In the present work we applied the universal methodology of Belhomme et. al [3] for optimizing the aim point assignment of a solar power tower with a cylindrical molten salt receiver. The methodology uses a combinatorial formulation of the problem and solves it with the ant colony optimization metaheuristic (ACO). Additionally, the local search algorithm (LS) has been implemented for optimizing the aim point assignment. A realistic simulation scenario, including a numerical receiver model of a receiver with molten salt as heat transfer fluid, is used to analyze both optimization strategies and to compare their performances regarding the thermal output of the receiver.
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