<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>301</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2019-12-19</completedDate>
    <publishedDate>2019-12-22</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Home energy storage: A characterization of potential adopters in Germany</title>
    <abstract language="eng">Home energy storage (HES) poses a promising option to foster flexible electricity demand and grid-stabilising self-supply. Understanding the characteristics of potential storage adopters and their motives for adopting is essential to enable targeted measures to promote diffusion. This paper presents an in-depth analysis of motivational and psychological factors as well as product characteristics that affect the willingness to adopt domestic energy storage. Based on a selective sample of solar panel owners as the main energy storage target group, we find that potential adopters differ systematically in their evaluation of economic and non-economic characteristics of home energy storage. Using correlation-based average linkage clustering, we identify four distinct types of storage adopters: finance-oriented, independence-oriented, idealistic and multilaterally oriented households. Our findings emphasise that segment-specific policy strategies and support mechanisms are needed to stimulate HES adoption to pave the way for a sustainable energy system.</abstract>
    <enrichment key="SubmissionStatus">under review</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Grimm Veronika</author>
    <author>Sandra Kretschmer</author>
    <author>Simon Mehl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy storage, Consumer segmentation, Adoption decision, Innovation diffusion</value>
    </subject>
    <collection role="institutes" number="">Friedrich-Alexander-Universität Erlangen-Nürnberg</collection>
    <collection role="subprojects" number="">B08</collection>
    <file>https://opus4.kobv.de/opus4-trr154/files/301/SWARM_EP_TRR.pdf</file>
  </doc>
</export-example>
