Unlocking Economic Insights into Nuclear-Renewable Integrated Energy Systems with HYBRID Introduction In the evolving landscape of energy production, the HYBRID simulation framework emerges as a pivotal tool for the economic assessment of Nuclear-Renewable Integrated Energy Systems (N-R IES). It uniquely combines stochastic analysis, probabilistic optimization, and high-fidelity physical modeling to provide unparalleled insights into the economic performance of these complex systems. Background The integration of variable renewable energy sources into the electric grid introduces significant challenges for traditional energy dispatch and capacity planning. The limitations of existing software, relying on deterministic linear programming, fall short in capturing the intricate dynamics and u
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