Monitoring of Defects of a Photovoltaic Power Plant Using a Drone

Libra, Martin; Daneček, Milan; Lešetický, Jan; Poulek, V.; Sedláček, Jan; Beránek, Václav

doi:10.3390/en12050795

Cited by 40 publications

(32 citation statements)

References 26 publications

(26 reference statements)

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“…In 2018, two new methods were introduced for automatic fault detection, one by monitoring identical sets (sister arrays) connected to the same inverter of PV system [24] and one where PV measurements are clustered to normal and non-normal operation, based on the historical behavior of the PV system [25]. A most recent study featured the use of drones for temperature monitoring of PV plants on large rooftops [26].…”

Section: Pv Monitoring and Malfunction Detection Through The Yearsmentioning

confidence: 99%

A Time-Series Data Analysis Methodology for Effective Monitoring of Partially Shaded Photovoltaic Systems

Tsafarakis

Sinapis²,

Sark

2019

Energies

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The majority of photovoltaic (PV) systems in the Netherlands are small scale, and installed on residential and commercial rooftops, where different objects in many cases may lead to the presence of shading and inevitable energy loss. Nevertheless, the energy loss due to expected shadow must be distinguished from the energy loss due to other malfunctions. In this study an algorithmic tool is presented that automates the process of analyzing monitoring data of partially shaded PV systems. The algorithm compares long-term and high-resolution yield data of a partially shaded PV system with the yield data of an unshaded PV system, as reference PV system, and automatically detects the energy loss due to the expected shadow, caused by any surrounding obstacles, and distinguishes it from any additional energy loss due to other malfunctions. This study focuses on PV systems with module-level power electronics (MLPE) since these are mostly used on PV systems on rooftops. Three different cases of shaded MLPE PV systems are presented to illustrate the versatility of the methodology. Furthermore, suggestions for further research are discussed at the end of the paper.

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Section: Pv Monitoring and Malfunction Detection Through The Yearsmentioning

confidence: 99%

A Time-Series Data Analysis Methodology for Effective Monitoring of Partially Shaded Photovoltaic Systems

Tsafarakis

Sinapis²,

Sark

2019

Energies

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“…Another important factor is the degradation of the system over time. However, such degradation is expected to be compensated by maintenance methods and various techniques such as monitoring systems [44,45].…”

Section: Solar Potentialmentioning

confidence: 99%

Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University

Park

2019

Energies

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University campuses accommodate large numbers of people and are suitable places to organize a microgrid. The solar potential in the university area is estimated and the optimal orientation of solar panels is presented in this study. The optimal orientation is analyzed considering temporal volatility to increase the stability of the grid. Several variables are selected and scenarios are designed to consider various investments and technologies. Scenario-specific photovoltaic potentials were estimated using Geographic Information Systems analysis technology. Analysis of temporal volatility was conducted based on the difference between demand and supply of electricity. Optimal panel orientations were presented according to project objectives, such as highest efficiency or low volatility. As a result, the total potential of the study area was tens to hundreds of GWh/year depending on the scenario. The university has an advantage in hourly volatility, but has some problems in monthly volatility. The optimal orientation varies according to objectives and solar power supply ratio. The results of this study are expected to help researchers and technicians in the solar energy industry and assist in urban planning.

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“…Unmanned aerial vehicles (UAVs) can also support preliminary visual inspections of boilers in power production blocks. Drones, properly selected and constructed, can support the processes of maintaining and managing heating and electricity networks [ 54 , 55 , 56 ]. The drones are also used during monitoring and cyclical measurement of the volume of stored or accumulated goods, or orthophoto mapping [ 57 ].…”

Section: Introductionmentioning

confidence: 99%

Developing of Low-Cost Air Pollution Sensor—Measurements with the Unmanned Aerial Vehicles in Poland

Pochwała

Gardecki

Lewandowski

et al. 2020

Sensors

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This article presents the capabilities and selected measurement results from the newly developed low-cost air pollution measurement system mounted on an unmanned aerial vehicle (UAV). The system is designed and manufactured by the authors and is intended to facilitate, accelerate, and ensure the safety of operators when measuring air pollutants. It allows the creation of three-dimensional models and measurement visualizations, thanks to which it is possible to observe the location of leakage of substances and the direction of air pollution spread by various types of substances. Based on these models, it is possible to create area audits and strategies for the elimination of pollution sources. Thanks to the usage of a multi-socket microprocessor system, the combination of nine different air quality sensors can be installed in a very small device. The possibility of simultaneously measuring several different substances has been achieved at a very low cost for building the sensor unit: 70 EUR. The very small size of this device makes it easy and safe to mount it on a small drone (UAV). Because of this device, many harmful chemical compounds such as ammonia, hexane, benzene, carbon monoxide, and carbon dioxide, as well as flammable substances such as hydrogen and methane, can be detected. Additionally, a very important function is the ability to perform measurements of PM2.5 and PM10 suspended particulates. Thanks to the use of UAV, the measurement is carried out remotely by the operator, which allows us to avoid the direct exposure of humans to harmful factors. A big advantage is the quick measurement of large spaces, at different heights above the ground, in different weather conditions. Because of the three-dimensional positioning from GPS receiver, users can plot points and use colors reflecting a concentration of measured features to better visualize the air pollution. A human-friendly data output can be used to determine the mostly hazardous regions of the sampled area.

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Monitoring of Defects of a Photovoltaic Power Plant Using a Drone

Cited by 40 publications

References 26 publications

A Time-Series Data Analysis Methodology for Effective Monitoring of Partially Shaded Photovoltaic Systems

A Time-Series Data Analysis Methodology for Effective Monitoring of Partially Shaded Photovoltaic Systems

Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University

Developing of Low-Cost Air Pollution Sensor—Measurements with the Unmanned Aerial Vehicles in Poland

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