Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems

Consumption of energy in buildings accounts for a considerable proportion of worldwide energy use. There is a dire need for enhancing the energy efficiency of building to limit their demand for operating energy as this leads to enhanced reductions in environmental impacts. Of particular relevance to...

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Autores principales:	Ahmed W.A. Hammad, Karoline Figueiredo, Ana Carolina Rosa, Elaine Vazquez, Assed Haddad
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Energy efficiency Heat gain Daylight Building materials Multi-objective optimisation MINLP Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4a21ef8f811641919bbba1923be427d7
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spelling	oai:doaj.org-article:4a21ef8f811641919bbba1923be427d72021-11-28T04:33:44ZEnhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems2352-484710.1016/j.egyr.2021.04.063https://doaj.org/article/4a21ef8f811641919bbba1923be427d72021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721003747https://doaj.org/toc/2352-4847Consumption of energy in buildings accounts for a considerable proportion of worldwide energy use. There is a dire need for enhancing the energy efficiency of building to limit their demand for operating energy as this leads to enhanced reductions in environmental impacts. Of particular relevance to the amount of energy utilised in a building during the operation phase is the nature of material and size of components utilised in the building. In this work, a mathematical programming framework is presented to optimise a number of building design objective functions, including heat gain, daylight and economic cost of material utilised. The variables that are focussed on in this study are the sizes of windows, type of material adopted for the building, embodied in the construction building systems used for various building components, and the type of lighting adopted. To validate the framework, two realistic case studies obtained from an industry partner are adopted and solved via the use of the proposed mathematical programming method. Results indicate that compared to the solutions proposed by an experienced engineer, the daylight, heating and cost of the building is enhanced by up to 39%, 43% and 23% respectively. The framework is hoped to help policy makers introduce more streamlined guidance for the building sector when it comes to optimised material choice and window sizing to result in energy-efficient and economical buildings.Ahmed W.A. HammadKaroline FigueiredoAna Carolina RosaElaine VazquezAssed HaddadElsevierarticleEnergy efficiencyHeat gainDaylightBuilding materialsMulti-objective optimisationMINLPElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8162-8175 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy efficiency Heat gain Daylight Building materials Multi-objective optimisation MINLP Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Energy efficiency Heat gain Daylight Building materials Multi-objective optimisation MINLP Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ahmed W.A. Hammad Karoline Figueiredo Ana Carolina Rosa Elaine Vazquez Assed Haddad Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
description	Consumption of energy in buildings accounts for a considerable proportion of worldwide energy use. There is a dire need for enhancing the energy efficiency of building to limit their demand for operating energy as this leads to enhanced reductions in environmental impacts. Of particular relevance to the amount of energy utilised in a building during the operation phase is the nature of material and size of components utilised in the building. In this work, a mathematical programming framework is presented to optimise a number of building design objective functions, including heat gain, daylight and economic cost of material utilised. The variables that are focussed on in this study are the sizes of windows, type of material adopted for the building, embodied in the construction building systems used for various building components, and the type of lighting adopted. To validate the framework, two realistic case studies obtained from an industry partner are adopted and solved via the use of the proposed mathematical programming method. Results indicate that compared to the solutions proposed by an experienced engineer, the daylight, heating and cost of the building is enhanced by up to 39%, 43% and 23% respectively. The framework is hoped to help policy makers introduce more streamlined guidance for the building sector when it comes to optimised material choice and window sizing to result in energy-efficient and economical buildings.
format	article
author	Ahmed W.A. Hammad Karoline Figueiredo Ana Carolina Rosa Elaine Vazquez Assed Haddad
author_facet	Ahmed W.A. Hammad Karoline Figueiredo Ana Carolina Rosa Elaine Vazquez Assed Haddad
author_sort	Ahmed W.A. Hammad
title	Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
title_short	Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
title_full	Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
title_fullStr	Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
title_full_unstemmed	Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
title_sort	enhancing the passive design of buildings: a mixed integer non-linear programming approach for the selection of building materials and construction building systems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4a21ef8f811641919bbba1923be427d7
work_keys_str_mv	AT ahmedwahammad enhancingthepassivedesignofbuildingsamixedintegernonlinearprogrammingapproachfortheselectionofbuildingmaterialsandconstructionbuildingsystems AT karolinefigueiredo enhancingthepassivedesignofbuildingsamixedintegernonlinearprogrammingapproachfortheselectionofbuildingmaterialsandconstructionbuildingsystems AT anacarolinarosa enhancingthepassivedesignofbuildingsamixedintegernonlinearprogrammingapproachfortheselectionofbuildingmaterialsandconstructionbuildingsystems AT elainevazquez enhancingthepassivedesignofbuildingsamixedintegernonlinearprogrammingapproachfortheselectionofbuildingmaterialsandconstructionbuildingsystems AT assedhaddad enhancingthepassivedesignofbuildingsamixedintegernonlinearprogrammingapproachfortheselectionofbuildingmaterialsandconstructionbuildingsystems
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Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems

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