Multi-criteria analysis framework for the optimal localization of power-to-gas plants: A case study for Germany

A well-developed hydrogen infrastructure is a key element for the global energy transition. The strategic implementation of this infrastructure is challenging, due to the wide range of different criteria which need to be considered and analyzed. This paper presents a novel multi-criteria analysis framework for the optimal localization of power-to-gas (PtG) plants. The framework considers criteria such as renewable energy availability, hydrogen demand, proximity to existing gas infrastructure, and groundwater availability. A techno-economic model is integrated into the framework to evaluate the levelized cost of hydrogen ( LCOH ) for different electrolyzer technologies. Applying the developed framework to Germany, the potential of northern and northwestern Germany as suitable locations becomes apparent. In addition, LCOH for PtG plants at selected locations in Germany are evaluated depending on the year of commissioning. The large differences between present LCOH, ranging from 16.8 €/kg to 9.1 €/kg, illustrate the importance of an integrated techno-economic model. • MCA framework for optimal localization of PtG plants. • Integrated techno-economic modeling for LCOH calculation. • Spatial division of Germany for aggregated potential evaluation. • Highest potential in northwest Germany. • FLH as major cost driver for LCOH.

Authors

Institutions

Publication Details

Journal
International Journal of Hydrogen Energy
Published
2025-11-12
DOI
https://doi.org/10.1016/j.ijhydene.2025.152469
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-criteria analysis framework for the optimal localization of power-to-gas plants: A case study for Germany

Andreas Jess, Dieter Brüggemann, Matthias Welzl, Tim Herrmannsdörfer et al.
International Journal of Hydrogen Energy
Hybrid Renewable Energy Systems
article

Multi-criteria analysis framework for the optimal localization of power-to-gas plants: A case study for Germany

Andreas Jess, Dieter Brüggemann, Matthias Welzl, Tim Herrmannsdörfer, Christoph Linhardt
article en

Abstract

A well-developed hydrogen infrastructure is a key element for the global energy transition. The strategic implementation of this infrastructure is challenging, due to the wide range of different criteria which need to be considered and analyzed. This paper presents a novel multi-criteria analysis framework for the optimal localization of power-to-gas (PtG) plants. The framework considers criteria such as renewable energy availability, hydrogen demand, proximity to existing gas infrastructure, and groundwater availability. A techno-economic model is integrated into the framework to evaluate the levelized cost of hydrogen ( LCOH ) for different electrolyzer technologies. Applying the developed framework to Germany, the potential of northern and northwestern Germany as suitable locations becomes apparent. In addition, LCOH for PtG plants at selected locations in Germany are evaluated depending on the year of commissioning. The large differences between present LCOH, ranging from 16.8 €/kg to 9.1 €/kg, illustrate the importance of an integrated techno-economic model. • MCA framework for optimal localization of PtG plants. • Integrated techno-economic modeling for LCOH calculation. • Spatial division of Germany for aggregated potential evaluation. • Highest potential in northwest Germany. • FLH as major cost driver for LCOH.

International Journal of Hydrogen EnergyVol. 194
University of Bayreuth (DE)
Openalex Percentile: Top 64%
Hybrid Renewable Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.