An Integrated Decision-Making Model for the Location of a PV Solar Plant

Due to the increasing demand for electricity, the depletion of fossil fuels and the increase in environmental consciousness, generating power from renewable energy resources has become necessary. How to select the most appropriate site is a critical and foremost decision that must be made when setting up a renewable energy plant. This research proposes a two-stage framework for evaluating the suitability of renewable energy plant site alternatives. In the first stage, a fuzzy analytic hierarchy process (FAHP) is adopted to set the assurance region (AR) of the quantitative factors, and the AR is incorporated into data envelopment analysis (DEA) to assess the efficiencies of plant site candidates. A few sites are selected for further analysis. In the second stage, experts are invited to evaluate the qualitative characteristics of the selected sites, and FAHP is used to calculate the priorities of these sites. Solar energy is one of the most promising renewable energy sources, because of its abundance, inexhaustibility, safety and cleanliness. Based on the proposed integrated decision-making model, a case study for selecting the most appropriate photovoltaic (PV) solar plant site is examined.

[1]  Antonio Luque,et al.  Handbook of photovoltaic science and engineering , 2011 .

[2]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[3]  Emmanuel Thanassoulis,et al.  Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions , 1997, Ann. Oper. Res..

[4]  Wen Lea Pearn,et al.  Product Mix Optimization for Semiconductor Manufacturing Based on AHP and ANP Analysis , 2005 .

[5]  Shiang-Tai Liu,et al.  Fuzzy efficiency measures in fuzzy DEA/AR with application to university libraries , 2009, Expert Syst. Appl..

[6]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[7]  Y. Azoumah,et al.  Siting guidelines for concentrating solar power plants in the Sahel: Case study of Burkina Faso , 2010 .

[8]  Zhengyi Yao,et al.  Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system , 2013 .

[9]  Amy H. I. Lee,et al.  A Performance Evaluation Model Using FAHP/DEA and the Malmquist Productivity Index to Assess the Photovoltaics Industry in Taiwan , 2014 .

[10]  Alexander Mitsos,et al.  Site selection for hillside central receiver solar thermal plants , 2011 .

[11]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[12]  D. Milosavljević,et al.  Assessments and perspectives of PV solar power engineering in the Republic of Srpska (Bosnia and Herzegovina) , 2013 .

[13]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[14]  S. Zionts,et al.  Programming with linear fractional functionals , 1968 .

[15]  J. Phillips,et al.  Determining the sustainability of large-scale photovoltaic solar power plants , 2013 .

[16]  Shiang-Tai Liu,et al.  A fuzzy DEA/AR approach to the selection of flexible manufacturing systems , 2008, Comput. Ind. Eng..

[17]  E. Radziemska.  The effect of temperature on the power drop in crystalline silicon solar cells , 2003 .

[18]  G. Coyle.  Analytic Hierarchy Process ( AHP ) , 2004 .

[19]  He-Yau Kang,et al.  A fuzzy ANP model for supplier selection as applied to IC packaging , 2012, J. Intell. Manuf..

[20]  Daniel Feuermann,et al.  Field installation versus local integration of photovoltaic systems and their effect on energy evaluation metrics , 2013 .

[21]  R. Yager.  On a general class of fuzzy connectives , 1980 .

[22]  Ching-Hsue Cheng,et al.  Evaluating weapon systems using ranking fuzzy numbers , 1999, Fuzzy Sets Syst..

[23]  Amy H. I. Lee,et al.  A model to analyze strategic products for photovoltaic silicon thin-film solar cell power industry , 2011 .

[24]  Martin A. Green,et al.  Solar cell efficiency tables (version 37) , 2011 .

[25]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[26]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[27]  Martin A. Green,et al.  Solar cell efficiency tables , 1993 .

[28]  Toshiyuki Sueyoshi,et al.  A unified framework for the selection of a Flexible Manufacturing System , 1995 .

[29]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

[30]  E. Radziemska,et al.  Thermally affected parameters of the current–voltage characteristics of silicon photocell , 2002 .

[31]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[32]  Emmanuel Thanassoulis,et al.  Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved Dmus , 1998 .

[33]  Pablo Aragonés-Beltrán,et al.  An ANP-based approach for the selection of photovoltaic solar power plant investment projects , 2010 .

[34]  Kaoru Tone,et al.  A comparative site evaluation study for relocating Japanese government agencies out of Tokyo , 2003 .

[35]  Amy H. I. Lee,et al.  An evaluation framework for product planning using FANP, QFD and multi-choice goal programming , 2010 .

[36]  Elias K. Stefanakos,et al.  The potential of harnessing solar radiation in Iran: Generating solar maps and viability study of PV power plants , 2013 .

[37]  T. Tsoutsos,et al.  Environmental impacts from the solar energy technologies , 2005 .