Optimization of Renewable Energy Systems
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2024
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Abstract
The transition to carbon-neutral energy sources like solar, wind, biofuels etc., reduces dependence on fossil fuels. Biofuels offer a practical alternative, while solar energy is popular for its low cost and abundance. This thesis explores optimization methodologies for developing renewable energy systems, focusing on biorefinery supply chains and solar energy systems, ensuring technical and economic feasibility. The biofuel supply chain requires complex, multi-stage optimization, particularly in biorefinery capacity planning, where design constraints limit economic processing options leading to suboptimal results. MILP models can optimize supply chain decisions; however, they are computationally intensive. Metaheuristic methods provide near-optimal solutions but face challenges with feasibility due to complex mass balance constraints.
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Supervisor: Kotecha, Prakash