Performance of PV systems under real conditions

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Abstract European Workshop on Life Cycle Analysis and Recycling of Solar Modules The Waste Challenge, Brussels 18/19 March 24 Title : Authors: Performance of PV systems under real conditions Thomas Nordmann, Ulrike Jahn and Wolfgang Nasse Thomas Nordmann, TNC Consulting AG Seestrasse 141 CH 873 Erlenbach Switzerland Phone +41 1 991 55 77 Fax: +4 1 1 991 55 78 Email: nordmann@tnc.ch Ulrike Jahn, Institut für Solarenergieforschung GmbH Hameln/Emmerthal (ISFH), Am Ohrberg 1, D-3186 Emmerthal, Germany, Phone: +49 5151 999, Fax: +49 5151 999 4, Email: ujahn@easynet.de Wolfgang Nasse, Solar Engineering Decker & Mack GmbH, Vahrenwalder Straße 7, D-3165 Hannover, Germany, Phone: +49 511 9357 33, Fax: +49 511 9357 339, Email: nasse@solar-engineering.de Purpose of the work The purpose of this work is presenting and comparing operational performance results of grid-connected PV systems, as collected and elaborated for the Photovoltaic Power Systems Programme of the International Energy Agency (IEA). The general objective of this Task is to provide PV experts, research laboratories, PV industry, utilities and other target audiences with detailed information on the operational performance results and reliability of PV systems and subsystems. Approach Task 2 has collected information on the technical performance, reliability and cost of PV systems located in 15 countries. The information is entered into a Performance Database, which allows the user to select PV system data, monitoring data and calculated results as well as to export these data into spread sheet programmes. Task 2 participants have analyzed performance and reliability data for PV systems and components, both in order to ensure the quality and comparability of information in the Performance Database and to develop analytical reports on key issues. Activities to date include the work on the availability of irradiation data, tools for checking the performance of PV systems, shading effects and temperature effects as well as long-term performance and reliability analysis. This paper focuses on the final results on long-term performance and reliability issues of selected PV systems in different countries in Europe and in Japan. Particularly complete data sets and results are available from 33 grid-connected PV systems ranging from small-decentralized systems (PV roofs), dispersed systems (BIPV, sound barrier) to centralized systems (PV power plants). Performance ratios (PR) obtained from PV installations in different countries are compared on monthly and annual basis. Building integrated as well as non-integrated PV systems are compared with respect to performance ratio and reliability. Energy efficiency values of various PV array and inverter set-ups are also pooled and presented. Reduced yield analysis is summarized and demonstrated in case studies of selected PV installations. Scientific innovation and relevance The relevance of this work is manifold for further successful implementation of latest PV technology. The existing and updated Performance Database comprising a collection of high quality operational data aims at providing a unique tool for PV system performance analysis and comparison. This tool can be used to check the operational behaviour of existing PV plants and to illustrate the performance patterns expressed in standard quantities. Additionally, reliable and world-wide monitoring performance data and results underpin and support future developments for feed-in-tariffs and other financing schemes to stimulate the PV market. Results Comparing early PV installations (1991-1994) and new installations (after 1996) in Germany, a significant rise in mean annual PR of 13% was found. The high level of average PR (.74) and nearly constant annual PR values during five operational years (1998-22) indicate that the quality of the late systems in Germany has clearly increased. Similar results were gained for the 334 investigated gridconnected PV systems in 11 countries. Detailed results on performance, efficiency and reliability issues will be presented for early installations as well as for state-of-the-art PV systems. Conclusions The conclusions of this work allow to state trends on long-term performance analysis and reliability of grid-connected PV systems in different countries in Europe and in Japan. This includes recommendations on improved PV system design and installation gained from reduced yield analysis on well-monitored PV systems under special investigation.

