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Risk, innovation, electricity infrastructure and construction cost overruns: Testing six hypotheses

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  • Sovacool, Benjamin K.
  • Gilbert, Alex
  • Nugent, Daniel

Abstract

This study investigates the frequency and magnitude of cost and time overruns occurring during the construction of 401 electricity projects built between 1936 and 2014 in 57 countries. In aggregate, these projects required approximately $820 billion in investment, and amounted to 325,515 MW of installed capacity and 8495 km of transmission lines. We use this sample of projects to test six hypotheses about construction cost overruns related to (1) diseconomies of scale, (2) project delays, (3) technological learning, (4) regulation and markets, (5) decentralization and modularity, and (6) normalization of results to scale. We find that nuclear reactors are the riskiest technology in terms of mean cost escalation as a percentage of budget and frequency; that hydroelectric dams stand apart for their mean cost escalation in total dollars; that many of the hypotheses grounded in the literature appear wrong; and that financing, partnerships, modularity, and accountability may have more to do with overruns than technology.

Suggested Citation

  • Sovacool, Benjamin K. & Gilbert, Alex & Nugent, Daniel, 2014. "Risk, innovation, electricity infrastructure and construction cost overruns: Testing six hypotheses," Energy, Elsevier, vol. 74(C), pages 906-917.
    • Handle: RePEc:eee:energy:v:74:y:2014:i:c:p:906-917
    DOI: 10.1016/j.energy.2014.07.070
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    References listed on IDEAS

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    1. Grubler, Arnulf, 2010. "The costs of the French nuclear scale-up: A case of negative learning by doing," Energy Policy, Elsevier, vol. 38(9), pages 5174-5188, September.
    2. Andrew Ford, 2002. "Boom and Bust in Power Plant Construction: Lessons from the California Electricity Crisis," Journal of Industry, Competition and Trade, Springer, vol. 2(1), pages 59-74, June.
    3. Levitt, Andrew C. & Kempton, Willett & Smith, Aaron P. & Musial, Walt & Firestone, Jeremy, 2011. "Pricing offshore wind power," Energy Policy, Elsevier, vol. 39(10), pages 6408-6421, October.
    4. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    5. Congressional Budget Office, 2011. "Federal Loan Guarantees for the Construction of Nuclear Power Plants," Reports 41510, Congressional Budget Office.
    6. Koomey, Jonathan & Hultman, Nathan E., 2007. "A reactor-level analysis of busbar costs for US nuclear plants, 1970-2005," Energy Policy, Elsevier, vol. 35(11), pages 5630-5642, November.
    7. Jamasb, T. & Köhler, J., 2007. "Learning Curves For Energy Technology and Policy Analysis: A Critical Assessment," Cambridge Working Papers in Economics 0752, Faculty of Economics, University of Cambridge.
    8. Berry, David, 2009. "Innovation and the price of wind energy in the US," Energy Policy, Elsevier, vol. 37(11), pages 4493-4499, November.
    9. Benjamin K. Sovacool & Christopher J. Cooper, 2013. "The Governance of Energy Megaprojects," Books, Edward Elgar Publishing, number 15106.
    10. John M. Marshall & Peter Navarro, 1991. "Costs of Nuclear Power Plant Construction: Theory and New Evidence," RAND Journal of Economics, The RAND Corporation, vol. 22(1), pages 148-154, Spring.
    11. De Bondt, Werner F. M. & Makhija, Anil K., 1988. "Throwing good money after bad? : Nuclear power plant investment decisions and the relevance of sunk costs," Journal of Economic Behavior & Organization, Elsevier, vol. 10(2), pages 173-199, September.
    12. Walker, William, 2000. "Entrapment in large technology systems: institutional commitment and power relations," Research Policy, Elsevier, vol. 29(7-8), pages 833-846, August.
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