Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach
In recent years, research has focused on designing buildings with higher energy efficiency and lower emissions by considering multiple objectives. This can impact financial savings, smaller environmental footprints, and energy consumption optimization. The purpose of the current study is to develop...
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MDPI AG
2023-07-01
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Series: | Buildings |
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Online Access: | https://www.mdpi.com/2075-5309/13/7/1815 |
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author | Hossein Ghafourian Seyed Sepehr Ershadi Daria K. Voronkova Sayeh Omidvari Leila Badrizadeh Moncef L. Nehdi |
author_facet | Hossein Ghafourian Seyed Sepehr Ershadi Daria K. Voronkova Sayeh Omidvari Leila Badrizadeh Moncef L. Nehdi |
author_sort | Hossein Ghafourian |
collection | DOAJ |
description | In recent years, research has focused on designing buildings with higher energy efficiency and lower emissions by considering multiple objectives. This can impact financial savings, smaller environmental footprints, and energy consumption optimization. The purpose of the current study is to develop a new technique to solve this challenging multiple-objective optimization problem. While there are different methods to solve optimization problems, based on the NLP theory, there is not any metaheuristic algorithm that can solve all the problems accurately. Sometimes, the outcome of a basic algorithm is a local optimum. Therefore, to reach the global optimum, we propose the Improved Billiard-based Optimization Algorithm (IBOA). Moreover, in some cases, the basic model suffers from premature convergence, which prevents reaching an accurate result. Hence, this study aims to solve this problem and attain better convergence results using the proposed method to minimize CO<sub>2</sub>-eq emissions and life cycle costs. The design variables include some parameters of the envelope of a single-family residential dwelling to indicate the efficiency of the presented method. Based on the Pareto optimum solutions achieved, it is proved that the method is effective. |
first_indexed | 2024-03-11T01:13:33Z |
format | Article |
id | doaj.art-59174df5e870462e8edf251e3328bc0a |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-11T01:13:33Z |
publishDate | 2023-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Buildings |
spelling | doaj.art-59174df5e870462e8edf251e3328bc0a2023-11-18T18:39:22ZengMDPI AGBuildings2075-53092023-07-01137181510.3390/buildings13071815Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm ApproachHossein Ghafourian0Seyed Sepehr Ershadi1Daria K. Voronkova2Sayeh Omidvari3Leila Badrizadeh4Moncef L. Nehdi5Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01375, USADepartment of Architecture, Mahallat Branch, Azad University, Tehran 1584743311, IranDepartment of Mathematics and Natural Sciences, Gulf University for Science and Technology, Mishref Campus, Mishref 32093, KuwaitDepartment of Architecture, Yazd University, Yazd P.O. Box 8915818411, IranMinistry of Science, Research and Technology, Najafabad Institute of Higher Education, Esfahan, IranDepartment of Civil Engineering, McMaster University, Hamilton, ON L8S 4L7, CanadaIn recent years, research has focused on designing buildings with higher energy efficiency and lower emissions by considering multiple objectives. This can impact financial savings, smaller environmental footprints, and energy consumption optimization. The purpose of the current study is to develop a new technique to solve this challenging multiple-objective optimization problem. While there are different methods to solve optimization problems, based on the NLP theory, there is not any metaheuristic algorithm that can solve all the problems accurately. Sometimes, the outcome of a basic algorithm is a local optimum. Therefore, to reach the global optimum, we propose the Improved Billiard-based Optimization Algorithm (IBOA). Moreover, in some cases, the basic model suffers from premature convergence, which prevents reaching an accurate result. Hence, this study aims to solve this problem and attain better convergence results using the proposed method to minimize CO<sub>2</sub>-eq emissions and life cycle costs. The design variables include some parameters of the envelope of a single-family residential dwelling to indicate the efficiency of the presented method. Based on the Pareto optimum solutions achieved, it is proved that the method is effective.https://www.mdpi.com/2075-5309/13/7/1815multi-criteria optimizationcarbon dioxide emissionslife-cycle costenergy efficiencyimproved metaheuristic algorithm |
spellingShingle | Hossein Ghafourian Seyed Sepehr Ershadi Daria K. Voronkova Sayeh Omidvari Leila Badrizadeh Moncef L. Nehdi Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach Buildings multi-criteria optimization carbon dioxide emissions life-cycle cost energy efficiency improved metaheuristic algorithm |
title | Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach |
title_full | Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach |
title_fullStr | Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach |
title_full_unstemmed | Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach |
title_short | Minimizing Single-Family Homes’ Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach |
title_sort | minimizing single family homes carbon dioxide emissions and life cycle costs an improved billiard based optimization algorithm approach |
topic | multi-criteria optimization carbon dioxide emissions life-cycle cost energy efficiency improved metaheuristic algorithm |
url | https://www.mdpi.com/2075-5309/13/7/1815 |
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