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Energy Efficiency Investments in Industry with Uncertain Demand Rate: Effects on the Specific Energy Consumption

Author

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  • Beatrice Marchi

    (Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy)

  • Simone Zanoni

    (Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy)

  • Ivan Ferretti

    (Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy)

Abstract

The term “energy efficiency” covers a wide scope and it is affected by a lack of clarity. To overcome this issue, quantitative measures should be defined and evaluated for each unit of product or process considered. These quantitative indicators are necessary to support and evaluate energy efficiency improvements in industry, by allowing to (i) monitor the energy performance, and (ii) perform benchmarking analyses with best available techniques or similar processes. The specific energy consumption (SEC), i.e., the amount of energy consumed per unit of product/output, is the most commonly used index. Because of the uncertain demand faced by companies, production processes run at a rate that can vary within a certain range, to which correspond a different utilization of plants. Energy efficiency investments can be categorized in accordance to how they affect the SEC: i.e., the first group of investments has the same effects for each production rate (e.g., replacement of dated electric motors with new technologies), while the other has different effects for different ranges of production rate (e.g., installation of an inverter). The present work proposes a novel decision model for supporting the evaluation of the more suitable energy efficiency investment in an industrial context where the demand is uncertain. A numerical example based on a case study from the aluminum industry is then proposed in order to highlight the relevance of the problem discussed and to evaluate the behavior of the models in different scenarios characterized by different load factors. From the results, it evinced that the return of the investment strongly depends on the range of production rate and, thus, on the demand variability.

Suggested Citation

  • Beatrice Marchi & Simone Zanoni & Ivan Ferretti, 2019. "Energy Efficiency Investments in Industry with Uncertain Demand Rate: Effects on the Specific Energy Consumption," Energies, MDPI, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:161-:d:303073
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    References listed on IDEAS

    as
    1. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    2. Beatrice Marchi & Simone Zanoni, 2017. "Supply Chain Management for Improved Energy Efficiency: Review and Opportunities," Energies, MDPI, vol. 10(10), pages 1-29, October.
    3. Jackson, Jerry, 2010. "Promoting energy efficiency investments with risk management decision tools," Energy Policy, Elsevier, vol. 38(8), pages 3865-3873, August.
    4. Beatrice Marchi & Simone Zanoni & Ivan Ferretti & Lucio E. Zavanella, 2018. "Stimulating Investments in Energy Efficiency Through Supply Chain Integration," Energies, MDPI, vol. 11(4), pages 1-13, April.
    5. Evan L. Porteus, 1985. "Investing in Reduced Setups in the EOQ Model," Management Science, INFORMS, vol. 31(8), pages 998-1010, August.
    6. Trianni, Andrea & Cagno, Enrico & De Donatis, Alessio, 2014. "A framework to characterize energy efficiency measures," Applied Energy, Elsevier, vol. 118(C), pages 207-220.
    7. Lucio Enrico Zavanella & Beatrice Marchi & Simone Zanoni & Ivan Ferretti, 2019. "Energy considerations for the economic production quantity and the joint economic lot sizing," Journal of Business Economics, Springer, vol. 89(7), pages 845-865, September.
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