Comparison of PV plant energy generation prediction tools with measured data

• Autorzy: Petrović I. , Šimić Z. , Raić M.

Warianty tytułu

PL

Porównanie metod przewidywania produkcji energii przez panele fotowoltaiczne

• Języki publikacji: EN

Abstrakty

EN

The object of this research is to compare three of the most popular conventional analytical models used for estimation of electrical energy production of photovoltaic panels. From this analysis a single model will be selected with the best characteristics for implementation of modifications and corrections in order to get better energy production prediction results. Monthly and annual production results and errors will be the main criteria for the selection of a single model. Single prediction results of the selected model should be as accurate as possible in the smallest time periods, which are in this case monthly energy prediction results. This should guarantee that annual results are also rather accurate.

PL

W artykule porównano trzy modele analityczne umożliwiające analizę energii elektrycznej wytwarzanej przez panele fotowoltaiczne. Analizuje się miesięczną i roczną produkcję energii na podstawie wybranych okresów czasowych.

Słowa kluczowe

EN

PV plant; conventional analytical model; electrical energy production

PL

ogniwa fotowoltaiczne; prognozowanie produkcji energii; panele fotowoltaiczne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 6
• Strony: 121--124
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Petrović I.

• Technical College in Bjelovar

autor

Šimić Z.

• University of Zagreb, Faculty of Electrical Engineering and Computing

autor

Raić M.

• University of Zagreb, Faculty of Electrical Engineering and Computing

Bibliografia

• [1] R. Chenni, M. Makhlouf, T. Kerbache, A. Bouzid: A detailed modeling method for photovoltaic cells, Energy 32 (2007), pages 1724–1730
• [2] T. Kerekes, E. Koutroulis, S. Eyigün, R. Teodorescu, M. Katsanevakis, D. Sera: A Practical Optimization Method for Designing Large PV Plants, ISIE 2011, 2011 IEEE International Symposium in Industrial Electronics, Poland, 27-30 june 2011, pages 2051 – 2056
• [3] André Coelho, Rui Castro: Sun Tracking PV Power Plants: Experimental Validation of Irradiance and Power Output Prediction Models, International journal of Renewable energy research, Vol.2, No.1, 2012
• [4] Ahmet Senpinar, Mehmet Cebeci: Evaluation of power output for fixed and two-axis tracking Pvarrays; Energy 92, Elsevier Ltd., 2012, pages 677-685
• [5] Steve R. Best, Julie A. Rodiek, Henry W. Brandhorst Jr.: Comparison of solar modeling data to actual pv installations: power predictions and optimal tilt angles, 37th IEEE Photovoltaic Specialists Conference (PVSC), 2011, pages 1994-1999
• [6] Ali Naci Celik, Nasır Acikgoz: Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models, Applied Energy 84, 2007, pages 1 – 15
• [7] E. Kymakis, S. Kalykakis, T. M. Papazoglou: A photovltaic park's performance on the island of Crete, Energija 57 (2008), Nr. 3, pages 300-311
• [8] Francisco Javier Gómez-Gil, Xiaoting Wang, Allen Barnett: Energy production of photovoltaic systems: Fixed, tracking, and concentrating, Renewable and Sustainable Energy Reviews 16, Elsevier Ltd., 2012, pages 306– 313
• [9] R. Pašičko, Č. Branković, Z. Šimić: Assessment of Climate Change Impacts on Energy Generation from Renewable Sources in Croatia, Generation from RES Croatia, Renewable Energy. 46 (2012) , October 2012; pages 224-231
• [10] Matic Z.: Solar radiation in Republic of Croatia, Croatian Energy Institute ‘‘Hrvoje Pozar’', Zagreb, 2005
• [11] Mohammad Saad Alam, David W. Gao: Modeling and Analysis of a Wind/PV/Fuel Cell Hybrid Power System in HOMER, Industrial Electronics and Applications, 2007. ICIEA 2007, Second IEEE Conference on Industrial Electronics and Applications 2007, pages 1594 – 1599
• [12] Nurul Arina bte Abdull Razak, Muhammad Murtadha bin Othman, Ismail Musirin: Optimal Sizing and Operational Strategy of Hybrid Renewable Energy System Using HOMER, The 4th International Power Engineering and Optimization Conf. (PEOCO2010), Shah Alam, Selangor, MALAYSIA: 23-24 June 2010, pages 495 – 501
• [13] Kandula Murali Krishna: Optimization Analysis of Microgrid using Homer- A Case Study, India Conference (INDICON), 2011 Annual IEEE 2011, pages 1 – 5
• [14] T. Givler and P. Lilienthal: Using HOMER® Software, NREL’s Micropower Optimization Model, to Explore the Role of Gensets in Small Solar Power Systems, Case Study: Sri Lanka, Technical Report, NREL/TP-710-36774, May 2005.
• [15] Sun Jianping: An optimum layout scheme for photovoltaic cell arrays using PVSYST, International Conference on Mechatronic Science, Electric Engineering and Computer, August 19-22, 2011, Jilin, China, pages 243 – 245