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© Fraunhofer ISE LONGTERM EXPERIENCE WITH PV POWER PLANTS IN GERMANY Dr. Christian Reise Fraunhofer Institute for Solar Energy Systems ISE Freiburg, Germany Solar Operations & Maintenance Milan, October 9 th , 2013

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Page 1: 03   christian reise - fraunhofer

© Fraunhofer ISE

LONGTERM EXPERIENCE

WITH PV POWER PLANTS IN GERMANY

Dr. Christian Reise

Fraunhofer Institute for

Solar Energy Systems ISE

Freiburg, Germany

Solar Operations & Maintenance

Milan, October 9th, 2013

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The Fraunhofer ISE Quality Circle

Yield Assessments Module

Measurements

System tests

Quality

Monitoring

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What are the questions?

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What are the questions?

What is the state-of-the-art performance of a PV power plant?

What about degradation?

What affects system reliability?

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What are the questions?

What is the state-of-the-art performance of a PV power plant?

A review of 20+ years of commercial PV systems in Germany

What about degradation?

A study on 100+ power plants in Germany

What affects system reliability?

Modules / inverters / operation management…

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PV support schemes in Germany

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Development of system Performance Ratio in Germany

A typical

5 kWp

system

installed

in 1993

within the

German

1000 Roofs

Programme

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Performance Ratio (PR): A simple Definition

PR =

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Development of system Performance Ratio in Germany

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Development of system Performance Ratio in Germany

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In Germany, state-of-the-art PV systems reach PR(si) values around 90%

Note the difference of some 3…4% between PR(si) and PR(pyr)

In southern Europe, PR will be reduced by 3…5%

Development of system Performance Ratio in Germany

Where is the limit?

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In Germany, state-of-the-art PV systems reach PR(si) values around 90%

Note the difference of some 3…4% between PR(si) and PR(pyr)

In southern Europe, PR will be reduced by 3…5%

Development of system Performance Ratio in Germany

Where is the limit?

PR =

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Modules show rated power

Maintenance of area

Theft protection

Minimized row to row shading

Important factors for successful projects

Lessons learnt

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Important factors for successful projects

Lessons learnt

Modules show rated power

Maintenance of area

Theft protection

Minimized row to row shading

Minimized local shading

Durable installation

QC with commissioning

Regular cleaning intervals

Monitoring of operation

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What are the questions?

What is the state-of-the-art performance of a PV power plant?

A review of 20+ years of commercial PV systems in Germany

What about degradation?

A study on 100+ power plants in Germany

What affects system reliability?

Modules / inverters / operation management…

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A study on 100+ power plants in Germany

Data Handling

Filtering of 5-min average values:

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A study on 100+ power plants in Germany

Data Handling

Filtering of 5-min average values:

Irradiance between

800…1000 W/m²

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A study on 100+ power plants in Germany

Data Handling

Filtering of 5-min average values:

Irradiance between

800…1000 W/m²

Module temperature between

40…45 °C

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A study on 100+ power plants in Germany

Data Handling

Filtering of 5-min average values:

Irradiance between

800…1000 W/m²

Module temperature between

40…45 °C

Values inside median ± 5%

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A study on 100+ power plants in Germany

Data Handling

Filtering of 5-min average values:

Irradiance between

800…1000 W/m²

Module temperature between

40…45 °C

Values inside median ± 5%

Calculation of rate of change

rate in %/year

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A study on 100+ power plants in Germany

