Estimating operating cell temperature of BIPV modules in Thailand

Trinuruk, Piyatida; Sorapipatana, Chumnong; Chenvidhya, Dhirayut

doi:10.1016/j.renene.2009.02.027

Cited by 103 publications

(55 citation statements)

References 13 publications

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“…It was expected that due to the high temperature during the summer, there would be reduced energy production compared to spring and autumn with respective temperatures of 18. [8]. It was also observed that the rate of total and average energy production in summer was more than twice the energy production in winter.…”

Section: Energy Productionmentioning

confidence: 94%

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Abbasoğlu¹,

Babatunde²

2015

Turk J Elec Eng & Comp Sci

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Abstract:The objective of this study is to examine the conformity of different simulation tools in analyzing the performance of photovoltaic (PV) systems in countries with high solar radiation. Primarily an installed system was evaluated and the results were compared with the simulation results of 3 globally known PV software tools: pvPlanner, PVsyst, and Homer. The parameters evaluated in this study are energy production, specific yield, performance ratio, and capacity factor. Detailed explanations are presented for monthly, seasonal, and annual variation of installed system data and simulation results. Northern Cyprus is selected as a case study due to high solar radiation and duration values.The total annual energy production of the installed 5.76 kW system amounts to 12,216 kWh for the year studied. All the simulation tools appear to underestimate the installed system's energy production and the variances observed are 5.3%, 9.3%, and 7.5% for pvPlanner, PVsyst, and Homer, respectively. Energy production in summer was observed to be about twice the production in winter. The percentage shares with respect to energy production are 34%, 28%, 22%, and 16% in summer, spring, autumn, and winter, respectively. The performance ratio of the system is 80.8%. However, the average performance ratio of the 3 simulators was found to be 78.6%. PVsyst modeled a performance ratio with the least deviation from the system with 79.2%. The specific yield and capacity factor of the installed system are 2121 kWh/kW p and 25.06%, respectively. The average specific yield value and average capacity factor of the 3 simulators are nearly 7% lower than the measured data of the installed system. Different factors led to the difference between real-world application and simulation results. These are discussed in this study in detail.

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Section: Energy Productionmentioning

confidence: 94%

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Abbasoğlu¹,

Babatunde²

2015

Turk J Elec Eng & Comp Sci

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“…This option is frequently used due to the fact that the sensors which are fixed on the front surface can produce shading in cells, causing the performance of the power output of a PV module to deteriorate. The temperature measured at that point is considered as the average temperature of the PV module [24].…”

Section: Conventional Techniques For Thermal Monitoring In Photomentioning

confidence: 99%

Thermal Monitoring of Photovoltaic module using Optical Fiber Sensors

Santolin

Lourenço

Corte

et al. 2016

J. Microw. Optoelectron. Electromagn. Appl.

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“…PV-cell temperatures are very difficult to measure since the cells are tightly encapsulated in order to protect them from environmental degradation. The temperature of the back surface of PV-modules is commonly measured and used in place of the cell temperature with the assumption that these temperatures closely match [7].…”

Section: Pv-cell Temperaturementioning

confidence: 99%

“…If the variation in the overall heat loss rates of the PVmodule is small, then it can be assumed that the rate of heat transfer from the PV-module to the environment is steady and the temperatures at each point of the PV-module are constant over a short-time period [7].…”

Section: Steady-state Analysismentioning

confidence: 99%