The effect of temperature on a mono-crystalline solar PV panel

Zaini, Nur Hazirah; Kadir, Mohd Zainal Abidin Ab; Izadi, Mahdi; Ahmad, Noordin; Radzi, Mohd Amran Mohd; Azis, Norhafiz

doi:10.1109/cencon.2015.7409548

Cited by 52 publications

(25 citation statements)

References 13 publications

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“…Consequently the reverse saturation current increases rapidly and this reduces the band gap. Hence this leads to marginal changes in the current but major changes in voltage [8].…”

Section: Results Pv Modeling Results Temperature's Effect On Pv Charactmentioning

confidence: 99%

Analysis on Solar Panel Performance and Pv-Inverter Configuration for Tropical Region

Setiawan¹

2017

Journal of Thermal Engineering

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In this paper, proper inverter topology for tropical region will be determined with temperature effect as a considered factor. PV characteristics on certain temperature are obtained through mathematical equations in MATLAB-Simulink and it will be represented by PV I-V and P-V characteristic curves. Based on the modeling, some PV parameters such as temperature coefficients of short circuit current (ISC), open circuit voltage (VOC), maximum output power (PMAX), and maximum power voltage (VMP) can be determined as high as 0.56%/oC,-0.31%/oC-0.4%/oC, and 0.43 %/oC respectively. As the result, for tropical region, the central inverter is the most proper inverter topology to supply 5 kWAC PV system, string inverter in the 2nd place, and AC module with utility rates of 97.34%, 96.32 %, and 88.1% based on direct measurement on PV panel's temperature respectively. From NOCT approach, the utility rates are around 92.96 % for central inverter, 91.98% for string inverter and 91.8 % for AC module.

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“…Consequently the reverse saturation current increases rapidly and this reduces the band gap. Hence this leads to marginal changes in the current but major changes in voltage [8].…”

Section: Results Pv Modeling Results Temperature's Effect On Pv Charactmentioning

confidence: 99%

Analysis on Solar Panel Performance and Pv-Inverter Configuration for Tropical Region

Setiawan¹

2017

Journal of Thermal Engineering

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“…Sel PV ini akan mengeluarkan daya listrik sesuai dengan energi cahaya yang diterima. Namun, daya yang dikeluarkan tidak merata akibat panas dari cahaya matahari yang diterima juga tidak merata pada permukaan panel surya (Zaini, et al, 2015). Selain itu juga masih adanya menyangka jika PV ditempatkan pada tempat yang asal terkena sinar matahari terik akan menghasilkan tegangan dan arus listrik yang optimal, melainkan sebaliknya jika peletakan panel surya tidak benar maka akan hanya menghasilkan daya yang tidak optimal (Harits, 2015).…”

Section: Pendahuluanunclassified

Interpolasi Cubic Spline untuk Memetakan Distribusi Panas pada Permukaan Panel Sel Surya

