Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286401 
Authors: 
Year of Publication: 
2023
Series/Report no.: 
EWI Working Paper No. 23/08
Publisher: 
Institute of Energy Economics at the University of Cologne (EWI), Cologne
Abstract: 
The introduction of clean hydrogen as a future energy commodity has prompted significant interest in developing dedicated transportation and storage infrastructures as an enabler for cross-border hydrogen trade and cost-efficient supply. This paper addresses the complex challenges associated with the development of a European hydrogen infrastructure within the existing natural gas network while maintaining the security of supply for natural gas. Through an extension of an existing dispatch model for European natural gas supply and transportation by endogenous investments in hydrogen production, transportation, and storage infrastructure, a comprehensive analysis of the interplay between natural gas and hydrogen supply becomes accessible. The new model is formulated as a mixed-integer linear program in order to explicitly consider the binary decision of repurposing natural gas pipelines. The results offer insights into the cost-efficient strategic planning of a European hydrogen network by simulating a range of scenarios with varying economic and technical constraints. The case study finds a dominant role of the availability of renewable energy sources in shaping the network. Also, providing flexibility through flexible imports, production, or hydrogen storage becomes an essential element in a future hydrogen supply chain. The interconnection of all European countries with dedicated hydrogen pipelines is robust across all scenarios. However, the sizing and choice of large import pipelines strongly depend on the assumed techno-economic constraints.
Subjects: 
hydrogen economics
hydrogen infrastructure
hydrogen storage
hydrogen trade
strategic energy planning
mixed-integer linear program
JEL: 
C61
L95
M20
Q41
Q42
Q48
Document Type: 
Working Paper

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