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

Lucas Schmeling, Patrik Schönfeldt, Peter Klement, Steffen Wehkamp, Benedikt Hanke and Carsten Agert
Additional contact information
Lucas Schmeling: KEHAG Energiehandel GmbH/Im Technologiepark 4, 26129 Oldenburg, Germany
Patrik Schönfeldt: DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Peter Klement: DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Steffen Wehkamp: OFFIS—Institute for Information Technology/Escherweg 2, 26121 Oldenburg, Germany
Benedikt Hanke: DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Carsten Agert: DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany

Energies, 2020, vol. 13, issue 3, 1-22

Abstract: 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.

Keywords: energy system planning; energy system simulation; optimal sizing; risk analysis; Monte Carlo Simulation; distributed energy systems; local energy markets (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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