SlideShare a Scribd company logo
1 of 17
Download to read offline
PAN Files from IEC 61853-1 Test Data:
Why Using Datasheet I-V Values is a Bad Idea
Last Update: 2018-04-30
Kyumin Lee, PhD
Chief Engineer, CFV Solar Test Laboratory
kyumin.lee@cfvsolar.com
For PV Systems Symposium, May 2018
Table of Contents
1. Introduction
1. IEC 61853-1 Performance Matrix Test
2. 61853-1 with Isothermal Flasher
3. Creating PVsyst 6 PAN Files with PANOpt®
2. Practical Issues
1. Data Scaling: How Good are the PAN Files from Scaled Data?
2. Forcing Datasheet STC Values on the PAN Files
3. Debunking Myths about Datasheets
4. Recommendations for Developers
5. Summary
Creating PAN Files from IEC 61853-1 Test Data2
IEC 61853-1 Performance Matrix Test
• IEC 61853 series of standards aim at annual-energy-yield-
based rating of PV modules, and define the relevant tests.
• IEC 61853-1 specifies I-V
curve acquisition at multiple
temperature and irradiance
points, capturing majority
of field operating conditions:
• At least 3 samples are tested.
Creating PAN Files from IEC 61853-1 Test Data3
T [°C] Irradiance [W/m2]
15 100, 200, 400, 600, 800, 1000
25 100, 200, 400, 600, 800, 1000, 1100
50 400, 600, 800, 1000, 1100
75 600, 800, 1000, 1100
• CFV uses a Class A+A+A+ flasher with integrated thermal
chamber to obtain accurate 61853-1 data.
• The “isothermal” method is
the state of the art for 61853-1
measurements.
• Measurements are made when
4 temperatures sensors are within
±0.5°C of the setpoint.
61853-1 with Isothermal Flasher
Creating PAN Files from IEC 61853-1 Test Data4
Mono-PERC 72-Cell 355 W
• PANOpt®, CFV’s in-house-developed software, analyzes the
test data to generate optimized PAN files for PVsyst 6.
Creating PAN Files with PANOpt®
Creating PAN Files from IEC 61853-1 Test Data5
STC I-V, muIsc,
muPmp, Rs
Simulate
61853-1 Matrix
with PVsyst 6 model
RMSE Lower
than Threshold
and Stable?
Vary Rs, Rsh,
RshG0, muPmp,
muGamma or
di²/μτeff*
Calculate
RMS Error of Pmp
over 61853-1
Matrix5.3
PAN File with
Optimum
Coefficients
No
* Depends on the
technology type
Yes
Practical Issues
1. Creating PAN files for higher power classes
• Per customer request, we create PAN files for up to 2 power classes
(+10 W) above the tested class. This is a standard practice in the US.
• We scale 61853-1 Pmp values with a gain factor that gives the target
power rating at STC. Scaled values are then used for PANOpt®.
• Is data scaling justifiable? Will it overestimate the yield gains for
higher power class if the higher power is achieved with lower Rser?
2. Whether or not to use datasheet STC values
• By default, we use measured STC Isc, Voc, Imp, Vmp values when
creating PAN files, instead of using the datasheet values.
• Some customers push back and request that we use datasheet values
instead, on grounds that project developers want to see datasheet
values in PAN files.
• What is the effect of using datasheet STC values instead of the
measured values?
Creating PAN Files from IEC 61853-1 Test Data6
Data Scaling: Worst-Case Example - 1
• A realistic worst-case example is when a manufacturer
increases the number of BBs without changing model name:
• Based on 61853-1 data on 285W 60-cell mono-PERC modules with a
3BB design, a PAN file for 295W power class was prepared.
• The manufacturer then combined 5BB design, larger wafer, and
process improvements to actually produce 295W mono-PERC.
• Developers had done estimations with 295W PAN file scaled from
285W-3BB, but 5BB modules will be delivered.
• How different is the scaled 295W PAN file from the actual
295W product in terms of performance and annual yield?
Creating PAN Files from IEC 61853-1 Test Data7
295W PAN File from
Scaled 285W-3BB Data
Characteristics of
295W-5BB Product
Rser = 0.310 Ω, muPmp = -0.41%/°C Rser = 0.260 Ω, muPmp = -0.39%/°C
Isc = 9.627 A, Voc = 40.04 V,
Imp = 9.059 A, Vmp = 32.56 V
Isc = 9.563 A, Voc = 39.76 V,
Imp = 9.009 A, Vmp = 32.74 V
Data Scaling: Worst-Case Example - 2
• 15°C and 25°C
curves show
difference at
low irradiance.
• 50°C curves almost
overlap. Lower Rser
leads to lower
muPmp, offsetting
the low-irradiance loss.
• PVsyst simulation of 100 kW system in Albuquerque:
• This was a hypothetical case, but we have a real example.
Creating PAN Files from IEC 61853-1 Test Data8
295W PAN File Scaled from 285W-3BB EArray = 222.3 MWh
295W-5BB EArray = 222.0 MWh (0.13% difference)
15°C
25°C
50°C
75°C
Data Scaling: Real Case
• We had done PAN file
testing on two
mono-PERC
products from one
manufacturer:
285W with 3BB, and
295W with 4BB.
• 295W curves scaled
from 285W-3BB
nearly overlapped with measured 295W-4BB curves.
• PVsyst yields were identical.
Creating PAN Files from IEC 61853-1 Test Data9
295W from Scaled 285W-3BB Data EArray = 222.0 MWh
295W from 295W-4BB Data EArray = 222.1 MWh (0.03% difference)
15°C
25°C
50°C
75°C
Data Scaling: Main Findings
• While it is theoretically possible to overestimate the yield of
a higher power class module by using scaled data from a
lower power class, in practice this does not happen.
• For the mainstream Si module design, major Rser
improvements that do not require new model names come
from using more busbars (3BB → 4BB or 5BB).
