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DOI | 10.1016/j.energy.2019.01.164 |
Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit | |
Shen, Pengyuan; Braham, William; Yi, Yunkyu; Eaton, Eric | |
发表日期 | 2019-04-01 |
ISSN | 0360-5442 |
EISSN | 1873-6785 |
卷号 | 172页码:892-912 |
英文摘要 | A method of fast multi-objective optimization and decision-making support for building retrofit planning is developed, and lifecycle cost analysis method taking into account of future climate condition is used in evaluating the retrofit performance. In or |
关键词 | Building retrofitOptimizationHeuristic methodPareto frontsHierarchical clusteringClimate change |
学科领域 | Thermodynamics;Energy & Fuels |
语种 | 英语 |
WOS记录号 | WOS:000464488100073 |
来源期刊 | ENERGY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/83663 |
作者单位 | Harbin Inst Technol, Sch Architecture, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, Pengyuan,Braham, William,Yi, Yunkyu,et al. Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit[J],2019,172:892-912. |
APA | Shen, Pengyuan,Braham, William,Yi, Yunkyu,&Eaton, Eric.(2019).Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit.ENERGY,172,892-912. |
MLA | Shen, Pengyuan,et al."Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit".ENERGY 172(2019):892-912. |
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