RMIT University
Browse

Renewable energy adoption in the built environment: a sociotechnical network approach

The transition to renewable energy system in the building industry is a complex process comprising various technology elements and influenced by multiple stakeholders and various functions. Without unravelling how technical systems are embedded with social components, the opportunity for successful implementation is compromised. Therefore, this paper examines the influence of sociotechnical elements on renewable energy uptake in the building industry. This study adopts a sociotechnical network perspective and proposes a meta-network analysis (multi-link and multi-node network) to assess complex sociotechnical systems and uses an example of building-integrated photovoltaic (BIPV) uptake to demonstrate the approach. A comprehensive literature review and 20 interviews assisted in the development of the sociotechnical network. The adoption process is transformed to a three-node network,with nodes as social actors, technical artefacts and actions (drivers that influence the deployment). The findings reveal significant sociotechnical elements as adopters/clients: governments, BIPV panels, energy storage systems and the building. The system performances, uniform standards, regulations and building codes, stakeholder collaborations, incentives and upfront cost are highlighted as critical drivers influencing deployment. The goal of the study is to inform practitioners and researchers how social and technical dynamics shape successful renewable energy transition in the building sector.

History

Journal

Intelligent Buildings International

Volume

13

Issue

1

Start page

33

End page

50

Total pages

18

Publisher

Earthscan

Place published

United Kingdom

Language

English

Copyright

© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Former Identifier

2006099450

Esploro creation date

2021-06-01

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC