Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems pp 3-12 | Cite as
On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems
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.
Keywords
Communal energy supply concepts Distillation plants Evolutionary algorithms Industrial energy supply systems Multi-objective optimizationNotes
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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