AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan
Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
,
Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
,
Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
1 Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
2 Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
3 Department of Geographic Information Systems and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan
The aim of this study was to identify potential sites for wind turbine in the North West of Jordan. The Analytic Hierarchy Process (AHP) was used in a novel approach to identify the potential sites for the wind turbine in the study area based on five physical criteria (Wind Speed, Rainfall, Slope, Altitude and Land use) that affect the wind turbine sites. The importance of each criterion was based on experts’ opinions. The ratings for each criterion w ere based on the available literature review. The consistency ratio between the experts ’ opinions w as evaluated using the pairwise comparison method and a final weight was computed for each criterion. A wind turbine suitability map was generated using the weighted linear combination (WLC) method within GIS environment. It was found that 45% of the study area has high and very high suitability for wind turbine. In conclusion, this research will contribute to the enhancement of the available renewable energy resources in Jordan if the selected sites will be utilized for wind turbine.
KeywordsGISAHPSite SelectionWind TurbineJordan
Nestmann, F. and Maskey, R.K. (1998) Hydropower: A Regenerative Energy Source from the Sun. Energi, No. 2, 9-16.
Borowy, B.S. and Salameh, Z.M. (1996) Methodology for Optimally Sizing the Combination of a Battery Bank and PV Array in a Wind/PV Hybrid System. IEEE Transactions on Energy Conversion, 11, 367-375. http://dx.doi.org/10.1109/60.507648
Chedid, R. and Rahman, S. (1997) Unit Sizing and Control of Hybrid Wind-Solar Power Systems. IEEE Transactions on Energy Conversion, 12, 79-85. http://dx.doi.org/10.1109/60.577284
Borowy, B.S. and Salameh, Z.M. (1994) Optimum Photovoltaic Array Size for a Hybrid Wind/PV System. IEEE Transactions on Energy Conversion, 9, 482-488. http://dx.doi.org/10.1109/60.326466
Elhadidy, M.A. and Shaahid, S.M. (2000) Parametric Study of Hybrid (Wind + Solar + Diesel) Power Generating Systems. Renewable Energy, 21, 129-139. http://dx.doi.org/10.1016/S0960-1481(00)00040-9
Elhadidy, M.A. (2002) Performance Evaluation of Hybrid (Wind/Solar/Diesel) Power Systems. Renewable Energy, 26, 401-413. http://dx.doi.org/10.1016/S0960-1481(01)00139-2
Ammari, H.D. and Al-Maaitah, A. (2003) Assessment of Wind-Generation Potentiality in Jordan Using the Site Effectiveness Approach. Energy, 28, 1579-1592. http://dx.doi.org/10.1016/S0360-5442(03)00152-X
Bsieso, M.S. (2003) Jordan’s Experience in Oil Shale Studies Employing Different Technologies. Oil Shale, 20, 360-370.
Kablan, M.M. (2004) Decision Support for Energy Conservation Promotion: An Analytic Hierarchy Process Approach. Energy Policy, 32, 1151-1158. http://dx.doi.org/10.1016/S0301-4215(03)00078-8
Hrayshat, E.S. (2005) Wind Availability and Its Potentials for Electricity Generation in Tafila, Jordan. Renewable and Sustainable Energy Reviews, 9, 111-117. http://dx.doi.org/10.1016/j.rser.2004.01.011
WECSP (2009) Capacity Building in Wind Energy and Concentrating Solar Power in Jordan. http://www.wecsp.org.jo/content/energy-jordan
Abu Taha, R. and Daim, T. (2013) Multi-Criteria Applications in Renewable Energy Analysis, a Literature Review. In: Daim, T., et al., Eds., Research and Technology Management in the Electricity Industry, Green Energy and Technology, Springer-Verlag, London. http://dx.doi.org/10.1007/978-1-4471-5097-8_2
