Multi-objective optimization and simulation model for the design of distributed energy systems

Tobias Falke, Stefan Krengel, Ann-Kathrin Meinerzhagen and Armin Schnettler

Applied Energy, 2016, vol. 184, issue C, 1508-1516

Abstract: In this paper, a multi-objective optimization model for the investment planning and operation management of distributed heat and electricity supply systems is presented. Different energy efficiency measures and supply options are taken into account, including various distributed heat and power generation units, storage systems and energy-saving renovation measures. Furthermore, district heating networks are considered as an alternative to conventional, individual heat supply for each building. The optimization problem is decomposed into three subproblems to reduce the computational complexity. This enables a high level of detail in the optimization and simultaneously the comprehensive investigation of districts with more than 100 buildings. These capabilities distinguish the model from previous approaches in this field of research.

Keywords: Multi-objective optimization model; Distributed energy system; Evolutionary algorithm; Generation planning; Combined heat and power; District heating network (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (75)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:184:y:2016:i:c:p:1508-1516

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DOI: 10.1016/j.apenergy.2016.03.044

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