Explanatory pages This paper presents operational performance results of grid-connected PV systems, as collected and elaborated for the Photovoltaic Power Systems Programme of the International Energy Agency (IEA). Performance indicators obtained from 372 PV installations in different countries are compared and discussed. Results of Task 2 international collaborative work include: _ PV Performance Database The IEA Performance Database contains high quality data of 372 monitored PV plants with an installed capacity of more than 12 MWp adapted to various applications (power supply, domestic uses, rural electrification, professional applications). The data are made available to the user through internal graphical displays and reports and by exporting the data into a standard spread sheet programme. Figure 1 shows the distribution of monthly monitoring data in 15 countries for the years 1986 to 22. 2 18 No. of monthly datasets 16 14 12 1 8 6 4 Portugal Poland Spain Belgium Mexico United Kingdom Sweden Israel France Austria Netherlands Italy Japan Switzerland Germany 2 Figure 1 Overview of collected monitoring data in the Task 2 Performance Database _ Trends on long-term performance of grid-connected PV systems in Germany It can be concluded that a negative tendency in terms of performance and yields was observed for 177 early installations (1991-1994) from the rooftop programme during eight years of operation (1993-2). Learning experiences were made for early inverter developments that had lead to frequent inverter failures, which resulted in significant reductions of the annual energy yields for some PV plants. 58 new PV installations in Germany (after 1996) revealed that they reach higher component efficiencies (e.g. inverter) and higher performance ratios (>.8). The high level of average annual PR (.74) and no change of average PR in five operational years (1998-22) indicate that the quality of the late systems in Germany has clearly increased. 1,9 1986 1987 1988 1989 199 1991 1992 1993 1994 1995 1996 1998 1999 2 21 22 Year,8 Performance ratio [ ],7,6,5,4,3 177 Installations (1991-1994),2 58 Installations (1996-22),1 Annual mean value (1991-1994) Annual mean value (1996-22) 1992 1993 1994 1995 1996 1998 1999 2 21 22 23 Figure 2 Trends of annual performance ratios of 177 residential PV systems installed between 1991 and 1994 compared to 58 new PV systems installed after 1996 in Germany Abstract EU workshop Waste challenge, March 24 2 Th. Nordmann U. Jahn_W. Nasse

Analysis of long-term performance of PV systems Task 2 has elaborated case studies on long-term performance trends, reduced yield analysis, reliability issues of PV systems and components in different countries. The final report includes summary results of the case studies and recommendations from lessons learnt and will be published in June 24. As an example: Considering 334 grid-connected PV plants in 11 countries from the Performance Database, a clear answer is given below. Figure 3 shows the distribution of 1142 annual PR values, which are grouped into two installation periods: All PV systems installed before 1995 have their maximum in the PR range of.65 to.7 and an average PR of.65 for 725 annual performance data. The newer installations since 1995 have their maximum in the range of.75 to.8 with an average value of PR=.7 for 417 annual datasets. This is a significant rise in PV system performance and reliability gained in these 11 countries during the past eight years of installation. 3% Performance Ratio Distribution (334 PV plants, 1142 annual values) 25% Performance Ratio [ ] 2% 15% 1% Installations before 1995 Installations since 1995 5% % <.4.4 -.45.45 -.5.5 -.55.55 -.6.6 -.65.65 -.7.7 -.75.75 -.8.8 -.85 >.85 Figure 3 Distribution of annual performance ratios of 334 grid-connected PV systems (1142 annual datasets) in 11 countries for two installation periods: a) The average annual PR of PV plants installed before 1995 is.65. b) The average annual PR of PV plants installed since 1995 is.7. Temperature effects on PV systems performance Figure 4 is an overview of the results of 18 PV systems, showing the temperature losses and the rise in module temperature from ambient (K at 1 W/m2)grouped by the type of mounting. Abstract EU workshop Waste challenge, March 24 3 Th. Nordmann U. Jahn_W. Nasse

Performance of PV systems under real conditions Results of IEA PVPS Task2 Photovoltaic Power Systems Programme European Workshop on Life Cycle Analysis and Recycling of Solar Modules The Waste Challenge, Brussels 18/19 March 24 Thomas Nordmann TNC Consulting AG CH 873 Erlenbach Switzerland nordmann@tnc.ch Ulrike Jahn Institut für Solarenergieforschung GmbH Wolfgang Nasse Solar Engineering Decker & Mack GmbH 1 PV questions and objectives of PVPS Task 2 How reliable and longlasting are PV systems? What can be learnt about operational performance? How can the PV systems be improved? How to assess the operational performance? Which are the trends in PV system performance in different countries? 2

