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International Journal of Photoenergy
Volume 2017, Article ID 6392635, 12 pages
Research Article

Comparison of Turkey’s Geographical Regions in terms of Stand-Alone PV System Design and Cost Parameters

Faculty of Engineering, Department of Electrical and Electronics Engineering, Manisa Celal Bayar University, Şehit Prof. Dr. İlhanVarank Campus, 45100 Manisa, Turkey

Correspondence should be addressed to Nevzat Onat; rt.ude.ubc@tano.tazven

Received 30 July 2017; Accepted 25 September 2017; Published 26 October 2017

Academic Editor: Ahmad Umar

Copyright © 2017 Nevzat Onat. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Stand-alone photovoltaic (SAPV) systems are widely used in rural areas where there is no national grid or as a precaution against power outages. In this study, technical and economic analysis of a SAPV system was carried out using meteorological data for 75 province centers in seven geographical regions of Turkey. Obtained results for each province center were separated by geographical area. The averages of the centers for each region are taken as output. A calculation algorithm based on MsExcel has been established for these operations. The analyses made with the developed algorithm are repeated for five different scenarios that they cover periods of time when a constant strong load is active for all seasons (winter, spring, summer, and autumn) and all year round. The developed algorithm calculates the life-cycle cost, the unit energy cost, the electrical capacity utilization rate, the amount of generated/excess energy per month, the initial investment/replacement, and operating and maintenance (O&M) costs of each element. As a result, geographical regions of Turkey are compared in terms of these outputs graphically. Further investigations may include the sale of excess energy generated, small-scale PV system cost factors parallel to the grid, and the effects of government incentives.