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Development and application of an integrated wind resource assessment tool for wind farm planning

Year 2012, Volume: 2 Issue: 4, 674 - 685, 01.12.2012

Giovanni Gualtieri

Abstract

An integrated wind resource assessment tool has been developed to help public operators and private investors in wind farm planning. The two–parameter Weibull probability density function is used to calculate wind speed frequency distribution. The system takes advantage of an integrated database including an updated list of more than 200 windgenerators manufactured by the most experienced worldwide companies. Main wind resource and turbine–converted energy indicators are computed, such as mean wind speed and power density, Weibull’s scale and shape factors, Betz annual specific energy, availability and capacity factors, annual energy production, and full–load hours. A comprehensive energy report is eventually created for any site, including plots and tables such as wind rose and Joint Frequency Functions, Weibull’s wind speed distribution and cumulated probability, annual energy production vs. turbine power curve. Thereby, the system is suitable for on–site pre–feasibility studies. Furthermore, it operates according to a point–by–point fashion, as it may be routinely run in an automated mode for a large number of points over the study area. This later enables main wind energy contouring maps to be plotted. The system has been applied to perform a wind turbine comparison aimed at detecting the site most efficient windgenerator within a number of works. As a benchmark, an extensive application of the developed system has been carried out to assess the large–scale wind potential of Tuscany region, Italy. Hourly wind estimates calculated by the coupled Weather Research and Forecasting (WRF) and CALMET models at a 2–Km resolution have been processed by the system over the region through a 4–year time period.

Keywords

Wind resource assessment; Wind energy assessment tool; Wind farm planning; Pre–feasibility studies; Turbine database; Energy report