• Increasing the number of BBs lowers Rser, but not enough to
move up 2 power classes (+10 W). Other changes such as
larger wafer or cell process improvements are needed, whose
effects are uniform across the irradiance range.
• Rser lowering via more BBs also lowers muPmp, which offsets
the lower low-irradiance response.
• Drastic changes such as half cell or shingle require new model
name, and so we would not do data scaling for such cases.
Creating PAN Files from IEC 61853-1 Test Data10
Datasheet STC Values vs Measured - 1
• Shown below are STC I-V measurements at CFV on Si modules
over last 2 years, as ratios of the datasheet values.
All modules received > 5 kWh/m2 of light.
• The distributions look reasonable. If we just focus on
modules in 99-101% Pmp range, we should get tighter
distributions, right?
Creating PAN Files from IEC 61853-1 Test Data11
Datasheet STC Values vs Measured - 2
• Not really. Even for samples in 99-101% Pmp range, measured
Isc, Voc, Imp, and Vmp can be quite different from datasheet.
• Example: a 72-cell mc-Si 315Wp module type
• Three samples had STC Pmp
measured at 100.5% of rated value.
• Isc, Voc, Imp, and Vmp were significantly
different from the datasheet values.
Creating PAN Files from IEC 61853-1 Test Data12
97%
98%
99%
100%
101%
102%
Pmp
Isc
VocImp
Vmp
3 Samples
Isc Voc Imp Vmp
101.6% 100.1% 98.9% 101.6%
Datasheet STC Values: Effect on Yield?
• When strongly requested by the customer, we prepare PAN
files with the datasheet STC values, with only Isc and Imp
scaled to get the rated power, if necessary.
• Single-diode model is surprisingly flexible. We can usually
find Rser, Rsh, and muPmp values that give us small RMS
error of Pmp over the 61853-1 matrix. This “best-effort-with-
datasheet-values” PAN file also gives nearly identical yield as
the PAN file using the measured STC values.
• Simulation of 120 kWDC / 100 kWAC system in Albuquerque,
using PAN files for the 315 W module from previous slide:
Creating PAN Files from IEC 61853-1 Test Data13
Best Effort PAN File wit Datasheet
Values
EArray = 241.5 MWh
PAN File with Measured Values EArray = 241.4 MWh
Datasheet STC Values: Hidden Errors
• Not so apparent are the hidden errors in
array voltage and current calculations.
• Forcing datasheet values will result in
consistent errors in array DC voltage
and current calculations.
• STC values measured with a Class A+A+A+
flasher in an ISO 17025-accredited test lab
are always better estimates of the module
population than the datasheet values.
• There are some “myths” in the industry about the authority
of the datasheet values that need to be debunked.
Creating PAN Files from IEC 61853-1 Test Data14
97%
98%
99%
100%
101%
102%
Pmp
Isc
VocImp
Vmp
Debunking Myths about Datasheets
1. “Datasheet STC values are production averages.”
False.
Datasheet STC values are prepared for certification, before
any attempt at mass production. Datasheet STC values
seldom get updated after production starts!
2. “Datasheet STC values are checked during certification.”
Mostly False.
Certifiers check if STC measurements are within ±5% only.
Also, test data on one power class is used to certify higher
classes (up to +10%).
3. “Datasheet STC values are target specifications.”
False.
Manufacturers care about Pmp, as it is the warrantied item.
Only a very few care about the accuracy of other values.
Creating PAN Files from IEC 61853-1 Test Data15
Recommendations for Developers
• Don’t just ask for PAN files. Get the reports too.
• Good labs (like CFV!) explain in the report detail how the PAN files
were prepared. Measurement data are also included.
• Reading the report will give you a better understanding of the risk in
using a particular PAN file.
• If you see a PAN file report without measurement data, raise a flag.
Complain to manufacturer, test lab, and/or lab accreditation body.
• Budget for some due-diligence testing.
• Most of the performance testing originates from the supplier side
(module manufacturers).
• There should be more customer-side testing taking place. There are
lot-to-lot, factory-to-factory variations in Pmp distribution.
• Be comfortable using measured STC values instead of the
datasheet values. There’s really no good reason to use the
datasheet STC values.
Creating PAN Files from IEC 61853-1 Test Data16
Summary
• IEC 61853-1 testing has been standardized, but the process of
making PAN files is not.
• US-based labs have developed a practice of using scaled data
to provide PAN files for higher (not-yet-available) power
classes. Despite criticism, scaled PAN files for ±10 W power
classes are surprisingly accurate for the mainstream Si design.
• Since 2017, CFV marks PAN files made from a different power class by
putting in “Scaled from 000W” in the Data Source field. Those made
from the data on matching power class are marked “Tested Class”.
• Datasheet STC values (Isc, Voc, Imp, Vmp) are often given too
much weight by developers, considering how little attention
is actually given by manufacturers and certification bodies.
• Measured STC values should be used whenever available, to
not reduce errors in voltage and current calculations.
Creating PAN Files from IEC 61853-1 Test Data17

