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Call for Papers for the semi-thematic N° 67: (Re)defining rural territories, between the global South and North: actors, processes, scales.
Full papers are invited to be submitted via the journal's official platform by 15 March 2024.
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Expansion Scenario for Morro de Chapéu Wind Farm, Bahia, Brazil, Based on Multi-Criteria Modeling
Authors
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Alexis Fernández Sarabia
Universidade Estadual Feira de Santana
https://orcid.org/0000-0001-9869-1476
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Kevin Antonio Tomalá Pérez
Universidade Estadual Feira de Santana
https://orcid.org/0000-0001-6918-6817
-
Taimy Cantillo Pérez
Universidade Estadual Feira de Santana
https://orcid.org/0000-0001-7861-0990
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Rodrigo Nogueira de Vasconcelos
Universidade Estadual Feira de Santana
https://orcid.org/0000-0002-1368-6721
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Deorgia Tayane Mendes de Souza
Universidade Estadual Feira de Santana
https://orcid.org/0000-0001-6791-3611
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Washington De Jesus Sant'anna Franca Rocha
Universidade Estadual Feira de Santana
https://orcid.org/0000-0002-2175-2792
Abstract
Electricity consumption in Brazil increased by 1.5% in 2022 when compared to 2021. The application of wind energy is a potential solution that utilizes natural resources to generate clean energy and has been increasingly adopted in Bahia, while minimizing the negative impacts of the use of fossil fuels. However, expansion scenarios for implementing wind farms require environmental zoning and region characterization studies. Given the economic significance of constructing these energy-generating farms, this study aimed to conduct a multi-criteria analysis to pinpoint potential locations for wind farm expansion in Morro de Chapéu, Bahia. This led to the creation of a suitability map that identifies appropriate sites for the expansion of existing wind farms.
Keywords:
Hierarchical Process Analysis, Fuzzy logic, Geographic Information SystemsReferences
Alameda County Community Development Agency. (2014). Altamont Pass Wind Resource Area Repowing Draft Program Environmental Impact Report. Alameda County Community Development Agency.
Asadi, M., Pourhossein, K. e Mohammadi-Ivatloo, B. (2023). GIS-assisted Modeling of Wind Farm Site Selection Based on Support Vector Regression. Journal of Cleaner Production, 390, 135993. https://doi.org/10.1016/j.jclepro.2023.135993
Atlas de Eficiência Energética Brasil. (2022). Atlas de de Eficiência Energética Brasil.
Ayala, N.F. e Frank, A.G. (9 ao 11 de junho de 2013). Métodos de análise multicriterial: Uma revisão das forças e fraquezas. Em XIII SEPROSUL. Semana de Engenharia de Produção Sul Americana. Gramado, Brasil. http://hdl.handle.net/10183/196504
Ayodele, T.R., Ogunjuyigbe, A.S.O., Odigie, O. e Munda, J.L. (2018). A Multi-criteria GIS Based Model for Wind Farm Site Selection Using Interval Type-2 Fuzzy Analytic Hierarchy Process: The Case Study of Nigeria. Applied Energy, 229, 739-753. https://doi.org/10.1016/j.apenergy.2018.07.051
Badi, I., Pamucar, D., Gigović, L. e Tatomirović, S. (2021). Optimal Site Selection for Sitting a Solar Park Using a Novel GIS-SWA’TEL Model: A Case Study in Libya. International Journal of Green Energy, 18(4), 336-350. https://doi.org/10.1080/15435075.2020.1854264
Bennui, A., Rattanamanee, P., Puetpaiboon, U., Phukpattaranont, P. e Chetpattananondh, K. (10 e 11 de maio de 2007). Site Selection for Large Wind Turbine Using GIS. Em PSU-UNS International Conference on Engineering and Environment. Prince of Songkla University. Hat Yai, Tailândia.
Borissova, D. (2024). Decision-Making in Wind Farm Design. Em D. Borissova, Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy (pp. 97-163). Springer. https://doi.org/10.1007/978-3-031-52219-2_3
Borja, L.P., Beltrão, N.E.S., Gemaque, A.M.S. e Tavares, P.A. (2018). Analytical Hierarchical Process (AHP) in the GIS Environment: Issues and Applications for Decision Making Using Spatial Criteria. Interações (Campo Grande), 20(2), 407-426. https://doi.org/10.20435/inter.v20i2.1856
Brasil. (2000). Lei N° 9.985, de 18 de julho de 2000. Sistema Nacional de Unidades de Conservação da Natureza – SNUC. Governo Federal. https://www.ceivap.org.br/ligislacao/Leis-Federais/Lei-Federal-9985.pdf
Bronzatti, F.L. e Iarozinski Neto, A. (13 ao 16 de outubro de 2008). Matrizes energéticas no Brasil: Cenário 2010-2030. Em XXVIII Encontro Nacional de Engenharia de Produção. Rio de Janeiro, Brasil. http://www.abepro.org.br/biblioteca/enegep2008_TN_STO_077_541_11890.pdf
Câmara de Comercialização de Energia Elétrica (CCEE) (1 de fevereiro de 2023). Consumo brasileiro de energia elétrica subiu 1,5% em 2022, mostra balanço da CCEE. CCEE. https://www.ccee.org.br/pt/web/guest/-/consumo-brasileiro-de-energia-eletrica-subiu-1-5-em-2022-mostra-balanco-da-ccee
Carvalho, L.T.F., Andrade, L.P. e da Silva, L.R.S. (2023). Impactos ambientais e climáticos da implantação de Usinas eólicas: Revisão sistemática. Diversitas Journal, 8(4), 2846-2856. https://doi.org/10.48017/dj.v8i4.2495
Da Silva, V.P. e Galvão, M.L.D.M. (2022). Onshore Wind Power Generation and Sustainability Challenges in Northeast Brazil: A Quick Scoping Review. Wind, 2(2), 192-209. https://doi.org/10.3390/wind2020011
Díaz-Cuevas, P., Haddad, B., e Fernandez-Nunez, M. (2021). Energy for the Future: Planning and Mapping Renewable Energy. The Case of Algeria. Sustainable Energy Technologies and Assessments, 47, 101445. https://doi.org/10.1016/j.seta.2021.101445
Empresa de Pesquisa Energética. (2022). Atlas de Eficiência Energética Brasil 2022. Rio de Janeiro: EPE. Disponível em: https://www.epe.gov.br/pt/publicacoes-dados-abertos/publicacoes/atlas-da-eficiencia-energetica-brasil
Empresa de Pesquisa Energética (EPE) (2023). BEN - Balanço Energético Nacional 2023. https://www.epe.gov.br/pt/publicacoes-dados-abertos/publicacoes/balanco-energetico-nacional-2023
Franco, R.A.M., Hernández, F.B.T. e Moraes, J.F.L. (13 ao 18 de abril de 2013). O uso da análise multicritério para a definição de áreas prioritárias na restauração de Área de Preservação Permanente (APP), no noroeste paulista. Em XVI Simpósio Brasileiro de Sensoriamento Remoto – SBSR. INPE. Foz do Iguaçu, Brasil.
