用于吸附与液空储能系统高效实现削峰技术的新型混合化概念

Abstract Innovative ideas in energy system engineering with practical methodologies can pull the trigger for sustainable solutions on novel pathways. This study presents the results of a comprehensive investigation of a novel combined large-scale energy storage technology with a thermal energy reservoir. In the design stage, the sorption thermal energy is employed as the supplementary energy package in an integrated configuration with LAES and a hybrid desalination system. The technical, economic, and other combinations of these approaches are used to investigate the performance of the designed multigeneration system for a range of products, such as electrical power and freshwater, in the case of need. The soft-computing optimization powered by the Grey Wolf algorithm improved the exergetic effectiveness and the system’s levelized cost of the product from 61.12 % and 0.8 US$/kWh to 63.79 % and 0.369 US$/kWh, respectively. The most considerable improvement has been observed in the levelized cost of produced freshwater from 11.32 to 3.99 US$/m 3 . It is outstanding that the Exergy Destruction Rate (EDR) improved from 15.95 MW to 10.12 MW. The promising cost-effectiveness, productivity, and environmentally-benign nature of the proposed system makes it an interesting option for communities with energy storage concerns.