Proposing a Conceptual Decision Support System for Building Energy Retrofits Considering Sustainable Triple Bottom Line Criteria

被引:0
作者
Jafari, Amirhosein [1 ]
Valentin, Vanessa [1 ]
机构
[1] Univ New Mexico, Dept Civil Engn, MSC01 1070, Albuquerque, NM 87131 USA
来源
CONSTRUCTION RESEARCH CONGRESS 2018: SUSTAINABLE DESIGN AND CONSTRUCTION AND EDUCATION | 2018年
关键词
MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM; MODEL; METHODOLOGY; SIMULATION; TIME;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Beyond the traditional economic dimension, improving energy efficiency through building energy retrofits could be also evaluated through the consideration of environmental and social dimensions. Integrating these three dimensions of sustainability-which is often called the triple bottom line (TBL) approach-for decision-making in energy retrofits could help evaluating the retrofitting project performance with a broader perspective. This study introduces the sustainable energy retrofit (SER) decision support system to select an optimum energy retrofitting strategy for a specific building, while maximizing the project's TBL benefits. Economic, environmental and social indicators are defined and used in a multi-objective optimization model. The proposed SER decision support approach can be adapted and used in any energy retrofit project that wish to consider and optimize TBL criteria.
引用
收藏
页码:553 / 563
页数:11
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