References

  • S.Y. Hu, J.H. Cheng, “Performance evaluation of pairing between sites and wind turbines”, Renew Energy, Vol. , pp. 1934-1947, 2007.
  • R. Pallabazzer, “Previsional estimation of the energy output of wind generators”, Renew Energy, Vol. 29, pp. 420, 2004
  • R. Pallabazzer, “Parametric analysis of wind siting efficiency”, J. Wind Eng. Ind. Aerodyn, Vol. 91, pp. 1352, 2003.
  • S.M. Boudia, A. Benmansour, N. Ghellai, M. Benmedjahed, M.A. Tabet Hellal. “Monthly and Seasonal Assessment of Wind Energy Potential in Mechria Region, Occidental Highlands of Algeria”, International Journal of Green Energy, Vol. 9, pp. 243-255, 2012.
  • M. Nedaei. “Wind Energy Potential Assessment in Chalus County in Iran”, International Journal of Renewable Energy Research, Vol.2, No.2, pp. 338-347, K. Philippopoulos, D. Deligiorgi, G. Karvounis. “Wind Speed Distribution Modeling in the Greater Area of Chania, Greece”, International Journal of Green Energy, Vol. 9, pp. 174-193. 2012.
  • E.C. Morgan, M. Lackner, R.M. Vogel, L.G. Baise, “Probability distributions for offshore wind speeds”, Energy Convers Manage, Vol. 52, pp. 15-26, 2011.
  • T.J. Chang, Y.T. Wu, H.Y. Hsu, C.R. Chu, C.M. Liao, “Assessment of wind characteristics and wind turbine characteristics in Taiwan”, Renew Energy, Vol. 28, pp. 871, 2003.
  • A. Garcia, J.L. Torres, E. Prieto, A. De Francisco, “Fitting wind speed distributions: a case study”, Sol Energy, Vol. 62, pp. 139-144, 1998. D.A. Spera, Wind Turbine Technology:
  • Fundamental Concepts of Wind Turbine Engineering, nd ed., New York: ASME Press, 2009.
  • T. Burton, D. Scarpe, N. Jenkins, E. Bossanyi, Wind Energy Handbook, Chichester: John Wiley & Sons, UK, J. Manwell, J. McGowan, A. Rogers, Wind Energy Explained. Chichester: John Wiley & Sons, UK, 2002.
  • M.M Alam, S. Rehman, J.P. Meyer, L.M. Al- Hadhrami. “Review of 600-2500 kW sized wind turbines and optimization of hub height for maximum wind energy yield realization”, Renew Sustain Energy Rev, Vol. 15, pp. 3839-3849, 2011.
  • Y. Amirat, M.E.H. Benbouzid, E. Al-Ahmar, B. Bensaker, S. Turri, “A brief status on condition monitoring and fault diagnosis in wind energy conversion systems”, Renew Sustain Energy Rev, Vol. 13, pp. 2629- , 2009.
  • G.M. Joselin Herbert, S. Iniyan, E. Sreevalsan, S. Rajapandian, “A review of wind energy technologies”, Renew Sustain Energy Rev, Vol. 11, pp. 1117-1145,
  • A. Al-Mohamad, H. Karmeh, “Wind energy potential in Syria”, Renew Energy, Vol. 28, pp. 1039- , 2003.
  • A.A. Bhuiyan, A.K.M.S. Islam, A.I. Alam. “Application of Wind Resource Assessment (WEA) Tool: A case study in Kuakata, Bangladesh”, International Journal of Renewable Energy Research, Vol.1, No.3, pp.192-199, 2011. A.L. Rogers, J.W. Rogers, J.F. Manwell,
  • “Comparison of the performance of four measure- correlate-predict algorithms”, J. Wind Eng. Ind. Aerodyn, Vol. 93, pp. 243-264, 2005.
  • K. Philippopoulos, D. Deligiorgi. “Application of artificial neural networks for the spatial estimation of wind speed in a coastal region with complex topography”, Renew Energy, Vol. 38, pp. 75-82, 2012.
  • S. Velázquez, J.A. Carta, J.M. Matías. “Comparison between ANNs and linear MCP algorithms in the long- term estimation of the cost per kW h produced by a wind turbine at a candidate site: A case study in the Canary Islands”, Appl Energy, Vol. 88, pp. 3869-3881, 2011.
  • D.A. Fadare, “The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria”, Appl Energy, Vol. 87, pp. 934- , 2010.
  • M. Beccali, G. Cirrincione, A. Marvuglia, C. Serporta, “Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor”, Appl Energy, Vol. 87, pp. 884-893, 2010.
  • S.H.L. Yim, J.C.H. Fung, A.K.H. Lau, S.C. Kot, “Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system”, J. Geophys. Res, Vol. 112, D05106, 2007.
  • L. Morales, F. Lang, C. Mattar. “Mesoscale wind speed simulation using CALMET model and reanalysis information: An application to wind potential”, Renewable Energy, Vol. 48, pp. 57-71, 2012.
  • M. Prieto, J. Navarro, J. Copeland, “A comparison of wind field simulations through a coupling of MM5/CALMET in a complex terrain”, European Wind Energy Conference & Exhibition (EWEC), Milano, Italy, Z. Radonjic, D. Chambers, B. Telenta, S. Music, Z. Janjic, “Coupling NMM Mesoscale Weather Forecast Model with CALMET for Wind Energy Applications”, Geophysical Research Abstracts, Vol. 11, p. 1152, 2009.
