Shading effect on the energy rating of two identical PV systems on a building façade

Eke, Rüştü; Demircan, Cihan

doi:10.1016/j.solener.2015.08.022

Cited by 41 publications

(15 citation statements)

References 22 publications

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“…The main contribution of this work is the variation of the minimum and maximum power and voltage ratios which can be evaluated using (5)(6). The main finding of the proposed algorithm is shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

“…The need for higher performance, efficiency and reliability for grid-connected PV (GCPV) systems has led to a recent interest in fault detection algorithms. Different factors can be responsible for the production losses in a PV system, including; maximum power point tracking (MPPT) error [3][4], wiring losses and ageing [5], shading effect [6][7], dust effect [8], snow accumulation on the surface of the solar panels [9] and faulty dc-ac inverters [10].…”

Section: Introductionmentioning

confidence: 99%

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Parallel fault detection algorithm for grid-connected photovoltaic plants

2017

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In this work, we present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to outline a parallel fault detection algorithm that can diagnose faults on the DC-side and AC-side of the examined GCPV system based on the t-test statistical analysis method. For a given set of operational conditions, solar irradiance and module's temperature, a number of attributes such as voltage and power ratio of the PV strings are measured using virtual instrumentation (VI) LabVIEW software. The results obtained indicate that the parallel fault detection algorithm can detect and locate accurately different types of faults such as, faulty PV module, faulty PV String, Faulty Bypass diode, Faulty Maximum power point tracking (MPPT) unit and Faulty DC/AC inverter unit. The parallel fault detection algorithm has been validated using an experimental data climate, with electrical parameters based on a 1.98 and 0.52 kWp PV systems installed at the University of Huddersfield, United Kingdom.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parallel fault detection algorithm for grid-connected photovoltaic plants

2017

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“…Their partial shading effects, power profiles under different conditions, behaviors under real experimental test platforms, integration with installed power electronics, etc. are widespread research areas of the RSPSs [16][17][18]. Moreover, the various studies by the PV*SOL have been presented at different countries.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Grid-Connected Rooftop Solar Photovoltaic System

et al. 2019

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Turkey is among the countries largely dependent on energy import. This dependency has increased interest in new and alternative energy sources. Installation of rooftop solar photovoltaic systems (RSPSs) in Turkey is increasing continuously regarding geographical and meteorological conditions. This paper presents an insight into the potential situation for Turkey and a simulation study for the RSPS designing and calculation for the faculty building at Marmara University in Istanbul. This simulation study demonstrates that 84.75-kWp grid-connected RSPS can produce remarkable power. The system is performed in detail with the PV*SOL software (Premium 2017 R8 - Test Version, Valentin Software GmbH, Berlin, Germany). Detailed financial and performance analysis of the grid-connected RSPS for faculty building with various parameters is also carried out in this study. According to the simulation results, the system supplies 13.2% of the faculty buildings’ annual electrical energy consumption. The annual savings value of faculty buildings’ electrical consumption is approximately 90,298 kWh energy which costs roughly $7296. A photovoltaic (PV) system installation for the faculty building, which has considerable potential for solar energy and sunshine duration, is indispensable for clean energy requirements and was supported by the simulation results. This paper can be considered to be a basic feasibility study prior to moving on to the implementation project.

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“…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. Different shading caused by different gaps could also influence the ventilation.…”

Section: Introductionmentioning

confidence: 99%