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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Published in:Energy reports Vol. 7; pp. 8162 - 8175
Main Authors: Hammad, Ahmed W.A., Figueiredo, Karoline, Rosa, Ana Carolina, Vazquez, Elaine, Haddad, Assed
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.11.2021
Elsevier
Subjects:
Building materials
Daylight
Energy efficiency
Heat gain
MINLP
Multi-objective optimisation
Heat gain
MINLP
Energy efficiency
Daylight
Building materials
Multi-objective optimisation
ISSN:2352-4847, 2352-4847
Online Access:Get full text
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Abstract 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. [Display omitted] •A framework is presented to optimise some building design objective functions.•Two realistic case studies are adopted and solved using the proposed framework.•The mathematical programming includes heat gain, daylight, and material cost.•The variables are focused on window sizes, type of building materials and lighting.•The framework is hoped to introduce more streamlined guidance for the building sector.
AbstractList 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.
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. [Display omitted] •A framework is presented to optimise some building design objective functions.•Two realistic case studies are adopted and solved using the proposed framework.•The mathematical programming includes heat gain, daylight, and material cost.•The variables are focused on window sizes, type of building materials and lighting.•The framework is hoped to introduce more streamlined guidance for the building sector.
Author Figueiredo, Karoline
Rosa, Ana Carolina
Haddad, Assed
Hammad, Ahmed W.A.
Vazquez, Elaine
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Keywords Heat gain
MINLP
Energy efficiency
Daylight
Building materials
Multi-objective optimisation
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Snippet 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...
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SubjectTerms Building materials
Daylight
Energy efficiency
Heat gain
MINLP
Multi-objective optimisation
Title Enhancing the passive design of buildings: A mixed integer non-linear programming approach for the selection of building materials and construction building systems
URI https://dx.doi.org/10.1016/j.egyr.2021.04.063
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