  • E. Berge, R.E. Bredesen, K. Mollestad, “Combining WAsP with the WRF meso-scale model. Evaluation of wind resource assessment for three Norwegian wind farm areas”, European Wind Energy Conference & Exhibition (EWEC), Milano, Italy, 2007.
  • H. Yumak, T. Ucar, S. Yayla. “Wind Energy Potential on the Coast of Lake Van”, International Journal of Green Energy, Vol. 9, pp. 1-12, 2012.
  • Y. Charabi, S. Al-Yahyai, A. Gastli. “Evaluation of NWP performance for wind energy resource assessment in Oman”, Renew Sustain Energy Rev, Vol. 15, pp. 1545- , 2011.
  • A. Roy. “Directional and Time-series Distribution of Projected Wind Profiles based on Low Altitude Data”, International Journal of Renewable Energy Research, Vol.2, No.3, pp. 388-396, 2012.
  • C.G. Justus, W.R. Hargraves, A. Mikhail, D. Graber. “Methods for estimating wind speed frequency distributions”, Journal of Applied Meteorology, Vol. 17, pp. 350-353, 1977.
  • S.G. Jamdade, P.G. Jamdade. “Analysis of Wind Speed Data for Four Locations in Ireland based on Weibull Distribution’s Linear Regression Model”, International Journal of Renewable Energy Research, Vol.2, No.3, pp. 451-455, 2012.
  • R.J. Barthelmie, S.T. Frandsen, M.N. Nielsen, S.C. Pryor, P.-E. Rethore, H.E. Jİrgensen, “Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm”, Wind Energy, Vol. 10, pp. 517-528, 2007.
  • Z.O. Olaofe, K.A. Folly. “Statistical Analysis of Wind Resources at Darling for Energy Production”, International Journal of Renewable Energy Research, Vol.2, No.2, pp. 250-261, 2012..
  • N.G. Mortensen, D.N. Heathfield, L. Myllerup, L. Landberg, O. Rathmann, I. Troen, E.L. Petersen, Getting Started with WasP, Risİ National Laboratory, Roskilde, Denmark, 2003.
  • C. Busillo, F. Calastrini, G. Gualtieri, B. Gozzini, “Energy efficiency assessment of an aeolic plant installation in the Livorno harbour: a wind turbine performance comparison based on meteorological model estimations”, WSEAS Transactions on Environment and Development, Vol. 4, pp. 247-256, 2008.
  • G. Gualtieri, S. Secci. “Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy”, Renew Energy, Vol. 36, pp. 1081- , 2011.
  • G. Gualtieri, S. Secci. “Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A case study on coastal location”, Renew Energy, Vol. 36, pp. 2189-2204, 2011.
  • G. Gualtieri, S. Secci. “Methods to extrapolate wind resource to the turbine hub height based on power law: A h wind speed vs. Weibull distribution extrapolation comparison”, Renew Energy, Vol. 43, pp. 183-200, Repower specifications, 2012. turbines, MM92 technical
  • R. Mari, L. Bottai, C. Busillo, F. Calastrini, B. Gozzini, G. Gualtieri, “A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)”, Renew Energy, Vol. 36, pp. 754-763, W.C. Skamarock, J.B. Klemp, J. Dudhia, D.O. Gill, D.M. Barker, W. Wang, J.G. Powers, A Description of the Advanced Research WRF Version 2, National Center for Atmospheric Research, 2005.
  • J.S. Scire, F.R. Robe, M.E. Fermau, R.J. Yamartino, A User’s Guide for the CALMET Meteorological Model (version 5.0), Earth Tech Inc., 1999.
  • VESTAS, Product overview, 2012.
  • T.R. Ayodele, A.A. Jimoh, J.L. Munda, J.T. Agee. “Impacts of Correlated Input Variables on Small Signal Stability of Wind Generator-Connected Power Systems”, International Journal of Advanced Renewable Energy Research, Vol. 1, Issue 6, pp. 299-306, 2012.
  • B. Sliz-Szkliniarz, J. Vogt. “GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship”, Renew Sustain Energy Rev, Vol. 15, pp. 1696-1707, 2011.
  • R. van Haaren, V. Fthenakis. “GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State”, Renew Sustain Energy Rev, Vol. 15, pp. 3332-3340,
  • A. Ouammi, V. Ghigliotti, M. Robba, A. Mimet, R. Sacile. “A decision support system for the optimal exploitation of wind energy on regional scale”, Renew Energy, Vol. 37, pp. 299-309, 2012.
  • S. Grassi, N. Chokani, R.S. Abhari. “Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa”, Energy Policy, Vol. 45, pp. 73-85, 2012.
  • J. Hossain, V. Sinha, V.V.N. Kishore. “A GIS based assessment of potential for windfarms in India”, Renew Energy, Vol. 36, pp. 3257-3267, 2011.
  • Tier, FirstLook World Wind Map, 2012.
  • Associated Weather Services (AWS) Truewind, WindNavigator - Canada, India and United States, 2012.
  • Natural Resources Defense Council (NRDC), Renewable Energy for America, 2012.
  • Recherche Prévision Numérique (RPN), The Canadian Wind Energy Atlas, 2012.
  • Suisse Eole, The Swiss Wind Power Data Website,

