Numerical simulation of a solar-assisted ejector air conditioning system with cold storage

Abstract

Indoor space cooling represents a large potential for solar energy use due to the relative coincidence between energy availability and cooling demand. Solar-assisted air conditioning (AC) applications emerged with the development of high efficiency solar collectors. Energy storage (hot or cold) must be implemented for solar-assisted AC applications when cooling demand is present during intervals without available solar energy and also for cooling capacity optimisation (“peak shaving”). The present paper analyses a solar-assisted ejector cooling system with cold storage. Simulations were carried out over one year considering climatic data for a hot location (Béchar, Algeria) and the performance of the system was assessed for a set of design conditions. Effects of cold storage upon comfort conditions and energy demand were evaluated. Maximum room temperature and overall interval of time during which the room temperature exceeded the set-point value were the parameters used to quantify system performance. It was found that cold storage improved comfort conditions compared to a system without storage. For some design conditions it was found that increasing the cold storage capacity did not result in improved comfort conditions. The control algorithm of the system was identified as the cause of this behaviour. ► Solar-assisted air conditioning is an interesting technology since the peak demand is to some extent synchronous and proportional to the available energy from the Sun. ► Energy storage component is essential in a solar-assisted air conditioning system if the cooling demand is continuous. ► Cold storage system capacity influences both the comfort and the air conditioning system parameters and performance. ► Although simple, cheap and reliable, the ejector cycle lowers the overall efficiency of the solar-assisted air conditioning system.