Multi-criteria decision-making in the location selection for a solar PV power plant using AHP

Abstract In today’s competitive and connected environment, many countries value effective management of solar energy due to both technological developments and government policies which consider renewable energy improvement along with the effective use of resources. In light of this, in this study, three different locations representing Igdir University, Melekli and Kulluk local regions of Turkey are examined to find the best place for setting up a solar PV power plant. First, the optimum azimuth angle of each location is found in terms of Ed, Em, Hd and Hm values taking daily and monthly irradiation via both pyranometer and Photovoltaic Geographical Information System (PVGIS). Then, Analytic Hierarchy Process (AHP) is used to evaluate locations taking into consideration both quantitative and qualitative factors which play an effective role on the electricity production. The problem is solved in two ways; i) using the exact amount of electricity production data achieved by measurement and ii) using linguistic data provided by a decision maker. Based on results, Kulluk is the ideal location for installation of PV power plant.

[1]  Medugu,et al.  Construction of a reliable model pyranometer for irradiance measurements , 2010 .

[2]  Alfred Inselberg,et al.  Parallel Coordinates: Visual Multidimensional Geometry and Its Applications , 2003, KDIR.

[3]  M. Wade,et al.  Three-dimensional study of a polycrystalline silicon solar cell: the influence of the applied magnetic field on the electrical parameters , 2011 .

[4]  Lloyd W. Massengill,et al.  Single-Event Effects Induced by Through-Wafer Sub-Bandgap Two-Photon Absorption , 2007 .

[5]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[6]  Seyed Hassan Ghodsypour,et al.  A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming , 1998 .

[7]  Gokhan Sahin,et al.  Effect of wavelength on the electrical parameters of a vertical parallel junction silicon solar cell illuminated by its rear side in frequency domain , 2016 .

[8]  Kazuya Fujisawa,et al.  Calibration of Pyranometers for the Photovoltaic Device Field , 1990 .

[9]  G. Sahin,et al.  Effect of incidence angle on the electrical parameters of vertical parallel junction silicon solar cell under frequency domain , 2016 .

[10]  Adisa Azapagic,et al.  Renewable electricity in Turkey: Life cycle environmental impacts , 2016 .

[11]  Filippo Attivissimo,et al.  An Extensive Unified Thermo-Electric Module Characterization Method , 2016, Sensors.

[12]  F. I. Barro,et al.  Incidence angle and spectral effects on vertical junction silicon solar cell capacitance , 2014 .

[13]  Farzad Tahriri,et al.  AHP approach for supplier evaluation and selection in a steel manufacturing company , 2008 .

[14]  Santo Martinuzzi,et al.  Influence of dislocations on electrical properties of large grained polycrystalline silicon cells. I. Model , 1989 .

[15]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .

[16]  J. J. Serrano,et al.  A Decentralized Wireless Solution to Monitor and Diagnose PV Solar Module Performance Based on Symmetrized-Shifted Gompertz Functions , 2015, Sensors.

[17]  Masoud Rahiminezhad Galankashi,et al.  Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach , 2016 .

[18]  J. J. Navarrete-González,et al.  National Pyranometers comparison of solar thermal labs in Mexico , 2017 .

[19]  Anders Branth Pedersen,et al.  Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis , 2017 .

[20]  Antti Arola,et al.  Effective aerosol optical depth from pyranometer measurements of surface solar radiation (global radiation) at Thessaloniki, Greece , 2012 .

[21]  José Manuel Andújar Márquez,et al.  A New and Inexpensive Pyranometer for the Visible Spectral Range , 2009, Sensors.

[22]  Hadis Morkoç,et al.  Surface recombination in GaAs PN junction diode , 1993 .

[23]  C. Cañizo,et al.  Crystalline Silicon Solar Cells and Modules , 2011 .

[24]  Aime Lay-Ekuakille,et al.  Effects of Dust on Photovoltaic Measurements: A Comparative Study , 2018 .

[25]  Ahmed Alami Merrouni,et al.  Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco , 2018 .

[26]  Lei Gao,et al.  Low Cost Pyranometer for Broad Range and Its Credibility Check with Standard Pyranometer , 2015 .

[27]  Ertuğrul Çam,et al.  Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey , 2017 .

[28]  Jerry M. Mendel,et al.  Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..

[29]  Anjali Awasthi,et al.  Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia , 2017 .

[30]  R. Walraven.  Calculating the position of the sun , 1978 .

[31]  Pradip Kumar Sadhu,et al.  New Location Selection Criterions for Solar PV Power Plant , 2014 .

[32]  Gary S. May,et al.  Fundamentals of Semiconductor Fabrication , 2003 .

[33]  Anthony Mfonobong Umoren,et al.  Development of Optimal Site Selection Method for Large Scale Solar Photovoltaic Power Plant , 2016 .

[34]  A. Ibrahim,et al.  Analysis of Electrical Characteristics of Photovoltaic Single Crystal Silicon Solar Cells at Outdoor Measurements , 2011 .

[35]  Martin K. Patel,et al.  GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa , 2018 .