The products of PVPS Task 2 Technical information on operational performance, long-term reliability and sizing of PV systems and subsystems Network of 12 experts from 6 IEA countries free Database incl. the program-engine Reports and publications National and international workshops 3 Task 2 products Reports 4

Database contents: it is free! >> www.task2.org Information of over 372 PV plants in IEA countries worldwide Grid-connected, off-grid and hybrid PV systems of 1 kwp up to 3 MWp General plant information System configuration and component data Monitoring data Calculated data 5 Distribution of monitoring data 6

The database footprint 1986 1988 Others Switzerland Netherlands Japan Italy Germany France Austria 199 1992 1994 1996 1998 2 22 7 Distribution of monitoring data Version 5/23 Grid connected Stand alone Plants Po [kwp] Plants Po [kwp] Datasets Plants Po [kwp] Datasets Austria 23 75 22 7 45 1 5 3 France 9 6 9 6 17 Germany 19 1'291 18 1'286 416 1 5 2 Italy 3 5'4 29 4'933 81 1 71 3 Japan 94 2'671 82 1'83 218 12 868 14 Netherlands 24 537 2 536 52 4 1 6 Switzerland 62 1'964 62 1'964 31 Others 19 247 16 246 38 3 1 6 total 37 11'796 339 1'838 1151 31 958 51 Façade 2 322 78 Stand alone 18 16 27 8

Task 2 Performance Database 9 Plant Domat, Year PR.8 [--] Yield 1'23 [kwh/kwp] 6 [kwh/kwp d] [%], [ C] 12 1 4 8 6 2 4 2 Jan- Feb- Mar- Apr- May- Jun- Jul- Aug- Sep- Oct- Nov- Dec- Conversion Losses System Losses Final Yield Performance [%] Operation [%] Module Temperature [ C] 1

DOMA 14 [kwp] 199-2; 1'155 [MWh] PR.72 [--] 1'1 [kwh/kwp a] Array Efficiency at 25 C and O = [--].15.13 Plant Domat; A =.17.11.9.7.5 199 1991 1992 1993 1994 1995 1996 1998 1999 2 Year / Month 11 Programme specifications PC of 64 MB RAM, 1 MB hard disk space Windows 95/98, NT4. or Windows 2 Excel for reports and data exports Filter, selection and easy navigation through the database Import and export tool 12

Task 2: more activities Availability of irradiation data FRA Tools for checking the performance of PV systems Shading effects on PV system performance JPN Temperature effects on PV system performance CH Analysis of long-term performance and reliability of PV systems D Country reports on PV system performance CH 13 Distribution of nominal power in database Plants < 1 kwp 8 6 4 2 Plants 1-99 kwp 3 25 2 15 1 5 Plants > 1 kwp 6 5 4 3 2 1 <.5 1 2 3 4 5 6 7 8 9 1 1.5 Nominal Power, Po [kwp] <5 1 2 3 4 5 6 7 8 9 1 15 Nominal Power, Po [kwp] <75 1 15 2 25 3 35 4 45 5 55 575 Nominal Power, Po [kwp] 14

Histograms of annual performance ratio all Plants 8 6 4 2 Plants, from 87-95 3 25 2 15 1 5 Plants, from 96-2 6 5 4 3 2 1.4.5.6.7.8.9 Performance Ratio, PR [--].4.5.6.7.8.9 Performance Ratio, PR [--].4.5.6.7.8.9 Performance Ratio, PR [--] 15 1-Roofs-PV-Programme in Germany 16

Germany (new installations) 17 Germany PV system performance 18

Germany PV system performance Before 1995: avr PR =.64; since 1995: avr. PR =.74 19 PV systems in Switzerland 2

