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New commercial arrangements and business models in electricity distribution systems: The case of Brazil

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  • Ramos, Dorel Soares
  • Del Carpio Huayllas, Tesoro Elena
  • Morozowski Filho, Marciano
  • Tolmasquim, Mauricio Tiomno

Abstract

The purpose of this article is to explore some business models suitable for medium- and low-voltage electricity consumers and analyze the risks and opportunities associated with the diffusion of distributed generation. The approach considers demand response mechanisms that contribute to mitigating commercial risks and overcoming the operational challenges arising from large-scale integration of distributed generation. In particular, the study assesses new application opportunities for distributed generation of renewable energy and examines related measures to mitigate possible market risks associated with the intermittency characteristics of this type of sources. This research has a global perspective but focuses on the case of Brazil. The article proposes four business models to address the issues of small consumers (residential and commercial) as part of the demand response program established in the country. Two of these models are found adequate to reflect the current electricity market, but the existing regulations may require some modifications before the other two could be applied. However, these latter models can be applied to more mature markets. Moreover, the article describes a demand response pilot program that is already in operation, which could serve as a platform to preprocess the proposed business models.

Suggested Citation

  • Ramos, Dorel Soares & Del Carpio Huayllas, Tesoro Elena & Morozowski Filho, Marciano & Tolmasquim, Mauricio Tiomno, 2020. "New commercial arrangements and business models in electricity distribution systems: The case of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
  • Handle: RePEc:eee:rensus:v:117:y:2020:i:c:s1364032119306768
    DOI: 10.1016/j.rser.2019.109468
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    as
    1. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    2. Nosratabadi, Seyyed Mostafa & Hooshmand, Rahmat-Allah & Gholipour, Eskandar, 2016. "Stochastic profit-based scheduling of industrial virtual power plant using the best demand response strategy," Applied Energy, Elsevier, vol. 164(C), pages 590-606.
    3. Goulden, Murray & Spence, Alexa & Wardman, Jamie & Leygue, Caroline, 2018. "Differentiating ‘the user’ in DSR: Developing demand side response in advanced economies," Energy Policy, Elsevier, vol. 122(C), pages 176-185.
    4. Stenner, Karen & Frederiks, Elisha R. & Hobman, Elizabeth V. & Cook, Stephanie, 2017. "Willingness to participate in direct load control: The role of consumer distrust," Applied Energy, Elsevier, vol. 189(C), pages 76-88.
    5. Wang, Fei & Xu, Hanchen & Xu, Ti & Li, Kangping & Shafie-khah, Miadreza & Catalão, João. P.S., 2017. "The values of market-based demand response on improving power system reliability under extreme circumstances," Applied Energy, Elsevier, vol. 193(C), pages 220-231.
    6. Luis Alejandro Arias & Edwin Rivas & Francisco Santamaria & Victor Hernandez, 2018. "A Review and Analysis of Trends Related to Demand Response," Energies, MDPI, vol. 11(7), pages 1-24, June.
    7. Zheng Ma & Joy Dalmacio Billanes & Bo Nørregaard Jørgensen, 2017. "Aggregation Potentials for Buildings—Business Models of Demand Response and Virtual Power Plants," Energies, MDPI, vol. 10(10), pages 1-19, October.
    8. Tabrizi, Amir Bashirzadeh & Whale, Jonathan & Lyons, Thomas & Urmee, Tania, 2014. "Performance and safety of rooftop wind turbines: Use of CFD to gain insight into inflow conditions," Renewable Energy, Elsevier, vol. 67(C), pages 242-251.
    9. Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
    10. He, Xian & Keyaerts, Nico & Azevedo, Isabel & Meeus, Leonardo & Hancher, Leigh & Glachant, Jean-Michel, 2013. "How to engage consumers in demand response: A contract perspective," Utilities Policy, Elsevier, vol. 27(C), pages 108-122.
    11. Vuelvas, José & Ruiz, Fredy & Gruosso, Giambattista, 2018. "Limiting gaming opportunities on incentive-based demand response programs," Applied Energy, Elsevier, vol. 225(C), pages 668-681.
    12. Burger, Scott P. & Luke, Max, 2017. "Business models for distributed energy resources: A review and empirical analysis," Energy Policy, Elsevier, vol. 109(C), pages 230-248.
    13. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    14. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.
    15. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
    16. Möllerström, Erik & Gipe, Paul & Beurskens, Jos & Ottermo, Fredric, 2019. "A historical review of vertical axis wind turbines rated 100 kW and above," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 1-13.
    17. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
    18. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    19. Kris Kessels & Carolien Kraan & Ludwig Karg & Simone Maggiore & Pieter Valkering & Erik Laes, 2016. "Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    20. Nosratabadi, Seyyed Mostafa & Hooshmand, Rahmat-Allah & Gholipour, Eskandar, 2017. "A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 341-363.
    21. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
    22. Eid, Cherrelle & Koliou, Elta & Valles, Mercedes & Reneses, Javier & Hakvoort, Rudi, 2016. "Time-based pricing and electricity demand response: Existing barriers and next steps," Utilities Policy, Elsevier, vol. 40(C), pages 15-25.
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    Cited by:

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    2. Schaefer, Jones Luís & Mairesse Siluk, Julio Cezar & Stefan de Carvalho, Patrícia & Maria de Miranda Mota, Caroline & Pinheiro, José Renes & Nuno da Silva Faria, Pedro & Gouvea da Costa, Sergio Eduard, 2023. "A framework for diagnosis and management of development and implementation of cloud-based energy communities - Energy cloud communities," Energy, Elsevier, vol. 276(C).
    3. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Prosumer integration into the Brazilian energy sector: An overview of innovative business models and regulatory challenges," Energy Policy, Elsevier, vol. 161(C).
    4. Nametala, Ciniro Aparecido Leite & Faria, Wandry Rodrigues & Lage, Guilherme Guimarães & Pereira, Benvindo Rodrigues, 2023. "Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment," Utilities Policy, Elsevier, vol. 81(C).
    5. Botelho, D.F. & Dias, B.H. & de Oliveira, L.W. & Soares, T.A. & Rezende, I. & Sousa, T., 2021. "Innovative business models as drivers for prosumers integration - Enablers and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. Sorknæs, P. & Lund, Henrik & Skov, I.R. & Djørup, S. & Skytte, K. & Morthorst, P.E. & Fausto, F., 2020. "Smart Energy Markets - Future electricity, gas and heating markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).

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