Constructing the hydrogen demand curve for road transport: Case studies for Germany and China

Overview of the HyDAM-T model and the key findings of this paper. • Electric vehicles are the most economical option in most cases in the long run. • Heavy-duty freight truck buyers are the most sensitive to fuel prices. • Heavy-duty freight transport shows the highest hydrogen demand potential in 2050. • Germany shows higher price acceptance for hydrogen than China. • Key drivers are fuel and carbon prices in 2030, and electricity prices in 2050. Using hydrogen as a fuel can potentially decarbonize road transport, however, its economic feasibility is unclear due to the absence of a hydrogen market. This paper introduces a novel approach for deriving hydrogen demand curves in road transport and analyzes the hydrogen demand potential for Germany and China. By estimating acceptable prices for new vehicle buyers opting for hydrogen and the possible hydrogen demand from these new vehicles, we provide insights into potential market dynamics. Additionally, we examine the impacts of different developments in fuel, electricity, and carbon prices on technology diffusion and hydrogen demand potential. Simulations for 2030 and 2050 across 15 price pathways reveal that hydrogen could be demanded in passenger transport in 2030 in Germany but not beyond, attributed to the economic viability and improving availability of electric alternatives. Heavy-duty freight emerges as a key demand segment with significant long-term potential in both countries, with higher acceptable prices.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2025-04-01
DOI
https://doi.org/10.1016/j.ecmx.2025.100993
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constructing the hydrogen demand curve for road transport: Case studies for Germany and China

Lin Zheng, Madeleine Gibescu, Johannes Eckstein, Wolfgang Eichhammer et al.
1 citations
Energy Conversion and Management X
Electric Vehicles and Infrastructure
0.73
article

Constructing the hydrogen demand curve for road transport: Case studies for Germany and China

Lin Zheng, Madeleine Gibescu, Johannes Eckstein, Wolfgang Eichhammer, Bastian Weißenburger
article en
1 citations

Abstract

Overview of the HyDAM-T model and the key findings of this paper. • Electric vehicles are the most economical option in most cases in the long run. • Heavy-duty freight truck buyers are the most sensitive to fuel prices. • Heavy-duty freight transport shows the highest hydrogen demand potential in 2050. • Germany shows higher price acceptance for hydrogen than China. • Key drivers are fuel and carbon prices in 2030, and electricity prices in 2050. Using hydrogen as a fuel can potentially decarbonize road transport, however, its economic feasibility is unclear due to the absence of a hydrogen market. This paper introduces a novel approach for deriving hydrogen demand curves in road transport and analyzes the hydrogen demand potential for Germany and China. By estimating acceptable prices for new vehicle buyers opting for hydrogen and the possible hydrogen demand from these new vehicles, we provide insights into potential market dynamics. Additionally, we examine the impacts of different developments in fuel, electricity, and carbon prices on technology diffusion and hydrogen demand potential. Simulations for 2030 and 2050 across 15 price pathways reveal that hydrogen could be demanded in passenger transport in 2030 in Germany but not beyond, attributed to the economic viability and improving availability of electric alternatives. Heavy-duty freight emerges as a key demand segment with significant long-term potential in both countries, with higher acceptable prices.

Energy Conversion and Management XVol. 26
Utrecht University (NL), ETH Zurich (CH), Institute for European Energy and Climate Policy (NL), Fraunhofer Institute for Systems and Innovation Research (DE)
Bundesministerium für Bildung und Forschung
Sustainable cities and communities
Openalex Percentile: Top 30%
Electric Vehicles and Infrastructure
0.73
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.