Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

Kausika, Bala Bhavya; Moraitis, Panagiotis; Sark, W.G.J.H.M. van

doi:10.3390/en11061330

Cited by 16 publications

(14 citation statements)

References 13 publications

(12 reference statements)

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“…To illustrate seasonal effects, we will show typical summer and winter day data for clear sky, completely overcast, and mixed clear/cloudy conditions. To calculate PV energy yield, we used a single PV module efficiency of 20%, corresponding to using 320 Wp modules of 1.6 m 2 size, and multiplied this with a performance ratio (PR) value of 0.85 to account for temperature and other system losses, which is consistent with well-performing PV systems in the Netherlands [12]. The actual design of a PV system covering façades and roof of a building is facilitated by the availability of 3D drawings of buildings, such as in SketchUp [13].…”

Section: Pv Yieldmentioning

confidence: 99%

Steps Towards an Optimal Building-Integrated Photovoltaics (BIPV) Value Chain in the Netherlands

Poel

Sark

Aartsma

et al. 2019

Sustainability in Energy and Buildings

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We assess the feasibility of renovation of a 22-story high-rise building from the 1960s to realize a near-zero energy building by cladding all usable parts of facades and roof using building integrated photovoltaic (BIPV) components. With the present building electricity demand, which includes all energy demand of the building except for heating, it is not possible to generate all demand by BIPV: an annual self-sufficiency ratio of 0.666 or 0.756 is found, using two different roof designs, and 60% coverage of all facades by highly efficient (20%) BIPV modules. Analysis of energy yield on different typical days in summer and winter reveals that the building is self-sufficient for many hours of the day. As on such days, self-consumption is relatively low, which leads to considerable feed-in of surplus electricity to the grid, application of local storage would increase self-sufficiency considerably. Furthermore, it is imperative to lower the electricity demand of the building to reach high self-sufficiency ratios. 29.1 Introduction 29.1.1 Near-Zero Energy Buildings As buildings consume 40% of the European energy supply all new buildings in the EU built from 2020 onwards should be nearly zero energy buildings (NZEBs). This means that the energy demand of the buildings should ideally be met by local generation, at least on an annual basis. Such a building is self-sufficient [1]. The European Performance of Buildings Directive 2010/31/EU is the key market driver for this in order for the built environment to contribute to the substantial lowering of greenhouse gas emissions [2]. The 2016 "Winter Package" communicated by the European Commission stated that also existing buildings should be renovated to

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Section: Pv Yieldmentioning

confidence: 99%

Steps Towards an Optimal Building-Integrated Photovoltaics (BIPV) Value Chain in the Netherlands

Poel

Sark

Aartsma

et al. 2019

Sustainability in Energy and Buildings

Self Cite

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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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“…Fault location identification from the measured data is a critical application of data analytics techniques. The GridCloud [78] An open-source platform for real-time data acquisition, sharing, and monitoring FNET/GridEye [75] Visualization of system stress 3D visualization using AVS Express7.3 [79] Visualize real-time power system information and relationship utilizing SCADA data Tableau [80,81] SG data visualization Microsoft Power BI [82] Smart meter data visualization Animation loops [83] Combine periodic snapshots of the grid into time-lapse videos defined across geographic areas Sparklines [83] Summarize trends in time-varying PMU data as word-sized line plots Google Earth [64,84] SG data visualization Cartography and spatial analysis techniques [85] Visualize, yield and performance map of grid-connected PV systems GIS [77] To display real-time operational data…”

Section: Data Miningmentioning

confidence: 99%

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Thasnimol

Rajathy

2020

Open Computer Science

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Bi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

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Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

Cited by 16 publications

References 13 publications

Steps Towards an Optimal Building-Integrated Photovoltaics (BIPV) Value Chain in the Netherlands

Steps Towards an Optimal Building-Integrated Photovoltaics (BIPV) Value Chain in the Netherlands

Contribution to the analysis of the performance of distributed PV systems

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

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