Novel Photovoltaic Empirical Mathematical Model Based on Function Representation of Captured Figures from Commercial Panels Datasheet

Ola Hassan, Nahla Zakzouk and Ahmed Abdelsalam
Additional contact information
Ola Hassan: Basic and Applied Science Department, College of Engineering and Technology, Arab Academy for Science and Technology (AAST), Smart Village Campus, Giza 12577, Egypt
Nahla Zakzouk: Electrical Engineering Department, College of Engineering and Technology, Arab Academy for Science and Technology (AAST), Abo Kir Campus, Alexandria 1029, Egypt
Ahmed Abdelsalam: Electrical Engineering Department, College of Engineering and Technology, Arab Academy for Science and Technology (AAST), Abo Kir Campus, Alexandria 1029, Egypt

Mathematics, 2022, vol. 10, issue 3, 1-29

Abstract: Photovoltaic (PV) technology is gaining much interest as a clean, sustainable, noise-free source of energy. However, the non-linear behavior of PV modules and their dependency on varying environmental conditions require thorough study and analysis. Many PV modeling techniques have been introduced in the literature, yet they exhibit several complexity levels for parameter extraction and constants estimation for PV power forecast. Comparatively, a simple, accurate, fast, and user friendly PV modeling technique is proposed in this paper featuring the least computational time and effort. Based on function representation of PV curves’ available in PV datasheets, an empirical mathematical equation is derived. The proposed formula is considered a generic tool capable of modeling any PV device under various weather conditions without either parameter estimation nor power prediction. The proposed model is validated using experimental data of commercial PV panels’ manufacturers under various environmental conditions for different power levels. The obtained results verified the effectiveness of the proposed PV model.

Keywords: PV model; PV datasheet; non-linear PV characteristics; empirical mathematical model; standard testing condition (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/3/476/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/3/476/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:3:p:476-:d:740575

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().