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Chile has the potential to run exclusively on renewable generation, with an estimated energy mix of 46% solar, 31% wind, 12% hydroelectric, and 8% flexible natural gas power plants, as well as 23% of battery storage capacity. The remaining 2% is split between biomass, geothermal, and other less common energy sources.
Currently, 36 of the 129 large-scale projects Latin America projects with an energy storage component under development are in Chile, including 32 out of 71 of the region’s early works projects. The storage technologies either in use or being considered include:
According to data from Acera, the Chilean Renewable Energy Association, there are only 64MW of battery storage capacity currently active, representing 0.2% of national capacity. AES Andes, a subsidiary of U.S. company AES Corp. operates all 64MW at their Angamos and Los Andes substations.
Chile’s goal to achieve 80% renewable grid by 2030 and a 100% zero emissions grid by 2050, will require an estimated 2,000 MW of energy storage every 10 years.
Compressed air energy storage (CAES) is one of the many energy storage options that can store electric energy in the form of potential energy (compressed air) and can be deployed near central power plants or distribution centers. In response to demand, the stored energy can be discharged by expanding the stored air with a turboexpander generator.
In times of excess electricity on the grid (for instance due to the high power delivery at times when demand is low), a compressed air energy storage plant can compress air and store the compressed air in a cavern underground. At times when demand is high, the stored air can be released and the energy can be recuperated.
For example, the state of Kansas has facilitated these processes with their Compressed Air Energy Storage Act , effective since 2009. A study that reports on promising locations, permitting processes and challenges, and mitigating solutions would help developers navigate these issues during the planning phase.
A study numerically simulated an adiabatic compressed air energy storage system using packed bed thermal energy storage. The efficiency of the simulated system under continuous operation was calculated to be between 70.5% and 71%.
The optimal configuration of energy storage capacity is an important issue for large scale solar systems. a strategy for optimal allocation of energy storage is proposed in this paper. First various scenarios and their value of energy storage in PV applications are discussed. Then a double-layer decision architecture is proposed in this article.
To this end, this paper proposes a robust optimization method for large-scale wind–solar storage systems considering hybrid storage multi-energy synergy. Firstly, the robust operation model of large-scale wind–solar storage systems considering hybrid energy storage is built.
The case study includes the optimal system economic operation strategy, the comparison of the conventional deterministic optimization model and the two-stage robust optimization model, and the performance analysis of different energy storage configuration schemes. 5.1. Case Parameter Settings
Shen et al. developed the multi-timescale rolling optimization of the hybrid energy storage system considering multiple uncertainties, and they incorporated the scheduling model into the model predictive control framework to efficiently deal with price, renewable energy, and load uncertainties.
