The paper aims to identify potential wind energy fields of Azerbaijan using a GIS-based spatial multi-criteria analysis method. Also it is possible to prevent material and time loss by calculating the amount of electricity generation through this method. Accurate determination of the areas where wind turbines will be installed is an important criterion affecting the energy production amount of electrical stations. Based on the principles of location selection of wind turbines important conditions such as infrastructure, the impact of turbines on the surrounding areas, proximity to residential areas, the wind regime of the potential regions were assessed. Besides factors such as investment cost, operating cost, power factor and operating life which determine the cost of energy production in wind turbines were also analyzed. The Republic’s technical wind energy potential has been estimated around the amount of 3.000 MW. In terms of location selection principles for wind power plants meteorological indicators of wind potential areas were analyzed by the GIS multi-criteria decision analysis method and as a result the acreage of the most technically suitable areas was determined as 1143 km2. Depending on the wind speed and power density of these designated areas the possible electricity generation amount was calculated as 4.2 billion kWh by modeling through the open-source System Advisor Model (SAM) application. This volume is equivalent to 17% of the country’s current electricity demand. Moreover, the electricity generation value of wind farms will be installed in these areas equals an average of $ 0.037 per kWh, which promotes the widespread use of wind turbines to prevent environmental pollution.

 

Abdullayev Y.R., Karimzadeh O.O., Huseynov G.A., Mammadova G.V., Karimzadeh G.S. Improvement of vertical-magnetic levitation wind generator. Elm. Baku, Problems of Energy, No. 3, 2018, pp. 78-86 (in Azerbaijani).

Al-Yahyai S., Charabi Y., Gastli A., Al-Badi A. Wind farm land suitability indexing using multi-criteria analysis. Renewable Energy, V. 44, 2012, pp. 80-87, DOI.org/10.1016/ j.renene.2012.01.004.

Ayyubov A.C., Hajiyev G.A. Climate resources of the Azerbaijan SSR. Baku, 1984, 89 p. (in Azerbaijani).

Ayyubov А.C. Climate and human health of Baku and Absheron peninsula. Azerneshr. Baku, 1997, 124 p. (in Azerbaijani).

Beccali M., Cellura M., Ardente D. Decision making in energy planning: the ELECTRE multicriteria analysis approach compared to a fuzzy-sets methodology. Energy Conversion and Management, V. 39. No. 16-18. 1998, pp. 1869-1881, DOI.org/10.1016/S0196-8904 (98)00053-3.

Chaouachi A., Covrig C.F., Ardelean M. Multi-criteria selection of offshore wind farms: Case study for the Baltic States. Energy Policy, V. 103, 2017, pp. 179-192, DOI.org/ 10.1016/j.enpol.2017.01.018.

2014, 2015, 2016 Energy efficiency report. The State Agency for Alternative and Renewable Energy Sources of the Azerbaijan Republic (AREA). Baku, 2017, http://area.gov.az/ page/34 (in Azerbaijani).

Environment in Azerbaijan. Statistical bulletin. The State Statistical Committee of the Azerbaijan Republic. Baku, 2019, 140 p. (in Azerbaijani).

Fagiano L. Control of tethered airfoils for high–altitude wind energy generation. PhD thesis. 2009, http://kitegen.com/ pdf/PhD_thesis_Fagiano_Final.pdf.

Georgopoulou E., Lalas D., Papagiannakis L. A multicriteria decision aid approach for energy planning problems: The case of renewable energy option. European journal of operational research, V. 103, No. 1, 1997, pp. 38-54, DOI.org/10.1016/S0377-2217 (96)00263-9.

Global Wind Atlas (GWA). Wind energy layers: Azerbaijan. 2019, https://globalwindatlas.info.

Huang J.P., Poh KL., Ang B.W. Decision analysis in energy and environmental modeling. Energy, V. 20, No. 9, 1995, pp. 843-855, DOI.org/10.1016/0360-5442 (95)00036-G.

