The hydrogen field in 2035: A Delphi study forecasting dominant technology bundles

Hydrogen might play an essential role in mitigating climate change. It can be applied across a set of both easy and hard-to-abate use-cases. But, most hydrogen-based technologies are not yet market-ready. To prevent wrong investment decisions, both corporates and policymakers need transparency on where the use of hydrogen is most likely and which technologies will be required. Due to their interdependence, all hydrogen-enabling technologies (e.g., fuel cells, electrolyzers, liquid hydrogen shipping) should be seen as a field of interrelated technologies rather than a disjunct set. Past studies viewed single hydrogen-based technologies as isolated or resorted to demand forecasting without detailing the required technologies. Thus, we ran an adapted Delphi-study to create foresight for entire technology fields and create future scenarios purely from Delphi-data. Additionally, we provide an up-to-date holistic scenario-driven view on the future development of the technology field of hydrogen in the year 2035, including its consequences. We ran two interconnected Delphi studies with 50 subject experts. Our results recommend a more targeted research and investment approach to bringing sustainable technologies for the right use-case to market.

Authors

Institutions

Publication Details

Journal
Technological Forecasting and Social Change
Published
2024-08-09
DOI
https://doi.org/10.1016/j.techfore.2024.123593
Citations
12
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
13.58

Funders

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

The hydrogen field in 2035: A Delphi study forecasting dominant technology bundles

Hüseyin Caferoglu, David Antons, Christina Dienhart, Leo Leypoldt et al.
12 citations
Technological Forecasting and Social Change
Delphi Technique in Research
13.58
article

The hydrogen field in 2035: A Delphi study forecasting dominant technology bundles

Hüseyin Caferoglu, David Antons, Christina Dienhart, Leo Leypoldt, Torsten-Oliver Salge
article en
12 citations

Abstract

Hydrogen might play an essential role in mitigating climate change. It can be applied across a set of both easy and hard-to-abate use-cases. But, most hydrogen-based technologies are not yet market-ready. To prevent wrong investment decisions, both corporates and policymakers need transparency on where the use of hydrogen is most likely and which technologies will be required. Due to their interdependence, all hydrogen-enabling technologies (e.g., fuel cells, electrolyzers, liquid hydrogen shipping) should be seen as a field of interrelated technologies rather than a disjunct set. Past studies viewed single hydrogen-based technologies as isolated or resorted to demand forecasting without detailing the required technologies. Thus, we ran an adapted Delphi-study to create foresight for entire technology fields and create future scenarios purely from Delphi-data. Additionally, we provide an up-to-date holistic scenario-driven view on the future development of the technology field of hydrogen in the year 2035, including its consequences. We ran two interconnected Delphi studies with 50 subject experts. Our results recommend a more targeted research and investment approach to bringing sustainable technologies for the right use-case to market.

Technological Forecasting and Social ChangeVol. 207
University of Bonn (DE), RWTH Aachen University (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 1%
Delphi Technique in Research
13.58
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.