Example: a German „1000-Roofs-Programme“ system

5 kWp PV system built in 1993

New monitoring equipment in 2001

outliers excluded

fitted linear slope

Rate of Change: ca. –0.3%/a

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-4.0%

-3.0%

-2.0%

-1.0%

0.0%

1.0%

2.0%

3.0%

4.0%mono/poly

1 2 3 4 5 6 7 8 9 10 11_

rate of change in % per year

years of operation

A study on 100+ power plants in Germany

Results statistics for c-Si

Calculation of a rate of

change per year for each

PV system shows large

scatter

Average c-Si degradation

rates are around –0.25%

per year

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-4.0%

-3.0%

-2.0%

-1.0%

0.0%

1.0%

2.0%

3.0%

4.0% mono/poly

EFG/String Ribbon

A study on 100+ power plants in Germany

Results for alternative silicon wafer technologies

1 2 3 4 5 6 7 8 9 10 11_

rate of change in % per year

years of operation

Average c-Si degradation

rates are around –0.25%

per year

Systems with EFG or

string-ribbon modules

reveal a tendency towards

larger negative rates of

change

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What are the questions?

What is the state-of-the-art performance of a PV power plant?

A review of 20+ years of commercial PV systems in Germany

What about degradation?

A study on 100+ power plants in Germany

What affects system reliability?

Modules / inverters / operation management…

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What affects system reliability?

On average, there

are 5 incidents per

PV power plant and

year

Source:

meteocontrol,

Augsburg,

Germany

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What affects system reliability?

Module reliability

BOS component & installation reliability

Operation management

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What affects system reliability?

Module reliability

“no problem”

BOS component & installation reliability

Commissioning tests

Operation management

Monitoring & intervention concepts

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Commissioning tests

Detailed on-site analysis of the

entire power plant:

Comprehensive visual

inspection

Thermographic imaging

Measurement of actual PV

power and conversion to

Standard Test Conditions

Assessment of Performance

Ratio (PR)

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System Inspection and Testing

Verification of design data (module types, tilt angles, distances)

Screening for large and small anomalies (insufficient foundation,

cell grid faults)

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System Inspection and Testing

Mechanical problems

Faulty mounting of modules

Missing protection leading to cable damage

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Loose connectors

System Inspection and Testing

Mechanical problems

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System Inspection and Testing

Mechanical problems

Combination of connectors from

different manufacturers

Loose cables

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System Inspection and Testing

Mechanical problems

Cable glands on top, moisture in the sub-distribution box

Spare cable glands not sealed, moisture and animals in the box

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Mobile lifting platform used

for infrared camera imaging

Temperature analysis of a

solar module with defective

cells

Temperature analysis of a

large module field

System Inspection and Testing

Infrared imaging

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Detection of defective bypass diodes

System Inspection and Testing

Infrared imaging

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System Inspection and Testing

Infrared imaging

Detection of defective terminals with high transition resistance

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System Inspection and Testing

Infrared imaging

Detection of weak connections on power rails

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Commissioning tests

Detailed on-site analysis of the

entire power plant:

Comprehensive visual

inspection

Thermographic imaging

Measurement of actual PV

power and conversion to

Standard Test Conditions

Assessment of Performance

Ratio (PR)

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What affects system reliability?

Module reliability

“no problem”

BOS component & installation reliability

Commissioning tests

Operation management

Monitoring & intervention concepts

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Operation management

Monitoring & intervention

Operation of a state-of-the-art supervisory control and data acquisition

(SCADA) system in each PV power plant

Operation of a dedicated control centre, offering all features needed to

evaluate system operation and to optimize maintenance work flow

Rapid reaction to error messages

Management, performing and documentation of maintenance and repair

On-site visits in regular intervals

Landscape maintenance

Learn more about operation management at this event…

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Conclusions…

PV power plant operation is well understood and reproducible

Today’s systems may reach PR(si) values around 90% in Central Europe

Mono- and polycrystalline silicon systems show small degradation rates, by

default, Fraunhofer ISE assumes –0.25% per year

Long term success starts with a comprehensive system testing

Only professional O&M concepts ensure high performance and yields

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Thank you for your attention!

Fraunhofer Institute for Solar Energy Systems ISE

Dr. Christian Reise

[email protected]

www.ise.fraunhofer.de

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Development of system Performance Ratio in Germany

Comparison prediction vs. real world system operation

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Development of system Performance Ratio in Germany

Comparison prediction vs. real world system operation