This title appears in the Scientific Report :
2020
Please use the identifier:
http://dx.doi.org/10.1016/j.enconman.2020.113150 in citations.
Please use the identifier: http://hdl.handle.net/2128/25545 in citations.
Site-dependent levelized cost assessment for fully renewable Power-to-Methane systems
Site-dependent levelized cost assessment for fully renewable Power-to-Methane systems
The generation of synthetic natural gas from renewable electricity enables long-term energy storage and provides clean fuels for transportation. In this article, we review the economic challenges for synthetic natural gas and introduce a high-resolution optimization model for decentralized Power-to-...
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Personal Name(s): | Morgenthaler, Simon (Corresponding author) |
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Ball, Christopher / Koj, Jan Christian / Kuckshinrichs, Wilhelm / Witthaut, Dirk | |
Contributing Institute: |
Systemforschung und Technologische Entwicklung; IEK-STE |
Published in: | Energy conversion and management, 223 (2020) S. 113150 - |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2020
|
DOI: |
10.1016/j.enconman.2020.113150 |
Document Type: |
Journal Article |
Research Program: |
Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" Power-To-X Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/25545 in citations.
The generation of synthetic natural gas from renewable electricity enables long-term energy storage and provides clean fuels for transportation. In this article, we review the economic challenges for synthetic natural gas and introduce a high-resolution optimization model for decentralized Power-to-Methane plants. The model optimizes both the system layout and its operation including renewable power generation. The optimization yields the levelized costs per kWh of synthetic natural gas. We find that costs vary between 0.24 and 0.30 €/kWh depending on the local availability of renewable energy resources. The optimum renewable generation mix typically features much more wind than solar power, and the use of battery electric storage systems has only minor effects on levelized costs. We further discuss how the economic competitiveness of Power-to-Methane systems can be improved by the technical developments and by the use of co-products, such as oxygen and curtailed electricity. |