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Optimization of PV system and technology in view of a load profile-case of public building in Turkey

The optimum sizing of PV technologies depends on certain variables such as the daily energy consumption of buildings and available solar potential of the location. The purpose of this paper is to define the optimum PV panel area with no battery system to supply the daytime electricity usage of a Vocational School in Şanlıurfa, Turkey. First, the maximum PV panel areas are found at the 100 % self-consumption for the Mono-Si, Multi-Si and CdTe PV technologies. Besides, for defining optimum installation powers, an economic analysis has been carried out. The seasonal performances of economical optimum capacities are investigated under the feed-in tariff scenario. At %100 self-consumption, the maximum PV panel areas are found 130 m2, 160 m2 and 170 m2 for Mono-Si, Multi-Si and CdTe respectively. The results show that the installation of Mono-Si (115 m2), Multi-Si (150 m2) and CdTe (210 m2) PV systems at 1.65, 1.75 and 2.3 times as the daily peak electricity consumption, is the most optimal selection according to economic indicators.
PAPER REVISED: 2018-06-15
PAPER ACCEPTED: 2018-10-11
  1. Green M.A., et al., Solar cell efficiency tables (version 50), Prog Photovolt Res Appl., 2017, 25, pp. 668-676
  2. Mehrabankhomartash, M., et al., Practical battery size optimization of a PV system by considering individual customer damage function, Renewable and Sustainable Energy Reviews, 67, (2017), pp. 36-50
  3. Okoye, C.O., Oğuz Solyalı, O., Optimal sizing of stand-alone photovoltaic systems in residential buildings, Energy, 126 (2017), pp. 573-584
  4. Yılmaz, S., et al., The analysis of different PV power systems for the determination of optimal PV panels and system installation—A case study in Kahramanmaras, Turkey, Renewable and Sustainable Energy Reviews, 52 (2015), pp. 1015-1024
  5. Hong, T., et al., Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis, Applied Energy, 194 (2017), pp. 320-332
  6. Ordonez J., et al., Analysis of the Photovoltaic Solar Energy Capacity of Residential Rooftops in Andalusia (Spain), Renewable and Sustainable Energy Reviews,14 (2010), pp.2122-30
  7. Armendariz-Lopez, J.F., et al., Life cycle cost of photovoltaic technologies in commercial buildings in Baja California, Mexico, Renewable Energy, 87, (2016), 1, pp. 564-571
  8. Kucuksari, S., et al., An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments, Applied Energy, 113 (2014), pp.1601-1613
  9. Merei, G., et al., Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications, Applied Energy, 168 (2016), pp.171-178
  10. Martín-Chivelet, N., Montero-Gómez, D., Optimizing photovoltaic self-consumption in office buildings, Energy and Buildings, 150 (2017), pp. 71-80
  11. Numbi, B.P., Malinga, S.J., Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa, Applied Energy, 186 (2017), 1, pp. 28-45
  12. Hartner, M., et al., Optimal sizing of residential PV-systems from a household and social cost perspective: A case study in Austria, Solar Energy, 141(2017), pp. 49-58
  13. Bertsch, V., et al., What drives the profitability of household PV investments, self-consumption and self-sufficiency?, Applied Energy, 204(2017), pp. 1-15
  14. Duffie, J.A., Beckman, W.A., Solar Engineering Thermal Process, Wiley Interscience, New York, 1991
  15. Bhandari, K.P., et al., Energy payback time (EPBT) and energy return on energy invested (EROI) of solar photovoltaic systems: A systematic review and meta-analysis, Renewable and Sustainable Energy Reviews, 47 (2015), pp. 133-141
  16. Honrubia-Escribano, A., et al., Influence of solar technology in the economic performance of PV power plants in Europe. A comprehensive analysis, Renewable and Sustainable Energy Reviews, 82 (2018), 1, pp.488-501