Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30750
Study of Variation of Winds Behavior on Micro Urban Environment with Use of Fuzzy Logic for Wind Power Generation: Case Study in the Cities of Arraial do Cabo and São Pedro da Aldeia, State of Rio de Janeiro, Brazil

Authors: Roberto Rosenhaim, Marcos Antonio Crus Moreira, Robson da Cunha, Gerson Gomes Cunha


This work provides details on the wind speed behavior within cities of Arraial do Cabo and São Pedro da Aldeia located in the Lakes Region of the State of Rio de Janeiro, Brazil. This region has one of the best potentials for wind power generation. In interurban layer, wind conditions are very complex and depend on physical geography, size and orientation of buildings and constructions around, population density, and land use. In the same context, the fundamental surface parameter that governs the production of flow turbulence in urban canyons is the surface roughness. Such factors can influence the potential for power generation from the wind within the cities. Moreover, the use of wind on a small scale is not fully utilized due to complexity of wind flow measurement inside the cities. It is difficult to accurately predict this type of resource. This study demonstrates how fuzzy logic can facilitate the assessment of the complexity of the wind potential inside the cities. It presents a decision support tool and its ability to deal with inaccurate information using linguistic variables created by the heuristic method. It relies on the already published studies about the variables that influence the wind speed in the urban environment. These variables were turned into the verbal expressions that are used in computer system, which facilitated the establishment of rules for fuzzy inference and integration with an application for smartphones used in the research. In the first part of the study, challenges of the sustainable development which are described are followed by incentive policies to the use of renewable energy in Brazil. The next chapter follows the study area characteristics and the concepts of fuzzy logic. Data were collected in field experiment by using qualitative and quantitative methods for assessment. As a result, a map of the various points is presented within the cities studied with its wind viability evaluated by a system of decision support using the method multivariate classification based on fuzzy logic.

Keywords: Sustainable Development, wind power, Fuzzy Logic, behavior of winds

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 775


[1] Fagiani, Riccardo, Julián Barquín, and Rudi Hakvoort. "Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs." Energy policy 55 (2013): 648-661.
[2] MATHEWS, Jonh A. Energizing Industrial Development: The Role of the State in 21st Century Greening Strategies. Revista do Serviço Público, v. 66, p. 29-54, 2015. Cabral, Isabelle, and Rafael Vieira. "Economic viability x environmental viability of photovoltaic energy use in the Brazilian case: an approach in recent years." III Brazilian Congress of Environmental Management. Vol. 19. 2012. (In Portuguese).
[3] Energy Research, EPE-Enterprise. "National Energy Balance 2016: base year 2015." Ministry of Mines and Energy (2016). (In Portuguese).
[4] Dionísio, Felipe c, da Silva, Leandro A., Claudino, Leandro, Bernardes, Matheus, Vacari, Ramon, Rossi, Tavio. Generation of Electricity from Wind Power. 2013. Faculdade Anhanguera Piracicaba (In Portuguese).
[5] McPherson, Ronald D. "A numerical study of the effect of a coastal irregularity on the sea breeze." Journal of applied Meteorology 9.5 (1970): 767-777.
[6] Da Silva, Alfredo Silveira. Effects Of Continental Radiobiology On Distribution Of Local Winds Between The Coast Of Sao Tome And Cable Bay. Masters Dissertation. Universidade Federal Do Rio De Janeiro, 1997.
[7] Ibraimo, M. M., et al. "Genesis and micromorphology of soils under xeric vegetation in the Lakes region, State of Rio de Janeiro (Brazil)." Journal of Soil Science 28.4 (2004): 695-712. (In Portuguese).
[8] Amarante, Odilon Antonio Camargo, Fabiano Jesus Lima da Silva, L. and G. Rios Son. "Wind Atlas of the State of Rio de Janeiro." Rio de Janeiro (2002). (In Portuguese).
[9] Simões, Marcelo Godoy; SHAW, Ian S. Control and modeling fuzzy. São Paulo. Blucher: Fapesp, 2007. .(In Portuguese).
[10] Gomide, Fernando Antonio Campos and Ricardo Ribeiro Gudwin. "Modeling, control systems and fuzzy logic." SBA Control & Automation 4.3 (1994): 97-115. (In Portuguese).
[11] Moreno-Velo F.J.,, 2012. XFSML: An XML-based Modeling Language for Fuzzy Systems Proceedings IEEE International Conference on Fuzzy Systems, Jun. 10-15. Brisbane (Australia).
[12] Rosenhaim, Roberto, et al. “Fuzzy Inference About Wind Resources in Urban Environment”. Boletim do Observatório Ambiental Alberto Ribeiro Lamego. v.9, n. 2 (2015).
[13] Liska, Gilberto Rodrigues, et al. "Wind maximum speed estimates in Piracicaba-SP via Time Series and Extreme Value Theory." Journal of Biometrics, Sao Paulo 31.2 (2013): 295-309. (In Portuguese).
[14] Troen, I.; Petersen, E. L. European wind atlas. Risø national laboratory, Roskilde. Weibull W.(1951). A statistical distribution function of wide applicability. J. Appl. mech, v. 18, p. 293-297, 1989.
[15] Lecheta, Ricardo R. Google Android-3E: Learn how to create applications for mobile devices with the Android SDK. Novatec Editora, 2013. (In Portuguese).
[16] López, D. R., et al. "Xfuzzy: A design environment for fuzzy systems." Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on. Vol. 2. IEEE, 1998.
[17] Mamdani, Ebrahim H., and Sedrak Assilian. "An experiment in linguistic synthesis with a fuzzy logic controller." International journal of man-machine studies 7.1 (1975): 1-13.
[18] Zadeh, Lotfi A. "Fuzzy sets." Information and control 8.3 (1965): 338-353.