Factorial design and response surface optimization for modeling photovoltaic module parameters
| Autor: | Chahinez Fares, Mohamed Boutoubat, Mustapha Arab, Abdallah Zegaoui, Fatma Zohra Kessaissia, Michel Aillerie |
|---|---|
| Přispěvatelé: | Aillerie, Michel, Université Hassiba Ben Bouali de Chlef (UHBC), Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), CentraleSupélec-Université de Lorraine (UL), LACOSERE, Université Amar Telidji - Laghouat, Université des sciences et de la Technologie d'Oran Mohamed Boudiaf [Oran] (USTO MB), Polytechnic Military School, B.P 17, EMP, Bordj-El-Bahri, 16111 Algiers, Algeria, Polytechnic Military School |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Surface (mathematics)
[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics] Maximum power principle [SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic 020209 energy 02 engineering and technology 7. Clean energy Photovoltaicmodules 020401 chemical engineering Control theory ddc:330 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering ComputingMilieux_MISCELLANEOUS Mathematics Operating point [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics] Mathematical model Photovoltaic system [SPI.NRJ]Engineering Sciences [physics]/Electric power Experimental design method Experimental data Factorial experiment Function (mathematics) ANOV [SPI.TRON] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics General Energy Predictive model Factorial design of experiments method [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic lcsh:Electrical engineering. Electronics. Nuclear engineering Surface response analysis lcsh:TK1-9971 [SPI.NRJ] Engineering Sciences [physics]/Electric power |
| Zdroj: | ICREEC’2019 International Conference on Renewable Energy and Energy Conversion ICREEC’2019 International Conference on Renewable Energy and Energy Conversion, Nov 2019, Oran, Algeria Energy Reports TMREES TMREES, Sep 2019, Athènes, Greece. Energy Reports, 6, pp.299-309, 2020, ⟨10.1016/j.egyr.2019.11.016⟩ The First Doctoral Symposium on Technology: Process, Mechanical and Electrical Engineering, DST'01-2019 The First Doctoral Symposium on Technology: Process, Mechanical and Electrical Engineering, DST'01-2019, Nov 2019, Chlef, Algeria Energy Reports, Vol 6, Iss, Pp 299-309 (2020) |
| ISSN: | 2352-4847 |
| DOI: | 10.1016/j.egyr.2019.11.016⟩ |
| Popis: | In this paper, based on factorial design of experiments method (DoE), predictive model and surface response analysis methodology was used for studying, modeling, characterizing and optimizing the parameters of a mono-crystalline photovoltaic (PV) panel behavior considering the interactive effects of two variables surface PV cell temperature and solar irradiation levels. The DoE concept allows finding the predictive model of each parameter behavior that uses the experimental data. It enables accurate predictions of the responses according to input factors variations. This contribution evaluates the output parameters by predicting these mathematical models of the three responses of a mono-crystalline PV panel: the maximum power Pm, the short-circuit current Iscand the open circuit voltage Vocas function of the influences of both input parameter factors: illumination and temperature. In addition, to validate the results of the DoE predictive models, the surface response and the contour curves analysis were used to bring out the optimum of each response in each operating point covering the domain of the study by the use of a script developed under Minitab is deduced. The obtain results are compared with experimental data. Keywords: Factorial design of experiments method, Experimental design method, Predictive model, Surface response analysis, Photovoltaic modules, ANOVA |
| Databáze: | OpenAIRE |
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