چكيده به لاتين
In the current study, a techno-economic optimization of a hybrid thermal energy storage and compressed air energy storage system in a renewable energy-based plant has been conducted to produce inexpensive and continuous electricity, as well as fresh water and hydrogen. The proposed novel compressed air energy storage system, via a bypass, aims to store a portion of the compressed air in the storage tank to use later to produce low-priced electricity during peak demand. The rest of the compressed air is used to generate electricity even during the charging time to run the downward cycles and produce fresh water and hydrogen. Moreover, fresh water is produced by a multi-effect desalination unit, and hydrogen is produced using a proton exchange membrane electrolyzer. The renewable source of this system is solar energy, which is stored in a thermal storage unit. This unit stores thermal energy, either in the form of sensible or latent heat, and the selection of the type of these units is made through a structural optimization algorithm combined with artificial intelligence. This optimization algorithm selects one of these thermal energy storage units for the desired cycle in a specific city based on its climatic and environmental conditions. In this study, four cities in Iran, Bandar Abbas, Mahshahr, Chabahar, and Pasabandar, will be examined. The results show that for the city of Bandar Abbas, in an optimal scenario, the sensible thermal energy storage system has been the best option, and the system’s total cost rate, yearly hydrogen production rate, and the exergy round-trip efficiency are 223.79 ($/h), 116.34 (kg/h), and 47.35%, respectively.
