Application and validation of algebraic methods to predict the behaviour of crystalline silicon PV modules in Mediterranean climates

Fuentes, Mariana Terán; Nofuentes, G.; Aguilera, J.; Talavera, D.L.; Castro, Manuel

doi:10.1016/j.solener.2006.12.008

Cited by 164 publications

(83 citation statements)

References 16 publications

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“…The most commonly used technique is based on the use of thermoresistive sensor (normally a PT100 sensor [5,10,22] or thermocouple [23]), installed exactly in the middle of its rear surface. 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.…”

Section: Conventional Techniques For Thermal Monitoring In Photomentioning

confidence: 99%

“…The measurement of temperature in photovoltaic models plays an essential role in testing technical standards for characterization and approval of panels (IEC 60904 and 61215), in the identification of generation profiles on installed panels in different climate regions [5] and in determining the electrical degradation rate of the cells [6,7,8]. However, the determination of the temperature of the cells in a PV module is not usually a practical task.…”

Section: Introductionmentioning

confidence: 99%

“…The direct measurement of the PV back surface temperature using a thermoresistive sensor (PT100, NTC, thermocouple) [5,10,11], indirect measurement using infrared camera (IR), ultraviolet camera (UV) [6,7] or using numerical modeling is a set of techniques that allow one to estimate the thermal behavior of a PV module [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Thermal Monitoring of Photovoltaic module using Optical Fiber Sensors

Santolin

Lourenço

Corte

et al. 2016

J. Microw. Optoelectron. Electromagn. Appl.

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Section: Conventional Techniques For Thermal Monitoring In Photomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Thermal Monitoring of Photovoltaic module using Optical Fiber Sensors

Santolin

Lourenço

Corte

et al. 2016

J. Microw. Optoelectron. Electromagn. Appl.

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“…[1] The parameters given by manufacturing company are observed on the standard test conditions(STC) which do not give the same values when observed at outdoor conditions This is due to varying outdoor conditions from STC. [2] .In the early 1990s, researchers commenced developing methodologies to guess module working under real operating environment. [3] P.E.…”

Section: Introductionmentioning

confidence: 99%

Performance Estimation of Polycrystalline Photovoltaic Module during summer

Ahmad¹

2018

IJRASET

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The earth receives quiet, infinite, and non-polluting energy in the form of electromagnetic radiations from sun. There are a number of techniques to utilize this copious source of energy to full fill energy demand. World is struggling to come out of non-renewable energy sources which are costly and insecure (nuclear energy). This paper represents the meticulous performance evaluation of commercially available photovoltaic (polycrystalline) module during summer months (May, June July and August) in Faisalabad, Pakistan. The experimentation was carried out at al fresco conditions. Power output, module efficiency and performance ratio were observed for the polycrystalline module and effect of solar irradiance and temperature on these parameters were investigated. Solar irradiance and temperature were major factors disturbing the consistency of photovoltaic module. Polycrystalline module has shown improved performance in high irradiance conditions but at low plate temperature, while it decreased abruptly with the decrease in irradiance. The photovoltaic module also showed the decline in efficiency and performance ratio with the increase of temperature.

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“…To obtain the output power of solar PV panels in South Australia, the total installed capacity of each suburb has been obtained from the Clean Energy Regulator [114]. Then, by implementing Global Horizontal Irradiance (GHI) data [124], the hourly generated power of PV panels in each suburb has been calculated using (6.1) [131]. By summarizing the output power of the photovoltaic panels in all suburbs, the total hourly solar generation of the SA system, which is shown in Figure 6.4, has been computed.…”

Section: Solar Generation Modelmentioning

confidence: 99%

Reliability impacts of increased wind generation in the Australian national electricity grid

Mosadeghy¹

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Wind power penetration has been consistently growing and it has been rapidly becoming a significant generation technology in many countries. However, the intermittent and variable nature of wind energy is a major barrier in wind power commitment. Wind speed fluctuations and unpredictability can affect the operation and reliability of power systems. Therefore, the impact of integrating large volume of wind generators on the system reliability needs to be carefully investigated and the reliability contributions of wind farms require to be evaluated for better integration of wind energy sources.Because of intermittency and variability of wind energy, conventional reliability evaluation methods are not applicable and different techniques have been developed to model wind generators.However, most of these methods are time-consuming or may not be able to capture time dependency and correlations between renewable resources and load. Therefore, this research intends to improve the existing reliability methods and proposes a faster and simpler approach. In this approach, wind power and electricity demand are being modelled as time-dependent clusters, which not only can capture their time-dependent attributes, but also is able to keep the correlations between the data sets. To illustrate the effectiveness of this framework, the proposed methodology has been applied to the IEEE reliability test system. In addition, the developed technique is validated by comparing results with the sequential Monte Carlo technique.Due to an increase in the wind power penetration level in Australia, this research also investigates the contribution of wind power in the Australian power system from reliability point of view. In order to calculate the reliability contribution of wind power, the proposed framework is implemented on the national electricity market at two different reliability assessment levels: generation and composite system levels. Moreover, the impacts of strategies such as coordinating hydro units with wind farms on the reliability of wind energy are investigated. Similar to wind energy, photovoltaic (PV) penetration level is increasing in the Australian power system, which can affect not only the reliability of the power system, but also the reliability benefit of wind farms.

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Application and validation of algebraic methods to predict the behaviour of crystalline silicon PV modules in Mediterranean climates

Cited by 164 publications

References 16 publications

Thermal Monitoring of Photovoltaic module using Optical Fiber Sensors

Thermal Monitoring of Photovoltaic module using Optical Fiber Sensors

Performance Estimation of Polycrystalline Photovoltaic Module during summer

Reliability impacts of increased wind generation in the Australian national electricity grid

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