Operation Optimization of Sustainable Buildings

Following the restructuring of the electricity industry, various innovative concepts have emerged, such as intelligent parking lots, renewable energy sources, and sustainable buildings. This chapter presents a novel model that incorporates a thermal model, a fuel cell co-generation system, and a battery to minimize the operation costs of a sustainable building. The primary objective is to prioritize device performance and optimize other sustainable building equipment operations in order to minimize the day-ahead operation cost of sustainable building. The proposed model leverages a mixed-integer nonlinear programming (MINLP) approach, optimized using the General Algebraic Modeling System (GAMS) platform. Two various scenarios have been utilized to show the effectiveness of the proposed method. It’s worth noting that the proposed sustainable building model is based in Australia, and all input data relates to the summer season.