EXPLORING WIND ENERGY POTENTIAL IN KPK-PAKISTAN BY USING MULTI CRITERIA APPROACH

Year 2019, Volume: 20 Issue: 2, 171 - 178, 01.06.2019

Lubna Rafiq , Sapna Tajbar

https://doi.org/10.18038/aubtda.458507

Abstract

Renewable energy resources have great potential to give solution to the long-lasting energy deficiency problems being faced by Pakistan. The aim of this study was to utilize 22 years (1983-2005) satellite based data sets of Wind Speed (m/s) at 10m and 50m, 100m, 150m, 300m altitudes, Surface Temperature (0C) and Surface Atmospheric Pressure (kpa) for six districts of KPK (Chitral, Peshawar, Dir, DIK, Buner and Mansehra) respectively. At 10 m altitude, annual wind speed analysis showed similar pattern among all the districts, each with two maximum peaks one in April and the other between October and November. Multi-criteria Approach involved, creating suitable criteria for selected variables then classification (based on each variable magnitude), score were then assigned to each class. Based on methodology (MCA) applied in this research, Chitral district appeared as the best location for exploiting in terms of wind power.

Keywords

Wind Potential Site, Wind Speeds, Surface Temperature, Surface Pressure, Multi Criteria Approach

References

• L I, Pandian PK. Identification of Potential Zone for Wind Farm in Ambasamudram Taluk– A Geospatial Approach, International Journal of Earth Sciences and Engineering, 2012; 5, 484-493.
• Vader NV, Joshi VA. Wind Power Generation Technology. In: Two Days Seminar on Alternative Energy Sources; 27-28 August 2005; VPM’s Polytechnic, Thane.
• Mirza UK, Ahmad N, Majeed T, Harijan K. Wind energy development in Pakistan, Renewable & Sustainable Energy Reviews, 2007; 11, 2179-2190.
• Bhutto AW, Bazmi AA, Zahedi G. Greener energy: Issues and challenges for Pakistan-wind power prospective, Renewable & Sustainable Energy Review, 2013; 20, 519-538.
• Piementa F, Kempton W, Garvine R. Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southwestern Brazil, Renewable Energy, 2008; 33, 2375-2387.
• Mahmood A, Javaid N, Zafar A, Riaz RA, Ahmed S, Razzaq S. Pakistan’s overall energy potential assessment, comparison of LNG, TAPI and IPI gas projects, Renewable & Sustainable Energy Reviews, 2014; 31, 182-193.
• Mirza IA, Khan NA, Memon N. Development of benchmark wind speed for Gharo and Jhimpir, Pakistan, Renewable Energy, 2010; 35, 576-582.
• Paton CP, Manomaiphiboon K. A Metropolitan Wind Resource Assessment for Bangkok, Thailand Part 1: Wind Resource Mapping, Journal of Sustainable Energy & Environment, 2013; 4, 69-76.
• Chang R, Zhu R, Badger M, Hasager CB, Xing X, Jiang Y. Offshore Wind Resources Assessment from Multiple Satellite Data and WRF Modeling over South China Sea, Remote Sensing, 2015; 7, 467-487.
• KPKOGG. Khyber Pakhtunkhwa Official Gateway to Government. Geography & Climate, Accessed 18 March 2016.
• http://www.khyberpakhtunkhwa.gov.pk/aboutus/Geography.php
• SSE. Surface meteorology and Solar Energy, Accessed 08 January 2016. https://eosweb.larc.nasa.gov/sse/ NSSM. NASA Surface meteorology and Solar Energy: Methodology, Accessed 08 January 2016. https://eosweb.larc.nasa.gov/sse/documents/SSE_Methodology.pdf
• SSERM. Surface meteorology and Solar Energy (SSE) Release 6.0 Methodology, Accessed 08 January 2016. https://eosweb.larc.nasa.gov/sse/documents/SSE6Methodology.pdf
• Maklad Y, Glencross-Grant R. A Seasonal Analysis of Potential Wind Power for Armidale NSW, Australia, International Journal of Energy Economics and Policy, 2014; 4, 92-107.
• Zhou Y, Wu WX, Liu GX. Assessment of Onshore Wind Energy Resource and Wind-Generated Electricity Potential in Jiangsu, China, Energy Procedia, (2011); 5, 418-422.
• Khare V, Nema S, Baredar P. Status of solar wind renewable energy in India, Renewable and Sustainable Energy Reviews, 2013; 27, 1-10.
• Shonhiwa C, Makaka G, Munjeri K. Estimation of Wind Power Potential of Six Sites in Eastern Cape Province of South Africa, Physical Science International Journal, 2015; 6, 209-218.
• Shonhiwa C, Makaka G, Munjeri K. Estimation of Wind Power Potential of Six Sites in Eastern Cape Province of South Africa, Physical Science International Journal, 2015; 6, 209-218.
• Genc MS, Gokcek M. Evaluation of Wind Characteristics and Energy Potential in Kayseri, Turkey, Journal of Energy Engineering, 2009; 135, 33-43.
• Chaudhry QZ. An Investigation on Wind Power Potential of Gharo-Sindh, Pakistan, Pakistan Journal of Meteorology, (2009); 6(11).
• Islam A, Islam MS, Hasan M, Khan AH. Analysis of Wind Characteristics and Wind Energy Potential in Coastal Area of Bangladesh: Case Study Cox’s Bazar, ELEKTRIKA, 2013; 15, 1-10.
• Ajayi OO, Fagbenle RO, Katende J, Aasa SA, Okeniyi JO. Wind profile characteristics and turbine performance analysis in Kano, north-western Nigeria, International Journal of Energy and Environmental Engineering, 2013; 4, 27.
• Khahro SF, Soomro AM, Tabbassum K, Dong L, Xiaozhong L. Assessment of wind power potential at Hawksbay, Karachi Sindh, Pakistan, TELKOMNIKA, 2013; 11, 3479-3490.
• Asl SJ, Banafsheh MR, Dinpashoh Y, Esmaeilpour M, Mohammadi K, Khorshiddoust AM. Assessing wind energy potential in Kurdistan province, Iran, International Journal of Energy and Environmental Engineering, 2014; 5, 100.
• Alam MM, Azad AK. Wind Energy Analysis for 3 Prospective Coastal Sites of Bangladesh. In: Proceedings of the International Conference on Industrial Engineering and Operations Management Bali; 7-9 January 2014; Indonesia.
• Sadeghi M, Karimi M. GIS-Based Solar and Wind Turbine Site Selection Using Multi-Criteria Analysis: Case Study Tehran, Iran. The International Archives of the Photogrammetry, In: Remote Sensing and Spatial Information Sciences. XLII-4/W4, Tehran's Joint ISPRS Conferences of GI Research, SMPR and EOEC 2017, 7–10 October 2017; Tehran, Iran. https://doi.org/10.5194/isprs-archives-XLII-4-W4-469-2017
• Chaouachi A, Covrig CF, Ardelean M. Multi-criteria selection of offshore wind farms: Case study for the Baltic States, Energy Policy, 2017; 103, 179-192.
• Latinopoulos D, Kechagia K. A GIS-Based multi-criteria evaluation for wind farm site selection A regional scale application in Greece, Renewable Energy, 2015; 78, 550-560. SZUREK M, BLACHOWSKI J, NOWACKA A. GIS-Based Wind Farm Location Multi-Criteria Analysis, Mining Science, 2014; 21, 65-81.
• Villacreses G, Gaona G, Martinez-Gomez J, Jijon DJ. Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador, Renewable Enegy, 2017; 109, 275-286.