Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 23 December 2019 / Approved: 24 December 2019 / Online: 24 December 2019 (14:44:57 CET)
Version 2 : Received: 9 January 2020 / Approved: 10 January 2020 / Online: 10 January 2020 (04:32:59 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Journal reference: Energies 2020, 13, 552
DOI: 10.3390/en13030552

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 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.

Subject Areas

energy system planning; energy system simulation; optimal sizing; risk analysis; Monte Carlo simulation; distributed energy systems; local energy markets

Comments (1)

Comment 1
Received: 10 January 2020
Commenter: Lucas Schmeling
Commenter's Conflict of Interests: Author
Comment: The paper was significantly expanded on the advice of the reviewers. The results were presented in more detail, the methods chosen were better discussed and the bibliography was expanded and updated.
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