More Related Content

What's hot

Dimensionnement et commande d’un hacheur parallèle.pptx
Dimensionnement et commande d’un hacheur parallèle.pptxDimensionnement et commande d’un hacheur parallèle.pptx
Dimensionnement et commande d’un hacheur parallèle.pptxTriangledz Jamel
 
Grid-connected PV system
Grid-connected PV systemGrid-connected PV system
Grid-connected PV systemRamesh Adhikari
 
Solar photovoltaics
Solar photovoltaicsSolar photovoltaics
Solar photovoltaicsArvind Kumar
 
SOLAR WATER PUMP COMPONENTS
SOLAR WATER PUMP COMPONENTSSOLAR WATER PUMP COMPONENTS
SOLAR WATER PUMP COMPONENTSshivam singh
 
A Report on solar power plant installation
A Report on solar power plant installationA Report on solar power plant installation
A Report on solar power plant installationAmitesh Kumar
 
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...Gensol Engineering Limited
 
Pumped storage hydro power plant
Pumped storage hydro power plantPumped storage hydro power plant
Pumped storage hydro power plantCraZzy Shubh
 
Solar PV Codes and Standards
Solar PV Codes and StandardsSolar PV Codes and Standards
Solar PV Codes and StandardsSolar Reference
 
Design off grid solar PV system
Design off grid solar PV systemDesign off grid solar PV system
Design off grid solar PV systemRajesh Pindoriya
 