Kapitsa A.P. Regional enviromental management. Publishing House of Moscow University. Moscow, 2003, 207 p.

Madatzadeh A.A. Natural-synoptic climate seasons in the Eastern Caucasus. Baku, 1973, 132 p. (in Russian).

Makhmudov R.N. Global climate change; causes and natural disasters. Hydrometeorology and environmental monitoring, Baku, No. 3, 2006, pp. 22-32 (in Azerbaijani).

Murdock H.E., Gibb D., André T., Appavou F., Brown A., Epp B., Sawin J.L. Renewables energy resources, Global Status Report, 2019, https://wedocs.unep.org/bitstream/handle/ 20.500.11822/28496/REN2019.pdf?sequence=1&isAllowed=y

National atlas: Azerbaijan Republic. State Land and Cartography Committee of the Republic of Azerbaijan, Baku Cartography Factory. Baku, 2014, 444 p. (in Azerbaijani).

Observational materials of the Hydrometeorology Department of the Ministry of Ecology and Natural Resources of the Re-public of Azerbaijan, 1990-2015. Hydrometeorology Bulletin. Baku, 67 p. (in Azerbaijani).

Paris agreement. United Nations Framework Convention on Climate Change. 2015, https://sustainabledevelopment.un.org/ content/documents/17853paris_agreement.pdf.

Porter H.O., Roberts D.C., Masson-Delmotte M.V., Zhai P.M. et al. IPCC, Special report on the ocean and cryosphere in a changing climate. IPCC: Summary for policymakers. 2019, 117 p., https://report.ipcc.ch/srocc/pdf/SROCC_FinalDraft _FullReport.pdf.

Quijano R., Botero S., Domínguez J. MODERGIS application: Integrated simulation platform to promote and develop renewable sustainable energy plans, Colombian case study. Renewable and Sustainable Energy Reviews, V. 16, 2012, pp. 5176-5187, DOI.org/10.1016/j.rser.2012.05.006.

Ragheb M., Ragheb A.M. Wind turbines theory – the Betz equation and optimal rotor tip speed ratio. Fundamental and advanced topics in wind power, V. 1, No.1, 2011, pp. 19-38.

Reports on the works in the field of energy in 2017, 2018, 2019. Ministry of Energy of the Azerbaijan Republic, http://minenergy.gov.az/az/hesabatlar/illik-hesabatlar (in Azerbaijani)

Shahbazov Sh.C., Yusubov I.M. Generating electrical energy by using wind energy at height from the ground. Elm. Baku, 2018, pp. 42-53 (in Azerbaijani).

Shikhlinsky A.M. Heat balance atlas of the Azerbaijan SSR. General Department of Geodesy and Cartography under the USSR Council of Ministers, Moscow, 1978, 92 p. (in Azerbaijani).

2015-2018 strategical plan. The State Agency for Alternative and Renewable Energy Sources of the Azerbaijan Republic (AREA). Baku, 2015, 32 p. (in Azerbaijani).

Electric energy tariffs. Tariffs. Domestic. Tariff (Price) Council of the Republic of Azerbaijan. Baku, 2017, http://www.tariffcouncil. gov.az/?/az/content/70/ (in Azerbaijani).

The energy of Azerbaijan. Statistical Bulletin. The State Statistical Committee of the Republic of Azerbaijan. Baku, 2019, 160 p. (in Azerbaijani).

The state of greenhouse gases in the atmosphere based on global observations through 2018. WMO greenhouse gas bulletin, No. 15, 2019, https://library.wmo.int/doc_num.php?explnum _id=10100.

Wind turbine models (WTM), Wind turbines database. All manufactured. 2019, https://en.wind-turbine-models.com/turbines.

Yusifbayli N.A., Nasibov V.Kh, Alizadeh R.R. Comparative analysis of methods for forecasting domestic electricity needs. Elm. Baku, Problems of Energy, No. 2, 2018, pp. 56-64 (in Azerbaijani).