Analysis of wind power characteristics and the influence of topography, with a renewable energy generation approach (Case study: Mazandaran province)

Document Type : Original Article

Authors

1 Department of Natural Heritage, Research Institute of Cultural Heritage and Tourism, Tehran, Iran

2 Department of Geography, NO.C., Islamic Azad University, Nour, Iran

Abstract

In this study, a statistical analysis of daily wind speed and direction at a height of 10 m in 15 synoptic meteorological stations of Mazandaran Province over a 12-year period (2006 to 2017) was conducted to provide a preliminary estimate of the extractable energy and spatial capacity of wind flow. In addition, the characteristics of wind speed and direction, Weibull probability distribution parameters and wind power potential and density of the stations were also determined. ArcGIS interpolation method (IDW) was used to prepare the calculated layers of the average speed, speed continuity, and power density of the wind at 10, 30, and 50 m heights. Furthermore, to examine the influence of topography on the wind variables, the Pearson correlation coefficient was used to evaluate the relationship between altitude, hillslope aspect, and slope indicators with each of the wind variables. There is only Baladeh station that has a limited possibility of extracting wind power at different heights. A map of wind speed zones at 50 m height reveals that Baladeh station has a maximum wind speed in July. The correlation coefficient between wind speed and altitude above sea level was 0.677. As the altitude of the meteorological stations in the province above sea level increases, the wind speed increases at a height of 10 meters above the ground. Wind energy is one of the most cost-benefit renewable energy sources for power generation, which is not only polluting the environment and being abundant and permanent, but also has the lowest price fluctuations. With the increase of altitude of meteorological stations of the province, the wind speed and power density of the station increases at a height of 10 meters above the ground.