Energy storage systems ESS ppt
Energy storage systems ESS ppt Energy storage systems ESS ppt
Energy storage systems ESS ppt Statcon Energiaa
 
Solar cell ppt....uv
Solar cell ppt....uvSolar cell ppt....uv
Solar cell ppt....uvYuvraj Singh
 
4. Generator Step Up Transformer
4. Generator Step Up Transformer4. Generator Step Up Transformer
4. Generator Step Up TransformerChinedu Isiadinso
 
Tidal energy- A Renewable Energy Resources
Tidal energy- A Renewable Energy ResourcesTidal energy- A Renewable Energy Resources
Tidal energy- A Renewable Energy Resourcesdhangarpushpendrapal
 
Ppt ines f
Ppt ines fPpt ines f
Ppt ines fInès IG
 
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...rahulmonikasharma
 

What's hot (20)

Solar pv
Solar pvSolar pv
Solar pv
 
Dimensionnement et commande d’un hacheur parallèle.pptx
Dimensionnement et commande d’un hacheur parallèle.pptxDimensionnement et commande d’un hacheur parallèle.pptx
Dimensionnement et commande d’un hacheur parallèle.pptx
 
Grid-connected PV system
Grid-connected PV systemGrid-connected PV system
Grid-connected PV system
 
Solar photovoltaics
Solar photovoltaicsSolar photovoltaics
Solar photovoltaics
 
SOLAR WATER PUMP COMPONENTS
SOLAR WATER PUMP COMPONENTSSOLAR WATER PUMP COMPONENTS
SOLAR WATER PUMP COMPONENTS
 
A Report on solar power plant installation
A Report on solar power plant installationA Report on solar power plant installation
A Report on solar power plant installation
 
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...
Quality Inspection for Solar Modules - Raw Material, Manufacturing & Lab Test...
 
Energy Efficient Lighting
Energy Efficient LightingEnergy Efficient Lighting
Energy Efficient Lighting
 
Pumped storage hydro power plant
Pumped storage hydro power plantPumped storage hydro power plant
Pumped storage hydro power plant
 
Designing Solar PV Systems (Rooftops)
Designing Solar PV Systems(Rooftops)Designing Solar PV Systems(Rooftops)
Designing Solar PV Systems (Rooftops)
 
Solar PV Codes and Standards
Solar PV Codes and StandardsSolar PV Codes and Standards
Solar PV Codes and Standards
 
Design off grid solar PV system
Design off grid solar PV systemDesign off grid solar PV system
Design off grid solar PV system
 
Energy storage systems ESS ppt
Energy storage systems ESS ppt Energy storage systems ESS ppt
Energy storage systems ESS ppt
 
Solar cell ppt....uv
Solar cell ppt....uvSolar cell ppt....uv
Solar cell ppt....uv
 
Basics of Solar PV O&M - Solarig Gensol
Basics of Solar PV O&M - Solarig GensolBasics of Solar PV O&M - Solarig Gensol
Basics of Solar PV O&M - Solarig Gensol
 
4. Generator Step Up Transformer
4. Generator Step Up Transformer4. Generator Step Up Transformer
4. Generator Step Up Transformer
 
Solar cell
Solar cellSolar cell
Solar cell
 
Tidal energy- A Renewable Energy Resources
Tidal energy- A Renewable Energy ResourcesTidal energy- A Renewable Energy Resources
Tidal energy- A Renewable Energy Resources
 
Ppt ines f
Ppt ines fPpt ines f
Ppt ines f
 
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...
Performance Improvement of Solar PV Cells using Various Cooling Methods: A Re...
 