Year 2012, Volume: 2 Issue: 4, 674 - 685, 01.12.2012

Giovanni Gualtieri

Abstract

References

  • S.Y. Hu, J.H. Cheng, “Performance evaluation of pairing between sites and wind turbines”, Renew Energy, Vol. , pp. 1934-1947, 2007.
  • R. Pallabazzer, “Previsional estimation of the energy output of wind generators”, Renew Energy, Vol. 29, pp. 420, 2004
  • R. Pallabazzer, “Parametric analysis of wind siting efficiency”, J. Wind Eng. Ind. Aerodyn, Vol. 91, pp. 1352, 2003.
  • S.M. Boudia, A. Benmansour, N. Ghellai, M. Benmedjahed, M.A. Tabet Hellal. “Monthly and Seasonal Assessment of Wind Energy Potential in Mechria Region, Occidental Highlands of Algeria”, International Journal of Green Energy, Vol. 9, pp. 243-255, 2012.
  • M. Nedaei. “Wind Energy Potential Assessment in Chalus County in Iran”, International Journal of Renewable Energy Research, Vol.2, No.2, pp. 338-347, K. Philippopoulos, D. Deligiorgi, G. Karvounis. “Wind Speed Distribution Modeling in the Greater Area of Chania, Greece”, International Journal of Green Energy, Vol. 9, pp. 174-193. 2012.
  • E.C. Morgan, M. Lackner, R.M. Vogel, L.G. Baise, “Probability distributions for offshore wind speeds”, Energy Convers Manage, Vol. 52, pp. 15-26, 2011.
  • T.J. Chang, Y.T. Wu, H.Y. Hsu, C.R. Chu, C.M. Liao, “Assessment of wind characteristics and wind turbine characteristics in Taiwan”, Renew Energy, Vol. 28, pp. 871, 2003.
  • A. Garcia, J.L. Torres, E. Prieto, A. De Francisco, “Fitting wind speed distributions: a case study”, Sol Energy, Vol. 62, pp. 139-144, 1998. D.A. Spera, Wind Turbine Technology:
  • Fundamental Concepts of Wind Turbine Engineering, nd ed., New York: ASME Press, 2009.
  • T. Burton, D. Scarpe, N. Jenkins, E. Bossanyi, Wind Energy Handbook, Chichester: John Wiley & Sons, UK, J. Manwell, J. McGowan, A. Rogers, Wind Energy Explained. Chichester: John Wiley & Sons, UK, 2002.
  • M.M Alam, S. Rehman, J.P. Meyer, L.M. Al- Hadhrami. “Review of 600-2500 kW sized wind turbines and optimization of hub height for maximum wind energy yield realization”, Renew Sustain Energy Rev, Vol. 15, pp. 3839-3849, 2011.
  • Y. Amirat, M.E.H. Benbouzid, E. Al-Ahmar, B. Bensaker, S. Turri, “A brief status on condition monitoring and fault diagnosis in wind energy conversion systems”, Renew Sustain Energy Rev, Vol. 13, pp. 2629- , 2009.
  • G.M. Joselin Herbert, S. Iniyan, E. Sreevalsan, S. Rajapandian, “A review of wind energy technologies”, Renew Sustain Energy Rev, Vol. 11, pp. 1117-1145,
  • A. Al-Mohamad, H. Karmeh, “Wind energy potential in Syria”, Renew Energy, Vol. 28, pp. 1039- , 2003.
  • A.A. Bhuiyan, A.K.M.S. Islam, A.I. Alam. “Application of Wind Resource Assessment (WEA) Tool: A case study in Kuakata, Bangladesh”, International Journal of Renewable Energy Research, Vol.1, No.3, pp.192-199, 2011. A.L. Rogers, J.W. Rogers, J.F. Manwell,
  • “Comparison of the performance of four measure- correlate-predict algorithms”, J. Wind Eng. Ind. Aerodyn, Vol. 93, pp. 243-264, 2005.
  • K. Philippopoulos, D. Deligiorgi. “Application of artificial neural networks for the spatial estimation of wind speed in a coastal region with complex topography”, Renew Energy, Vol. 38, pp. 75-82, 2012.
  • S. Velázquez, J.A. Carta, J.M. Matías. “Comparison between ANNs and linear MCP algorithms in the long- term estimation of the cost per kW h produced by a wind turbine at a candidate site: A case study in the Canary Islands”, Appl Energy, Vol. 88, pp. 3869-3881, 2011.
  • D.A. Fadare, “The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria”, Appl Energy, Vol. 87, pp. 934- , 2010.
  • M. Beccali, G. Cirrincione, A. Marvuglia, C. Serporta, “Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor”, Appl Energy, Vol. 87, pp. 884-893, 2010.
  • S.H.L. Yim, J.C.H. Fung, A.K.H. Lau, S.C. Kot, “Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system”, J. Geophys. Res, Vol. 112, D05106, 2007.
  • L. Morales, F. Lang, C. Mattar. “Mesoscale wind speed simulation using CALMET model and reanalysis information: An application to wind potential”, Renewable Energy, Vol. 48, pp. 57-71, 2012.
  • M. Prieto, J. Navarro, J. Copeland, “A comparison of wind field simulations through a coupling of MM5/CALMET in a complex terrain”, European Wind Energy Conference & Exhibition (EWEC), Milano, Italy, Z. Radonjic, D. Chambers, B. Telenta, S. Music, Z. Janjic, “Coupling NMM Mesoscale Weather Forecast Model with CALMET for Wind Energy Applications”, Geophysical Research Abstracts, Vol. 11, p. 1152, 2009.
