Analysis of the power loss and quantification of the energy distribution in PV module

Shen, Lu; Li, Zhenpeng; Ma, Tao

doi:10.1016/j.apenergy.2019.114333

Cited by 45 publications

(23 citation statements)

References 45 publications

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“…As a reference, the lower-left corner was the centre (0.0). The previous studies have discussed the detailed dimensions, construction, and characteristics of the solar simulator and the PV module [27]- [29]. Table 1 shows the specific measurement positions.…”

Section: Detailed Measurement Positionmentioning

confidence: 99%

“…For every 1 o C increase of 𝑇 𝑝𝑣 at STC as in (2), then e  will decrease by 0.0045. It is due to increased recombination losses of PV cells [29]. Practically, the electrical efficiency 𝜂 𝑒 is also given [40];…”

Section: Theoretical and Practical Calculationmentioning

confidence: 99%

“…The heat sources for the PV module have been identified as solar irradiance and Joule's heating effect [32]. Joule heating as internal heating 𝑄 𝑗ℎ [W] linearly dependent on the internal series resistance 𝑅 𝑠𝑖 [Ω], but dependence quadratically on the current-induced 𝐼 𝑝𝑣 [29];…”

Section: Theoretical and Practical Calculationmentioning

confidence: 99%

“…However, Joule heating was neglected for more complex simulations reasoning less contribution comparing irradiances and memory concerns. The comprehensive energy distribution model [29], the novel thermal model [30] also the electrical loss prediction of modules (ELMO), and the outdoor measurement method [31] investigated the electrical and thermal performance of PV modules including the series resistance loss from Joule heating. The model determined the amount of incident solar energy lost.…”

Section: Introductionmentioning

confidence: 99%

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Joule heating estimation of photovoltaic module through cells temperature measurement

Yandri

Hagino

2022

IJPEDS

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Module temperature has a role in determining a PV module's performance. The purpose of this paper is to estimate the Joule heating in a photovoltaic (PV) module by comparing during PV-On (electricity generation) and PV-Off (without electricity generation). Joule heating was less evaluated due to simplifying formulation, which is easier to implement in experimental observation as proposed in this work. The experiment collected the temperature distributions of the PV module during PV-On and PV-Off. PV module temperature distribution follows the normal distribution curve as the irradiation uniformity pattern of the solar simulator has a slight ≤0.3 oC difference between PV-On and PV-Off. Joule heating slightly increased the PV module temperature by 0.53 K/A, proportional to the irradiances. Joule heating has increased almost seven times from 2.65 W at 700 W/m2 to 18.07 W at 1000 W/m2. Joule heating might slightly increase the overall thermal conductivity and slightly decrease the thermal resistances. It might affect the heat transfer. This research may improve the procedures prediction of PV or photovoltaic-thermal (PVT) collector temperature by considering Joule heating.

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Section: Detailed Measurement Positionmentioning

confidence: 99%

Section: Theoretical and Practical Calculationmentioning

confidence: 99%

Section: Theoretical and Practical Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joule heating estimation of photovoltaic module through cells temperature measurement

Yandri

Hagino

2022

IJPEDS

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“…[3] Considering a total installed solar power capacity of 700 GW (1 GW ¼ 10 9 W) in the present day around the world, an average PV temperature increase of just 10 C against the standard temperature (25 C) would result in a power generation capacity loss of over 24.5 GW, meaning that the Three Gorges Dam Hydropower Station (the largest hydroelectric power station) disappears. For commonly applied PV technologies based on single-junction solar cells, over 70% of absorbed solar radiation is converted into waste heat due to thermalization and nonradiative recombination of carriers; [4] thus, PV modules usually operate at relatively high temperatures of %50 C when generating power and even above 70 C in hot climate regions. [5] In this context, researchers keep looking for cost-effective and energy-efficient ways to cool down PV panels operating under sunlight.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Radiative Cooling on the Operating Temperature of Photovoltaic Modules

Ahmed

2021

Solar RRL

Self Cite

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Due to the linear decrease in power conversion efficiency with temperature, effective methods for the thermal management of silicon photovoltaics (PV) are urgently needed. Recently, the emergence of radiative cooling technologies has breathed new life into this topic. Some previous studies claimed the value of an additional radiative cooling coating on silicon solar cells, whereas quantitative analysis based on comprehensive experiments and modeling is still not available in literature to give an explicit conclusion. After developing the coupling electrical–thermal model for simulating various cases and conducting field experimental tests, herein, it is aimed to clarify the effect of radiative cooling on the temperature of normally installed PV modules and influence of factors such as thermal convection and thermal emissivity. Results show that the increased thermal emissivity results in only an average temperature drop of less than 1.0 °C, whereas the ventilation conditions have an impact of over 10 °C. The simulation study also demonstrates that a limit of around 2.0 °C in temperature reduction is all the value of an additional radiative cooling coating on PV modules. To make an additional radiative cooling coating on existing PV panels cost effective, the work suggests developing multifunctional coatings in the future.

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Energy Loss Analysis of Two‐Terminal Tandem PV Systems under Realistic Operating Conditions—Revealing the Importance of Fill Factor Gains

et al. 2023

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The tandem PV technology can potentially increase the efficiency of PV modules over 30%. To design efficient modules, a quantification of the different losses is important. Herein, a model for quantifying the energy loss mechanisms in PV systems under real‐world operating conditions with a level of detail back to the components and their fundamental properties is presented. Totally, 17 losses are defined and divided into four categories (fundamental, optical, electrical, and system losses). As example, a system based on a > 29% two‐terminal perovskite/silicon tandem cell is considered. The loss distribution at standard test conditions is compared to four geographical locations. The results show that the thermalization, reflection, and inverter losses increase by 1.2%, 1.1%, and 1.4%, respectively, when operating outdoors. Additionally, it is quantified how fill factor gains partly compensate the current mismatch losses. For example, a mismatch of 7.0% in photocurrent leads to a power mismatch of 1.2%. Therefore, the power mismatch should be used as indicator for mismatch losses instead of a current mismatch. Finally, herein, it is shown that solar tracking increases not only the in‐plane irradiance but also the efficiency of the tandem module.

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Analysis of the power loss and quantification of the energy distribution in PV module

Cited by 45 publications

References 45 publications

Joule heating estimation of photovoltaic module through cells temperature measurement

Joule heating estimation of photovoltaic module through cells temperature measurement

Investigating the Effect of Radiative Cooling on the Operating Temperature of Photovoltaic Modules

Energy Loss Analysis of Two‐Terminal Tandem PV Systems under Realistic Operating Conditions—Revealing the Importance of Fill Factor Gains

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