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PVSYST SA - Route du Bois-de-Bay 107 - 1242 Satigny - Suisse
www.pvsyst.com
Any reproduction or copy of the course support, even partial, is forbidden without a written authorization of the author.
PV Module Modelling in PVsyst, in View of IEC 61853
7th PVPMC Workshop
30-31.3.2017 Canobbio, Switzerland
André Mermoud, Bruno Wittmer
Bruno.Wittmer@pvsyst .com
Page 2Page 2
Overview
• Low light behavior
• Power Classes
• IAM measurements: Indoor vs Outdoor
• PV module operating temperature
• Spectral corrections
• Summary and Outlook
Page 3Page 3
Introduction: Production forecasts, simulation features
Basic parameters: STC specifications (Pnom nameplate)
Only measurement: factory output flash-tests (for sorting modules), uncertainty 3%
Real-life parameters: Module quality, LID, Mismatch, Ageing, …
used as input parameters (i.e. hypothesis) in the simulation
The norm doesn’t describe these parameters.
Simulation: describes the behavior acc. to environmental variables:
Irradiance: Low-light performance data
Temperature: One-diode model (almost linear, measurements)
IAM: Measurements (outdoor or Indoor) of the IAM function
Spectral response: Implemented for amorphous in PVsyst.
Neglected for Crystalline and CIS technologies
Default values for the environmental simulation parameters lead to very similar PR results
(only based on STC) for any module of a same technology.
Page 4Page 4
Model Parameters in PAN File
- File in PVsyst, holding all information on a PV module type.
- Central information are the Model Parameters.
- PVsyst uses the single-diode model with 5 (+3) parameters
- Minimum requirement to determine them, is a measurement at STC.
3 points of
IV curve at STC
(min. req.)
3 points of IV curves at
different irradiances
and temperatures
Temperature
Coefficients
Model Parameters
Iph : Photocurrent
Is : Saturation Current
γ : Ideality factor ( µγ )
Rsh : Shunt resistance (Rsh0, Rshexp)
Rs : Series Resistance
Complete IV curves
for any temperature
and irradiance
Accessory information
Module size
Cell size
Nb. of cells
Nb. of bypass diodes
IAM behavior
Prices
etc…
PAN file
Page 5Page 5
IEC 61853 Irradiance & Temperature Matrix
- STC do not represent normal operating
conditions
- The IEC 61853 Matrix covers well typical
operating conditions
- Not all points of the matrix have the same
weight/importance for real PV installations
- To determine model parameters for the PVsyst
database we use points at 1000 W/m2
(Temperature dependences) and points
at 25°C (Rs / low light behavior)
- It could be useful to use also the points at 50°C
as constraint for the model parameters
Temperature dependence of efficiency
STC
STC
Does not depend on irradiance
=> data from 1000W/m2 is enough
outside normal
operating
conditions
outside normal
operating
conditions
Page 6Page 6
Determining Series and Shunt Resistance
To determine Single diode model parameters the minimal requirement are STC values (Isc, Voc, Vmpp, Impp)
These points fix 3 of the 5 model parameters
Rs/Rsh can be varied within some range and still fit STC values
Rsh default estimation in PVsyst: 𝑅𝑅𝑠𝑠𝑠 = 5 ∙
𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚
𝐼𝐼𝑠𝑠𝑠𝑠−𝐼𝐼𝑚𝑚 𝑚𝑚𝑚𝑚
STC values and Rsh estimation Rs range that fits given STC parameters (Rsh fixed)
Rs = 0 – 310 mΩ
Rs has a strong impact on the low-light behavior!
5 x the inverse slope:
Rsh = 5 * Vmpp/(Isc-Impp)
Page 7Page 7
Series Resistance Rs and Low-Light Behavior
The low light efficiency is strongly influenced by the Series resistance Rs
Large Rs -> No efficiency loss at low irradiance! Small Rs -> Large efficiency loss at low irradiance!
Both Rs values fit the same STC measurement
Rs = 343 mΩ Rs = 100 mΩ
Choosing a deliberately high values for Rs will overestimate the module’s low light performance
Page 8Page 8
Determining Rs from Low-Light Behavior
The low light efficiency is strongly influenced by the Series resistance Rs => Determine Rs from low light measurements
If no measurements are available, we assume 3% of relative efficiency between 1000 W/m2 and 200 W/m2at 25°C
The Irradiance/Temperature matrix in IEC 61853-2 fills this gap
Only STC measurement available:
Default efficiency drop at 200W/m2 is 3%Determining Rs from low light behavior
Recently very good Si-modules (small Rs) have appeared on the market with relative efficiency loss > 3%
=> Should the 3% be adapted to larger values?
-3%
-3%
Page 9Page 9
Parameters for different Power Classes
– PV module performance data for several power classes is often based on measurements of a single
power class.
– There is no standard way to extrapolate from one power class to another.
– Multi-parameter fits to all IEC 61853 Matrix points give very different results if performed on different
power classes of the same module series.
