A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing

This paper presents a parametric procedure to size hybrid system consisting of renewable generation (wind turbines and photovoltaic panels) Battery Energy Storage Systems (BESS). To cope with the increasing installation grid-scale BESS, an innovative, fast flexible for evaluating efficient this asset has been developed. The tool exploits high-fidelity empirical model assess stand-alone BESS or power plants under different service stacking configurations. economic performance evaluated considering revenue that occurs when participating in up four distinct energy markets degradation performances due both cycle- calendar-aging. nature enables investigation wide range parameters, including novel control logic, market prices, production. presented outcomes detail techno-economic over 20-year scenario, proposing sensitivity analysis technical parameters. case study results highlight necessity steering investment towards coupling RES accurate planning stacking. Indeed, implementation storage district improves internal rate return project by 10% best-case scenario. Moreover, shown boost revenues 44% same degradation.