Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2023
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

D3.1 Case studies of interest regarding risks and uncertainty in the hydrogen value chain

Authors: Tedesco, Michele; Janssen, Jacob; van der Weijde, Harry; Hajonides, Thomas;

D3.1 Case studies of interest regarding risks and uncertainty in the hydrogen value chain

Abstract

The scope of WP3 within the HyDelta project is to identify – together with stakeholders – risks, uncertainties, and collaboration opportunities that are crucial to understanding deployment strategies and policy in the hydrogen value chain, in particular: (Quantifiable) risks and (unquantifiable) uncertainties to market participants, including OPEX risk, price risk, macro-economic systemic risks, regulatory risks, and uncertainties Uncertainty and risks to policy makers at various levels, including local and national authorities Collaboration opportunities, needs and mechanisms for the sharing of revenues between collaborating parties, as well as the sharing of risk. The purpose of the current report is to provide a more detailed scope. An initial list of risks and uncertainties has been identified through two stakeholder workshops, and is reported in this document. These risks span a wide range. Many of the key risks to individual actors are related to value chain coordination (e.g., demand, supply or storage not materializing at the same time, leading to a disconnected value chain), but there are also important risks related to the availability of key inputs (materials, but especially labor), wider economic factors, policy and regulation. Although we were able to flag some risks as particularly important, this is based on an initial analysis only, so these assessments may change after a full quantification. For some risks, there is less consensus. Several uncertainties and risks were identified in this stage of the research. The outlined uncertainties and risks are clearly different for different types of hydrogen value chains, e.g., combined offshore wind and hydrogen production at source, backbone-connected large-scale production and industrial use of hydrogen, and local production of hydrogen with distributed take-off. Accordingly, three different case studies have been identified to quantitatively assess the risks and uncertainties. We also outline different collaboration mechanisms which can help address these risks. These will be quantitatively analysed in the case studies, using a set of three energy system models which simulate the energy system at different geographical and timescales to capture a wide range of risks and uncertainties.

Dit project is medegefinancierd door TKI Nieuw Gas | Topsector Energie uit de PPS-toeslag onder referentienummer TKI2022-HyDelta.

Keywords

renewable hydrogen, hydrogen, electrolysis, electricity production, hydelta, uncertainty, risks, supply chain

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 107
    download downloads 106
  • 107
    views
    106
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
107
106
Green