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...
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| Vydáno v: | Energy reports Ročník 7; s. 5612 - 5626 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier
01.11.2021
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| ISSN: | 2352-4847, 2352-4847 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Chen She Ze-Kun Zheng Yi-Peng Xu Bei-Ning Hu Rui Jia Dragan Rodriguez |
| Author_xml | – sequence: 1 fullname: Chen She organization: School of Economics and Management, TianGong University, Tianjin 300387, China – sequence: 2 fullname: Rui Jia organization: Department of Construction Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China – sequence: 3 fullname: Bei-Ning Hu organization: College of Civil Engineering and Architecture, Hainan University, Hainan 570100, China – sequence: 4 fullname: Ze-Kun Zheng organization: Hangzhou HFI Health Network Technology Co., Ltd. Zhejiang, China; Corresponding authors – sequence: 5 fullname: Yi-Peng Xu organization: School of Mathematical Sciences, Tiangong University, Tianjin 300387, China; Corresponding authors – sequence: 6 fullname: Dragan Rodriguez organization: Case Western Reserve University, Cleveland, OH, USA |
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| SubjectTerms | Archimedes optimization algorithm Energy-efficiency measures Life cycle energy Multiple-objective optimization Solar photovoltaic system Zero-energy building |
| Title | Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization |
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