Similar to PAN Files from IEC 61853-1 Test Data: Why Using Datasheet I-V Values is a Bad Idea

PV Module Characterization Methods at CFV Solar Test Laboratory
PV Module Characterization Methods at CFV Solar Test LaboratoryPV Module Characterization Methods at CFV Solar Test Laboratory
PV Module Characterization Methods at CFV Solar Test LaboratoryCFVSolar
 
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...Behzad Salami
 
A Cyber Physical Approach to a Combined Hardware-Software
A Cyber Physical Approach to a Combined Hardware-Software A Cyber Physical Approach to a Combined Hardware-Software
A Cyber Physical Approach to a Combined Hardware-Software GreenLSI Team, LSI, UPM
 
Performance Optimization of HPC Applications: From Hardware to Source Code
Performance Optimization of HPC Applications: From Hardware to Source CodePerformance Optimization of HPC Applications: From Hardware to Source Code
Performance Optimization of HPC Applications: From Hardware to Source CodeFisnik Kraja
 
COHEAT @ BEIS May 2017
COHEAT @ BEIS May 2017COHEAT @ BEIS May 2017
COHEAT @ BEIS May 2017Marko Cosic
 
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...Leonardo ENERGY
 
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...Arun Joseph
 
Results of DigitArc Electrode Regulator and SmartArc power input optimization...
Results of DigitArc Electrode Regulator and SmartArc power input optimization...Results of DigitArc Electrode Regulator and SmartArc power input optimization...
Results of DigitArc Electrode Regulator and SmartArc power input optimization...AMI GE International
 
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...Behzad Salami
 
quality control STUDY ON 3 POLE MCCB MBA SIP report
quality control STUDY ON 3 POLE MCCB MBA SIP report quality control STUDY ON 3 POLE MCCB MBA SIP report
quality control STUDY ON 3 POLE MCCB MBA SIP report Akshay Nair
 
Cpk guide 0211_tech1
Cpk guide 0211_tech1Cpk guide 0211_tech1
Cpk guide 0211_tech1Piyush Bose
 
Iaetsd power capture safe test pattern determination
Iaetsd power capture safe test pattern determinationIaetsd power capture safe test pattern determination
Iaetsd power capture safe test pattern determinationIaetsd Iaetsd
 
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...IRJET Journal
 

Similar to PAN Files from IEC 61853-1 Test Data: Why Using Datasheet I-V Values is a Bad Idea (20)

PV Module Characterization Methods at CFV Solar Test Laboratory
PV Module Characterization Methods at CFV Solar Test LaboratoryPV Module Characterization Methods at CFV Solar Test Laboratory
PV Module Characterization Methods at CFV Solar Test Laboratory
 
2014 PV Performance Modeling Workshop: PV Module Characterization Methods at ...
2014 PV Performance Modeling Workshop: PV Module Characterization Methods at ...2014 PV Performance Modeling Workshop: PV Module Characterization Methods at ...
2014 PV Performance Modeling Workshop: PV Module Characterization Methods at ...
 
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
 
53 aron p_dobos_recent_and_planned_improvements_to_the_system_advisor_model_sam
53 aron p_dobos_recent_and_planned_improvements_to_the_system_advisor_model_sam53 aron p_dobos_recent_and_planned_improvements_to_the_system_advisor_model_sam
53 aron p_dobos_recent_and_planned_improvements_to_the_system_advisor_model_sam
 
2014 PV Performance Modeling Workshop: Toward Reliable Module Temperature Mea...
2014 PV Performance Modeling Workshop: Toward Reliable Module Temperature Mea...2014 PV Performance Modeling Workshop: Toward Reliable Module Temperature Mea...
2014 PV Performance Modeling Workshop: Toward Reliable Module Temperature Mea...
 
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...
ISCA2021 Tutorial-Methods for Characterization and Analysis of Voltage Margin...
 
A Cyber Physical Approach to a Combined Hardware-Software
A Cyber Physical Approach to a Combined Hardware-Software A Cyber Physical Approach to a Combined Hardware-Software
A Cyber Physical Approach to a Combined Hardware-Software
 
12 wittmer p_vsyst_pvpmc_7
12 wittmer p_vsyst_pvpmc_712 wittmer p_vsyst_pvpmc_7
12 wittmer p_vsyst_pvpmc_7
 
3B_lab.pdf
3B_lab.pdf3B_lab.pdf
3B_lab.pdf
 
Performance Optimization of HPC Applications: From Hardware to Source Code
Performance Optimization of HPC Applications: From Hardware to Source CodePerformance Optimization of HPC Applications: From Hardware to Source Code
Performance Optimization of HPC Applications: From Hardware to Source Code
 
ABB Training Manual.pdf
ABB Training Manual.pdfABB Training Manual.pdf
ABB Training Manual.pdf
 
COHEAT @ BEIS May 2017
COHEAT @ BEIS May 2017COHEAT @ BEIS May 2017
COHEAT @ BEIS May 2017
 
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...
Photovoltaic Module Energy Yield Measurements: Existing Approaches and Best P...
 
