A new approach to comparing photovoltaic simulation software

被引:2
作者
Betti, Tihomir [1 ,3 ]
Bevanda, Ivan [2 ]
Marasovic, Ivan [1 ]
Zulim, Ivana [1 ]
机构
[1] Univ Split, Fac Elect Engn Mech Engn & Naval Architecture, Dept Elect & Comp, Split, Croatia
[2] Univ Mostar, Fac Mech Engn Comp & Elect Engn, Mostar, Bosnia & Herceg
[3] Univ Split, Fac Elect Engn Mech Engn & Naval Architecture, Dept Elect & Comp, Rudjera Boskov 32, HR-21000 Split, Croatia
关键词
Photovoltaic system; simulation; modeling; comparison; energy yield; LONG-TERM PERFORMANCE; SYSTEMS; DESIGN; MODULES;
D O I
10.1080/15567036.2023.2215196
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this work, a new approach to comparing photovoltaic simulation tools is proposed. It combines so-called cross-validation analysis along with a comparison to measured data from the real PV system. PV*SOL and PVsyst, as two professional tools widely used among PV professionals, are chosen for comparison. Cross-validation was applied to 83 European locations to account for geographical and climate dependence of simulation accuracy. The locations are divided into five groups according to Koppen-Geiger climate classification. Statistics of variation between simulation results are presented. Both seasonal and variations between locations with different climates are studied. The results showed that PVsyst tends to estimate higher plane-of-array radiation, but the difference in estimated energy is smaller. This difference is more pronounced for locations with hot and dry climates. Overall, the difference in monthly values between simulation tools for most locations remains within +/- 10%. Comparison with measurement was presented for a 5-year operation period of 31 kWp grid-connected PV system installed on the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, Croatia. Booth tools accurately predicted annual and monthly yield, with nRMSE less than 3.2% for the complete period under study.
引用
收藏
页码:6290 / 6304
页数:15
相关论文
共 46 条
[1]   Performance analysis and comparison between bifacial and monofacial solar photovoltaic at various ground albedo conditions [J].
Alam, Marzia ;
Gul, Mehreen Saleem ;
Muneer, Tariq .
RENEWABLE ENERGY FOCUS, 2023, 44 :295-316
[2]  
[Anonymous], 2008, 2008 33 IEEE PHOT SP, DOI DOI 10.1109/PVSC.2008.4922865
[3]  
[Anonymous], 2023, SYST ADV MOD SAM
[4]  
[Anonymous], 2023, PVWATTS CALC
[5]  
[Anonymous], Climate-Dataorg Climate Data for Cities Worldwide
[6]   Accuracy analysis of software for the estimation and planning of photovoltaic installations [J].
Axaopoulos P.J. ;
Fylladitakis E.D. ;
Gkarakis K. .
International Journal of Energy and Environmental Engineering, 2014, 5 (01) :1-8
[7]   Present and future Koppen-Geiger climate classification maps at 1-km resolution [J].
Beck, Hylke E. ;
Zimmermann, Niklaus E. ;
McVicar, Tim R. ;
Vergopolan, Noemi ;
Berg, Alexis ;
Wood, Eric F. .
SCIENTIFIC DATA, 2018, 5
[8]   Comparative Analysis of the Measured and Simulated Performances of a Grid-Connected Photovoltaic Power Plant [J].
Benfares, Mourad ;
Edrissi, Sanae Janati ;
Benbrahim, Mohammed ;
Zorkani, Izeddine ;
Jorio, Anouar ;
Seddik, Ali Didi .
FDMP-FLUID DYNAMICS & MATERIALS PROCESSING, 2022, 18 (06) :1805-1813
[9]   A new method to extract the equivalent circuit parameters of a photovoltaic panel [J].
Chaibi, Y. ;
Salhi, M. ;
El-jouni, A. ;
Essadki, A. .
SOLAR ENERGY, 2018, 163 :376-386
[10]   Performance analysis outcome of a 19-MWp commercial solar photovoltaic plant with fixed-tilt, adjustable-tilt, and solar tracking configurations [J].
Chandel, Rahul ;
Chandel, Shyam Singh .
PROGRESS IN PHOTOVOLTAICS, 2022, 30 (01) :27-48