Energy Yield Estimation, Installation and Monitoring of 3-Phase Grid Connected PV System

Energy Yield Estimation, Installation and Monitoring of 3-Phase Grid Connected PV System

This paper describes installation and analysis of photovoltaic system (PV) which has been installed in Soke/Aydin, Turkey. Generally, the PV systems are installed on roof according to inclination of roof as well north facade. Therefore, large losses occur. In order to minimize losses, for the first time in Turkey the PV panels were placed both on North and South facade with 15 and 10 degree angle to the South, contrary to traditional roof installed PV systems. In this way it was determined that efficiency of PV panels especially the ones that are positioned at North facade were increased by 10%. The simulation of the system was done using different sun irradiation sources such as Geomodel, Meteocontrol, Meteonom and PVGIS. The total DC power of the system is 155.3 kWp. Annual electricity production amount and performance ratio was calculated as 243 MWh and 80.9% respectively for the first year. The uncertainty of the models and calculation steps with respect to the average specific yield and average yield is estimated to be ± 7.1% assuming a simple standard deviation. The PV system has produced 50.522 kWh energy from January to April, 2014.

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  • [1] Basaran, K. Optimization of fuzzy logic controlled autonomous and grid connected wind-PV hybrid power system and application in Adnan Menderes University's Campus. Ph.D, Ege University, Izmir, Turkey, 2013.
  • [2] BNEF. The Future of Energy 2012 Results Book. Bloomberg New Energy Finance, New York, USA, 2012
  • [3] IEA. PVPS Report A Snopshot of Global PV 1992- 2013, International Energy Agency, France, 2014.
  • [4] EPIA. Global Market Outlook for Photovoltaic 2014-2018, European Photovoltaic Industry Association, Belgium, 2014
  • [5] Ma, J.; Man, K.L.; Ting, T.O.; Zhang, N.; Lim, E.G.; Guan, S.U.; Wong, P.W.H.; Krilavicius, T.; Saulevicius, D.; Lei, C.U. Simple Computational method of predicting electrical characteristics in solar cells. Elektronika IR Elektrotechnica, 2010: Vol. 20, pp. 41-44.
  • [6] Reich, N.H.; Goebel, A.; Dimberger, D.; Kiefer, K. System performance analysis and estimation of degradation rates based on 500 years of monitoring data. In: 38th IEEE PV Specialists Conference, 3-8 June 2012.
  • [7] Jordan, D.C.; Kurtz, S.R. Photovoltaic degradation rates an analytical review. Progress in Photovoltaics: research and Applications. 2013: Vol.1, pp. 12-29.
  • [8] EN 61724. Photovoltaic system performance monitoring. Guidelines for measurement, data exchange and analysis, 2015.
  • [9] Gihiani, E.; Pilo, F.; Cossu, S.; Srl, E.S. On the performance ratio of photovoltaic installations. In: PowerTech Conference, Grenoble, Grenoble, France, 16-20 June 2013.
  • [10] NREL. Performance parameters for gridconnected PV systems, National Renewable Energy Laboratory, ABD, 2005.
  • [11] ESNL. U.S. Department of Energy and Sandia National Laboratories, Study guide for photovoltaic system installers and sample examination questions. North American Board of NABCEP Certified Energy Practitioners, 2005.
  • [12] TSE 498. Design Loads for Buildings. Turkish Standards Institution, Ankara, 1997.
  • [13] TSE 648. Building Code for Steel Structures. Turkish Standards Institution, Ankara, 1980.
  • [14] TSE 500. Requırements for Design and Construction Reinforced Concrete Structures. Turkish Standards Institution, Ankara, 2000.