  • E. Berge, R.E. Bredesen, K. Mollestad, “Combining WAsP with the WRF meso-scale model. Evaluation of wind resource assessment for three Norwegian wind farm areas”, European Wind Energy Conference & Exhibition (EWEC), Milano, Italy, 2007.
  • H. Yumak, T. Ucar, S. Yayla. “Wind Energy Potential on the Coast of Lake Van”, International Journal of Green Energy, Vol. 9, pp. 1-12, 2012.
  • Y. Charabi, S. Al-Yahyai, A. Gastli. “Evaluation of NWP performance for wind energy resource assessment in Oman”, Renew Sustain Energy Rev, Vol. 15, pp. 1545- , 2011.
  • A. Roy. “Directional and Time-series Distribution of Projected Wind Profiles based on Low Altitude Data”, International Journal of Renewable Energy Research, Vol.2, No.3, pp. 388-396, 2012.
  • C.G. Justus, W.R. Hargraves, A. Mikhail, D. Graber. “Methods for estimating wind speed frequency distributions”, Journal of Applied Meteorology, Vol. 17, pp. 350-353, 1977.
  • S.G. Jamdade, P.G. Jamdade. “Analysis of Wind Speed Data for Four Locations in Ireland based on Weibull Distribution’s Linear Regression Model”, International Journal of Renewable Energy Research, Vol.2, No.3, pp. 451-455, 2012.
  • R.J. Barthelmie, S.T. Frandsen, M.N. Nielsen, S.C. Pryor, P.-E. Rethore, H.E. Jİrgensen, “Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm”, Wind Energy, Vol. 10, pp. 517-528, 2007.
  • Z.O. Olaofe, K.A. Folly. “Statistical Analysis of Wind Resources at Darling for Energy Production”, International Journal of Renewable Energy Research, Vol.2, No.2, pp. 250-261, 2012..
  • N.G. Mortensen, D.N. Heathfield, L. Myllerup, L. Landberg, O. Rathmann, I. Troen, E.L. Petersen, Getting Started with WasP, Risİ National Laboratory, Roskilde, Denmark, 2003.
  • C. Busillo, F. Calastrini, G. Gualtieri, B. Gozzini, “Energy efficiency assessment of an aeolic plant installation in the Livorno harbour: a wind turbine performance comparison based on meteorological model estimations”, WSEAS Transactions on Environment and Development, Vol. 4, pp. 247-256, 2008.
  • G. Gualtieri, S. Secci. “Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy”, Renew Energy, Vol. 36, pp. 1081- , 2011.
  • G. Gualtieri, S. Secci. “Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A case study on coastal location”, Renew Energy, Vol. 36, pp. 2189-2204, 2011.
  • G. Gualtieri, S. Secci. “Methods to extrapolate wind resource to the turbine hub height based on power law: A h wind speed vs. Weibull distribution extrapolation comparison”, Renew Energy, Vol. 43, pp. 183-200, Repower specifications, 2012. turbines, MM92 technical
  • R. Mari, L. Bottai, C. Busillo, F. Calastrini, B. Gozzini, G. Gualtieri, “A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)”, Renew Energy, Vol. 36, pp. 754-763, W.C. Skamarock, J.B. Klemp, J. Dudhia, D.O. Gill, D.M. Barker, W. Wang, J.G. Powers, A Description of the Advanced Research WRF Version 2, National Center for Atmospheric Research, 2005.
  • J.S. Scire, F.R. Robe, M.E. Fermau, R.J. Yamartino, A User’s Guide for the CALMET Meteorological Model (version 5.0), Earth Tech Inc., 1999.
  • VESTAS, Product overview, 2012.
  • T.R. Ayodele, A.A. Jimoh, J.L. Munda, J.T. Agee. “Impacts of Correlated Input Variables on Small Signal Stability of Wind Generator-Connected Power Systems”, International Journal of Advanced Renewable Energy Research, Vol. 1, Issue 6, pp. 299-306, 2012.
  • B. Sliz-Szkliniarz, J. Vogt. “GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship”, Renew Sustain Energy Rev, Vol. 15, pp. 1696-1707, 2011.
  • R. van Haaren, V. Fthenakis. “GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State”, Renew Sustain Energy Rev, Vol. 15, pp. 3332-3340,
  • A. Ouammi, V. Ghigliotti, M. Robba, A. Mimet, R. Sacile. “A decision support system for the optimal exploitation of wind energy on regional scale”, Renew Energy, Vol. 37, pp. 299-309, 2012.
  • S. Grassi, N. Chokani, R.S. Abhari. “Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa”, Energy Policy, Vol. 45, pp. 73-85, 2012.
  • J. Hossain, V. Sinha, V.V.N. Kishore. “A GIS based assessment of potential for windfarms in India”, Renew Energy, Vol. 36, pp. 3257-3267, 2011.
  • Tier, FirstLook World Wind Map, 2012.
  • Associated Weather Services (AWS) Truewind, WindNavigator - Canada, India and United States, 2012.
  • Natural Resources Defense Council (NRDC), Renewable Energy for America, 2012.
  • Recherche Prévision Numérique (RPN), The Canadian Wind Energy Atlas, 2012.
  • Suisse Eole, The Swiss Wind Power Data Website,
There are 50 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Giovanni Gualtieri This is me

