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Open AccessArticle

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

1
KEHAG Energiehandel GmbH/Im Technologiepark 4, 26129 Oldenburg, Germany
2
DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
3
OFFIS—Institute for Information Technology/Escherweg 2, 26121 Oldenburg, Germany
*
Author to whom correspondence should be addressed.
Energies 2020, 13(3), 552; https://doi.org/10.3390/en13030552
Received: 23 December 2019 / Revised: 17 January 2020 / Accepted: 20 January 2020 / Published: 23 January 2020
The planning and decision-making for a distributed energy supply concept in complex actor structures like in districts calls for the approach to be highly structured. Here, a strategy with strong use of energetic simulations is developed, the core elements are presented, and research gaps are identified. The exemplary implementation is shown using the case study of a new district on the former Oldenburg airbase in northwestern Germany. The process is divided into four consecutive phases, which are carried out with different stakeholder participation and use of different simulation tools. Based on a common objective, a superstructure of the applicable technologies is developed. Detailed planning is then carried out with the help of a multi-objective optimal sizing algorithm and Monte Carlo based risk assessment. The process ends with the operating phase, which is to guarantee a further optimal and dynamic mode of operation. The main objective of this publication is to present the core elements of the planning processes and decision-making framework based on the case study and to find and identify research gaps that will have to be addressed in the future. View Full-Text
Keywords: energy system planning; energy system simulation; optimal sizing; risk analysis; Monte Carlo Simulation; distributed energy systems; local energy markets energy system planning; energy system simulation; optimal sizing; risk analysis; Monte Carlo Simulation; distributed energy systems; local energy markets
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Schmeling, L.; Schönfeldt, P.; Klement, P.; Wehkamp, S.; Hanke, B.; Agert, C. Development of a Decision-Making Framework for Distributed Energy Systems in a German District. Energies 2020, 13, 552.

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