Gonçalves Júnior, E.R., Rangel, I.C., Tavares, A.R.T., Figueira Júnior, E.G., Erthal Junior M. e Souza, C.L.M. (2020). Multi-criteria Assessment of Potential Regions for Wind Power Generation in the State of Rio de Janeiro. Gestão & Produção, 27(3), e4747. https://doi.org/10.1590/0104-530X4747-20
Janke, J.R. (2010). Multicriteria GIS Modeling of Wind and Solar Farms in Colorado. Renewable Energy, 35(10), 2228-2234. https://doi.org/10.1016/j.renene.2010.03.014
Liu, H., Liu, Y., Wang, C., Zhao, W. e Liu, S. (2021). Landscape Pattern Change Simulations in Tibet Based on the Combination of the SSP-RCP Scenarios. Journal of Environmental Management, 292(112783). https://doi.org/10.1016/j.jenvman.2021.112783
Malczewski J. (2006). GIS-based Multicriteria Decision Analysis: A Survey of the Literature. International Journal of Geographical Information Science, 20(7), 703-726. https://doi.org/10.1080/13658810600661508
Mokarram, M., Pourghasemi, H.R. e Mokarram, M.J. (2022). A Multi-criteria GIS-based Model for Wind Farm Site Selection with the Least Impact on Environmental Pollution Using the OWA-ANP Method. Environmental Science and Pollution Research, 29, 43891-43912. https://doi.org/10.1007/s11356-022-18839-2
Moradi, S., Yousefi, H., Noorollahi, Y. e Rosso, D. (2020). Multi-criteria Decision Support System for Wind Farm Site Selection and Sensitivity Analysis: Case Study of Alborz Province, Iran. Energy Strategy Reviews, 29, 100478. https://doi.org/10.1016/j.esr.2020.100478
Rekik, S. e El Alimi, S. (2024). A Spatial Perspective on Renewable Energy Optimization: Case Study of Southern Tunisia Using GIS and Multicriteria Decision Making. Energy Exploration & Exploitation, 42(1), 265-291. https://doi.org/10.1177/01445987231210962
Roscher, B., Mortimer, P., Schelenz, R., Jacobs, G. e Baseer, A. (2020). Optimizing a Wind Farm Layout Considering Access Roads. Journal of Physics Conference Series, 1618(4), 042014. http://dx.doi.org/10.1088/1742-6596/1618/4/042014
Saaty, R.W. (1987). The Analytic Hierarchy Process—What it is and How it is Used. Mathematical Modelling, 9(3-5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty, T.L. (1990). How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty, T.L. (2005). The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-making. Em J. Figueira, S. Grec e M. Ehrgott (Eds.), Multiple Criteria Decision Analysis: State of the art surveys (pp. 345-405). Kluwer Academic Publishers.
Santos, A.Á.B., Camargo, O., Back, A., Silva, F., Catani, F., Estante, F. e Neves, P.R.F. (2013). Atlas eólico Bahia. SEINFRA.
Smallwood, K.S. e Bell, D.A. (2020). Effects of Wind Turbine Curtailment on Bird and Bat Fatalities. Journal of Wildlife Management, 84(4), 681-690. https://doi.org/10.1002/jwmg.21844
Turkovska, O., Castro, G., Klingler, M., Nitsch, F., Regner, P., Soterroni, A.C. e Schmidt, J. (2021). Land-use Impacts of Brazilian Wind Power Expansion. Environmental Research Letters, 16(2), 024010. http://dx.doi.org/10.1088/1748-9326/abd12f
USAID (2009). Elementos para la promoción de la energía eólica en México. U.S. Agency for International Development and PA Government Services.
Wang, S., Liu, X., Liang, X., Li, X., Xu, X., Ou, J., Chen, Y., Li, S. e Pei, F. (2017). A Future Land Use Simulation Model (FLUS) for Simulating Multiple Land Use Scenarios by Coupling Human and Natural Effects. Landscape and Urban Planning, 168, 94-116. https://doi.org/10.1016/j.landurbplan.2017.09.019
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