Publication Date December 1, 2012
Published in Issue Year 2012 Volume: 2 Issue: 4

Cite

APA Gualtieri, G. (2012). Development and application of an integrated wind resource assessment tool for wind farm planning. International Journal Of Renewable Energy Research, 2(4), 674-685.
AMA Gualtieri G. Development and application of an integrated wind resource assessment tool for wind farm planning. International Journal Of Renewable Energy Research. December 2012;2(4):674-685.
Chicago Gualtieri, Giovanni. “Development and Application of an Integrated Wind Resource Assessment Tool for Wind Farm Planning”. International Journal Of Renewable Energy Research 2, no. 4 (December 2012): 674-85.
EndNote Gualtieri G (December 1, 2012) Development and application of an integrated wind resource assessment tool for wind farm planning. International Journal Of Renewable Energy Research 2 4 674–685.
IEEE G. Gualtieri, “Development and application of an integrated wind resource assessment tool for wind farm planning”, International Journal Of Renewable Energy Research, vol. 2, no. 4, pp. 674–685, 2012.
ISNAD Gualtieri, Giovanni. “Development and Application of an Integrated Wind Resource Assessment Tool for Wind Farm Planning”. International Journal Of Renewable Energy Research 2/4 (December 2012), 674-685.
JAMA Gualtieri G. Development and application of an integrated wind resource assessment tool for wind farm planning. International Journal Of Renewable Energy Research. 2012;2:674–685.
MLA Gualtieri, Giovanni. “Development and Application of an Integrated Wind Resource Assessment Tool for Wind Farm Planning”. International Journal Of Renewable Energy Research, vol. 2, no. 4, 2012, pp. 674-85.
Vancouver Gualtieri G. Development and application of an integrated wind resource assessment tool for wind farm planning. International Journal Of Renewable Energy Research. 2012;2(4):674-85.