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Load flexibility potential across residential, commercial and industrial sectors in Brazil

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  • Dranka, Géremi Gilson
  • Ferreira, Paula

Abstract

The flexibility in grid operations has become a valuable solution to respond to the several problems brought about by the growth of intermittent renewable generation. The use of Demand Response (DR) measures has emerged as a promising option to tackle these challenges. However, to the best of the authors’ knowledge, the assessment of the theoretical DR potential has not yet been fully addressed in the available literature. This paper presents a first attempt to establish the theoretical load flexibility potential for the Brazilian power sector and includes two central issues: (1) a sectoral assessment across the residential, commercial and industrial sectors and (2) a regional analysis by broadly splitting up the Brazilian power system into four main subsystems. Our findings reveal that the overall maximum hourly theoretical DR potential in Brazil is expected to double, increasing from 12.8 GW in 2017 to almost 25.6 GW by 2050. Although the majority of the demand-side response potential seems to lie in the industrial sector, a lower but still substantial potential for the residential and commercial sectors has been also identified. The evidence from this study supports the hypothesis that the commercial sector will have a key role in offering the most valuable load flexibility potential (i.e. when the power system mostly needs). The high expected increase in the overall electricity DR potential for the residential sector is driven mainly by the increase in both the number of households and the number of appliances per house. However, large amounts of flexible loads in the residential sector might not be necessarily available during on-peak times. Findings of this research may be of great assistance for future analyses to identify, for example, the extent to which DR can cost-effectively compete with other supply-side options.

Suggested Citation

  • Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Load flexibility potential across residential, commercial and industrial sectors in Brazil," Energy, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220305909
    DOI: 10.1016/j.energy.2020.117483
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    References listed on IDEAS

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    1. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    2. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
    3. Paterakis, Nikolaos G. & Erdinç, Ozan & Catalão, João P.S., 2017. "An overview of Demand Response: Key-elements and international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 871-891.
    4. Guelpa, Elisa & Marincioni, Ludovica, 2019. "Demand side management in district heating systems by innovative control," Energy, Elsevier, vol. 188(C).
    5. Shariatzadeh, Farshid & Mandal, Paras & Srivastava, Anurag K., 2015. "Demand response for sustainable energy systems: A review, application and implementation strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 343-350.
    6. O׳Connell, Niamh & Pinson, Pierre & Madsen, Henrik & O׳Malley, Mark, 2014. "Benefits and challenges of electrical demand response: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 686-699.
    7. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    8. Dranka, Géremi Gilson & Ferreira, Paula, 2019. "Review and assessment of the different categories of demand response potentials," Energy, Elsevier, vol. 179(C), pages 280-294.
    9. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2020. "Cost-effectiveness of energy efficiency investments for high renewable electricity systems," Energy, Elsevier, vol. 198(C).
    10. Olkkonen, Ville & Ekström, Jussi & Hast, Aira & Syri, Sanna, 2018. "Utilising demand response in the future Finnish energy system with increased shares of baseload nuclear power and variable renewable energy," Energy, Elsevier, vol. 164(C), pages 204-217.
    11. Dranka, Géremi Gilson & Ferreira, Paula, 2018. "Planning for a renewable future in the Brazilian power system," Energy, Elsevier, vol. 164(C), pages 496-511.
    12. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    13. Guelpa, Elisa & Marincioni, Ludovica & Deputato, Stefania & Capone, Martina & Amelio, Stefano & Pochettino, Enrico & Verda, Vittorio, 2019. "Demand side management in district heating networks: A real application," Energy, Elsevier, vol. 182(C), pages 433-442.
    14. Pelda, Johannes & Holler, Stefan, 2019. "Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach," Energy, Elsevier, vol. 180(C), pages 751-762.
    15. 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.
    16. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Towards a smart grid power system in Brazil: Challenges and opportunities," Energy Policy, Elsevier, vol. 136(C).
    17. Hans Christian Gils & Sonja Simon & Rafael Soria, 2017. "100% Renewable Energy Supply for Brazil—The Role of Sector Coupling and Regional Development," Energies, MDPI, vol. 10(11), pages 1-22, November.
    18. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2019. "A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids," Energy, Elsevier, vol. 182(C), pages 729-738.
    19. Pechmann, Agnes & Shrouf, Fadi & Chonin, Max & Steenhusen, Nanke, 2017. "Load-shifting potential at SMEs manufacturing sites: A methodology and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 431-438.
    20. Di Santo, Katia Gregio & Kanashiro, Eduardo & Di Santo, Silvio Giuseppe & Saidel, Marco Antonio, 2015. "A review on smart grids and experiences in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1072-1082.
    21. Gils, Hans Christian, 2016. "Economic potential for future demand response in Germany – Modeling approach and case study," Applied Energy, Elsevier, vol. 162(C), pages 401-415.
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    Citations

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    Cited by:

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    6. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    7. Campos, José & Csontos, Csaba & Munkácsy, Béla, 2023. "Electricity scenarios for Hungary: Possible role of wind and solar resources in the energy transition," Energy, Elsevier, vol. 278(PB).
    8. Priyadharshini Ramu & Sivasankar Gangatharan & Sankar Rangasamy & Lucian Mihet-Popa, 2023. "Categorization of Loads in Educational Institutions to Effectively Manage Peak Demand and Minimize Energy Cost Using an Intelligent Load Management Technique," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
    9. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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