Influence of wind speed on the performance of photovoltaic panel

Leow, W.Z.; Irwan, Y.M.; Irwanto, M.; Amelia, A.R.; Safwati, I.

doi:10.11591/ijeecs.v15.i1.pp62-70

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…This is an additional environmental factor that somewhat affects how well a PVT system performs. The following Figure 25 shows the current-voltage (I-V) curve behavior for varying wind speeds [50] on the PVT system. This figure shows a clear picture of the MPP values variation due to panel temperature changes in the PVT panel.…”

Section: Impact Of Wind Speed On the Pvt Systemmentioning

confidence: 99%

“…This is an additional environmental factor that somewhat affects how well a PVT system performs. The following Figure 25 shows the current-voltage (I-V) curve behavior for varying wind speeds [50] on the PVT system. The considered values for wind speed [51] are 1 ms −1 , 2 ms −1 , 3 ms −1 , 4 ms −1 , and 5 ms −1 .…”

Section: Impact Of Wind Speed On the Pvt Systemmentioning

confidence: 99%

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Mathematical Modeling, Parameters Effect, and Sensitivity Analysis of a Hybrid PVT System

Ahmed,

Rashel,

Abdullah-Al-Wadud

et al. 2024

Energies

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Hybrid PVT solar systems offer an innovative approach that allows solar energy to be used to simultaneously generate thermal and electrical energy. It is still a challenge to develop an energy-efficient hybrid PVT system. The aim of this work is to develop a mathematical model, investigate the system’s performance based on parameters, include sensitivity analysis in the upper layer mainly photovoltaic part, and provide an efficient and innovative system. Performance analysis of the hybrid system is obtained by establishing a mathematical model and efficiency analysis. The electrical model and thermal model of the hybrid system is also obtained by appropriate and complete mathematical modeling. It establishes a good connection of the system in the context of electrical analysis and power generation. The parameters variation impact and sensitivity analysis of the most important parameters, namely, irradiance, ambient temperature, panel temperature, wind speed, and humidity in the PV panel section, are also obtained using a MATLAB model. The results show the effective increase or decrease in the electrical power and sensitiveness in the output of the system due to this modification. Related MPP values as a result of these parameters variation and their impact on the overall output of the hybrid PVT system are also analyzed.

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Section: Impact Of Wind Speed On the Pvt Systemmentioning

confidence: 99%

“…This is an additional environmental factor that somewhat affects how well a PVT system performs. The following Figure 25 shows the current-voltage (I-V) curve behavior for varying wind speeds [50] on the PVT system. The considered values for wind speed [51] are 1 ms −1 , 2 ms −1 , 3 ms −1 , 4 ms −1 , and 5 ms −1 .…”

Section: Impact Of Wind Speed On the Pvt Systemmentioning

confidence: 99%

Mathematical Modeling, Parameters Effect, and Sensitivity Analysis of a Hybrid PVT System

Ahmed,

Rashel,

Abdullah-Al-Wadud

et al. 2024

Energies

View full text Add to dashboard Cite

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Comprehensive modeling and simulation of photovoltaic system performance by using matlab/simulink: integrating dynamic meteorological parameters for enhanced accuracy

Nfaoui,

Ihfa,

Bougtaib

et al. 2024

J.Umm Al-Qura Univ. Appll. Sci.

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Studying the operation of photovoltaic panels in the presence of varying meteorological parameters is a complex undertaking that requires the development of models to understand the physical phenomena associated with different meteorological factors. The main aim of this study is to examine the impact of meteorological factors, such as illuminance, temperature, and wind speed, on the performance of photovoltaic modules. Our goal is to develop precise models that illustrate how these factors affect the output of a photovoltaic system at a specific location. To achieve this, we utilized a rigorously validated mathematical model, previously tested with photovoltaic simulation software such as PVsyst, enabling accurate prediction of photovoltaic installation output. We compared the results of our simulations, conducted with the chosen mathematical model, with those obtained from PVsyst software. Subsequently, we validated the accuracy of our proposed model using real operating conditions simulated by PVsyst. Additionally, we incorporated additional curves, not available in the PVsyst database, accounting for wind speed as a meteorological parameter.

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