Schmeling, Lucas and Buchholz, Alexander August Ionnis and Heineke, Hilmer and Klement, Peter and Hanke, Benedikt and von Maydell, Karsten (2022) Planning, Optimisation and Evaluation of Small Power-to-Gas-to-Power Systems: Case Study of a German Dairy. Sustainability, 14 (10), pp. 1-25. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/su14106050. ISSN 2071-1050.
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Official URL: https://www.mdpi.com/2071-1050/14/10/6050
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 CO2 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. View Full-Text
Item URL in elib: | https://elib.dlr.de/186967/ | ||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||
Title: | Planning, Optimisation and Evaluation of Small Power-to-Gas-to-Power Systems: Case Study of a German Dairy | ||||||||||||||||||||||||||||
Authors: |
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Date: | 16 May 2022 | ||||||||||||||||||||||||||||
Journal or Publication Title: | Sustainability | ||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||
Volume: | 14 | ||||||||||||||||||||||||||||
DOI: | 10.3390/su14106050 | ||||||||||||||||||||||||||||
Page Range: | pp. 1-25 | ||||||||||||||||||||||||||||
Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||||||
Series Name: | Hydrogen Energy Systems for Energy Storage Applications | ||||||||||||||||||||||||||||
ISSN: | 2071-1050 | ||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||
Keywords: | hybrid energy system; energy system simulation; hydrogen storage; multi-objective optimisation; Pareto front; sensitivity analysis; optimal dispatch; oemof.solph | ||||||||||||||||||||||||||||
HGF - Research field: | Energy | ||||||||||||||||||||||||||||
HGF - Program: | Energy System Design | ||||||||||||||||||||||||||||
HGF - Program Themes: | Digitalization and System Technology | ||||||||||||||||||||||||||||
DLR - Research area: | Energy | ||||||||||||||||||||||||||||
DLR - Program: | E SY - Energy System Technology and Analysis | ||||||||||||||||||||||||||||
DLR - Research theme (Project): | E - Energy System Technology | ||||||||||||||||||||||||||||
Location: | Oldenburg | ||||||||||||||||||||||||||||
Institutes and Institutions: | Institute of Networked Energy Systems > Energy System Technology | ||||||||||||||||||||||||||||
Deposited By: | Klement, Dr. Peter | ||||||||||||||||||||||||||||
Deposited On: | 27 Jun 2022 09:37 | ||||||||||||||||||||||||||||
Last Modified: | 27 Jun 2022 09:37 |
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