On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems

被引:1
作者
Bouvy, Claude [1 ]
Kausch, Christoph [2 ]
Preuss, Mike [3 ]
Henrich, Frank [4 ]
机构
[1] Forsch Gesell Kraftfahrwesen MbH Aachen, D-52074 Aachen, Germany
[2] Rhein Westfal TH Aachen Univ, Chair Tech Thermodynam, 52062 Aachen, Germany
[3] Univ Dortmund, Chair Algorithm Engn, D-44227 Dortmund, Germany
[4] Siemens AG, Energy Sect, Duisburg, Germany
来源
MULTIPLE CRITERIA DECISION MAKING FOR SUSTAINABLE ENERGY AND TRANSPORTATION SYSTEMS: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON MULTIPLE CRITERIA DECISION MAKING | 2010年 / 634卷
关键词
Communal energy supply concepts; Distillation plants; Evolutionary algorithms; Industrial energy supply systems; Multi-objective optimization;
D O I
10.1007/978-3-642-04045-0_1
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:3 / 12
页数:10
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