Keywords

Main Subjects


Ahmadi, M. and Dadashi Roudbari, A., 2015. Feasibility study of wind power plants with AHP method in Semnan region. Quarterly Journal of the Iranian Geographical Association, v. 13, p. 81-98 (In Persian).
Aien, M., Rashidinejad, M. and Fotuhi Firuzabad, M., 2014. On possibilistic and probabilistic uncertainty assessment of power flow problem: a review and a new approach. Renewable Sustainable Energy Reviews, v. 37, p. 883-895.
Ajayi, O.O., Fagnenle, R.O. and Katende, J., 2011. Availability of wind energy resource potential for power generation at Jos, Nigeria. Frontiers in Energy, v. 5(4), p. 376-385.
Akpinar, E. and Akpinar, S., 2005. A statistical analysis of wind speed data used in installation of wind energy conversion systems. Energy Conversion and Management, v. 46, p. 515-532.
Allouhi, A., Zamzoum, O. and Islam, M.R., 2017. Evaluation of wind energy potential in Morocco’s coastal regions. Renewable and Sustainable Energy Reviews, v. 72, p. 311-324.
Azizi, G., Farid Mojtahedi, N., Shaebanzadeh, F., Negah, S. and Abed, H., 2017. Wind behavior in west Alborz stations influenced by environmental implications. Geography and Planning, v. 21(62), p. 203-222 (In Persian).
Azizi, Q., Masoumpoor, J., Khoush-Akhlaq, F., Ranjbar, A. and Zavar, R., 2010. Numerical simulation of sea breeze on the southern shores of Caspian Sea on the basis of climate characteristics. Journal of Climate Research, v. 1, p. 21-38 (In Persian).
Baban, S.M.J. and Parry, T., 2001. Developing and applying a GIS-assisted approach to locating wind arms in the UK. Renewable Energy, v. 24, p. 59-71.
Bairamvand, R., Motevalli, S., Janbaz Ghobadi, Gh.R. and Derafshi, K., 2022a. Potential measurement and estimation of wind power characteristics for energy generation (synoptic stations of Mazandaran Province). Journal of Geography and Environmental Studies, v. 11(43), p. 6-23 (In Persian).
Bairamvand, R., Motevalli, S., Janbaz Ghobadi, Gh.R. and Derafshi, K., 2022b. Evaluated the location of wind power plants based on spatial assessment of environmental factors, Mazandaran Province, Iran. Physical Geography Research, v. 54(2), p. 203-225 (In Persian).
Bairamvand, R., Motevalli, S., Janbaz Ghobadi, Gh.R. and Derafshi, K., 2022c. Wind power plants site selection using Boolean model and ArcGIS (Case study: Mazandaran Province). Physical Geograpgy, v. 14(57), p. 91-108 (In Persian).
Baker, L. and Sovacool, B.K., 2017. The political economy of technological capabilities and global production networks in South Africa’s wind and solar photovoltaic (PV) industries. Political Geography, v. 60, p. 1-12.
Bryne, R., Astolfi, D., Castellani, F. and Hewitt, N.J., 2020. A study of wind turbine performance decline with age through operation data analysis. Energies, v. 13(8), p. 2086.
Caralis, G., Perivolaris, Y., Rados, K. and Zervos, A., 2008. On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece. Environmental Research Letter, v. 3, p. 3-15.
Chen, W., Castruccio, S. and Genton, M.G., 2018. Current and future estimates of wind energy potential over Saudi Arabia. Journal of Geophysical Research: Atmospheres, v. 123, p. 6443-6459.
Chong, Z.R., Yang, S.H.B., Babu, P., Linga, P. and Li, X.S., 2016. Review of natural gas hydrates as an energy resource: Prospects and challenges. Applied Energy, v. 162, p. 1633-1652.
Entezari, A., Amir Ahmadi, A., Erfani, A. and Borzuie, A., 2012. Evaluation of wind energy potential and feasibility of wind power plant construction in Sabzevar. Geographical Studies of Arid Regions, v. 3(9-10), p. 33-46 (In Persian).
Esfandiari, A., Rangzi, K., Saberi, A. and Phattahi Moghadam, M., 2011. Potential measurement of solar power plants construction by studying climatic parameters in Khuzestan province using GIS. Geomatic National Conference, Tehran, Iran (In Persian).
Gandomkar, A., 2010. Determining the horizontal wind direction of Sistan using cluster analysis. Physical Geography Quarterly Journal, v. 10, p. 67-76 (In Persian)
Ghaffari, P. and Chegini, V., 2016. Acoustic doppler current profiler observations in the southern Caspian Sea: shelf currents and flow field off Feridoonkenar Bay, Iran. Ocean Science, v. 6, p. 737-748.
Heydari, M., 2009. Solar power plant zoning in Iran. Journal of Heat Converters, v. 2(17), p. 60-71. (In Persian)
Ilkilic, C. and Aydin, H., 2015. Wind power potential and usage in the coastal regions of Turkey. Renewable and Sustainable Energy Reviews, v. 44, p. 78-86.
Intergovernmental Panel on Climate Change (IPCC), Report 2013, ipcc.ch site, Report Section.
Janbaz Ghobadi, G., 2020. Potentiometric analysis of wind energy to determine the optimum location for wind turbines in Mazandaran province. Geographical Planning of Space Quarterly Journal, v. 9(34), p. 209-224 (In Persian).
Karimi, M., Azizi, G., Shamsi Pour, A. and Rezai, M., 2016. Dynamic simulation of the Alborz Mountain in spread and thickness of sea breeze on the southern coast of the Caspian Sea, Journal of Applied Researches in Geographical Sciences, v. 16, p. 135-152 (In Persian).
Kenisarin, M. and Mahkamov, K., 2007. Solar Energy Storage Using Phase Change Materials. Renewable and Sustainable Energy Reviews, v. 11(9), p. 1913-1965.
Kim, Y. and Lim, H., 2017. Effect of island topography and surface roughness on the estimation of annual energy production of offshore wind farms. Renewable Energy, v. 103, p. 106-114.
Kruyt, B., Dujardin, J. and Lehning, M., 2018. Improvement of wind power assessment in complex terrain: the case of COSMO-1 in the Swiss Alps. Frontiers in Energy Research, v. 6(102), p. 1-14.
Maryanaji, Z., Hosseini, A. and Abbasi, H., 2018. Zoning and forecasting of the wind energy potential in Hamadan Province using Geographic Information System. Scientific-Research Quarterly of Geographyical Data (SEPEHR), v. 26(104), p. 186-196 (In Persian).
Masoud, M. and Pawlowicz, R., 2020. Currents generated by the sea breeze in the southern Caspian Sea. Ocean Sceince, v. 18, p. 675-692.
Mohammadi, H., Rostami, S., Taghavi, F. and Shamsipoor, A., 2012. Wind energy potential measurement in Kermanshah Province. Physical Geography Quarterly Journal, v. 44(2), p. 19-32 (In Persian).
Mojarrad, F. and Hemmati, S., 2013. Evaluation of wind energy capabilities in Kermanshah and Kurdistan provinces. Applied Research in Geographical Sciences, v. 13(29), p. 137-157 (In Persian).
Molanejad, M., Soltani, M., Ranjbar SaadatAbadi, A., Babu, C.A., Sohrabi, M. and Martin, M.V., 2015. Climatology of cyclones and their tracking over southern coasts of Caspian Sea. International Journal of Environmental Resources, v. 9(1), p. 117-132.
Negash, T., Mollerstrom, E. and Ottermo, F., 2020. An assessment of wind energy potential for the three topographic regions of Eritrea. Energies, v. 13(1846), p. 1-12.
Partovi, A., 2012. New energies: energy for a sustainable future. First Edition, Institute of Printing and Publishing, University of Tehran, Iran, 599 p (In Persian).
Promsen, W., Janjai, S. and Tantalechon, T., 2014. An analysis wind energy potential of Kampot Province Southern Cambodia. International Conference on Alternative Energy in Developing Countries and Emergency Economics, Energy Prosedia, v. 52, p. 633-641.
Rehman, S., Natarajan, N., Vasudenvan, M. and Alhems, L.M., 2020. Assessment of wind energy potential across varying topographical features of Tamil Nadu, India. Energy Exploration & Exploitation, v. 38(1), p. 175-200.
REN21 (Global Status Report) 2015. Annual reporting on renewables: ten years of excellence. Renewable Energy Policy Network for the 21st Century.
Rezaei Banafsheh, M., Jahanbakhsh, S., Dinpazhooh, Y. and Esmaeli, M., 2014. Feasibility study of using wind energy in Ardabil and Zanjan Provinces. Natural Geography Research, v. 3(46), p. 261-274 (In Persian).
Salam, M.A., Yazdani, M.G. and Rahman, Q.M., 2018. Investigation of wind energy potentials in Brunei Darussalam. Frontiers in Energy.
Selic, A., 2003. A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy, v. 29, p. 593-604.
Shahriari, M. and Blumsack, S., 2017. Scaling of wind energy variability over space and time. Applied Energy, v. 195, p. 572-585.
Strantzali, E. and Aravosis, K., 2016. Decision making in renewable energy investments: A review. Renewable and Sustainable Energy Reviews, v. 55, p. 885-898.
Whiteman, C.D., 2000. Mountain Meteorology, Fundamental and Applications. Oxford University Press, 372 p.
Yue, C. and Wang, S., 2006. GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan, Energy Policy, v. 34, p. 730-42.