安装
设定值
高效能源利用
工程类
建筑工程
改装
工作流程
占用率
计算机科学
环境经济学
结构工程
数据库
机械工程
电气工程
人工智能
经济
作者
Yujie Lu,Peixian Li,Yih Perng Lee,Xiangnan Song
标识
DOI:10.1016/j.jobe.2021.103200
摘要
Future city renewal and rejuvenation require a tremendous amount of existing building retrofits to improve energy efficiency for sustainable city development. Although energy retrofit has received much attention, there lacks a comprehensive workflow for institutional buildings in a tropical climate. This paper proposes an easy-to-follow framework for optimal decision-making of energy retrofit with a detailed case study on a multi-purpose building on the National University of Singapore campus. The framework integrates energy simulation, a hybrid approach to quantify retrofit benefits, cost contextualization procedure, standardized cost-benefit analysis plots and indicators, and a final decision matrix. Among the analyzed retrofit options, occupants-oriented retrofit options such as installing occupancy sensor for automatic lighting control, setting higher temperature setpoint, and lowering plug load, topped the selection with scores 8.63, 7.18, and 7.09 respectively, significantly outperforming the technological retrofit like replacing water-cooled chiller (score 3.19) and installing a green roof (score 1.42). Furthermore, taking multiple occupants-oriented retrofits together involves less cost per energy saving than taking each of them individually. This indicates that combined measures could augment the cost-effectiveness of building energy retrofit. This work offers a hands-on framework for decision-making on energy retrofits and implications for developing more comprehensive guidelines for city renewal.
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