Multi-objective optimization and evaluation of hybrid CCHP systems for different building types

Abstract

Abstract The hybridization between renewable energy and fossil energy in energy supply system is a feasible solution to reduce the fossil energy consumption and CO2 emission. The hybrid CCHP systems that can include gas turbine (GT), absorption unit (ABS), ground source heat pump (GSHP), photovoltaic panels (PV), solar thermal collectors (ST), photovoltaic thermal solar collectors (PVT), battery, water storage tank (WST), are proposed in this study. Two different systems to use solar energy are evaluated: in system A, solar energy is converted into thermal and electric energy by ST and PV, respectively; while in system B, solar energy is converted into thermal and electric energy by PVT. The NSGA-II algorithm is employed to search the Pareto frontier solutions of the multi-objective optimization model that considers economy, energy and environment performances. The TOPSIS method is used as decision making tool for ideal configuration selection. The hybrid CCHP systems for three buildings (hotel, office, market) are optimized and compared under different operation strategies. The results reveal that the system A operating in following electric load (FEL) strategy achieves more benefits for three buildings. Besides, the system configuration and component size are closely related to the building type.