PV systems in Japan 21 Trends in PV system performance 334 PV systems from 14 countries; 1142 annual datasets 3% 25% Installations 1983-1995 725 datasets Installations 1996-22 417 datasets 2% 15% 1% 5% % <.4.4 -.45.45 -.5.5 -.55.55 -.6.6 -.65.65 -.7.7 -.75.75 -.8.8 -.85 >.85 22

Trends in PV system performance 334 PV systems from 14 countries; 1142 annual datasets 3% 25% Installations 1983-1995 725 datasets Installations 1996-22 417 datasets 2% 15% 1% 5% % <.4.4 -.45.45 -.5.5 -.55.55 -.6.6 -.65.65 -.7.7 -.75.75 -.8.8 -.85 >.85 Annual mean PR: 1983-1995 =.66 1996-22 =.7 23 all plants (37x) vs facade (21x) Yield Yf [kwh/kwp a] Plants (Facade) 8 6 4 Plants, 1% Operation 8 Plants, 1% Operation 7 2 6 4 6 5 4 3 < 2 6 1 14 18 22 26 3 34 38 4 Nominal Power, Po [kwp] 2 2 1 4 6 8 1 12 14 16 18 2 Annual Yield, Yf [kwh/kwp a] 3 5 7 9 11 125 Annual Yield,Yf [kwh/kwp a] 24

Temperature effects on PV system performance I Facade Sloped roof Freestanding Flat roof 1% 8% 6% 4% 2% % -2% 5 4 3 2 1-1 Stadelhofen Aachen Klammt AG Stadtmühle_F Becker Bologna Buchinger Hiroshima-City Wildkogelbahn Domat Nagoya City 4 Portugaller Zulehner Bolzano Laus Marzili Muttenz Stadtmühle_R C Temperature Losses Conversion Losses System Losses Final Yield Module Temperature Ambient Temperature 25 Temperature effects on PV system performance II Temperature Losses J Temperature Rise Temperature Loss 16% 12% 8% 4% % -4% J J J J J J Sloped roof, Facade Sloped roof Freestanding Flat roof highly integrated 6 4 2-2 -4 Rise in Temperature [K/kW m^2] 26

Trends of reliability of 116 systems in Germany, Switzerland and Italy Increase in system availability : 1-2% Increase in performance ratio: 5 % 27 Distribution of PV database by user 28

IEA PVPS planed activity from Proposed workplan for Task 2 extension 24-27 Activity 34: Life cycle economical performance «putting the elements together» Evaluate the existing information of systems in the task 2 database, concerning long-term electrical performance. Include a simple model of capital cost typical for the different sizes and markets (interest, pay back time etc.). 29 Expected output: Technical report The elements of life circle economic performance for photovoltaic installations (working title). Workshop Findings of the activity are summarized in a concluding report. 3

Lessons learned Clear tendency of increasing performance for new PV installations Range of PR distribution is decreasing. Broad range is due to failures, shading, MPPT mismatch, badly oriented arrays and high module temperatures. Well-performing system show PR>.8, while mean PR of.7 is lower than expected. Early installations show decreasing PR tendency; new PV plants have no change in annual PR. Rise in system performance is only partly due to rise in system availability. 31 Conclusions Performance trends are clearly positive. Average annual PR values of.8 are to be achieved. Same problems & same recommendations to be given for systems of lower performance BIPV must combine building requirements, architectural design criteria and highest technical performance. Long-term experiences in reliabilities of PV systems and components are important for a wide dissemination of PV in future. Monitoring activities and programmes are required to ensure quality management and will lead to improved system reliability. 32

Recommendations Consider reliability of inverters and allow for easy replacement of faulty units. Avoid long repair times of faulty components Minimize shading by array wiring configuration Ensure that orientation of PV array is optimized Avoid arrays with different orientations feeding into one inverter (MPPT mismatch) Prevent overheating of PV modules Understand factors that affect PR: deviation from module specifications, reflection losses, module mismatch in strings, wiring losses. 33 visit: www.task2.org 34