Research on Decision Model of Building Energy Efficiency

Abstract

Following the overall building energy-saving situation in China and reflecting the rationality and flexibility, the paper aims to investigate the decision methods of existing building energy efficiency retrofitting (EBEER) projects under uncertainty to facilitate comprehensive and objective assessment in such projects. In this paper, the internal and external uncertainties affecting energy efficiency are identified and their random fluctuation characteristics are qualified and introduced into the analysis of decisions. By taking into account life-cycle costs, energy savings, carbon emission and thermal comfort, a project revenue optimization model under uncertainty is established to explore the dynamic quantitative relationship between energy-saving technology solutions and the costs and benefits over a long horizon for EBEER projects. By means of optimizing analysis, the multi-stage optimal scales and energy-saving technology solutions for EBEER projects are achieved. This paper will provide a new perspective for solving EBEER projects' and financing fatigue to contribute to the returns and the smooth implementation of EBEER projects in China.