IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i3p712-d1583350.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/3/712/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/3/712/
    Download Restriction: no
    ---><---

    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).
    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. Haupt, Leon & Schöpf, Michael & Wederhake, Lars & Weibelzahl, Martin, 2020. "The influence of electric vehicle charging strategies on the sizing of electrical energy storage systems in charging hub microgrids," Applied Energy, Elsevier, vol. 273(C).
    2. Brucke, Karoline & Schlüters, Sunke & Hanke, Benedikt & Agert, Carsten & von Maydell, Karsten, 2025. "System friendliness of distributed resources in sustainable energy systems," Applied Energy, Elsevier, vol. 377(PC).
    3. Mohd Bilal & Pitshou N. Bokoro & Gulshan Sharma & Giovanni Pau, 2024. "A Cost-Effective Energy Management Approach for On-Grid Charging of Plug-in Electric Vehicles Integrated with Hybrid Renewable Energy Sources," Energies, MDPI, vol. 17(16), pages 1-35, August.
    4. Chen, Yongbao & Chen, Zhe & Xu, Peng & Li, Weilin & Sha, Huajing & Yang, Zhiwei & Li, Guowen & Hu, Chonghe, 2019. "Quantification of electricity flexibility in demand response: Office building case study," Energy, Elsevier, vol. 188(C).
    5. Carattini, Stefano & Gillingham, Kenneth & Meng, Xiangyu & Yoeli, Erez, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 340-370.
    6. Wang, Dongxue & Fan, Ruguo & Yang, Peiwen & Du, Kang & Xu, Xiaoxia & Chen, Rongkai, 2024. "Research on floating real-time pricing strategy for microgrid operator in local energy market considering shared energy storage leasing," Applied Energy, Elsevier, vol. 368(C).
    7. Shan, Kui & Wang, Shengwei & Zhuang, Chaoqun, 2021. "Controlling a large constant speed centrifugal chiller to provide grid frequency regulation: A validation based on onsite tests," Applied Energy, Elsevier, vol. 300(C).
    8. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    9. Mukherjee, Monish & Hardy, Trevor & Fuller, Jason C. & Bose, Anjan, 2022. "Implementing multi-settlement decentralized electricity market design for transactive communities with imperfect communication," Applied Energy, Elsevier, vol. 306(PA).
    10. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    11. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2021. "Cooperative negawatt P2P energy trading for low-voltage distribution networks," Applied Energy, Elsevier, vol. 299(C).
    12. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
    13. Morovat, Navid & Athienitis, Andreas K. & Candanedo, José Agustín & Nouanegue, Hervé Frank, 2024. "Heuristic model predictive control implementation to activate energy flexibility in a fully electric school building," Energy, Elsevier, vol. 296(C).
    14. Haixia Gu & Gaojun Liu & Jixue Li & Hongyun Xie & Hanguan Wen, 2023. "A Framework Based on Deep Learning for Predicting Multiple Safety-Critical Parameter Trends in Nuclear Power Plants," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    15. Wilkinson, Sam & Maticka, Martin J. & Liu, Yue & John, Michele, 2021. "The duck curve in a drying pond: The impact of rooftop PV on the Western Australian electricity market transition," Utilities Policy, Elsevier, vol. 71(C).
    16. Monyei, Chukwuka G. & Akpeji, Kingsley O. & Oladeji, Olamide & Babatunde, Olubayo M. & Aholu, Okechukwu C. & Adegoke, Damilola & Imafidon, Justus O., 2022. "Regional cooperation for mitigating energy poverty in Sub-Saharan Africa: A context-based approach through the tripartite lenses of access, sufficiency, and mobility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    17. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Integrated prosumers–DSO approach applied in peer-to-peer energy and reserve tradings considering network constraints," Applied Energy, Elsevier, vol. 317(C).
    18. Karlson Hargroves & Benjamin James & Joshua Lane & Peter Newman, 2023. "The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review," Energies, MDPI, vol. 16(10), pages 1-15, May.
    19. Daniel Wuebben & Jens F. Peters, 2022. "Communicating the Values and Benefits of Home Solar Prosumerism," Energies, MDPI, vol. 15(2), pages 1-19, January.
    20. Duarte Kazacos Winter & Rahul Khatri & Michael Schmidt, 2021. "Decentralized Prosumer-Centric P2P Electricity Market Coordination with Grid Security," Energies, MDPI, vol. 14(15), pages 1-17, August.

    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:18:y:2025:i:3:p:712-:d:1583350. 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.