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Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model

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  • Miranda, Raul
  • Simoes, Sofia
  • Szklo, Alexandre
  • Schaeffer, Roberto

Abstract

Onshore wind and solar-photovoltaic-based electricity are expected to drive most of the global growth in renewable energy sources capacity until 2020. This creates a challenge for properly modelling such intermittent variable resources since: (i) their availability varies spatially and temporally and (ii) thus, their integration in power systems is determined by the configuration of transmission grids. Large energy system models usually adopt simplified approaches for modelling wind and solar photovoltaic (PV) deployment and the power grid. This paper uses the recently developed TIMES-Brazil optimisation model to study the role of transmission bottlenecks in cost-effective long-term deployment of wind and solar power in the Brazilian energy system up to 2050. The model explicitly models the grid infrastructure of 29 regions in Brazil differentiated according to existing power plants, wind and solar availabilities, future RES potentials and power demand. Three different scenarios (Free Trade, Simplified Trade and Detailed Trade), with increasingly more detail in modelling electricity transmission lines, were tested. Findings show that a more detailed transmission infrastructure significantly affects capacity deployments and electricity prices. The grid connecting the North and South of Brazil was found to be the most important bottleneck affecting the deployment of solar in the country.

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  • Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:791-803
    DOI: 10.1016/j.energy.2018.11.036
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    1. Lion Hirth & Falko Ueckerdt & Ottmar Edenhofer, 2014. "Why Wind Is Not Coal: On the Economics of Electricity," Working Papers 2014.39, Fondazione Eni Enrico Mattei.
    2. Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
    3. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.
    4. Collins, Seán & Deane, John Paul & Poncelet, Kris & Panos, Evangelos & Pietzcker, Robert C. & Delarue, Erik & Ó Gallachóir, Brian Pádraig, 2017. "Integrating short term variations of the power system into integrated energy system models: A methodological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 839-856.
    5. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Decarbonization scenarios for the EU and MENA power system: Considering spatial distribution and short term dynamics of renewable generation," Energy Policy, Elsevier, vol. 47(C), pages 282-290.
    6. Collins, Seán & Deane, J.P. & Ó Gallachóir, Brian, 2017. "Adding value to EU energy policy analysis using a multi-model approach with an EU-28 electricity dispatch model," Energy, Elsevier, vol. 130(C), pages 433-447.
    7. Lucena, André F.P. & Clarke, Leon & Schaeffer, Roberto & Szklo, Alexandre & Rochedo, Pedro R.R. & Nogueira, Larissa P.P. & Daenzer, Kathryn & Gurgel, Angelo & Kitous, Alban & Kober, Tom, 2016. "Climate policy scenarios in Brazil: A multi-model comparison for energy," Energy Economics, Elsevier, vol. 56(C), pages 564-574.
    8. Simoes, Sofia & Nijs, Wouter & Ruiz, Pablo & Sgobbi, Alessandra & Thiel, Christian, 2017. "Comparing policy routes for low-carbon power technology deployment in EU – an energy system analysis," Energy Policy, Elsevier, vol. 101(C), pages 353-365.
    9. Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
    10. Portugal-Pereira, Joana & Köberle, Alexandre C. & Soria, Rafael & Lucena, André F.P. & Szklo, Alexandre & Schaeffer, Roberto, 2016. "Overlooked impacts of electricity expansion optimisation modelling: The life cycle side of the story," Energy, Elsevier, vol. 115(P2), pages 1424-1435.
    11. Malagueta, Diego & Szklo, Alexandre & Borba, Bruno Soares Moreira Cesar & Soria, Rafael & Aragão, Raymundo & Schaeffer, Roberto & Dutra, Ricardo, 2013. "Assessing incentive policies for integrating centralized solar power generation in the Brazilian electric power system," Energy Policy, Elsevier, vol. 59(C), pages 198-212.
    12. Simoes, Sofia & Zeyringer, Marianne & Mayr, Dieter & Huld, Thomas & Nijs, Wouter & Schmidt, Johannes, 2017. "Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria," Renewable Energy, Elsevier, vol. 105(C), pages 183-198.
    13. Komiyama, Ryoichi & Fujii, Yasumasa, 2014. "Assessment of massive integration of photovoltaic system considering rechargeable battery in Japan with high time-resolution optimal power generation mix model," Energy Policy, Elsevier, vol. 66(C), pages 73-89.
    14. Rombauts, Yannick & Delarue, Erik & D’haeseleer, William, 2011. "Optimal portfolio-theory-based allocation of wind power: Taking into account cross-border transmission-capacity constraints," Renewable Energy, Elsevier, vol. 36(9), pages 2374-2387.
    15. Dutra, Ricardo & Szklo, Alexandre, 2008. "Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods," Renewable Energy, Elsevier, vol. 33(12), pages 2507-2515.
    16. 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.
    17. Schmidt, J. & Lehecka, G. & Gass, V. & Schmid, E., 2013. "Where the wind blows: Assessing the effect of fixed and premium based feed-in tariffs on the spatial diversification of wind turbines," Energy Economics, Elsevier, vol. 40(C), pages 269-276.
    18. Labriet, Maryse & Kanudia, Amit & Loulou, Richard, 2012. "Climate mitigation under an uncertain technology future: A TIAM-World analysis," Energy Economics, Elsevier, vol. 34(S3), pages 366-377.
    19. Pedro R. R. Rochedo & Britaldo Soares-Filho & Roberto Schaeffer & Eduardo Viola & Alexandre Szklo & André F. P. Lucena & Alexandre Koberle & Juliana Leroy Davis & Raoni Rajão & Regis Rathmann, 2018. "The threat of political bargaining to climate mitigation in Brazil," Nature Climate Change, Nature, vol. 8(8), pages 695-698, August.
    20. Fragkos, Panagiotis & Tasios, Nikos & Paroussos, Leonidas & Capros, Pantelis & Tsani, Stella, 2017. "Energy system impacts and policy implications of the European Intended Nationally Determined Contribution and low-carbon pathway to 2050," Energy Policy, Elsevier, vol. 100(C), pages 216-226.
    21. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
    22. Soria, Rafael & Lucena, André F.P. & Tomaschek, Jan & Fichter, Tobias & Haasz, Thomas & Szklo, Alexandre & Schaeffer, Roberto & Rochedo, Pedro & Fahl, Ulrich & Kern, Jürgen, 2016. "Modelling concentrated solar power (CSP) in the Brazilian energy system: A soft-linked model coupling approach," Energy, Elsevier, vol. 116(P1), pages 265-280.
    23. Soria, Rafael & Portugal-Pereira, Joana & Szklo, Alexandre & Milani, Rodrigo & Schaeffer, Roberto, 2015. "Hybrid concentrated solar power (CSP)–biomass plants in a semiarid region: A strategy for CSP deployment in Brazil," Energy Policy, Elsevier, vol. 86(C), pages 57-72.
    24. Suomalainen, K. & Silva, C. & Ferrão, P. & Connors, S., 2013. "Wind power design in isolated energy systems: Impacts of daily wind patterns," Applied Energy, Elsevier, vol. 101(C), pages 533-540.
    25. Miranda, Raul F.C. & Szklo, Alexandre & Schaeffer, Roberto, 2015. "Technical-economic potential of PV systems on Brazilian rooftops," Renewable Energy, Elsevier, vol. 75(C), pages 694-713.
    26. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
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