Multi-Objective Optimization Research on the Integration of Renewable Energy HVAC Systems Based on TRNSYS

Abstract

Well-designed passive buildings can drastically reduce building energy consumption, and optimal design of air conditioning systems is the key to achieving low operating energy consumption in near-zero energy buildings. TRNSYS was used to build the simulation model for a near-zero-energy building and its air conditioning system in Beijing. The Taguchi method was used to sort the design parameters that affect system performance according to the degree of influence and find the best combination of design parameters to optimize the system, which increased the solar fraction of the system by 4.6% and reduced the annual operating energy consumption by 7.32%. For the optimized system, a multi-objective optimization function of the life cycle costs and carbon emissions was established. By comparing the energy consumption, life cycle costs, and carbon emissions of the air conditioning system under different system configurations, optimal configuration solutions under different design target weights were obtained. It was found that using a ground source heat pump system + solar collector system had better energy-savings benefits, but the operating costs were slightly higher. The application of absorption refrigeration can reduce the system operating costs but will increase the initial investment. The best economic benefits were achieved using the ground source heat pump system + solar collector system for heating in winter and the ground source heat pump system for cooling in summer, and the best environmental benefits were obtaining using the ground source heat pump system + solar collector system for heating in winter and the ground source heat pump system + solar absorption refrigeration system in summer, which provides a reference for the optimization design and research of air conditioning systems in near-zero energy buildings.

Research on the Optimisation of Dual-Heat-Source Heating Systems in Nearly Zero-Energy Buildings

“…Si Q et al took a near-zero-energy building in a cold area of Beijing as an example and used TRNSYS to simulate and optimise the performance of the SAGSHP system configurations. Taking the ratio of the solar energy guarantee rate to the system energy consumption (f/Q) as the optimisation indicator, the researchers optimised the combination of the installation angle of the solar collector, the volume of the constant-temperature water tank, the heat pump unit capacity, the solar heat collection area, and the hot water storage tank parameters [39].…”