Giupponi, C., Mysiak, J., Fassio, A. and Cogan, V. (2004) MULINO-DSS: A Computer Tool for sustainable Use of Water Resources at the Catchment Scale. Mathematics and Computers in Simulation, 64, 13-24. http://dx.doi.org/10.1016/j.matcom.2003.07.003
Johnson, M.P. (2005) Spatial Decision Support for Assisted Housing Mobility Counseling. Decision Support Systems, 41, 296-312. http://dx.doi.org/10.1016/j.dss.2004.08.013
Rinner, C. and Taranu, J.P. (2006) Map-Based Exploratory Evaluation of Non-Medical Determinants of Population Health. Transactions in GIS, 10, 633-649. http://dx.doi.org/10.1111/j.1467-9671.2006.01016.x
Proulx, F., Rodriguez, M.J., Sérodes, J. and Bouchard, C. (2007) A Methodology for Identifying Vulnerable Locations to Taste and Odour Problems in a Drinking Water System. Water Science and Technology, 55, 177-183. http://dx.doi.org/10.2166/wst.2007.177
Carsjens, G.J. and Ligtenberg, A. (2007) A GIS-Based Support Tool for Sustainable Spatial Planning in Metropolitan Areas. Landscape and Urban Planning, 80, 72-83. http://dx.doi.org/10.1016/j.landurbplan.2006.06.004
Jankowski, P., Ligmann-Zielinska, A. and Swobodzinski, M. (2008) Choice Modeler: A Web-Based Spatial Multiple Criteria Evaluation Tool. Transactions in GIS, 12, 541-561. http://dx.doi.org/10.1111/j.1467-9671.2008.01111.x
Zucca, A., Sharifi, A.M. and Fabbri, A.G. (2008) Application of Spatial Multi-Criteria Analysis to Site Selection for a Local Park: A Case Study in the Bergamo Province, Italy. Journal of Environmental Management, 88, 752-769. http://dx.doi.org/10.1016/j.jenvman.2007.04.026
Baud, I., Sridharan, N. and Pfeffer, K. (2008) Mapping Urban Poverty for Local Governance in an Indian Mega-City: The Case of Delhi. Urban Studies, 45, 1385-1412. http://dx.doi.org/10.1177/0042098008090679
Baban, S.M.J. and Parry, T. (2001) Developing and Applying a GIS-Assisted Approach to Locating Wind Farms in the UK. Renewable Energy, 24, 59-71. http://dx.doi.org/10.1016/S0960-1481(00)00169-5
Rodman, L.C. and Meentemeyer, R.K. (2006) A Geographic Analysis of Wind Turbine Placement in Northern California. Energy Policy, 34, 2137-2149. http://dx.doi.org/10.1016/j.enpol.2005.03.004
Tegou, L., Polatidis, H. and Haralambopoulos, D. (2010) Environmental Management Framework for Wind Farm Siting: Methodology and Case Study. Journal of Environmental Management, 91, 2134-2147. http://dx.doi.org/10.1016/j.jenvman.2010.05.010
Aydin, N.Y., Kentel, E. and Duzgun, S. (2010) GIS-Based Environmental Assessment of Wind Energy Systems for Spatial Planning: A Case Study from Western Turkey. Renewable and Sustainable Energy Reviews, 14, 364-373. http://dx.doi.org/10.1016/j.rser.2009.07.023
Janke, J. (2010) Multicriteria GIS Modeling of Wind and Solar Farms in Colorado. Renewable Energy, 35, 2228-2234. http://dx.doi.org/10.1016/j.renene.2010.03.014
Saaty, T.L. (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. Mcgraw-Hill, New York.
Malczewski, J. (1999) GIS and Multicriteria Decision Analysis. John Wiley and Sons, New York.
Saaty, T.L. (1990) How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48, 9-26. http://dx.doi.org/10.1016/0377-2217(90)90057-I
Mendoza, G. and Prabhu, R. (2000) Multiple Criteria Decision Making Approaches to Assessing Forest Sustainability Using Criteria and Indicators: A Case Study. Forest Ecology and Management, 131, 107-126. http://dx.doi.org/10.1016/S0378-1127(99)00204-2
Ozturk, D. and Batuk, F. (2011) Implementation of GIS-Based Multicriteria Decision Analysis with VB in ArcGIS. International Journal of Information Technology and Decision Making, 10, 1023-1042. http://dx.doi.org/10.1142/S0219622011004695