Presentation Open Access

Benchmarking VRE cost assumptions with awarded renewable energy auctions – A comparative assessment of global energy scenarios

Klein, Martin; Xiao, Mengzhu; Junne, Tobias


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.1435842</identifier>
  <creators>
    <creator>
      <creatorName>Klein, Martin</creatorName>
      <givenName>Martin</givenName>
      <familyName>Klein</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7283-4707</nameIdentifier>
      <affiliation>German Aerospace Center (DLR), Department Energy Systems Analysis</affiliation>
    </creator>
    <creator>
      <creatorName>Xiao, Mengzhu</creatorName>
      <givenName>Mengzhu</givenName>
      <familyName>Xiao</familyName>
      <affiliation>German Aerospace Center (DLR), Department Energy Systems Analysis</affiliation>
    </creator>
    <creator>
      <creatorName>Junne, Tobias</creatorName>
      <givenName>Tobias</givenName>
      <familyName>Junne</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1576-8069</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Benchmarking VRE cost assumptions with awarded renewable energy auctions – A comparative assessment of global energy scenarios</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Energy</subject>
    <subject>Renewable Energy</subject>
    <subject>Energy Scenarios</subject>
    <subject>Auctions</subject>
    <subject>Cost Assumptions</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-25</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1435842</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1435841</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/energy-systems-analysis</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Wind and solar power play a pivotal role in deep decarbonization pathways. However, energy scenario studies differ substantially in the absolute and relative contribution of these technologies, as the technology choice in model assessments depends strongly on the choice of certain techno-economic parameters. In this presentation we systematically compare cost assumptions for variable renewable energy sources (VRE) in global energy scenarios with recent remuneration levels determined via market-based auction mechanisms. Our results indicate that the rapid cost decline of renewables has been structurally underestimated and suggest that many current studies refer to obsolete or very conservative literature values and status-quo bias, potentially significantly underestimating future deployment levels of VRE and their decarbonization potentials.&lt;/p&gt;</description>
  </descriptions>
</resource>
504
323
views
downloads
All versions This version
Views 504504
Downloads 323323
Data volume 313.0 MB313.0 MB
Unique views 433433
Unique downloads 269269

Share

Cite as