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Learn to integrate energy policy considerations into optimization models through this comprehensive lecture delivered by Professor Kristen Schell from Carleton University, Canada. Explore the intersection of energy policy and mathematical optimization, examining how regulatory frameworks, environmental constraints, and economic incentives can be incorporated into optimization models for energy systems. Discover methodologies for modeling complex energy policy scenarios, including renewable energy mandates, carbon pricing mechanisms, and grid modernization requirements. Gain insights into the challenges and opportunities of translating policy objectives into mathematical constraints and objective functions. Understand how optimization models can be used to evaluate policy effectiveness, assess trade-offs between different energy strategies, and support evidence-based decision-making in energy planning. This 1 hour and 43-minute presentation is part of the LORER Summer School program hosted by GERAD Research Center, providing advanced training in operations research and energy systems optimization.
