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Renewable deployment: Model for a fairer distribution

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  • Philipp Grunewald

    (Environmental Change Institute, University of Oxford)

Abstract

Typically, the allocation of renewable power sources is determined by a desire to maximize output and reduce generation costs in order to satisfy the preferences of a small number of stakeholders. A new model broadens this perspective by considering societal equity and acceptability, with the aim of improving the siting process.

Suggested Citation

  • Philipp Grunewald, 2017. "Renewable deployment: Model for a fairer distribution," Nature Energy, Nature, vol. 2(9), pages 1-2, September.
    • Handle: RePEc:nat:natene:v:2:y:2017:i:9:d:10.1038_nenergy.2017.130
    DOI: 10.1038/nenergy.2017.130
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    Cited by:

    1. Tu, Qiang & Mo, Jianlei & Liu, Zhuoran & Gong, Chunxu & Fan, Ying, 2021. "Using green finance to counteract the adverse effects of COVID-19 pandemic on renewable energy investment-The case of offshore wind power in China," Energy Policy, Elsevier, vol. 158(C).
    2. Chang, Lei & Mohsin, Muhammad & Hasnaoui, Amir & Taghizadeh-Hesary, Farhad, 2023. "Exploring carbon dioxide emissions forecasting in China: A policy-oriented perspective using projection pursuit regression and machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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