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Design of balanced energy savings performance contracts

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  • Barış Tan

Abstract

Energy savings performance contracts between the energy users and the energy service companies (ESCO) are used to finance energy efficiency investments by using the future energy savings that will result from these investments. We present an analytical model to characterise the energy savings performance contracts and discuss how the risks of estimating the energy savings affect the energy user and the service provider. This characterisation allows determination of the contract parameters for a balanced contract with the information about the energy savings that are expected from the planned energy-efficiency investments. Since it is difficult to get the statistical information about the energy savings before investing in an energy-efficiency project, we develop a distribution-free contract that sets the guaranteed energy savings level based on the mean and the standard deviation of the energy savings and the profit-sharing ratio between the ESCO and the energy user. We show that a simple distribution-free balanced contract performs satisfactorily when the distribution of the energy savings is not known and its mean and the standard deviation are estimated with error. Our analytical results show that the energy savings contracts with the right parameters can mitigate the risks related to realisation of the anticipated energy savings.

Suggested Citation

  • Barış Tan, 2020. "Design of balanced energy savings performance contracts," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1401-1424, March.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1401-1424
    DOI: 10.1080/00207543.2019.1641240
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    Cited by:

    1. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    2. Jorge Natividade & Carlos Oliveira Cruz & Cristina Matos Silva, 2022. "Improving the Efficiency of Energy Consumption in Buildings: Simulation of Alternative EnPC Models," Sustainability, MDPI, vol. 14(7), pages 1-17, April.

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