logic models and NSGA-II algorithm are used to evaluate configurations and identify non-dominated solutions, respectively. For a case study with 40 components, the algorithm found solutions which reduce installation costs by up to 81.9%, generate up to 23.4 h of local jobs, but increase CO2 emissions by up to 36.7%.
Optimizing Prefabrication of Plumbing Systems for Residential Buildings from Remote High North Communities by Considering All Three Facets of Sustainable Development
Environ Sci Eng
Wang, Liangzhu Leon (Herausgeber:in) / Ge, Hua (Herausgeber:in) / Zhai, Zhiqiang John (Herausgeber:in) / Qi, Dahai (Herausgeber:in) / Ouf, Mohamed (Herausgeber:in) / Sun, Chanjuan (Herausgeber:in) / Wang, Dengjia (Herausgeber:in) / Suárez, José Luis (Autor:in) / Gosselin, Louis (Autor:in) / Lehoux, Nadia (Autor:in)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Kapitel: 53 ; 505-514
05.09.2023
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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