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A platform for research: civil engineering, architecture and urbanism
A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings
Highlights We propose a multi-objective optimization model for building retrofitting. The model simultaneously maximizes energy saving and minimizes payback period. Multiple alternative technologies are involved for each type of interventions. LCCA is introduced to obtain cost-effective retrofitting plan over the long term. Case study results show the effectiveness of the model.
Abstract The building sector contributes a large proportion of the world's total final energy consumption. As a result, considerable attention has been paid to energy efficiency in the building sector. At the current stage, building retrofitting is the most feasible and cost-effective method to improve building energy efficiency. This paper presents a multi-objective optimization model for life-cycle cost analysis and retrofitting planning of buildings. A net present value (NPV) based economic analysis taking life-cycle cost into account is introduced to formulate the objective functions. In addition, a combination of multiple alternative measures for each retrofitting intervention is considered in determining the optimal solution. The presented model aims at maximizing both energy savings and economic benefits during a selected time frame. It allows decision makers to make best use of the available budget. A differential evolution (DE) algorithm is proposed to solve this optimization problem. The result of the case study illustrates the effectiveness of the multi-objective optimization model to support the planning of energy-efficient and cost-effective building retrofitting projects.
A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings
Highlights We propose a multi-objective optimization model for building retrofitting. The model simultaneously maximizes energy saving and minimizes payback period. Multiple alternative technologies are involved for each type of interventions. LCCA is introduced to obtain cost-effective retrofitting plan over the long term. Case study results show the effectiveness of the model.
Abstract The building sector contributes a large proportion of the world's total final energy consumption. As a result, considerable attention has been paid to energy efficiency in the building sector. At the current stage, building retrofitting is the most feasible and cost-effective method to improve building energy efficiency. This paper presents a multi-objective optimization model for life-cycle cost analysis and retrofitting planning of buildings. A net present value (NPV) based economic analysis taking life-cycle cost into account is introduced to formulate the objective functions. In addition, a combination of multiple alternative measures for each retrofitting intervention is considered in determining the optimal solution. The presented model aims at maximizing both energy savings and economic benefits during a selected time frame. It allows decision makers to make best use of the available budget. A differential evolution (DE) algorithm is proposed to solve this optimization problem. The result of the case study illustrates the effectiveness of the multi-objective optimization model to support the planning of energy-efficient and cost-effective building retrofitting projects.
A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings
Wang, Bo (author) / Xia, Xiaohua (author) / Zhang, Jiangfeng (author)
Energy and Buildings ; 77 ; 227-235
2014-03-11
9 pages
Article (Journal)
Electronic Resource
English
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