Techno-Economic Analysis and Optimization of a Compressed-Air Energy Storage System Integrated with a Natural Gas Combined-Cycle Plant

To address the rising electricity demand and greenhouse gas concentration in environment, considerable effort is being carried out across globe on installing operating renewable energy sources. However, production affected by diurnal seasonal variability. ensure that electric grid remains reliable resilient even for high penetration of renewables into grid, various types storage systems are investigated. In this paper, a compressed-air (CAES) system integrated with natural combined-cycle (NGCC) power plant investigated where air extracted from turbine compressor or injected back combustor when it optimal to do so. First-principles dynamic models NGCC CAES developed along development an economic model. The optimization undertaken Python/Pyomo platform maximizing net present value (NPV). NPV 14 regions/cases considering year-long locational marginal price (LMP) data 1 h interval. Design variables such as capacity pressure, well load, injection rate, extraction optimized. Results show has higher than NGCC-only all regions, thus indicating potential deployment under assumption availability caverns close proximity plant. levelized cost found be range 136–145 $/MWh. Roundtrip efficiency between 74.6–82.5%. A sensitivity study respect LMP shows profile significant impact extent injection/extraction while capital expenditure reduction negligible effect.