Near-optimal solution alternatives for the synthesis of distributed energy supply systems
An automated decision support framework is presented for the optimization-based synthesis of distributed energy supply systems(DESS).The framework supports decision makers through the generation and analysis of a set of promising candidate solutions rather than a single optimal solution only.For this purpose,an automated three-step synthesis procedure is proposed that first determines the solution optimizing a single criterion; second,generates near-optimal solution alternatives,and third,computes Pareto-optimal compromise solutions.The solution set is evaluated a posteriori to generate deeper understanding of the synthesis problem.In this paper,a real-world problem from the pharmaceutical industry is considered.For economic optimization,first,the net present value is maximized.Secondly,structurally different,near-optimal solution alternatives are identified employing an integer-cut based solution procedure.Finally,the ε-constraint method is used to generate a Pareto-front representing the trade-offs between investment cost and cumulative energy demand.It is shown that the three-step procedure yields valuable insight into the synthesis problem enabling rational and far-sighted design decisions.
distributed energy supply systems near-optimal solution alternatives multi-objective optimization synthesis
Philip Voll Maike Hennen Carsten Klaffke Matthias Lampe André Bardow
Institute of Technical Thermodynamics,RWTH Aachen University,Aachen,Germany
国际会议
桂林
英文
1-10
2013-07-16（万方平台首次上网日期，不代表论文的发表时间）