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...
A Hybrid Approach to Standard Cell Power Characterization based on PVT Indepe...
 
Results of DigitArc Electrode Regulator and SmartArc power input optimization...
Results of DigitArc Electrode Regulator and SmartArc power input optimization...Results of DigitArc Electrode Regulator and SmartArc power input optimization...
Results of DigitArc Electrode Regulator and SmartArc power input optimization...
 
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...
Understanding the Reliability and Power-Efficiency Trade-offs of Modern FPGAs...
 
quality control STUDY ON 3 POLE MCCB MBA SIP report
quality control STUDY ON 3 POLE MCCB MBA SIP report quality control STUDY ON 3 POLE MCCB MBA SIP report
quality control STUDY ON 3 POLE MCCB MBA SIP report
 
Cpk guide 0211_tech1
Cpk guide 0211_tech1Cpk guide 0211_tech1
Cpk guide 0211_tech1
 
Iaetsd power capture safe test pattern determination
Iaetsd power capture safe test pattern determinationIaetsd power capture safe test pattern determination
Iaetsd power capture safe test pattern determination
 
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...
IRJET- Reduction of Power, Leakage and Area of a Standard Cell Asics using Th...
 

Recently uploaded

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 

Recently uploaded (20)

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 

PAN Files from IEC 61853-1 Test Data: Why Using Datasheet I-V Values is a Bad Idea

