A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings

Bo Wang, Xiaohua Xia, Jiangfeng Zhang

Research output: Contribution to journalArticlepeer-review

101 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)227-235
Number of pages9
JournalEnergy and Buildings
Volume77
Early online date24 Mar 2014
DOIs
Publication statusPublished - Jul 2014

Keywords

  • building retrofitting
  • multi-objective optimization
  • life-cycle cost
  • multiple retrofitting measures

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