Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system

Optimal site selection for desert photovoltaic power plants is important to energy output and involves a multicriteria evaluation of many factors. This paper analyzes the factors influencing desert photovoltaic power station site selection and establishes an optimal site selection model for desert photovoltaic power plants using an analytic hierarchy process and geographic information system technology. We selected a typical desert area in northwestern China as the research location to test the model. Validation results were ideal, and the model successfully displayed the optimal site for desert photovoltaic power plants, from which the most suitable site for desert photovoltaic power plants could be selected.

[1]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[2]  E. Skoplaki,et al.  ON THE TEMPERATURE DEPENDENCE OF PHOTOVOLTAIC MODULE ELECTRICAL PERFORMANCE: A REVIEW OF EFFICIENCY/ POWER CORRELATIONS , 2009 .

[3]  Adel Mellit,et al.  A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices approach , 2005 .

[4]  F. S. Tymvios,et al.  Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation , 2005 .

[5]  S. Silvestre,et al.  Effects of shadowing on photovoltaic module performance , 2008 .

[6]  Rk Aggarwal,et al.  New correction factor for the estimation of solar radiation , 2009 .

[7]  D. Goossens,et al.  Aeolian dust deposition on photovoltaic solar cells: the effects of wind velocity and airborne dust concentration on cell performance , 1999 .

[8]  Victor Nnamdi Dike,et al.  Evaluation of horizontal surface solar radiation levels in southern Nigeria , 2011 .

[9]  Rohit Pillai,et al.  Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations , 2010 .

[10]  P. Burrough,et al.  FUZZY CLASSIFICATION METHODS FOR DETERMINING LAND SUITABILITY FROM SOIL PROFILE OBSERVATIONS AND TOPOGRAPHY , 1992 .

[11]  Adnan Sözen,et al.  Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data , 2004 .

[12]  Wenli Yang,et al.  Solar and wind energy resources and prediction , 2009 .

[13]  M. M. Beheary,et al.  Effect of dust on the transparent cover of solar collectors , 2006 .

[14]  J. Arán Carrión,et al.  The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain) , 2008 .

[15]  J. Arán Carrión,et al.  Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants , 2008 .