  • 1. PAN Files from IEC 61853-1 Test Data: Why Using Datasheet I-V Values is a Bad Idea Last Update: 2018-04-30 Kyumin Lee, PhD Chief Engineer, CFV Solar Test Laboratory kyumin.lee@cfvsolar.com For PV Systems Symposium, May 2018
  • 2. Table of Contents 1. Introduction 1. IEC 61853-1 Performance Matrix Test 2. 61853-1 with Isothermal Flasher 3. Creating PVsyst 6 PAN Files with PANOpt® 2. Practical Issues 1. Data Scaling: How Good are the PAN Files from Scaled Data? 2. Forcing Datasheet STC Values on the PAN Files 3. Debunking Myths about Datasheets 4. Recommendations for Developers 5. Summary Creating PAN Files from IEC 61853-1 Test Data2
  • 3. IEC 61853-1 Performance Matrix Test • IEC 61853 series of standards aim at annual-energy-yield- based rating of PV modules, and define the relevant tests. • IEC 61853-1 specifies I-V curve acquisition at multiple temperature and irradiance points, capturing majority of field operating conditions: • At least 3 samples are tested. Creating PAN Files from IEC 61853-1 Test Data3 T [°C] Irradiance [W/m2] 15 100, 200, 400, 600, 800, 1000 25 100, 200, 400, 600, 800, 1000, 1100 50 400, 600, 800, 1000, 1100 75 600, 800, 1000, 1100
  • 4. • CFV uses a Class A+A+A+ flasher with integrated thermal chamber to obtain accurate 61853-1 data. • The “isothermal” method is the state of the art for 61853-1 measurements. • Measurements are made when 4 temperatures sensors are within ±0.5°C of the setpoint. 61853-1 with Isothermal Flasher Creating PAN Files from IEC 61853-1 Test Data4 Mono-PERC 72-Cell 355 W
  • 5. • PANOpt®, CFV’s in-house-developed software, analyzes the test data to generate optimized PAN files for PVsyst 6. Creating PAN Files with PANOpt® Creating PAN Files from IEC 61853-1 Test Data5 STC I-V, muIsc, muPmp, Rs Simulate 61853-1 Matrix with PVsyst 6 model RMSE Lower than Threshold and Stable? Vary Rs, Rsh, RshG0, muPmp, muGamma or di²/μτeff* Calculate RMS Error of Pmp over 61853-1 Matrix5.3 PAN File with Optimum Coefficients No * Depends on the technology type Yes
  • 6. Practical Issues 1. Creating PAN files for higher power classes • Per customer request, we create PAN files for up to 2 power classes (+10 W) above the tested class. This is a standard practice in the US. • We scale 61853-1 Pmp values with a gain factor that gives the target power rating at STC. Scaled values are then used for PANOpt®. • Is data scaling justifiable? Will it overestimate the yield gains for higher power class if the higher power is achieved with lower Rser? 2. Whether or not to use datasheet STC values • By default, we use measured STC Isc, Voc, Imp, Vmp values when creating PAN files, instead of using the datasheet values. • Some customers push back and request that we use datasheet values instead, on grounds that project developers want to see datasheet values in PAN files. • What is the effect of using datasheet STC values instead of the measured values? Creating PAN Files from IEC 61853-1 Test Data6
  • 7. Data Scaling: Worst-Case Example - 1 • A realistic worst-case example is when a manufacturer increases the number of BBs without changing model name: • Based on 61853-1 data on 285W 60-cell mono-PERC modules with a 3BB design, a PAN file for 295W power class was prepared. • The manufacturer then combined 5BB design, larger wafer, and process improvements to actually produce 295W mono-PERC. • Developers had done estimations with 295W PAN file scaled from 285W-3BB, but 5BB modules will be delivered. • How different is the scaled 295W PAN file from the actual 295W product in terms of performance and annual yield? Creating PAN Files from IEC 61853-1 Test Data7 295W PAN File from Scaled 285W-3BB Data Characteristics of 295W-5BB Product Rser = 0.310 Ω, muPmp = -0.41%/°C Rser = 0.260 Ω, muPmp = -0.39%/°C Isc = 9.627 A, Voc = 40.04 V, Imp = 9.059 A, Vmp = 32.56 V Isc = 9.563 A, Voc = 39.76 V, Imp = 9.009 A, Vmp = 32.74 V
  • 8. Data Scaling: Worst-Case Example - 2 • 15°C and 25°C curves show difference at low irradiance. • 50°C curves almost overlap. Lower Rser leads to lower muPmp, offsetting the low-irradiance loss. • PVsyst simulation of 100 kW system in Albuquerque: • This was a hypothetical case, but we have a real example. Creating PAN Files from IEC 61853-1 Test Data8 295W PAN File Scaled from 285W-3BB EArray = 222.3 MWh 295W-5BB EArray = 222.0 MWh (0.13% difference) 15°C 25°C 50°C 75°C
  • 9. Data Scaling: Real Case • We had done PAN file testing on two mono-PERC products from one manufacturer: 285W with 3BB, and 295W with 4BB. • 295W curves scaled from 285W-3BB nearly overlapped with measured 295W-4BB curves. • PVsyst yields were identical. Creating PAN Files from IEC 61853-1 Test Data9 295W from Scaled 285W-3BB Data EArray = 222.0 MWh 295W from 295W-4BB Data EArray = 222.1 MWh (0.03% difference) 15°C 25°C 50°C 75°C
