The paper presents a photovoltaic system auto sizing algorithm with irradiance and shading calculation, which uses the photovoltaic geographical information system database. This calculation step is a very labor intensive task, which require a lot of iterative design time to find the optimum alternative. Based on measurement data, monthly irradiance correction matrixes are simulated to completely describe the yearly irradiance loss caused by shading of the nearby objects. As result, a function between the shaded area and the yearly energy loss can be obtained. Furthermore, photovoltaic modules can be auto-allocated on a given area according to the boundary conditions. Taking into consideration the photovoltaic installers’ pricing system, a complete photovoltaic auto-sizing algorithm can be presented, which greatly reduces the time spent on quotation writing. This paper also includes a battery energy storage sizing algorithm according to the given economic conditions, which extends the capability of the photovoltaic system auto-sizing algorithm.
Raza M. Q. , Nadarajah M., Ekanayake C. On recent advances in PV output power forecast, Solar Energy, Vol. 136, 2016, pp. 125–144.
Ineichen P. , Barroso C. S., Geiger B., Hollmann R., Marsouin A., Müller R. Satellite application facilities irradiance products: hourly time step comparison and validation over Europe, International Journal of Remote Sensing, Vol. 30, No. 21, 2009, pp. 5549–5571.
Huld T. , Müller R., Gambardella A. A new solar radiation database for estimating PV performance in Europe and Africa, Solar Energy, Vol. 86, No. 6, 2012, pp. 1803–1815.
Lu H. , Lu L., Wang Y. Numerical investigation of dust pollution on a solar photovoltaic (PV) system mounted on an isolated building, Applied Energy, Vol. 180, 2016, pp. 27–36.
de Simón-Martín M. D. íez-Mediavilla M. Alonso-Tristán C. Shadow-band radiometer measurement of diffuse solar irradiance, Calculation of geometrical and total correction factors, Solar Energy, Vol. 139, 2016, pp. 85–99.
Zaihidee F. M. , Mekhilef S., Seyedmahmoudian M., Horan B. Dust as an unalterable deteriorative factor affecting PV panel’s efficiency: Why and how, Renewable and Sustainable Energy Reviews, Vol. 65, 2016, pp. 1267–1278.
Hollinger R. , Wille-Haussmann B., Erge T., Sönnichsen J., Stillahn T., Kreifels K., Wittwer K. Kurzgutachten zur Abschätzung und Einordnung energiewirtschaftlicher, ökonomischer und anderer Effekte bei Förderung von objektgebunden elektrochemischen Speichern, SPEICHERSTUDIE 2013, Fraunhofer-Institut für Solare Energiesysteme, ISE, 2013.
Lorenz C. , Schröder G. Wirtschaftlichkeit Batteriespeicher, Leipziger Institut für Energie GmbH, Leipzig, Germany, 2014.
Sonnenbatterie Eco Battery Storage OEM Specification, (http://www.seacoastenergy.com/new_items/Resources/sonnen_eco_US%20Datasheet_March%202016.pdf, (last visited 2 June 2016).
Won M. S. , Ju K. S., Hur D. Optimized installation and operations of battery energy storage system and electric double layer capacitor modules for renewable energy based intermittent generation, Journal of Electrical Engineering Technology, Vol. 8, No. 2, 2013, pp. 238–243.
European Energy Exchange Market Data, 2015, http://www.eex.com/en/ (last visited 2 September 2016).
Beaudin M. , Zareipour H. Home energy management systems: A review of modeling and complexity, Renewable and Sustainable Energy Reviews, Vol. 45, 2015, pp. 318–335.
Sharma V. , Chandel S. S. Performance and degradation analysis for long term reliability of solar photovoltaic systems, A review, Renewable and Sustainable Energy Reviews, Vol. 27, 2013, pp.753–767.
Zakeri B. , Syri S. Electrical energy storage systems: A comparative life cycle cost analysis, Renewable and Sustainable Energy Reviews, Vol. 43, 2015, pp. 569–596.
http://www.bundesnetzagentur.de/cln_1411/DE/Sachgebiete/ElektrizitaetundGas/Unterneh men_Institutionen/ErneuerbareEnergien/ZahlenDatenInformationen, (last visited 9 September 2015).
Kota L. , Jarmai K. Efficient algorithms for optimization of objects and systems, Pollack Periodica, Vol. 9, No. 1, 2014, pp. 121–132.
Wirth H. Aktuelle Fakten zur Photovoltaik in Deutschland, Fraunhofer ISE, 2016.
Sharp NC-RC260 PV module OEM Specification, http://www.sharp-cee.com/ cps/rde/xchg/scee/hs.xsl/-/html/product-details-solar-modules-2189.htm?product=NDRC260, (last visited 2 September 2016).
ABB Trio Inverter OEM Specification, https://www.google.hu/search?q=abb+trio&oq=abb+trio&aqs=chrome..69i57j69i60l5.2836j0j7&sourceid=chrome&ie=UTF-8, (last visited 22 October 2016).
Orosz T. , Sleisz Á., Tamus Z. Á. Metaheuristic optimization preliminary design process of core-form autotransformers, IEEE Trans. Magn. Vol. 52, No. 4, 2016, pp. 1–10.