10.1186/2251-6832-4-43

Assessment of micro-wind turbines performance in the urban environments: an aided methodology through geographical information systems

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  • Antonio Gagliano*1,
  • Francesco Nocera1,
  • Francesco Patania1,
  • Alfonso Capizzi1,
  1. Department of Industrial Engineering, University of Catania, Catania, 95125, IT
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Published in Issue 2013-11-27

How to Cite

Gagliano, A., Nocera, F., Patania, F., & Capizzi, A. (2013). Assessment of micro-wind turbines performance in the urban environments: an aided methodology through geographical information systems. International Journal of Energy and Environmental Engineering, 4(1 (December 2013). https://doi.org/10.1186/2251-6832-4-43
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Abstract

Abstract Among renewable energy sources, the electrical generation from micro-wind turbines has not yet disclosed its huge potential especially in urban settings. Increasing the spread of micro-wind turbines not only promotes the decentralized generation of energy, but also helps tackle fuel poverty and to achieve reductions in the emission of greenhouse gases (GHGs). This work proposes an innovative methodology to exploit wind flow fields, calculated by means of computational fluid dynamic (CFD) codes in urban environments, within the geographical information system (GIS) platform. In this way, the platform of users is amplified, even non-specialist users, that can utilize wind data to evaluate the potential production of electricity using micro-wind turbines. A pilot study was conducted for assessing the applicability of the approach in a Sicilian city. The results of this case study show the energy yield produced from a building-mounted wind turbine (BUWT). The developed methodology permits to enrich the information usually stored in the GIS platform allowing to supply useful information about suitable sites where micro-wind energy plants can be installed and to assess the production of renewable energy in the urban settings.

Keywords

  • Renewable energy,
  • Urban environment,
  • Wind turbine,
  • GIS
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References

