Next Article in Journal
A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems
Previous Article in Journal
Exergy Evaluation of a Heat Supply System with Vapor Compression Heat Pumps
Open AccessArticle

Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models

1
Croatian Transmission System Operator Ltd., 31000 Osijek, Croatia
2
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 31000 Osijek, Croatia
*
Author to whom correspondence should be addressed.
Energies 2019, 12(6), 1029; https://doi.org/10.3390/en12061029
Received: 23 January 2019 / Revised: 7 March 2019 / Accepted: 12 March 2019 / Published: 16 March 2019
This paper presents measurement uncertainty propagation through four basic photovoltaic cell models: One-diode model without resistances, with one resistance and with two resistances and two-diode model with two resistances. The expressions for the output current of all photovoltaic cell models is presented as a function of global irradiance G and temperature T. Next, the expressions for all fill factor parameters: short-circuit current, open-circuit voltage, current and voltage at the maximum power point, depending on the global irradiance G and temperature T are derived as well. For each parameter, Monte Carlo simulations to calculate the measurement uncertainty of the parameter are performed and the results were used as input values for the calculation of measurement uncertainty of fill factor. Practical calculations are performed in laboratory for renewable energy sources located on 45°32′ N and 18°44′ E. Final fill factor calculations are compared for three different module technologies. View Full-Text
Keywords: measurement uncertainty; Monte Carlo simulations; fill factor; photovoltaic cell model measurement uncertainty; Monte Carlo simulations; fill factor; photovoltaic cell model
Show Figures

Figure 1

MDPI and ACS Style

Tolić, I.; Primorac, M.; Miličević, K. Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models. Energies 2019, 12, 1029.

AMA Style

Tolić I, Primorac M, Miličević K. Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models. Energies. 2019; 12(6):1029.

Chicago/Turabian Style

Tolić, Ivan; Primorac, Mario; Miličević, Kruno. 2019. "Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models" Energies 12, no. 6: 1029.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop