Optimization and decision making for building energy efficiency strategies

This research direction is dedicated to providing a life cycle multi-objective optimization method and decision support system for building energy efficiency retrofit. The research pioneered a life cycle evaluation framework for building retrofit considering the impact of climate change, and realized the accurate screening of energy-saving measures by developing a parametric analysis tool and combining it with a feature selection method [1]. On this basis, an automatic optimization method for building energy efficiency retrofit is proposed, which integrates marginal abatement cost analysis, differential evolutionary algorithm, and decision tree-based process backtracking, breaking through the limitations of the traditional methods in parameter optimization and scheme generation, and realizing the acquisition of customized optimization schemes and decision backtracking [2]. Relevant studies also cover passive retrofit of traditional residential buildings [3], optimization of green roofs and natural ventilation for office buildings [4], etc., which provide systematic solutions for future climate-adaptive energy-saving retrofits in different climate zones and building types.