A new method for evaluating nominal operating cell temperature (NOCT) of unglazed photovoltaic thermal module

Sun, Vat; Asanakham, Attakorn; Deethayat, Thoranis; Kiatsiriroat, Tanongkiat

doi:10.1016/j.egyr.2020.04.026

Cited by 41 publications

(18 citation statements)

References 31 publications

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“…Several mathematical models, steady-state and dynamic, have been introduced to evaluate the panel temperature. The latest models for determining the temperature of the photovoltaic thermal collector are listed in [40]. Although, the evaluation stays difficult due to a lot of info on heat transfer characteristics and thermal properties that are needed.…”

Section: Noct and The Temperature Of Pvt Collectormentioning

confidence: 99%

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Modeling of Hybrid Photovoltaic Thermal Water Pumping System

Tayseer

Rady

Darwish

et al. 2022

Journal of Al-Azhar University Engineering Sector

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Section: Noct and The Temperature Of Pvt Collectormentioning

confidence: 99%

“…The solar radiation captured by the PV panel is transformed into thermal energy in the circulating water and heat loss under no electrical load. As a result, the thermal energy balance for the PVT collector is addressed, and the NOCT of the PVT collector is represented as follows [40]:…”

Section: Noct and The Temperature Of Pvt Collectormentioning

confidence: 99%

Modeling of Hybrid Photovoltaic Thermal Water Pumping System

Tayseer

Rady

Darwish

et al. 2022

Journal of Al-Azhar University Engineering Sector

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“…However, the temperature sensor insertion into a PV cell is quite challenging. The nominal operating cell temperature (NOCT) model is more accurate in predicting the PV temperature for the PVT system [17]. However, these models also depend on the accuracy of the environmental and operational data.…”

Section: Introductionmentioning

confidence: 99%

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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“…In recent decades, researchers from all over the world have conducted a large number of experiments and simulations to study the performance of different PVT modules [8][9][10][11][12][13][14][15][16][17][18]. Pang et al [8] used CFD numerical simulation to establish a simplified thermal transfer model and verified its practicability through experiments, thus presenting a new method for finding efficient PVT modules.…”

mentioning

confidence: 99%

“…The results show that the tool can perform a complete system performance analysis, showing the capabilities of the proposed innovative device and the capabilities of the proposed internal code. Sun et al [12] proposed a new method for calculating the nominal operating cell temperature (NOCT) of PVT modules using water as the working fluid. Under the condition of a clear sky in Chiang Mai, Thailand, this method is in good agreement with the experimental data.…”

mentioning

confidence: 99%