  1. Bergman and Eyre (2011) What role for microgeneration in a shift to a low carbon domestic energy sector in the UK? (pp. 335-353) https://doi.org/10.1007/s12053-011-9107-9
  2. Bahaj et al. (2007) Urban energy generation: influence of micro-wind turbine output on electricity consumption in buildings (pp. 154-165) https://doi.org/10.1016/j.enbuild.2006.06.001
  3. Peacock et al. (2008) Micro wind turbines in the UK domestic sector (pp. 1324-1333) https://doi.org/10.1016/j.enbuild.2007.12.004
  4. Medrano et al. (2008) A methodology for developing distributed generation scenarios in urban areas using geographical information systems (pp. 413-434) https://doi.org/10.1504/IJETP.2008.019958
  5. Voivontas et al. (1998) Evaluation of renewable energy potential using a GIS decision support system (pp. 333-344) https://doi.org/10.1016/S0960-1481(98)00006-8
  6. Byrne et al. (2007) Evaluating the potential of small-scale renewable energy options to meet rural livelihoods needs: A GIS- and lifecycle cost-based assessment of Western China's options (pp. 4391-4401) https://doi.org/10.1016/j.enpol.2007.02.022
  7. Caiaffa et al. (2012) Study of sustainability of renewable energy sources through GIS analysis techniques (pp. 532-547)
  8. Gagliano et al. (2012) A proposed methodology for estimating the performance of small wind turbines in urban areas (pp. 539-548) Springer
  9. Gagliano et al. (2013) GIS-based decision support for solar photovoltaic planning in urban environment (pp. 865-874) Springer
  10. Caputo et al. (2013) A supporting method for defining energy strategies in the building sector at urban scale (pp. 261-270) https://doi.org/10.1016/j.enpol.2012.12.006
  11. Verma (2013)
  12. Allen et al. (2008) Prospects for and barriers to domestic micro-generation: a United Kingdom perspective (pp. 528-544)
  13. Acosta et al. (2012) Performance assessment of micro and small-scale wind turbines in urban areas (pp. 152-162)
  14. Bussel GJW, Mertens SM: Small wind turbines for the built environment. In
  15. Proceedings of the 4th European and Asian Wind Engineering Conference
  16. . Prague; 11–15 July 2005 11–15 July 2005
  17. RSE: Atlante Eolico Interattivo..
  18. http://atlanteeolico.rse-web.it/viewer.htm
  19. . Accessed 10 May 2013
  20. NREL: Dynamic maps, GIS data, & analysis tools.
  21. http://www.nrel.gov/gis/wind.html
  22. . Accessed 10 May 2013
  23. Burton et al. (2001) Wiley https://doi.org/10.1002/0470846062
  24. Carta and Ramirez (2007) Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions (pp. 518-531) https://doi.org/10.1016/j.renene.2006.05.005
  25. Bhattacharya and Bhattacharjee (2010) A study on Weibull distribution for estimating the parameters (pp. 234-241)
  26. Akdag et al. (2010) Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean (pp. 2566-2573) https://doi.org/10.1016/j.apenergy.2010.02.033
  27. Oyedepo et al. (2012) Analysis of wind speed data and wind energy potential in three selected locations in south-east Nigeria (pp. 1-11) https://doi.org/10.1186/2251-6832-3-1
  28. Costa Rocha et al. (2012) Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast of Brazil (pp. 395-400) https://doi.org/10.1016/j.apenergy.2011.08.003
  29. Chang (2011) Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application (pp. 272-282) https://doi.org/10.1016/j.apenergy.2010.06.018
  30. Mertens et al. (2003) Performance of an H-Darrieus in the skewed flow on a roof (pp. 433-440) https://doi.org/10.1115/1.1629309
  31. Li et al. (2011) Domestic application of micro wind turbines in Ireland: investigation of their economic viability (pp. 64-74) https://doi.org/10.1016/j.renene.2011.10.001
  32. Patania et al. (2011) The noise pollution in nature protected area of the Pergusa Lake (pp. 52-67) https://doi.org/10.2495/DNE-V6-N1-52-67
  33. Tina et al. (2006) Hybrid solar/wind power system probabilistic modelling for long-term performance assessment (pp. 578-588) https://doi.org/10.1016/j.solener.2005.03.013
  34. Lopes (2003) Windstation a software for the simulation of atmospheric flows over complex topography (pp. 81-96) https://doi.org/10.1016/S1364-8152(02)00024-5
  35. Araújo et al. (2013) An approach to simulate wind fields around an urban environment for wind energy application (pp. 33-50) https://doi.org/10.1007/s10652-012-9258-z
  36. Patania et al. (2006) An applied research to forecast the trend of air pollution in particular geometries of streets: the real case of urban canyon (pp. 33-44)
