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Framework for Investment in Electricity Distribution to Enable Energy Transition

Author

Listed:
  • Fernando Andrade

    (Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil)

  • Drielli Peyerl

    (Faculty of Science, University of Amsterdam, Science Park 904, P.O. Box 94157, 1090 GD Amsterdam, The Netherlands)

  • Claudia A. de Mattos

    (Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil)

Abstract

The climate crisis, caused by the emission of greenhouse gases, requires urgent attention and the implementation of effective measures to mitigate it. Within this scenario, the energy transition, a shift from an energy matrix based on fossil fuels to one with low or zero carbon emissions, emerges as a fundamental strategy for neutralizing these emissions. Given this context, the main objective of this study is to propose and validate an investment model in distribution infrastructure to enable the integral and effective development of the energy transition in Brazil. To this end, a systematic review was conducted, which provided the necessary foundation for elaborating a model aimed at estimating the investment required in the distribution of electricity in Brazil, based on the variables identified in the literature. Through the Delphi method, this model was validated by experts. From this perspective, electric vehicles, distributed generation, energy storage, and demand response are key elements in this process. Given this scenario, the electric sector, particularly the distribution of electric power, plays a crucial role in enabling the energy transition.

Suggested Citation

  • Fernando Andrade & Drielli Peyerl & Claudia A. de Mattos, 2025. "Framework for Investment in Electricity Distribution to Enable Energy Transition," Energies, MDPI, vol. 18(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:712-:d:1583350
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    References listed on IDEAS

    as
    1. Bertolini, Marina & Buso, Marco & Greco, Luciano, 2020. "Competition in smart distribution grids," Energy Policy, Elsevier, vol. 145(C).
    2. Blokhuis, Erik & Brouwers, Bart & van der Putten, Eric & Schaefer, Wim, 2011. "Peak loads and network investments in sustainable energy transitions," Energy Policy, Elsevier, vol. 39(10), pages 6220-6233, October.
    3. Miri, Mohammad & McPherson, Madeleine, 2024. "Demand response programs: Comparing price signals and direct load control," Energy, Elsevier, vol. 288(C).
    4. Yael Parag & Benjamin K. Sovacool, 2016. "Electricity market design for the prosumer era," Nature Energy, Nature, vol. 1(4), pages 1-6, April.
    5. Haywood, Luke & Jakob, Michael, 2023. "The role of the emissions trading scheme 2 in the policy mix to decarbonize road transport in the European Union," Transport Policy, Elsevier, vol. 139(C), pages 99-108.
    6. Armendáriz, M. & Heleno, M. & Cardoso, G. & Mashayekh, S. & Stadler, M. & Nordström, L., 2017. "Coordinated microgrid investment and planning process considering the system operator," Applied Energy, Elsevier, vol. 200(C), pages 132-140.
    7. Razmara, M. & Bharati, G.R. & Hanover, Drew & Shahbakhti, M. & Paudyal, S. & Robinett, R.D., 2017. "Building-to-grid predictive power flow control for demand response and demand flexibility programs," Applied Energy, Elsevier, vol. 203(C), pages 128-141.
    8. Ding, Bing & Li, Zening & Li, Zhengmao & Xue, Yixun & Chang, Xinyue & Su, Jia & Jin, Xiaolong & Sun, Hongbin, 2024. "A CCP-based distributed cooperative operation strategy for multi-agent energy systems integrated with wind, solar, and buildings," Applied Energy, Elsevier, vol. 365(C).
    9. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    10. Caetano, Rafaela Vital & Marques, António Cardoso & Afonso, Tiago Lopes & Vieira, Isabel, 2023. "Could Private Investment in Energy Infrastructure soften the environmental impacts of Foreign Direct Investment? An assessment of developing countries," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 961-977.
    11. Wen, Hanguan & Liu, Xiufeng & Yang, Ming & Lei, Bo & Cheng, Xu & Chen, Zhe, 2023. "An energy demand-side management and net metering decision framework," Energy, Elsevier, vol. 271(C).
    12. Robson Porsch Delavechia & Bibiana P. Ferraz & Raul Scapini Weiand & Leonardo Silveira & Maicon Jaderson Silveira Ramos & Laura Lisiane Callai dos Santos & Daniel Pinheiro Bernardon & Rui Anderson Fer, 2023. "Electricity Supply Regulations in South America: A Review of Regulatory Aspects," Energies, MDPI, vol. 16(2), pages 1-33, January.
    13. Daniel Icaza & David Vallejo-Ramirez & Mauricio Siguencia & Luis Portocarrero, 2024. "Smart Electrical Planning, Roadmaps and Policies in Latin American Countries Through Electric Propulsion Systems: A Review," Sustainability, MDPI, vol. 16(23), pages 1-41, December.
    14. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    15. Nick MacMackin, & Miller, Lindsay & Carriveau, Rupp, 2019. "Modeling and disaggregating hourly effects of weather on sectoral electricity demand," Energy, Elsevier, vol. 188(C).
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