Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-objective optimization of thermal modelled cubicles considering the total cost and life cycle environmental impact
https://orcid.org/0000-0002-5532-6409
Highlights We present a methodology to determine the optimal building insulation thickness. Multi-objective optimization reduces at once economic and environmental impact. Optimization reduces the cost and impact of the base case (no insulation) by 40%. Environmental impact of materials and not only energy impact has to be considered. In the future an uncertainty analysis and more complex models will be studied.
Abstract Energy efficiency strategies, such as building insulation, improve the building performance without compromising comfort. This study presents a methodology for determining the optimal insulation thickness for external building surfaces. Our approach is based on a multi-objective optimization model that minimizes simultaneously the cost and environmental impact associated with both the energy consumption over the operational phase and the generation of the construction materials (including the waste produced during the disposal phase). The thermal loads of the cubicles were calculated with EnergyPlus, a widely used simulation program for buildings. The environmental impact was quantified following the life cycle assessment (LCA) methodology. Our approach was applied to a case study of a house-like cubicle located in Lleida (northeast Spain). Taking as a basis a standard cubicle without insulation, our approach identifies solutions that reduce around 40% both, the cost and environmental impact. Optimal solutions show also important economic and environmental improvements compared to cubicles constructed with the Spanish legislation requirements. Our method is intended to assist decision-makers in the design of buildings.
Multi-objective optimization of thermal modelled cubicles considering the total cost and life cycle environmental impact
https://orcid.org/0000-0002-5532-6409
Highlights We present a methodology to determine the optimal building insulation thickness. Multi-objective optimization reduces at once economic and environmental impact. Optimization reduces the cost and impact of the base case (no insulation) by 40%. Environmental impact of materials and not only energy impact has to be considered. In the future an uncertainty analysis and more complex models will be studied.
Abstract Energy efficiency strategies, such as building insulation, improve the building performance without compromising comfort. This study presents a methodology for determining the optimal insulation thickness for external building surfaces. Our approach is based on a multi-objective optimization model that minimizes simultaneously the cost and environmental impact associated with both the energy consumption over the operational phase and the generation of the construction materials (including the waste produced during the disposal phase). The thermal loads of the cubicles were calculated with EnergyPlus, a widely used simulation program for buildings. The environmental impact was quantified following the life cycle assessment (LCA) methodology. Our approach was applied to a case study of a house-like cubicle located in Lleida (northeast Spain). Taking as a basis a standard cubicle without insulation, our approach identifies solutions that reduce around 40% both, the cost and environmental impact. Optimal solutions show also important economic and environmental improvements compared to cubicles constructed with the Spanish legislation requirements. Our method is intended to assist decision-makers in the design of buildings.
Multi-objective optimization of thermal modelled cubicles considering the total cost and life cycle environmental impact
https://orcid.org/0000-0002-5532-6409
Highlights We present a methodology to determine the optimal building insulation thickness. Multi-objective optimization reduces at once economic and environmental impact. Optimization reduces the cost and impact of the base case (no insulation) by 40%. Environmental impact of materials and not only energy impact has to be considered. In the future an uncertainty analysis and more complex models will be studied.
Abstract Energy efficiency strategies, such as building insulation, improve the building performance without compromising comfort. This study presents a methodology for determining the optimal insulation thickness for external building surfaces. Our approach is based on a multi-objective optimization model that minimizes simultaneously the cost and environmental impact associated with both the energy consumption over the operational phase and the generation of the construction materials (including the waste produced during the disposal phase). The thermal loads of the cubicles were calculated with EnergyPlus, a widely used simulation program for buildings. The environmental impact was quantified following the life cycle assessment (LCA) methodology. Our approach was applied to a case study of a house-like cubicle located in Lleida (northeast Spain). Taking as a basis a standard cubicle without insulation, our approach identifies solutions that reduce around 40% both, the cost and environmental impact. Optimal solutions show also important economic and environmental improvements compared to cubicles constructed with the Spanish legislation requirements. Our method is intended to assist decision-makers in the design of buildings.
Multi-objective optimization of thermal modelled cubicles considering the total cost and life cycle environmental impact
Carreras, Joan (Autor:in) / Boer, Dieter (Autor:in) / Guillén-Gosálbez, Gonzalo (Autor:in) / Cabeza, Luisa F. (Autor:in) / Medrano, Marc (Autor:in) / Jiménez, Laureano (Autor:in)
Energy and Buildings ; 88 ; 335-346
06.12.2014
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
IEO , International Energy Outlook , MOO , multi-objective optimization , LCA , life cycle assessment , PU , polyurethane , MW , mineral wool , EPS , polystyrene , NSGA-II , non-dominated sorting genetic algorithm-II , EA , evolutionary algorithms , EI99 , Eco-indicator 99 , IO , input-output , GLO , average global impact , ACH , air changes per hour , Multi-objective optimization , Life cycle assessment (LCA) , Modelling , Buildings , Insulation
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