2.3 Levelized Cost and Ancillary Service Valuation Metrics
Methodological evaluation of pumped storage hydropower within congested regional electricity systems requires capturing both operational dispatch flexibility and capital expenditure dynamics under evolving market signals. To quantify short-term market performance, this analytical framework employs a Mixed-Integer Linear Programming formulation that optimizes hourly dispatch schedules based on day-ahead wholesale electricity price series, explicitly incorporating physical constraints including turbine and pump capacities, storage volume limits, round-trip efficiency, and startup frequencies (crossref-10-3390-su18136805). Such mathematical modeling accurately reflects the operational capacity of storage units to monetize price spreads and respond dynamically to negative pricing phenomena, which frequently intensify during seasonal periods of high solar generation. Complementing this dispatch optimization, the techno-economic framework applies levelized cost of energy storage metrics across diverse project configurations, systematically distinguishing between open-loop and closed-loop assets to evaluate long-term financial viability under shifting regulatory policies, fuel price fluctuations, and market uncertainties (crossref-10-5194-egusphere-egu24-14403). Evaluating targeted cost reduction mechanisms—specifically utilizing existing conventional hydropower infrastructure and integrating direct water inflows into upper storage reservoirs—allows for a standardized comparative assessment of ancillary balancing capabilities across varied hydrological environments (crossref-10-5194-egusphere-egu24-14403). Furthermore, synthesizing technical performance parameters alongside environmental and social siting criteria (crossref-10-3390-en15093139) ensures that the empirical boundary conditions align with realistic engineering and planning practices. By integrating operational optimization with comprehensive life-cycle cost evaluation, this methodological structure provides an empirical foundation for investigating how Alpine storage assets mitigate cross-border grid congestion and influence industrial power tariffs.