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Integrating supply and demand-side management in renewable-based energy systems

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  • Dranka, Géremi Gilson
  • Ferreira, Paula
  • Vaz, A. Ismael F.

Abstract

Demand-Response (DR) has emerged as a valuable resource option for balancing electricity supply and demand. However, traditional power system models have neglected to include DR within long-term expansion problems. We can summarize our scientific contributions in the following aspects: (i) design of a new integrated co-optimization planning model for supply and demand coordination; (ii) assessment of the technical and economic impact of DR for systems with a high share of Renewable Energy Sources (RES) and (iii) proposal of the ‘opportunity cost’ concept for computing the price of not meeting the demand. Findings of this research support the hypothesis that DR scenarios reveal a high potential for delaying future investments in power capacity compared to scenario BAU (Business as Usual). However, it was found a limited potential of DR to integrate additional renewable plants. This research has provided further evidence concerning the potential of DR to decrease the levels of CO2 emissions that is strictly related to the reduced need for fossil fuel thermal power plants. Given the high RES share, uncertainties related to future weather conditions must be however highlighted. This study concludes on the importance of DR for power systems planning and lays the groundwork for future research.

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  • Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "Integrating supply and demand-side management in renewable-based energy systems," Energy, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012263
    DOI: 10.1016/j.energy.2021.120978
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    1. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    2. de Moura, Gustavo Nikolaus Pinto & Legey, Luiz Fernando Loureiro & Howells, Mark, 2018. "A Brazilian perspective of power systems integration using OSeMOSYS SAMBA – South America Model Base – and the bargaining power of neighbouring countries: A cooperative games approach," Energy Policy, Elsevier, vol. 115(C), pages 470-485.
    3. Xiang, Yue & Cai, Hanhu & Gu, Chenghong & Shen, Xiaodong, 2020. "Cost-benefit analysis of integrated energy system planning considering demand response," Energy, Elsevier, vol. 192(C).
    4. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Towards a smart grid power system in Brazil: Challenges and opportunities," Energy Policy, Elsevier, vol. 136(C).
    5. 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.
    6. 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.
    7. Anjo, João & Neves, Diana & Silva, Carlos & Shivakumar, Abhishek & Howells, Mark, 2018. "Modeling the long-term impact of demand response in energy planning: The Portuguese electric system case study," Energy, Elsevier, vol. 165(PA), pages 456-468.
    8. Verzijlbergh, R.A. & De Vries, L.J. & Dijkema, G.P.J. & Herder, P.M., 2017. "Institutional challenges caused by the integration of renewable energy sources in the European electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 660-667.
    9. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    10. Weitemeyer, Stefan & Kleinhans, David & Vogt, Thomas & Agert, Carsten, 2015. "Integration of Renewable Energy Sources in future power systems: The role of storage," Renewable Energy, Elsevier, vol. 75(C), pages 14-20.
    11. Schmidt, Johannes & Cancella, Rafael & Pereira, Amaro O., 2016. "The role of wind power and solar PV in reducing risks in the Brazilian hydro-thermal power system," Energy, Elsevier, vol. 115(P3), pages 1748-1757.
    12. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    13. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
    14. McPherson, Madeleine & Tahseen, Samiha, 2018. "Deploying storage assets to facilitate variable renewable energy integration: The impacts of grid flexibility, renewable penetration, and market structure," Energy, Elsevier, vol. 145(C), pages 856-870.
    15. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    16. Juozas Abaravicius & Jurek Pyrko, 2006. "Load Management from an Environmental Perspective," Energy & Environment, , vol. 17(4), pages 583-601, July.
    17. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Load flexibility potential across residential, commercial and industrial sectors in Brazil," Energy, Elsevier, vol. 201(C).
    18. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    19. Brouwer, Anne Sjoerd & van den Broek, Machteld & Zappa, William & Turkenburg, Wim C. & Faaij, André, 2016. "Least-cost options for integrating intermittent renewables in low-carbon power systems," Applied Energy, Elsevier, vol. 161(C), pages 48-74.
    20. 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.
    21. Satchwell, Andrew & Hledik, Ryan, 2014. "Analytical frameworks to incorporate demand response in long-term resource planning," Utilities Policy, Elsevier, vol. 28(C), pages 73-81.
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