Effect of Temperature and Wind Speed on Efficiency of Five Photovoltaic Module Technologies for Different Climatic Zones

Tahir, Zia R.; Asim, Muhammad; Bilal, Muhammad; Abdullah, Muhammad; Saleem, S; Veza, Ibham; Mousa, Mohamed; Kalam, M.A.

doi:10.3390/su142315810

Cited by 6 publications

(6 citation statements)

References 48 publications

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“…Second, a more accurate estimate for operating temperature of PV panels in the field can be calculated using the relationship [53] 𝑇…”

Section: Modeling Photovoltaic Array Performancementioning

confidence: 99%

Solar energy resource availability under extreme and historical wildfire smoke conditions

Corwin,

Burkhardt,

Corr

et al. 2024

Preprint

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By 2050, the U.S. plans to increase solar energy from 3% to 45% of the nation’s electricity generation. Quantifying wildfire smoke’s impact on solar photovoltaic (PV) generation is essential to meet this goal, especially given previous studies documenting sizable PV output losses due to smoke. We quantify smoke-driven changes in baseline solar resource availability (i.e., amount of direct normal (DNI) and global horizontal (GHI) irradiance) at different spatial and temporal scales using radiative transfer model output and satellite-based smoke, aerosol, and cloud observations. State, regional, and national results show that DNI and GHI decrease as smoke frequency increases. DNI is more sensitive to smoke with sizable losses persisting downwind of fires. While large reductions in GHI–the main PV resource–are possible close to fires, mean GHI declines minimally (<5%) due to transported smoke. GHI remains a relatively stable resource across most of CONUS even in extreme fire seasons.

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“…Second, a more accurate estimate for operating temperature of PV panels in the field can be calculated using the relationship [53] 𝑇…”

Section: Modeling Photovoltaic Array Performancementioning

confidence: 99%

Solar energy resource availability under extreme and historical wildfire smoke conditions

Corwin,

Burkhardt,

Corr

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The conversion efficiency, η PV_String , can be defined as the ratio of the output power of the PV string to the received solar irradiance, which can be used to evaluate the operating state of the PV string, and it can be defined as [3]:…”

Section: Distribution Characteristics Of Conversion Efficiencymentioning

confidence: 99%

“…Currently, most PV system performance evaluation methods use specific evaluation indicators. Tahir et al analyzed the variation in the conversion efficiency of photovoltaic modules of five technological routes under different environmental conditions [3]. Al-Ghussain et al analyzed the accuracy of four PV module operating temperature calculation models considering wind speed based on the results of annual power generation and analyzed the effect of the cleaning frequency on annual power generation and the Levelized Cost of Energy (LCOE) [4].…”

Section: Introductionmentioning

confidence: 99%

A Novel Operating State Evaluation Method for Photovoltaic Strings Based on TOPSIS and Its Application

Wang

Liu

et al. 2023

Sustainability

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PV strings are essential for energy conversion in large-scale photovoltaic (PV) power plants. The operating state of PV strings directly affects the power generation efficiency and economic benefits of PV power plants. In the process of evaluating PV arrays, a reference array needs to be identified. By comparing PV arrays with the reference array, the operational status of the PV arrays can be evaluated. However, in the actual operation of PV power stations, it is difficult to directly determine the reference state of a PV array due to random fluctuations in the PV power output. In order to solve the problems mentioned above, this paper proposes a method to select the reference state and perform a grading evaluation of PV strings. Additionally, the proposed method is based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm, which is used to rank the performance of PV arrays to determine their status. In order to solve the problem of random fluctuations in PV power generation, a probability distribution model of the PV string conversion efficiency was built by using the kernel density estimation method. Then, the characteristic indicator of the PV string’s operating state was described by the output power of the PV string and its probability distribution model. Then, based on the operating characteristic indicator, the reference state of the PV string was determined using the TOPSIS method, and the grading evaluation of the operating state of the PV string was realized. Finally, the effectiveness of the proposed method was verified using the actual data of a PV power station.

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“…They found that the module's surface temperature decreased on average by 11 °C, 16 °C, and 21 °C at a wind speed of 1 m/s, 2 m/s, and 5 m/s at an illumination of 400 W/m 2 . Tahir et al [11] examined the Impact of wind speed and temperature on five types of PV panels for various regions in Pakistan. The obtained results observed a decrease in PV efficiency when considering only the effect of temperature.…”

Section: Introductionmentioning

confidence: 99%

Effects of Wind Speed and Mounting Type on Pv Module in Unbalanced Distribution Systems

NUR,

EMİROGLU

2023

Journal of Scientific Reports-A

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This paper assesses the effects of wind speed and mounting type on the performance of photovoltaic (PV) modules in the distribution system. The study was conducted in OpenDSS on the IEEE 34 node test feeder considering ZIP load and residential load shape. The module temperature was calculated considering the wind speed and mounting type of the PV panel. The effect of wind speed on PV has been analyzed using three different wind data sets. Furthermore, Free standing and flat roof mounting types were considered to evaluate the effect of mounting configuration. It was found that integrating PV into the distribution system reduced substation demand and energy losses. Results also show that the PV produced more power in high wind speed scenarios than in low wind speed scenarios. Regarding the mounting configuration, the PV incorporated with free standing configuration generated more power than the flat roof mounting type.

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Effect of Temperature and Wind Speed on Efficiency of Five Photovoltaic Module Technologies for Different Climatic Zones

Cited by 6 publications

References 48 publications

Solar energy resource availability under extreme and historical wildfire smoke conditions

Solar energy resource availability under extreme and historical wildfire smoke conditions

A Novel Operating State Evaluation Method for Photovoltaic Strings Based on TOPSIS and Its Application

Effects of Wind Speed and Mounting Type on Pv Module in Unbalanced Distribution Systems

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