  37. Li et al. (2006) Recent progress in CFD modelling of wind field and pollutant transport in street canyons (pp. 5640-5658) https://doi.org/10.1016/j.atmosenv.2006.04.055
  38. Yoshie et al. (2005) Cross comparisons of CFD prediction for wind environment at pedestrian level around buildings. Part 1: comparison of results for flow-field around a high-rise building located in surrounding city blocks
  39. EERE: Virtualwind.
  40. http://apps1.eere.energy.gov/buildings/tools_directory/software.cfm/ID=579/pagename=alpha_list_sub?print
  41. . Accessed November 2013
  42. Sagaut (2006) Springer
  43. McLean W: Poisson solvers.
  44. http://www.cs.northwestern.edu/~jet/Teach/2004_3spr_IBMR/poisson.pdf
  45. . Accessed July 2013
  46. Ledo et al. (2011) Roof mounting site analysis for micro-wind turbines 36(5) (pp. 1379-1391) https://doi.org/10.1016/j.renene.2010.10.030
  47. Blackmore (2008) IHS BRE Press
  48. Rafailidis (1997) Influence of building areal density and roof shape on the wind characteristics above a town 85(2) (pp. 255-271) https://doi.org/10.1023/A:1000426316328
  49. Abohela I, Hamza N, Dudek S: Effect of roof shape on energy yield and positioning of roof mounted wind turbines. In
  50. Proceedings of 12th Conference of International Building Performance Simulation Association
  51. . Sydney; 14–16 November 2011 14–16 November 2011
  52. Mertens (2006) Multi-Science Publishing Co. Ltd.
  53. Sáenz-Díez Muro JC, Jiménez Macías E, Blanco Barrero JM, Pérez De La Parte M, Blanco Fernández J: Two-dimensional model of wind flow on buildings to optimize the implementation of mini wind turbines in urban spaces. In
  54. ICREPQ’10
  55. . Granada; 23–25 March 2010 23–25 March 2010
  56. Paterson and Apelt (1989) Simulation of wind flow around three-dimensional buildings (pp. 39-50) https://doi.org/10.1016/0360-1323(89)90015-2
  57. Yoshie et al. (2007) Cooperative Project for CFD Prediction of Pedestrian Wind Environment in the Architectural Institute of Japan (pp. 1551-1578) https://doi.org/10.1016/j.jweia.2007.02.023
  58. Chew (1989) Constrained Delaunay triangulations (pp. 97-108) https://doi.org/10.1007/BF01553881
  59. ESRI: ArcGIS desktop tutorials.
  60. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=tutorials
  61. . Accessed 10 May 2013
  62. EERE: Building Energy software tools directory.
  63. http://apps1.eere.energy.gov/buildings/tools_directory/software.cfm/ID=579/pagename_submenu=solar_climate_analysis/pagename_menu=other_applications/pagename=subjects
  64. . Accessed July 2013
  65. NOABL: Wind speed database. (accessed).
  66. http://www.decc.gov.uk/en/content/cms/meeting_energy/wind/windsp_databas/windsp_databas.aspx
  67. (accessed). Accessed July 2013
  68. Agrawal et al. (2012) Comparison of codal values and experimental data pertaining to dynamic wind characteristics 9(1) (pp. 33-53)
  69. Plate (1999) Methods of investigating urban wind fields-physical models (pp. 3981-3989) https://doi.org/10.1016/S1352-2310(99)00140-5
  70. Raciti et al. (2011) Modeling, strategy and numerical validation of the turbulent flow over a two-dimensional flat roof (pp. 462-468)
  71. President of Italian Republic: Legislative Decree 3 March 2011 N° 28..
  72. http://www.acs.enea.it/doc/dlgs_28–2011.pdf
  73. . Accessed 10 May 2013
  74. Energy Saving Trust: Domestic small-scale wind information.
  75. http://www.est.org.uk/myhome/generating/types/wind/
  76. . Accessed 10 May 2013
  77. Tutto green: Eolico domestico o minieolico: quali sono le offerte sul mercato?.
  78. http://www.tuttogreen.it/eolico-domestico-o-minieolico-quali-sono-le-offerte-sul-mercato/
  79. . Accessed10 May 2013
  80. IPCC: Carbon dioxide intensities of fuels and electricity for regions and countries.
  81. http://www.ipcc.ch/pdf/special-reports/sroc/Tables/t0305.pdf
  82. . Accessed 10 May 2013
  83. Ruggieri G: Consumi elettrici nel settore domestico..
  84. http://www.aspoitalia.it/attachments/220_Gianluca%20Ruggieri%20%20Consumi%20elettrici%20nel%20domestico.pdf
  85. . Accessed 10 May 2013
  86. Autorità per l'Energia: Elettrica ed il Gas. I servizi di vendita..
  87. http://www.autorita.energia.it/it/consumatori/bollettatrasp_ele.htm
  88. . Accessed 10 May 2013
  89. D’haeseleer and Voorspools (2006) An analytical formula for the capacity credit of wind power (pp. 45-54) https://doi.org/10.1016/j.renene.2005.03.017
  90. Kelleher and Ringwood (2009) A computational tool for evaluating the economics of solar and wind microgeneration of electricity (pp. 401-409) https://doi.org/10.1016/j.energy.2008.10.009