Abstract
In this paper, a near- optimal operation strategy, weight priority method, is presented for ice storage air-conditioning systems. How to determine proper proportion between ice storage tanks and chillers to meet buildings load demand is a key factor for the optimal control of ice storage systems. By the priority weight method, the optimization control problem is converted into a sorting problem. Compared weight priority strategy with usual chiller priority strategy for a typical office building with ice storage air-conditioning systems, the result shows that the running cost for design day is near, but when the system runs at 80% and 60% of cooling load of design day, the energy charges by the weight priority control strategy will save 34% and 43% respectively. The novel strategy is suitable for optimal control of ice storage air conditioning system, and can be easily implemented in practice.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.