A comprehensive method for estimating energy losses due to shading of GC-BIPV systems using monitoring data

Drif, M.; Mellit, A.; Aguilera, J.; Pérez, Pedro Yobanis Piñero

doi:10.1016/j.solener.2012.05.008

Cited by 38 publications

(15 citation statements)

References 11 publications

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“…This study proposes a simple mathematical model for the estimation of PV array power based on the consideration of shading geometry. The orientation of PV modules and location of the objects which will project shadows over the PV plant such as trees are important parameters taking into account for evaluating energy loss [27][28]. Most authors propose models which compare I-V curves from simulations with experimental data [29][30][31].…”

Section: Methods Of Detection Of Shadingmentioning

confidence: 99%

A shadow fault detection method based on the standard error analysis of I-V curves

et al. 2016

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Shading on photovoltaic (PV) modules induces disproportionate impacts on power production. This paper presents a fault detection method able to identify anomalies on PV systems such as shading problems. The presence of localized shading on PV modules leads to an overheating of the shaded PV cells despite the activation of bypass diodes. The temperature increase reduces considerably PV module performances and its lifetime. The presented method uses a simple equation, which corresponds to the normalized error (DE) of the comparison between the I-V curve in normal operation and the I-V curve in shading condition. The first derivative calculation gives the area of the detection in function of the PV voltage of the module (DE/DV). This defines whether one or several PV cells dissipate power. This phenomenon essentially occurs in the case of non-uniform irradiance received on PV modules and could impact PV modules performances. The detection method is explained in detail through the study of specific shadows simulations on PV modules. The results are validated through experimental tests on PV modules.

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Section: Methods Of Detection Of Shadingmentioning

confidence: 99%

A shadow fault detection method based on the standard error analysis of I-V curves

et al. 2016

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“…The expected system's energy yields do not have the same accuracy than yields calculated from real measured data and values with root mean square error (RMSE) of about 10% have been stated for irradiance estimated using these methods [8]. Using this different types of faults can be identified: constant energy losses, variable energy losses [9] and losses due to the presence of snow. Other researchers used climate data measured by local sensors on the plants.…”

Section: Introductionmentioning

confidence: 97%

Fault Identification and Islanding in DC Grid Connected PV System

Paul¹,

Mahalakshmi²,

Karuppasamypandiyan³

et al. 2016

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Nowadays, the DC distribution system has been suggested, as a replacement for the AC power distribution system with electric propulsion. This idea signifies a fresh approach of issuing energy for low-voltage installations. It can be used for any electrical application up to 20 MW and works at a nominal voltage of 1000 V DC. The DC distribution system is just an extension of the multiple DC links that previously available in all propulsion and thruster drives, which typically comprise more than 80% of the electrical power consumption on electric propulsion vessels. A fault detection and islanding scheme for DC grid connected PV system is presented in this paper. Unlike traditional ac distribution systems, protection has been challenging for dc systems. The goals of this paper are to classify and detect the fault in the PV system as well as DC grid and to isolate the faulted section so that the system keeps operating without disabling the entire system. The results show the measured values of power at PV panel and DC grid side under different fault condition, which indicates the type of fault that occurs in the system.

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“…Drif et al. 17 studied a way to assess the energy loss related to shading of BIPV systems. 18–20 In addition, shading effect also had important effects on the ambient temperature, the direction of the building and the PV’s tilt angle.…”

Section: Introductionmentioning

confidence: 99%

Optimal configurations of high-rise buildings to maximize solar energy generation efficiency of building-integrated photovoltaic systems

Yang

Liu

Qian

2019

Indoor and Built Environment

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The purpose of the paper is to evaluate the shadow impact factor of buildings on building-integrated photovoltaic (BIPV) system efficiency and to determine optimal building configurations: shapes and orientation; to ensure BIPV efficiency based on the sun-shading effect. Also considered were the height, tilt angles, orientations and array spacing as well as different shapes of the podium building for BIPV system. A parametric design software called grasshopper and plug-in ladybug were used for the simulation. Model cases were built according to statistics of high-rise buildings in Shanghai. The simulation condition was based on the winter solstice of 21 December. The results show the best shapes for high-rise buildings are circle and square, to ensure the best BIPV system efficiency. The BIPV should be located on the roof and the ‘U’ type podium building is the best shape for mounting the BIPV system to provide a good sunlight exposure no matter what the high-rise building shape is. For PV panels, the best height is 0.618 m, the optimum tilt angle and array spacing is 30° and 1.214 m, respectively. The best orientation is southward followed by southeast, southwest and with the BIPV tilting upward at 30°. Therefore, to maximize the solar energy generation, architects should consider square and round high-rise buildings and ‘U’ type podiums for mounting BIPV systems in commercial complex buildings.

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A comprehensive method for estimating energy losses due to shading of GC-BIPV systems using monitoring data

Cited by 38 publications

References 11 publications

A shadow fault detection method based on the standard error analysis of I-V curves

A shadow fault detection method based on the standard error analysis of I-V curves

Fault Identification and Islanding in DC Grid Connected PV System

Optimal configurations of high-rise buildings to maximize solar energy generation efficiency of building-integrated photovoltaic systems

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