MODELLING HIGHLY RENEWABLE SYSTEMS
INTEGRATION OF WIND AND SOLAR ENERGY IN BRAZIL IN 2050
DOI:
https://doi.org/10.59627/cbens.2024.2415Keywords:
Solar Energy, Wind Energy, Power systemsAbstract
This study investigated solutions for the power system considering the demand for 2050 and using energy system models that minimize costs. Physical aspects such as the available area were considered, in addition to the inclusion of high-resolution time series. The results obtained indicate that the installed capacity in Brazil until 2050 varies between 353 and 428 GW depending on the weather year considered, with a predominance of wind and solar farms. Regarding wind capacity, the study presents an average that varies from 147 to 192 GW. For solar energy, the numbers vary between 57 and 75 GW. The results indicate that most of the installed solar energy capacity is concentrated in São Paulo, followed by Minas Gerais, Bahia and Rio de Janeiro, states with high electricity demand. The study also emphasizes the need for technological and spatial diversity to ensure energy security, highlighting that there is no single technological path to achieving highly renewable systems. Wind energy is considered the most competitive in terms of levelized cost, due to its more constant generation compared to solar parks, but it faces seasonal challenges that are offset by solar energy.
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References
Armijo, J.; Philibert, C. , 2020. Flexible production of green hydrogen and ammonia from variable solar and wind energy: Case study of Chile and Argentina. International Journal of Hydrogen Energy, v. 45, n. 3, p. 1541–1558,. ISSN 0360-3199.
Borba, P. C. S.; Sousa, W. C.; Shadman, M.; Pfenninger, S., 2023. Enhancing drought resilience and energy security through complementing hydro by offshore wind power—the case of Brazil. Energy Conversion and Management, v. 277, p. 116616. ISSN 0196-8904.
Brannstrom, C.; Gorayeb, A.; De Sousa Mendes, J.; Loureiro, C.; Meireles, A. J. De A.; Silva, E. V. Da; Freitas, A. L. R. De; Oliveira, R. F. de., 2017. Is Brazilian wind power development sustainable? Insights from a review of conflicts in Ceará state. Renewable and Sustainable Energy Reviews, v. 67, p. 62–71. ISSN 1364-0321.
Bridge, G.; Bouzarovski, S.; Bradshaw, M.; Eyre, N. , 2013 Geographies of energy transition: Space, place and the low-carbon economy. Energy Policy, v. 53, p. 331–340. ISSN 0301-4215.
Corrêa da Silva, R.; de Marchi Neto, I.; Silva Seifert, S. , 2016. Electricity supply security and the future role of renewable energy sources in Brazil. Renewable and Sustainable Energy Reviews, v. 59, p. 328–341. ISSN 1364-0321.
Dranka, G. G.; Ferreira, P. Planning for a renewable future in the Brazilian power system, 2018. Energy, v. 164, p. 496–511. ISSN 0360-5442.
EPE, 2020. Plano Nacional de Energia 2050. Disponível em: https://www.epe.gov.br-/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-227-/topico-563/Relatorio%20Final%20do%20PNE%202050.pdf.
Guan, J., 2023. The impact of onshore wind farms on ecological corridors in Ningbo, China. Environmental Research Communications, IOP Publishing, v. 5, n. 1, p. 015006..
Gurobi Optimization, LLC. Gurobi Optimizer Reference Manual. 2023. Disponível em: https://www.gurobi.com
Ferreira, L.; Otto, R.; Silva, F.; De Souza, S.; De Souza, S.; Ando Junior, O. 2018. Review of the energy potential of the residual biomass for the distributed generation in Brazil. Renewable and Sustainable Energy Reviews, v. 94, p. 440–455. ISSN 1364-0321.
Latinopoulos, D.; Kechagia, K., 2015. A GIS-based multi-criteria evaluation for wind farm site selection. a regional scale application in Greece. Renewable Energy, v. 78, p. 550 – 560.
Le Tourneau, F.-M., 2015 The sustainability challenges of indigenous territories in Brazil’s Amazonia. Current Opinion in Environmental Sustainability, v. 14, p. 213–220, open Issue. ISSN 1877-3435.
Min, D.; Ryu, J. Hyun; CHOI, D. G., 2018. A long-term capacity expansion planning model for an electric power system integrating large-size renewable energy technologies. Computers Operations Research, v. 96, p. 244–255. ISSN 0305-0548.
NREL. 2023 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies. 2023. https://data.openei.org/submissions/4129. [Online; acesso em 24-Ago-2023]
ONS. Data: Carga e geração. 2019. Http://www.ons.org.br/paginas/energia-agora/carga-e-geracao. [Online; acesso 24-Mar-2022].
ONS. Curva de carga horária. 2020. http://www.ons.org.br/Paginas/ resultados-da-operacao/historico-da-operacao/curva_carga_horaria.aspx. [Online; acesso 08-Jun-2020].
Pfenninger, S.; Pickering, B.,2016 Calliope: a multi-scale energy systems modelling framework. Journal of Open Source Software, The Open Journal, v. 3, n. 29, p. 825, 2018. Disponível em: https://doi.org/10.21105/joss.00825.
Pfenninger, S.; Staffell, I., 2017. Long-term patterns of european pv output using 30 years of validated hourly reanalysis and satellite data. Energy, v. 114, p. 1251–1265.
Saganeiti, L.; Pilogallo, A., 2020. Faruolo, G.; Scorza, F.; Murgante, B. Territorial fragmentation and renewable energy source plants: Which relationship? Sustainability, v. 12, n. 5.. ISSN 2071-1050.
Wang, N.; Verzijlbergh, R. A.; Heijnen, P. W.; Herder, P. M, 2020.. A spatially explicit planning approach for power systems with a high share of renewable energy sources. Applied Energy, v. 260, p. 114233. ISSN 0306-2619.
Zeyringer, M., 2018. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nature Energy, v. 3, p. 2058–7546
