Abstract
A new multi-criterial methodology is introduced for the combined structural and operational optimization of energy supply systems and production processes. The methodology combines a multi-criterial evolutionary optimizer for structural optimization with a code for the operational optimization and simulation. The genotype of the individuals is interpreted with a superstructure. The methodology is applied to three real world case studies: one communal and one industrial energy supply system, one distillation plant. The resulting Pareto fronts and potentials for cost reduction and ecological savings are discussed.
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Acknowledgements
Authors thankfully acknowledge the financial support of the DFG, the German Research Foundation, in the context of the project “Mehrkriterielle Struktur- und Parameteroptimierung verfahrenstechnischer Prozesse mit evolutionären Algorithmen am Beispiel gewinnorientierter unscharfer destillativer Trennprozesse”.
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Bouvy, C., Kausch, C., Preuss, M., Henrich, F. (2010). On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems. In: Ehrgott, M., Naujoks, B., Stewart, T., Wallenius, J. (eds) Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems. Lecture Notes in Economics and Mathematical Systems, vol 634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04045-0_1
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DOI: https://doi.org/10.1007/978-3-642-04045-0_1
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