IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i9p1391-d111847.html
   My bibliography  Save this article

Analysis of the Brazilian Energy Efficiency Program for Electricity Distribution Systems

Author

Listed:
  • Rogério Diogne de Souza e Silva

    (Graduate Program in Electrical Engineering, Federal University of Para, Belem 66075-110, Brazil)

  • Rosana Cavalcante de Oliveira

    (Laboratory of Artificial Intelligence and Decision Support, Institute for Systems and Computer Engineering, Technology and Science, 4200 Porto, Portugal)

  • Maria Emília de Lima Tostes

    (Graduate Program in Electrical Engineering, Federal University of Para, Belem 66075-110, Brazil)

Abstract

In this paper, a methodology was developed to analyze the results of energy efficiency programs used in the electricity distribution sector in Brazil. Analyzing the gains obtained through the investments made, and classifying which actions resulted in the best performance, contributed to decision making on the best allocation of investments to obtain the greatest energy savings. The Brazilian Energy Efficiency program was analyzed with a developed non-parametric model, using the data envelopment analysis method, and the categories of projects with better performance were determined. A database of the results from 1704 projects, from 2008 to 2016 in the Energy Efficiency program in Brazil´s electricity distribution sector, was used. The results obtained show that the best performance was achieved by projects in the industrial and cogeneration categories; however, in Brazil these constitute only 4.24% of the projects presented and 5.28% of the total investments in the last eight years, indicating a need to review the regulatory strategies for energy efficiency in this country.

Suggested Citation

  • Rogério Diogne de Souza e Silva & Rosana Cavalcante de Oliveira & Maria Emília de Lima Tostes, 2017. "Analysis of the Brazilian Energy Efficiency Program for Electricity Distribution Systems," Energies, MDPI, vol. 10(9), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1391-:d:111847
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/9/1391/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/9/1391/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Apajalahti, Eeva-Lotta & Lovio, Raimo & Heiskanen, Eva, 2015. "From demand side management (DSM) to energy efficiency services: A Finnish case study," Energy Policy, Elsevier, vol. 81(C), pages 76-85.
    2. Rodrigo F. Calili & Reinaldo C. Souza & Alain Galli & Margaret Armstrong & André Luis M. Marcato, 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Post-Print hal-01110915, HAL.
    3. Abrardi, Laura & Cambini, Carlo, 2015. "Tariff regulation with energy efficiency goals," Energy Economics, Elsevier, vol. 49(C), pages 122-131.
    4. Yi-Shian Lee & Lee-Ing Tong, 2012. "Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic Programming," Energies, MDPI, vol. 5(3), pages 1-16, February.
    5. Janos Szlavik & Maria Csete, 2012. "Climate and Energy Policy in Hungary," Energies, MDPI, vol. 5(2), pages 1-24, February.
    6. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    7. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    8. Calili, Rodrigo F. & Souza, Reinaldo C. & Galli, Alain & Armstrong, Margaret & Marcato, André Luis M., 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Energy Policy, Elsevier, vol. 67(C), pages 4-15.
    9. Thoyre, Autumn, 2015. "Energy efficiency as a resource in state portfolio standards: Lessons for more expansive policies," Energy Policy, Elsevier, vol. 86(C), pages 625-634.
    10. Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
    11. Patrik Thollander & Jenny Palm, 2015. "Industrial Energy Management Decision Making for Improved Energy Efficiency—Strategic System Perspectives and Situated Action in Combination," Energies, MDPI, vol. 8(6), pages 1-10, June.
    12. Pacudan, Romeo & de Guzman, Elaine, 2002. "Impact of energy efficiency policy to productive efficiency of electricity distribution industry in the Philippines," Energy Economics, Elsevier, vol. 24(1), pages 41-54, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agatha Oliveira & Rodrigo Calili & Maria Fatima Almeida & Manuel Sousa, 2019. "A Systemic and Contextual Framework to Define a Country’s 2030 Agenda from a Foresight Perspective," Sustainability, MDPI, vol. 11(22), pages 1-28, November.
    2. Giglio, T. & Santos, V. & Lamberts, R., 2019. "Analyzing the impact of small solar water heating systems on peak demand and on emissions in the Brazilian context," Renewable Energy, Elsevier, vol. 133(C), pages 1404-1413.
    3. Baldini, Mattia & Klinge Jacobsen, Henrik, 2016. "Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences," MPRA Paper 102031, University Library of Munich, Germany.
    4. Javier Linkolk López-Gonzales & Reinaldo Castro Souza & Felipe Leite Coelho da Silva & Natalí Carbo-Bustinza & Germán Ibacache-Pulgar & Rodrigo Flora Calili, 2020. "Simulation of the Energy Efficiency Auction Prices via the Markov Chain Monte Carlo Method," Energies, MDPI, vol. 13(17), pages 1-19, September.
    5. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    6. Jinpeng Liu & Li Wang & Mohan Qiu & Jiang Zhu, 2016. "Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    7. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    8. Vieira, Nathália Duarte Braz & Nogueira, Luiz Augusto Horta & Haddad, Jamil, 2018. "An assessment of CO2 emissions avoided by energy-efficiency programs: A general methodology and a case study in Brazil," Energy, Elsevier, vol. 142(C), pages 702-715.
    9. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    10. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    11. He, Yong & Liao, Nuo & Zhou, Ya, 2018. "Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN," Energy, Elsevier, vol. 142(C), pages 79-89.
    12. Simona-Vasilica Oprea & Adela Bâra & Adriana Reveiu, 2018. "Informatics Solution for Energy Efficiency Improvement and Consumption Management of Householders," Energies, MDPI, vol. 11(1), pages 1-31, January.
    13. Xiaohua Song & Yun Long & Zhongfu Tan & Xubei Zhang & Leming Li, 2016. "The Optimization of Distributed Photovoltaic Comprehensive Efficiency Based on the Construction of Regional Integrated Energy Management System in China," Sustainability, MDPI, vol. 8(11), pages 1-19, November.
    14. Weixin Yang & Lingguang Li, 2017. "Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 9(6), pages 1-26, June.
    15. Chen, Chung-Chiang, 2010. "A performance evaluation of MSW management practice in Taiwan," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1353-1361.
    16. Agnieszka Sompolska-Rzechuła & Agnieszka Kurdyś-Kujawska, 2021. "Towards Understanding Interactions between Sustainable Development Goals: The Role of Climate-Well-Being Linkages. Experiences of EU Countries," Energies, MDPI, vol. 14(7), pages 1-20, April.
    17. Helms, Thorsten, 2016. "Asset transformation and the challenges to servitize a utility business model," Energy Policy, Elsevier, vol. 91(C), pages 98-112.
    18. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    19. San Cristóbal, José Ramón, 2011. "A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies," Renewable Energy, Elsevier, vol. 36(10), pages 2742-2746.
    20. Lee, W. L. & Yik, F. W. H., 2002. "Framework for formulating a performance-based incentive-rebate scale for the demand-side-energy management scheme for commercial buildings in Hong Kong," Applied Energy, Elsevier, vol. 73(2), pages 139-166, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1391-:d:111847. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.