CRA led an innovative generation flexibility study for a major utility in MISO South. CRA developed a stochastic model for real time wind, solar, and load variability to assess generation flexibility need and then performed sub-hourly production cost modeling to assess adequacy of flexible generation to meet energy imbalances resulting from day ahead – real time net load forecast error.
Nuclear can both complement and compete with renewable energy in the race to net zero
Against the backdrop of a global energy landscape that is evolving at an unprecedented rate, and driven by the urgent need to transition to secure and...