  • 10. Data Scaling: Main Findings • While it is theoretically possible to overestimate the yield of a higher power class module by using scaled data from a lower power class, in practice this does not happen. • For the mainstream Si module design, major Rser improvements that do not require new model names come from using more busbars (3BB → 4BB or 5BB). • Increasing the number of BBs lowers Rser, but not enough to move up 2 power classes (+10 W). Other changes such as larger wafer or cell process improvements are needed, whose effects are uniform across the irradiance range. • Rser lowering via more BBs also lowers muPmp, which offsets the lower low-irradiance response. • Drastic changes such as half cell or shingle require new model name, and so we would not do data scaling for such cases. Creating PAN Files from IEC 61853-1 Test Data10
  • 11. Datasheet STC Values vs Measured - 1 • Shown below are STC I-V measurements at CFV on Si modules over last 2 years, as ratios of the datasheet values. All modules received > 5 kWh/m2 of light. • The distributions look reasonable. If we just focus on modules in 99-101% Pmp range, we should get tighter distributions, right? Creating PAN Files from IEC 61853-1 Test Data11
  • 12. Datasheet STC Values vs Measured - 2 • Not really. Even for samples in 99-101% Pmp range, measured Isc, Voc, Imp, and Vmp can be quite different from datasheet. • Example: a 72-cell mc-Si 315Wp module type • Three samples had STC Pmp measured at 100.5% of rated value. • Isc, Voc, Imp, and Vmp were significantly different from the datasheet values. Creating PAN Files from IEC 61853-1 Test Data12 97% 98% 99% 100% 101% 102% Pmp Isc VocImp Vmp 3 Samples Isc Voc Imp Vmp 101.6% 100.1% 98.9% 101.6%
  • 13. Datasheet STC Values: Effect on Yield? • When strongly requested by the customer, we prepare PAN files with the datasheet STC values, with only Isc and Imp scaled to get the rated power, if necessary. • Single-diode model is surprisingly flexible. We can usually find Rser, Rsh, and muPmp values that give us small RMS error of Pmp over the 61853-1 matrix. This “best-effort-with- datasheet-values” PAN file also gives nearly identical yield as the PAN file using the measured STC values. • Simulation of 120 kWDC / 100 kWAC system in Albuquerque, using PAN files for the 315 W module from previous slide: Creating PAN Files from IEC 61853-1 Test Data13 Best Effort PAN File wit Datasheet Values EArray = 241.5 MWh PAN File with Measured Values EArray = 241.4 MWh
  • 14. Datasheet STC Values: Hidden Errors • Not so apparent are the hidden errors in array voltage and current calculations. • Forcing datasheet values will result in consistent errors in array DC voltage and current calculations. • STC values measured with a Class A+A+A+ flasher in an ISO 17025-accredited test lab are always better estimates of the module population than the datasheet values. • There are some “myths” in the industry about the authority of the datasheet values that need to be debunked. Creating PAN Files from IEC 61853-1 Test Data14 97% 98% 99% 100% 101% 102% Pmp Isc VocImp Vmp
  • 15. Debunking Myths about Datasheets 1. “Datasheet STC values are production averages.” False. Datasheet STC values are prepared for certification, before any attempt at mass production. Datasheet STC values seldom get updated after production starts! 2. “Datasheet STC values are checked during certification.” Mostly False. Certifiers check if STC measurements are within ±5% only. Also, test data on one power class is used to certify higher classes (up to +10%). 3. “Datasheet STC values are target specifications.” False. Manufacturers care about Pmp, as it is the warrantied item. Only a very few care about the accuracy of other values. Creating PAN Files from IEC 61853-1 Test Data15
  • 16. Recommendations for Developers • Don’t just ask for PAN files. Get the reports too. • Good labs (like CFV!) explain in the report detail how the PAN files were prepared. Measurement data are also included. • Reading the report will give you a better understanding of the risk in using a particular PAN file. • If you see a PAN file report without measurement data, raise a flag. Complain to manufacturer, test lab, and/or lab accreditation body. • Budget for some due-diligence testing. • Most of the performance testing originates from the supplier side (module manufacturers). • There should be more customer-side testing taking place. There are lot-to-lot, factory-to-factory variations in Pmp distribution. • Be comfortable using measured STC values instead of the datasheet values. There’s really no good reason to use the datasheet STC values. Creating PAN Files from IEC 61853-1 Test Data16
  • 17. Summary • IEC 61853-1 testing has been standardized, but the process of making PAN files is not. • US-based labs have developed a practice of using scaled data to provide PAN files for higher (not-yet-available) power classes. Despite criticism, scaled PAN files for ±10 W power classes are surprisingly accurate for the mainstream Si design. • Since 2017, CFV marks PAN files made from a different power class by putting in “Scaled from 000W” in the Data Source field. Those made from the data on matching power class are marked “Tested Class”. • Datasheet STC values (Isc, Voc, Imp, Vmp) are often given too much weight by developers, considering how little attention is actually given by manufacturers and certification bodies. • Measured STC values should be used whenever available, to not reduce errors in voltage and current calculations. Creating PAN Files from IEC 61853-1 Test Data17