Performance of grid-tied PV facilities: A case study based on real data

Díez-Mediavilla, M.; Dieste-Velasco, M.I.; Rodríguez-Amigo, M.C.; García-Calderón, T.; Alonso-Tristán, Cristina

doi:10.1016/j.enconman.2013.08.035

Cited by 22 publications

(6 citation statements)

References 35 publications

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“…The PVPS Task 2 provided suitable information on the operational performance, reliability, and costs of PV systems to various stakeholders. In addition, over the previous years, several groups of researchers conducted a performance evaluation of small and utility-scale PV projects [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66]. The performance of PV projects are essentially analyzed in terms of a) capacity utilization factor, b) specific energy generation, c) performance ratio, d) efficiency of the PV system, and e) levelized cost of electricity.…”

Section: Mwmentioning

confidence: 99%

Performance assessment of grid-interactive solar photovoltaic projects under India’s national solar mission

Purohit¹,

Purohit

2018

Applied Energy

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Performance evaluation of solar photovoltaic projects under India's Solar Mission • Inter-comparability of solar radiation databases for solar photovoltaic projects • Mean percentage error analysis for capacity factor and levelized cost of electricity • Energy yield assessment of photovoltaic projects using solar radiation databases • Long-term measured or high-resolution time series databases should be preferred

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Section: Mwmentioning

confidence: 99%

Performance assessment of grid-interactive solar photovoltaic projects under India’s national solar mission

Purohit¹,

Purohit

2018

Applied Energy

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“…The mean value of PR is 78%. As a comparison, values of PR between 48% and 93% have been reported in other works (Munro and Blaesser, 1994;Anis and Nour, 1995;Baltus et al, 1997;Blaesser, 1997;Decker and Jahn, 1997;Erge et al, 2001;Oozeki et al, 2010;Reich et al, 2012;Van Sark et al, 2012, Pelland andAbboud, 2008;Ueda et al, 2009;Eltawil and Zhao, 2010;Hussin et al, 2012;Wittkopf et al, 2012;Díez-Mediavilla et al, 2013;Woyte et al, 2013;Bonsignore et al, 2014;Colantuono et al, 2014;Myong et al, 2015;Tsafarakis and Van Sark, 2015;Kausika et al, 2018;Seme et al, 2019).…”

Section: C) Technical Qualitysupporting

confidence: 57%

“…Over the last decades, numerous monitoring campaigns have allowed to report and analyse the performance of thousands of PV systems worldwide (Anis and Nour, 1995;Baltus et al, 1997;Blaesser, 1997;Decker and Jahn, 1997;Erge et al, 2001;Pelland and Abboud, 2008;Ueda et al, 2009;Eltawil and Zhao, 2010;Hussin et al, 2012;Leloux et al, 2012aLeloux et al, , 2012bWittkopf et al, 2012;Díez-Mediavilla et al, 2013;Woyte et al, 2013;Bonsignore et al, 2014;Colantuono et al, 2014;Leloux et al, 2015;Myong et al, 2015;Taylor et al, 2015a;Tsafarakis and Van Sark, 2015;Kausika et al, 2018;Seme et al, 2019). These studies have shown a wide disparity in performance between the PV systems, with Performance Ratio (PR) values typically comprised between 60% and 90%.…”

Section: Introductionmentioning

confidence: 99%

Contribution to the analysis of the performance of distributed PV systems

Leloux¹

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This work aims to constitute a contribution to the field of the analysis of the performance of distributed photovoltaic (PV) systems and to the detection of faults of operation that can hinder their performance. With that objective in view, the work has been articulated around three main lines of research: the analysis of the performance of dozens of thousands of PV systems in Europe, the development of a novel fault detection method applied to PV system fleets, and the generation of solar irradiation data from the PV energy output.We have based our analysis on the operational data monitored at more than 31,000 PV systems in Europe, with special focus over Belgium and France, and in a lesser extent to the UK and Spain.For the analysis of the performance of PV systems, three main questions are posed: how much energy do they produce? What level of performance is associated with their production? Which are the key parameters have the most influence on their quality?The mean Energy Yield of the PV systems located in each of the four reference countries is 1115 kWh/kWp for France, 898 kWh/kWp for the UK, 908 kWh/kWp for Belgium, 1450 kWh/kWp for the PV plants in Spain mounted on a static structure, and 2127 kWh/kWp for those mounted on a solar tracker in Spain.The quality of the PV systems is quantified using the Performance Ratio (PR), and the Performance Index (PI). After a mean exposure time of 2 years, the mean value of Performance Ratio is 78% in Belgium and 76% in France, and the mean Performance Index of the PV systems is 85% in both countries, which implies that the typical real PV system produces 15% less than a very high-quality PV system (or reference PV system) under the same conditions. On average, the real power of the PV modules falls some 5% below their corresponding nominal power announced on the manufacturer's datasheet. However, some modules show a real power more than 15% below the nominal power announced by their manufacturer. A brief analysis by PV module technology has led to relevant observations about two technologies. On the one hand, the PV systems equipped with Heterojunction with Intrinsic Thin layer (HIT) modules show performances higher than average. On the other hand, the systems equipped with Copper Indium Gallium Selenide (CIGS/CIS) modules show a real power that is 16 % lower than their nominal value.We have shown that the distribution of the yearly integrated PR can be modeled well using a Weibull distribution for PR values ranging from 60% to 90%. This range of values represents the majority of the PV systems, and we suggest that they are representative of the state of the art for PV systems in Europe. The typical PR value for the PV systems installed in Europe before 2015 is 79% and its value for the PV systems installed in the last few years is 81%.2) Estimating the tilted solar radiation in any plane G(α2,β2) from another plane G(α1,β1)

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“…itoring and performance evaluation of the PV systems are necessary [4]- [6]. At present, many performance evaluation methods of PV systems have been presented.…”

Section: Introductionmentioning

confidence: 99%

A Health Status-Based Performance Evaluation Method of Photovoltaic System

Ding

Zhang

et al. 2019

IEEE Access

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The large scale application of the photovoltaic (PV) systems is significantly beneficial to the mitigation of energy crisis. The quality and performance of PV systems directly influence the energy yield. It is necessary to establish more scientific and effective methods to maximize the energy yield. In this paper, the concept of health status is proposed to describe the performance of PV systems within a certain period of time. A health status based performance evaluation model is built by the Gaussian mixture models (GMM) and the empirical mode decomposition (EMD). Then, the health index (HI) of PV array is defined. Under the outdoor ambient conditions, the proposed model can sensitively detect the slight performance reduction caused by faults or partial shadings of the PV array in real-time. At last, the proposed method is verified by the simulations and experiments. Experimental results show that on the sunny day the average daily HI is 1.2 and the average performance ratio (PR) is 0.85, which both show the PV array is healthy. When one of the PV modules in the PV array is partially shaded, the PR is still approximate 0.9. However, the calculated HI is greater than the threshold and the fault is reported. The results indicate that the proposed method can sensitively identify pseudo health status that cannot be identified by the PR. The proposed evaluation method based on health status provides an alternative option to assess the performance of the PV systems. Combining with the PR, the comprehensive performance of the PV systems can be reflected more accurately.

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Performance of grid-tied PV facilities: A case study based on real data

Cited by 22 publications

References 35 publications

Performance assessment of grid-interactive solar photovoltaic projects under India’s national solar mission

Performance assessment of grid-interactive solar photovoltaic projects under India’s national solar mission

Contribution to the analysis of the performance of distributed PV systems

A Health Status-Based Performance Evaluation Method of Photovoltaic System

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