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Uncertainty—an argument for more stringent energy conservation

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  • Craig, Paul P.
  • Levine, Mark D.
  • Mass, James

Abstract

Most energy conservation analyses assume various future paths for energy prices and other parameters and then proceed to calculate the optimal value of conservation investment under the specified assumptions. Sensitivity analysis is used to examine the amount which the calculations change as parameters are varied. In fact, the future is not known with certainty, and it is desirable to include uncertainty explicitly in the analysis. This paper approaches the uncertainty problem in a simple way but one which provides considerable insight. We assume that future energy price growth is characterized by a probability distribution, and calculate the optimal investment strategy for conservation investment given this uncertainty. The results are striking. Introduction of uncertainty leads to the conclusion that more conservation investment is desirable than would be made without uncertainty. The conclusion stems, in essence, from the observation that the upside risk to the consumer resulting from unexpectedly high energy prices is larger than the downside savings which would result from unexpectedly low energy prices. The policy conclusion is straightforward: All else being equal, if you think that future energy prices are uncertain, it pays off (for both the individual and the nation) to err on the side of “too much” rather than “too little” conservation.

Suggested Citation

  • Craig, Paul P. & Levine, Mark D. & Mass, James, 1980. "Uncertainty—an argument for more stringent energy conservation," Energy, Elsevier, vol. 5(10), pages 1073-1083.
  • Handle: RePEc:eee:energy:v:5:y:1980:i:10:p:1073-1083
    DOI: 10.1016/0360-5442(80)90030-4
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    Cited by:

    1. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.

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