Influences on the energy delivery of thin film photovoltaic modules

Gottschalg, Ralph; Betts, Thomas R.; Eeles, Alexander; Williams, S. B.; Zhu, Jiang

doi:10.1016/j.solmat.2013.06.011

Cited by 46 publications

(30 citation statements)

References 33 publications

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“…We consider it a better solution to include the spectral influence in an imperfect way compared with not considering spectral influences at all (see discussion section of ), even though it is advised differently in . Our decision is supported by the fact that, on a qualitative basis, spectral gains were observed by others for England . For Location 3, no measured evidence is available.…”

Section: Determination Of Input Quantities and Their Uncertaintymentioning

confidence: 99%

PV module energy rating: opportunities and limitations

Dirnberger

Müller

2015

Progress in Photovoltaics

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This article sheds new light on photovoltaic (PV) module rating according to predicted yield rather than power measured at standard testing conditions (STC). We calculate module performance ratios (MPR) for measured characteristics of eight different module types and compare them with a reference MPR calculated with typical crystalline silicon characteristics. In place of the not yet existing standardized weather data, we use commercially available weather data for three different locations. The reference MPR for the three locations were 95.5%, 94.6%, and 91.0%, respectively, with differences to the other module types of ±8% at maximum. MPR was calculated with reference to nominal power, and-following IEC 61853 -without consideration of potential degradation. The strongest contribution to the initial differences between the module types was due to differences in irradiance dependency. Standard uncertainties for all initial MPR values were calculated and range from 1.8% to 3.0%, including STC power uncertainty. We propose a module rating method that indicates whether a module type's performance is significantly above, below, or essentially equal to the reference. The method evaluates the MPR difference between module type and reference, taking uncertainty into account. Significant differences were only found between modules with obviously different characteristics, but not between the crystalline silicon module types under scrutiny. As the uncertainty analysis did not cover degradation and influences due to the use of not standardized weather data, a sensitivity analysis was performed. Long-term degradation can change the comparative energy rating significantly, whereas the selection of tilt angle and assumptions regarding module operating temperature did not have a strong effect.

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Section: Determination Of Input Quantities and Their Uncertaintymentioning

confidence: 99%

PV module energy rating: opportunities and limitations

Dirnberger

Müller

2015

Progress in Photovoltaics

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“…Betts, A. Eeles, S.R. Williams, and J. Zhu (2013) [12] conducted a plethora of comparative tests to investigate the device behavior of contrasting thin film technologies with a high accuracy of module inter-comparisons to select appropriate technologies for cheap photovoltaic electricity. However, their testing objects were thin film technologies, such as a-Si and CIGS, without any consideration of specific manufacturing technologies.…”

Section: Introductionmentioning

confidence: 99%

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

Tang

Sun

Yao

et al. 2014

Energy

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“…The energy production of each subsystem depends to a large extent on the operating cells temperature of the modules [40][41][42][43][44][45][46][47][48] which varies according to many factors: the ambient temperature (Tamb), the effective solar radiation, the wind speed [40,89], dirt that can cause hot spots and the characteristics of the installation. With the increase of the module temperature the open circuit voltage decreases and the short-circuit current rises slightly.…”

Section: Temperature Of Operation Of Modulesmentioning

confidence: 99%

Comparative Energy Performance Analysis of Six Primary Photovoltaic Technologies in Madrid (Spain)

Guerra

Tabernero

et al. 2017

Energies

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There are a wealth of studies on photovoltaic cell technologies, however their performance in different climatic or geographies over an extended period is not completely established. The objective of this paper is to add to this area of study with an analysis of the principle photovoltaic technologies: monocrystalline silicon (mc-Si), polycrystalline silicon (pc-Si), tandem structure of amorphous silicon and microcrystalline silicon (a-Si/µc-Si tandem), cadmium telluride/cadmium sulfide (CdTe/CdS), copper-indium diselenide (CIS) and monocrystalline silicon with double contact back technology (mc-dc-Si), in the climatic conditions particular to the middle latitude urban environment of Madrid (Spain). To carry out this study six photovoltaic subsystems of peak power 1 kWp approximately have been installed for each selected technology on the roof of the Escuela Técnica Superior de Ingeniería y Diseño Industrial (ETSIDI) of the Universidad Politécnica de Madrid (UPM) in Spain. Each subsystem has an inverter of the same model and power for its connection to the internal electricity network of the university. This paper analyzes the energy performance of the six subsystems, calculating the reference production rates and losses, from February 2013 to December 2015. The result of the study is the extensive capture of data and detailed analysis of real time energy yields and performance ratios of key technologies resulting with patterns in line with those of other regions with comparable climatic conditions.

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Influences on the energy delivery of thin film photovoltaic modules

Cited by 46 publications

References 33 publications

PV module energy rating: opportunities and limitations

PV module energy rating: opportunities and limitations

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

Comparative Energy Performance Analysis of Six Primary Photovoltaic Technologies in Madrid (Spain)

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