Planning, Optimisation and Evaluation of Small Power-to-Gas-to-Power Systems: Case Study of a German Dairy

Lucas Schmeling, Alexander August Ionnis Buchholz, Hilmer Heineke, Peter Klement, Benedikt Hanke and Karsten von Maydell
Additional contact information
Lucas Schmeling: KEHAG Energiehandel GmbH, Im Technologiepark 4, 26129 Oldenburg, Germany
Alexander August Ionnis Buchholz: New Power Pack GmbH, Kopernikusstraße 23, 49377 Vechta, Germany
Hilmer Heineke: New Power Pack GmbH, Kopernikusstraße 23, 49377 Vechta, Germany
Peter Klement: German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Benedikt Hanke: German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Karsten von Maydell: German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany

Sustainability, 2022, vol. 14, issue 10, 1-25

Abstract: In the course of the energy transition, distributed, hybrid energy systems, such as the combination of photovoltaic (PV) and battery storages, is increasingly being used for economic and ecological reasons. However, renewable electricity generation is highly volatile, and storage capacity is usually limited. Nowadays, a new storage component is emerging: the power-to-gas-to-power (PtGtP) technology, which is able to store electricity in the form of hydrogen even over longer periods of time. Although this technology is technically well understood and developed, there are hardly any evaluations and feasibility studies of its widespread integration into current distributed energy systems under realistic legal and economic market conditions. In order to be able to give such an assessment, we develop a methodology and model that optimises the sizing and operation of a PtGtP system as part of a hybrid energy system under current German market conditions. The evaluation is based on a multi-criteria approach optimising for both costs and CO 2 emissions. For this purpose, a brute-force-based optimal design approach is used to determine optimal system sizes, combined with the energy system simulation tool oemof.solph . In order to gain further insights into this technology and its future prospects, a sensitivity analysis is carried out. The methodology is used to examine the case study of a German dairy and shows that PtGtP is not yet profitable but promising.

Keywords: hybrid energy system; energy system simulation; hydrogen storage; multi-objective optimisation; Pareto front; sensitivity analysis; optimal dispatch; oemof.solph (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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