Monitoring performance and efficiency of photovoltaic parks

Bizzarri, Federico; Brambilla, A.; Caretta, Lorenzo; Guardiani, Carlo

doi:10.1016/j.renene.2015.01.002

Cited by 23 publications

(16 citation statements)

References 25 publications

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“…Monitoring a PV system is a well-known and widespread practice around world [21][22][23][24][25][26][27][28][29][30][31][32]. Monitoring all operational parameters of a PV solar plant (e.g., DC-AC voltages, currents, power, solar radiation, etc.)…”

Section: Monitoring Of Pv Power Plant-method Results and Discussionmentioning

confidence: 99%

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

et al. 2017

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This paper presents results of one-year monitoring of AC side electrical parameters and the characterization of local solar radiation at the biggest rooftop PV Power Plant, with an installed capacity of 1.42 MWp, mounted at Mineirão Football Stadium in Brazil. This stadium is one of the sport facilities that hosted 2014 FIFA World Cup and Rio 2016 Summer Olympics Games in the country. Results showed how it is important to study and characterize the solar resource in the region of interest, based on historic data, to provide the understanding of solar radiation and thus project PV power plants with better performance. Furthermore, AC electrical data show the behavior of active, reactive and apparent powers and the influence of the PV system on the power factor at the local grid utility connection point. Finally, PV power plant performance data (as annual final yield, performance ratio and capacity factor) are also presented and compared with data from PVsyst software simulations. The results over the monitoring period were good considering the specificities of the stadium.

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Section: Monitoring Of Pv Power Plant-method Results and Discussionmentioning

confidence: 99%

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

et al. 2017

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“…In [4], nom was replaced with the expected ac power ac , evaluated as ac = ( 1 + 2 + 3 log ( )) (1 + 4 (Δ )) , (3) where 1 , 2 , 3 , and 4 are fitting parameters, while, in [5,6], (1) was modified as follows:…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

“…Unfortunately, as evidenced by (1)-(4), the latter information depends on the specific weather conditions. This problem has been tackled (e.g., [3,8]) by enriching the monitoring system with additional sensors (irradiance, temperature, wind speed, and so on), allowing to convert weather information into suitable yield targets. The main drawback of this approach (in addition to the need for a more pervasive sensor network) is that it requires accurate models and reliable parameters.…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

Mismatch Based Diagnosis of PV Fields Relying on Monitored String Currents

Guerriero

Piegari

Rizzo

et al. 2017

International Journal of Photoenergy

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This paper presents a DC side oriented diagnostic method for photovoltaic fields which operates on string currents previously supplied by an appropriate monitoring system. The relevance of the work relies on the definition of an effective and reliable day-by-day target for the power that every string of the field should have produced. The procedure is carried out by comparing the instantaneous power produced by all solar strings having the same orientation and by attributing, as producible power for all of them, the maximum value. As figure of merit, the difference between the maximum allowed energy production (evaluated as the integral of the power during a defined time interval) and the energy actually produced by the strings is defined. Such a definition accounts for both weather and irradiance conditions, without needing additional sensors. The reliability of the approach was experimentally verified by analyzing the performance of two medium size solar fields that were monitored over a period of four years. Results allowed quantifying energy losses attributable to underperforming solar strings and precisely locating their position in the field.

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“…Other monitoring approaches are based on performance indicators calculated through electrothermal modelling techniques of the PV plant [3]. As these indicators are calculated on a daily basis, thus they are also not effective for our purposes.…”

Section: Introductionmentioning

confidence: 99%

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Simón-Martín¹,

Diez-Suárez²,

Prado³

et al. 2017

Preprint

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Abstract:It is well known that working PV plants show several maintenance needs due to wiring and modules degradation, mismatches, dust and PV cells defects and faults. There are a wide range of studies that show the theoretical and some laboratory tests of how these circumstances may affect the PV production. Thus, it results mandatory to evaluate the whole PV plant performance and, then, it's payback time, profitability and environmental impact or carbon footprint. However, very few studies include a systematic procedure to quantify and supervise the real degradation effects and faults impacts on the field. In this paper, the authors first conduct a brief review of the most frequent PV faults and degradation that can be found on real conditions operative PV Plants. Then, they propose and develop an innovative Geographic Information System application to locate and supervise them. The designed tool has been applied to either a large PV plant of 108 kWp and a small PV plant of just 9 kWp installed on a home rooftop. For the large PV plant, 24 strings of PV modules have been modelized and introduced into the GIS application and every module in the power plant has been studied including voltage, current, power, series and parallel resistance, fill factor, normalized PV curve to STC, thermography and visual analysis. For the small PV installation 3 strings of PV panels have been studied identically. It must be noticed that PV modules in this case include power optimizers. The precision of the study allows the researchers to locate and supervise up to a third part of every PV cell in the system, which are adequately georreferenciated. The developed tool allows both the researchers and the investors to increase control on the PV plant performance and conducts to a better planification of maintenance actuations and to evaluate several PV modules replacement strategies in a preventive maintenance programme. Found PV faults include hot spots, snail tracks, EVA discoloration, PV cells fractures, busbars discoloration, bubbles and Si discoloration.

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Monitoring performance and efficiency of photovoltaic parks

Cited by 23 publications

References 25 publications

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

Mismatch Based Diagnosis of PV Fields Relying on Monitored String Currents

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

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