Determining of Damages Caused by Fire on Photovoltaic Power Stations

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1001.282 ◽

2014 ◽

Vol 1001 ◽

pp. 282-287

Author(s):

Zdeněk Kadlec ◽

Milos Kvarčak ◽

Adam Thomitzek ◽

Martin Trčka

Keyword(s):

Weather Station ◽

Power Stations ◽

Photovoltaic Power

The fire produce harms and damage environment. The fire assessment of photovoltaic power stations is based on testimony, photographic and some next records of during fire, data recorded by Weather Station of photovoltaic’ s station and from inspection of fireplace after extinguishing of fire.

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PVsyst Software for Better Energy Efficiency of a Grid-Connected Photovoltaic Power Station

Bulletin of the South Ural State University series Power Engineering ◽

10.14529/power210209 ◽

2021 ◽

Vol 21 (2) ◽

pp. 85-93

Keyword(s):

Weather Station ◽

Tracking Systems ◽

Power Station ◽

Solar Insolation ◽

Power Stations ◽

Photovoltaic Power ◽

Solar Tracking ◽

Orenburg Oblast ◽

Solar Tracker

The paper presents a classification of solar tracking systems used in photovoltaic power stations (PVS) and their operating principles. A simulation model of a grid-connected 5-kW PVS has been developed in PVsyst, to which end the researchers selected PVS equipment and optimized the PV cell tilt angles. The paper further analyzes a grid-connected PVS in Orenburg Oblast in PVsyst under the following configurations: static PV cells, not tilted vs seasonally varied tilts; single-axis solar trackers with vertical and horizontal axes of rotation vs a dual-axis solar tracker. The analysis is based on solar insolation data for 2019 obtained from the research team’s HP-2000 weather station. Dual-axis solar tracker and single-axis vertical trackers are shown to have the best year-round generation, providing an increase of 13.2% and 11.5%, respectively, against the static PV cells (no change in tilt).

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A Study on the Improvement of Efficiency by Detection Solar Module Faults in Deteriorated Photovoltaic Power Plants

Applied Sciences ◽

10.3390/app11020727 ◽

2021 ◽

Vol 11 (2) ◽

pp. 727 ◽

Cited By ~ 1

Author(s):

Myeong-Hwan Hwang ◽

Young-Gon Kim ◽

Hae-Sol Lee ◽

Young-Dae Kim ◽

Hyun-Rok Cha

Keyword(s):

Power Generation ◽

Power Plants ◽

Detection System ◽

Failure Detection ◽

Solar Module ◽

Thermal Images ◽

Power Stations ◽

Photovoltaic Power ◽

Manufacturing Technologies ◽

Pv Power Generation

In recent years, photovoltaic (PV) power generation has attracted considerable attention as a new eco-friendly and renewable energy generation technology. With the recent development of semiconductor manufacturing technologies, PV power generation is gradually increasing. In this paper, we analyze the types of defects that form in PV power generation panels and propose a method for enhancing the productivity and efficiency of PV power stations by determining the defects of aging PV modules based on their temperature, power output, and panel images. The method proposed in the paper allows the replacement of individual panels that are experiencing a malfunction, thereby reducing the output loss of solar power generation plants. The aim is to develop a method that enables users to immediately check the type of failures among the six failure types that frequently occur in aging PV panels—namely, hotspot, panel breakage, connector breakage, busbar breakage, panel cell overheating, and diode failure—based on thermal images by using the failure detection system. By comparing the data acquired in the study with the thermal images of a PV power station, efficiency is increased by detecting solar module faults in deteriorated photovoltaic power plants.

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Comparison Between Measurements and WRF Numerical Simulation of Global Solar Irradiation in Romania

Annals of West University of Timisoara - Physics ◽

10.1515/awutp-2015-0103 ◽

2013 ◽

Vol 57 (1) ◽

pp. 24-33 ◽

Cited By ~ 1

Author(s):

Dragos Isvoranu ◽

Viorel Badescu

Keyword(s):

Numerical Simulation ◽

Preliminary Analysis ◽

Measured Data ◽

Solar Irradiation ◽

Short Term ◽

Data Accessibility ◽

Power Stations ◽

Photovoltaic Power ◽

Global Solar Irradiation ◽

Global Irradiation

Abstract The paper presents a comparative analysis between the surface global irradiation measured for Romania and the predicted irradiation obtained by numerical simulation. The measured data came from the Romanian National meteorological Administration. Based on a preliminary analysis that took into account several criteria among which, performance, cost, popularity and meteorological and satellite data accessibility we concluded that a combination GFS-WRF(NMM) or GFS-WRF(ARW) is most suitable for short term global solar irradiation forecasting in order to assess the performance of the photovoltaic power stations (Badescu and Dumitrescu, 2012, [1], Martin et al., 2011, [2]).

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