Erfianto

Setiawan

2020

ELKOMIKA

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ABSTRAKPenelitian ini bertujuan untuk mengetahui sebaran atau distribusi panas yang terjadi pada permukaan panel surya atau photo voltaic (PV) dengan dengan data sebaran sensor yang diolah dengan metode interpolasi cubic spline, sehingga dapat digunakan untuk mengetahui posisi panel surya yang efektif dan ideal menerima cahaya matahari. Selain informasi panas pada panel surya juga informasi mengenai daya yang dikeluarkan oleh panel surya tersebut. Pemetaan distribusi panas pada panel PV menggunakan metode interpolasi cubic spline yang selanjutnya divisualisasikan dalam heatmap 2D. Berdasarkan heatmap hasil interpolasi dan hasil eksperimen menunjukkan panel PV pada posisi vertikal dengan kemiringin 0o pukul 12.00-14.00 menghasilkan arus tertinggi yaitu 449.2mA dengan tegangan yang dihasilkan sebesar 1.03V sehingga menghasilkan daya sebesar 0.46W. Hal ini lebih optimal dari suhu permukaan PV yang lebih panas pada pada posisi vertikal dengan kemiringin 45o ataupun posisi horizontal 0o dan 45o pada jam yang sama.Kata kunci:panel surya, heatmap, cubic spline, interpolasi ABSTRACTThis research aims to determine the distribution of heat that is exposed on the surface of solar panels or photo voltaic (PV), where the data from distributed sensor is processed by means of cubic spline interpolation method, so that it can be used to determine the ideal and effective position of solar panel to receive sunlight radiation. In addition to heat information on the solar panel, information about the power generated by PV is also measured. Based on the heatmap generated from the interpolation method and the experimental results, it shows that the PV panel in a vertical position with 0o inclination at 12.00-14.00 produces the highest current which is 449.2mA with the output voltage of 1.03V, thus the generated power is about 0.46W. This is more optimal than the surface temperature of the PV which is hotter in the vertical position with a 45o or horizontal position with 0o and 45o at the same time.Keywords: solar panel, heatmap, cubic spline, interpolation

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“…These are then coupled with engineering models of the components inside. Analytical techniques are meant to obtain an error factor to account for the short term weather variations that affect the power output and other system-specific variations such as (i) temperature effects: higher temperatures have been long known to reduce the solar panel efficiency [2,3] and the charge and discharge rate for many battery technologies [4][5][6];…”

Section: Introductionmentioning

confidence: 99%

New Techniques for Sizing Solar Photovoltaic Panels for Environment Monitoring Sensor Nodes

et al. 2019

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The development of perpetually powered sensor networks for environment monitoring to avoid periodic battery replacement and to ensure the network never goes offline due to power is one of the primary goals in sensor network design. In many environment-monitoring applications, the sensor network is internet-connected, making the energy budget high because data must be transmitted regularly to a server through an uplink device. Determining the optimal solar panel size that will deliver sufficient energy to the sensor network in a given period is therefore of primary importance. The traditional technique of sizing solar photovoltaic (PV) panels is based on balancing the solar panel power rating and expected hours of radiation in a given area with the load wattage and hours of use. However, factors like the azimuth and tilt angles of alignment, operating temperature, dust accumulation, intermittent sunshine and seasonal effects influencing the duration of maximum radiation in a day all reduce the expected power output and cause this technique to greatly underestimate the required solar panel size. The majority of these factors are outside the scope of human control and must be therefore be budgeted for using an error factor. Determining of the magnitude of the error factor to use is crucial to prevent not only undersizing the panel, but also to prevent oversizing which will increase the cost of operationalizing the sensor network. But modeling error factors when there are many parameters to consider is not trivial. Equally importantly, the concept of microclimate may cause any two nodes of similar specifications to have very different power performance when located in the same climatological zone. There is then a need to change the solar panel sizing philosophy for these systems. This paper proposed the use of actual observed solar radiation and battery state of charge data in a realistic WSN-based automatic weather station in an outdoor uncontrolled environment. We then develop two mathematical models that can be used to determine the required minimum solar PV wattage that will ensure that the battery stays above a given threshold given the weather patterns of the area. The predicted and observed battery state of charge values have correlations of 0.844 and 0.935 and exhibit Root Mean Square Errors of 9.2% and 1.7% for the discrete calculus model and the transfer function estimation (TFE) model respectively. The results show that the models perform very well in state of charge prediction and subsequent determination of ideal solar panel rating for sensor networks used in environment monitoring applications.

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The effect of temperature on a mono-crystalline solar PV panel

Cited by 52 publications

References 13 publications

Analysis on Solar Panel Performance and Pv-Inverter Configuration for Tropical Region

Analysis on Solar Panel Performance and Pv-Inverter Configuration for Tropical Region

Interpolasi Cubic Spline untuk Memetakan Distribusi Panas pada Permukaan Panel Sel Surya

New Techniques for Sizing Solar Photovoltaic Panels for Environment Monitoring Sensor Nodes

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