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Using energy saving deficit distributions to assess calculated, deemed and metered electricity savings estimations

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  • Guibentif, Thomas M.M.
  • Patel, Martin K.
  • Yilmaz, Selin

Abstract

Energy efficiency programme monitoring is often based on ex-ante saving estimations. These estimations lack standardization, are prone to parameter errors, and neglect rebound effects. Moreover, a comparison with ex-post estimations is not systematically done. This paper proposes a simple methodology to assess ex-ante against ex-post estimations, using the distribution of the energy savings deficit, i.e. the normalized difference between reported and metered savings. This methodology is applied to a dataset of lighting renovation measures to first assess calculated savings against utility meter data. The mean energy savings deficit amounts to 39% for measures in small to medium enterprises and to 28% in common areas of buildings. Further analysis shows that this overestimation arises from both significant calculation errors and rebound effects. These analysis and findings are the first of their kind for these sectors. The methodology is further used to assess deemed savings approaches. The results show that coefficients based on time-of-use and the type of replaced technology provide a precision comparable to calculated savings. Further limitations of ex-ante quantitative monitoring are identified based on empirical observations of a utility-driven programme. This suggests that, instead of current practices, quantitative monitoring should focus on ex-post analysis of meter data. This would free up resources for a more qualitative follow-up of measure impacts to better inform programme and policy design.

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  • Guibentif, Thomas M.M. & Patel, Martin K. & Yilmaz, Selin, 2021. "Using energy saving deficit distributions to assess calculated, deemed and metered electricity savings estimations," Applied Energy, Elsevier, vol. 304(C).
  • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921010692
    DOI: 10.1016/j.apenergy.2021.117721
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    1. Davide Prati & Stefania Spiazzi & Gregor Cerinšek & Annarita Ferrante, 2020. "A User-Oriented Ethnographic Approach to Energy Renovation Projects in Multiapartment Buildings," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    2. Tiefenbeck, Verena & Staake, Thorsten & Roth, Kurt & Sachs, Olga, 2013. "For better or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign," Energy Policy, Elsevier, vol. 57(C), pages 160-171.
    3. Schleich, Joachim & Mills, Bradford & Dütschke, Elisabeth, 2014. "A brighter future? Quantifying the rebound effect in energy efficient lighting," Energy Policy, Elsevier, vol. 72(C), pages 35-42.
    4. Barkhordar, Zahra A., 2019. "Evaluating the economy-wide effects of energy efficient lighting in the household sector of Iran," Energy Policy, Elsevier, vol. 127(C), pages 125-133.
    5. Moser, Simon, 2017. "Overestimation of savings in energy efficiency obligation schemes," Energy, Elsevier, vol. 121(C), pages 599-605.
    6. repec:hal:gemwpa:hal-00991732 is not listed on IDEAS
    7. Bertoldi, Paolo & Rezessy, Silvia & Lees, Eoin & Baudry, Paul & Jeandel, Alexandre & Labanca, Nicola, 2010. "Energy supplier obligations and white certificate schemes: Comparative analysis of experiences in the European Union," Energy Policy, Elsevier, vol. 38(3), pages 1455-1469, March.
    8. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    9. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    10. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    11. Zapata-Lancaster, Gabriela & Tweed, Chris, 2014. "Designers׳ enactment of the policy intentions. An ethnographic study of the adoption of energy regulations in England and Wales," Energy Policy, Elsevier, vol. 72(C), pages 129-139.
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    3. Pratik Mochi & Kartik Pandya & Joao Soares & Zita Vale, 2023. "Optimizing Power Exchange Cost Considering Behavioral Intervention in Local Energy Community," Mathematics, MDPI, vol. 11(10), pages 1-15, May.
    4. Tzani, Dimitra & Stavrakas, Vassilis & Santini, Marion & Thomas, Samuel & Rosenow, Jan & Flamos, Alexandros, 2022. "Pioneering a performance-based future for energy efficiency: Lessons learnt from a comparative review analysis of pay-for-performance programmes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

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