Multi-objective synthesis of energy systems: Efficient identification of design trade-offs
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Date
2017-02-02Type
- Journal Article
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Abstract
The synthesis of energy systems usually has to consider several conflicting objectives leading to a large set of Pareto-optimal solutions with multiple trade-offs. From this large set of solutions, good compromise solutions have to be identified which is a complex and computationally demanding task. We therefore propose a method to reduce both the set of objectives and the solution space: First, the set of objectives is reduced by employing a method from the literature to determine the objectives best representing the design trade-offs. However, in practice, aggregated costs are the decisive criterion. Thus, in a second step, the solution space of the synthesis problem is restricted to an acceptable deviation from minimal aggregated costs. Thereby, only relevant solutions are obtained. The two steps significantly reduce the effort for multi-objective optimization focusing on the most relevant part of the solutions. The proposed method is applied to a real-world case study. Show more
Publication status
publishedExternal links
Journal / series
Computers & Chemical EngineeringVolume
Pages / Article No.
Publisher
ElsevierSubject
Energy systems; Synthesis; Multi-objective optimization; Objective function; MILPOrganisational unit
09696 - Bardow, André / Bardow, André
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Show all metadata
Citations
Cited 10 times in
Web of Science
Cited 12 times in
Scopus
ETH Bibliography
no
Altmetrics