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Planning for Large-Scale Wind and Solar Power in South Africa: Identifying Cost-Effective Deployment Strategies Through Spatiotemporal Modelling

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  • Kevin Ummel
  • Charles Fant

Abstract

South Africa hopes to expand wind and solar power. Success depends on how and where to deploy the technologies. This study develops a 10-year database of expected power generation for these technologies across South Africa. A power system model simulates the performance of different spatial deployment strategies in 2040. The results suggest that optimization of the location and quantities of the technologies could significantly reduce the cost of greenhouse gas abatement compared to conventional approaches.

Suggested Citation

  • Kevin Ummel & Charles Fant, 2014. "Planning for Large-Scale Wind and Solar Power in South Africa: Identifying Cost-Effective Deployment Strategies Through Spatiotemporal Modelling," WIDER Working Paper Series wp-2014-121, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2014-121
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    File URL: https://www.wider.unu.edu/sites/default/files/wp2014-121.pdf
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    References listed on IDEAS

    as
    1. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
    2. Mebane Jr., Walter R. & Sekhon, Jasjeet S., 2011. "Genetic Optimization Using Derivatives: The rgenoud Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i11).
    3. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    4. Kevin Ummel, 2013. "Planning for Large-Scale Wind and Solar Power in South Africa: Identifying Cost-Effective Deployment Strategies Using Spatiotemporal Modeling-Working Paper 340," Working Papers 340, Center for Global Development.
    5. Fluri, Thomas P., 2009. "The potential of concentrating solar power in South Africa," Energy Policy, Elsevier, vol. 37(12), pages 5075-5080, December.
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