Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization
The energy consumption in buildings is increasing, then, a new global multiple-objective optimization method for zero-energy buildings with the comprehensive assessment method is used in this study. The applied optimization design methods for renewable energy systems are the multiple-objective optim...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721008015 |
_version_ | 1818873850036748288 |
---|---|
author | Chen She Rui Jia Bei-Ning Hu Ze-Kun Zheng Yi-Peng Xu Dragan Rodriguez |
author_facet | Chen She Rui Jia Bei-Ning Hu Ze-Kun Zheng Yi-Peng Xu Dragan Rodriguez |
author_sort | Chen She |
collection | DOAJ |
description | The energy consumption in buildings is increasing, then, a new global multiple-objective optimization method for zero-energy buildings with the comprehensive assessment method is used in this study. The applied optimization design methods for renewable energy systems are the multiple-objective optimization by Enhanced Archimedes Optimization Algorithm (EAOA) on the original design for energy costs and energy optimal models. The Hybrid Gray Multiple-Level Comprehensive Assessment Method (HGMLCAM) is utilized to the optimal model including the solar energy use efficacy, energy conservation, economic and social factors. By the selected decision based on the global optimal model, the best solution is presented. For designing the practical building, the defined solution can be useful for the architects and decision-makers. Consequently, a multiple-objective design for a building located in Shanghai, in China, is studied. Based on the results, it can be concluded that the presented method is efficient to make decisions. |
first_indexed | 2024-12-19T13:01:15Z |
format | Article |
id | doaj.art-1bf2748d8bb04be7bef46a4cf1c689c5 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-12-19T13:01:15Z |
publishDate | 2021-11-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-1bf2748d8bb04be7bef46a4cf1c689c52022-12-21T20:20:14ZengElsevierEnergy Reports2352-48472021-11-01756125626Life cycle cost and life cycle energy in zero-energy building by multi-objective optimizationChen She0Rui Jia1Bei-Ning Hu2Ze-Kun Zheng3Yi-Peng Xu4Dragan Rodriguez5School of Economics and Management, TianGong University, Tianjin 300387, ChinaDepartment of Construction Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaCollege of Civil Engineering and Architecture, Hainan University, Hainan 570100, ChinaHangzhou HFI Health Network Technology Co., Ltd. Zhejiang, China; Corresponding authors.School of Mathematical Sciences, Tiangong University, Tianjin 300387, China; Corresponding authors.Case Western Reserve University, Cleveland, OH, USAThe energy consumption in buildings is increasing, then, a new global multiple-objective optimization method for zero-energy buildings with the comprehensive assessment method is used in this study. The applied optimization design methods for renewable energy systems are the multiple-objective optimization by Enhanced Archimedes Optimization Algorithm (EAOA) on the original design for energy costs and energy optimal models. The Hybrid Gray Multiple-Level Comprehensive Assessment Method (HGMLCAM) is utilized to the optimal model including the solar energy use efficacy, energy conservation, economic and social factors. By the selected decision based on the global optimal model, the best solution is presented. For designing the practical building, the defined solution can be useful for the architects and decision-makers. Consequently, a multiple-objective design for a building located in Shanghai, in China, is studied. Based on the results, it can be concluded that the presented method is efficient to make decisions.http://www.sciencedirect.com/science/article/pii/S2352484721008015Multiple-objective optimizationArchimedes optimization algorithmZero-energy buildingSolar photovoltaic systemEnergy-efficiency measuresLife cycle energy |
spellingShingle | Chen She Rui Jia Bei-Ning Hu Ze-Kun Zheng Yi-Peng Xu Dragan Rodriguez Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization Energy Reports Multiple-objective optimization Archimedes optimization algorithm Zero-energy building Solar photovoltaic system Energy-efficiency measures Life cycle energy |
title | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
title_full | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
title_fullStr | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
title_full_unstemmed | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
title_short | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
title_sort | life cycle cost and life cycle energy in zero energy building by multi objective optimization |
topic | Multiple-objective optimization Archimedes optimization algorithm Zero-energy building Solar photovoltaic system Energy-efficiency measures Life cycle energy |
url | http://www.sciencedirect.com/science/article/pii/S2352484721008015 |
work_keys_str_mv | AT chenshe lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization AT ruijia lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization AT beininghu lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization AT zekunzheng lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization AT yipengxu lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization AT draganrodriguez lifecyclecostandlifecycleenergyinzeroenergybuildingbymultiobjectiveoptimization |