The weather-dependent uncertainty of wind and solar power generation presents a challenge to the balancing of power generation and demand in highly renewable electricity systems. Battery energy storage can provide flexibility to firm up the variability of the renewable and to respond to the increased load demand under decarbonization scenarios. This paper explores how the battery energy storage capacity requirement for the compressed air energy storage (CAES) will grow as the load demand increases. Here we used an idealized least-cost optimization model, to study the response of highly renewable electricity systems to the increasing load demand of California under deep decarbonization.
Results show that providing bulk CAES to the zero-emission power system offers substantial benefits, but it cannot fully compensate the 100% variability of highly renewable power systems. The capacity requirement of CAES increases up to 33.3% with 1.5 times increase in load demand and up to 50% with 2 times increase in load demand. In this analysis, a zero-emission electricity system operating at current costs becomes more cost-effective when there is firm power generation. The least competitive nuclear option plays this role and reduces system costs by 16.4%, curtails annual main node by 36.8%, and decreases CAES capacity requirements by up to 80.7% in the case of double load demand.
While CAES has the potential in addressing renewable variability, its widespread deployment is constrained by geographical, societal, and economic factors. Therefore, if California aims for an energy system reliant on wind and solar power, an additional dispatchable power source other than CAES or similar load flexibility is necessary. To fully harness the benefits of bulk compressed air energy storage, the development and implementation of cost-effective approaches are crucial in significantly reducing system costs.