Pnom [W] Rs [W] Rsh [W] Rsh(0) [W] Rshexp [m2/W]
305 0.550 399 1513 12.4
310 0.494 401 1516 12.4
315 0.471 385 1321 8.7
Example of one (non-PVsyst) approach:
1. Measurements are available for one power class (305Wp in the example)
2. Module parameters obtained from global fit on measurements
3. Data points from 305 Wp are extrapolated to 310 and 315 Wp and then the fit is repeated
Model parameters do not seem to follow any pattern.
Extrapolating to yet another power class: need to go through the fit procedure on all rescaled data points.
Page 10Page 10
PVsyst approach for different Power Classes
– PVsyst approach focusses on keeping model parameters stable
– Make it easier to introduce new power classes
– Works also if only STC values are available
Procedure:
1. STC values are known for each power class => Rsh can be estimated
2. Low light behavior of measured power class is known => Rs can be obtained for this class
3. Presently the low-light behavior (efficiency loss at 200 W/m2) is assumed to stay the same => Rs for all other classes
STC values and Rsh estimation
slope/5:
Rsh = Vmpp/(Isc-Impp) * 0.2
Determining Rs from low light behavior
Are there thoughts to standardize any procedure to extrapolate to different power classes?
Measurements of different power classes are a necessity
Page 11Page 11
Incidence Angle Modifier (IAM)
– Outdoor measurements display strong variations.
– Indoor measurements match very well basic Fresnel law calculations.
Outdoor
Measurements
(AR coating)
Indoor
Measurements
(AR coating)
Indoor
Measurements
(no coating)
IAM of large angles
is always hard
to measure
Examples of measurements
received from
different manufacturers
Large Impact
On Energy Yield
Page 12Page 12
IAM Measurement Uncertainties
– Outdoor measurements suffer more from measurement uncertainties.
– Especially the diffuse component introduces additional difficulties
IAM function
Uncertainty in Gpoa
dominates at low angles
Uncertainty in Incidence Angle Θ
dominates at large angles
Uncertainty in Gdni has almost no impact
Geff is obtained from Isc (small measurement uncertainty)
1 + (Geff-Gpoa)/(Gdnicos(Θ))
Uncertainty range
2% uncertainty on Gpoa
0.5° uncertainty on Θ
Incidence Angle Θ
IAMfunctionτ(Θ)
Example based on a simulation
For indoor measurements only Incidence Angle Θ and Short-Circuit current Isc need to be measured.
Incidence Angle Θ can be controlled better in indoor measurements.
Page 13Page 13
IAM Measurements Outdoor vs Indoor
– Outdoor measurements suffer more from measurement uncertainties.
– IAM on diffuse sky and albedo is neglected
– Circumsolar contribution is treated as direct irradiance -> uncertainty in Θ
– For the Module Database in PVsyst, only indoor measurements are now accepted.
1% difference
Page 14Page 14
PV Module operating temperature
– The determination of the temperature coefficients as described in the standard are
slightly different than the PVsyst model.
– PVsyst starts from energy balance, including module efficiency and reflection losses.
– The model in IEC 61853 assumes a constant module efficiency. This can lead to a small
systematic bias in the temperature behavior.
𝑈𝑈𝑐𝑐 + 𝑈𝑈𝑣𝑣 ∙ 𝑣𝑣 ∙ ∆𝑇𝑇 = 𝐺𝐺 ∙ 𝛼𝛼 ∙ (1 − 𝐸𝐸𝐸𝐸𝐸𝐸)PVsyst
𝑈𝑈0 + 𝑈𝑈1 ∙ 𝑣𝑣 ∙ ∆𝑇𝑇 = 𝐺𝐺IEC 61853
𝛼𝛼 : Absorption coefficient (0.9)
𝐸𝐸𝐸𝐸𝐸𝐸(𝑇𝑇, 𝐺𝐺) : Module Efficiency (depends on Temperature and Irradiance)
𝑈𝑈0,1 =
𝑈𝑈𝑐𝑐,𝑣𝑣
𝛼𝛼(1 − 𝐸𝐸𝐸𝐸𝐸𝐸)
𝑈𝑈𝑐𝑐,𝑣𝑣 = 𝑈𝑈0,1 ∙ 𝛼𝛼(1 − 𝐸𝐸𝐸𝐸𝐸𝐸)
∆𝑇𝑇 : Module Temperature – Ambient Temperature
𝐺𝐺 : Irradiance in Plane of Incidence
𝑣𝑣 : Wind Speed
Page 15Page 15
Spectral corrections in PVsyst
Amorphous: Parametrization proposed by CREST, fct (air mass, Kt)
CdTe: Correction proposed by First Solar (from precipitable water contents)
Not yet implemented in PVsyst.
Crystalline and CIS: Neglected in PVsyst
Justification: continuous I/V measurements at sun during one year at Geneva
Measurement in any conditions of irradiance and temperature
Pmpp Difference Model-Measurement:
Crystalline : RMS = 1.0 % of Pnom
CIS: RMS = 0.7 % of Pnom
These differences include:
• measurement errors
• model uncertainties
⇒ The possible spectral correction for Geneva
climate is part of these model uncertainties !!!
Pmax Error, Meas - Model vs GlobP
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
0 200 400 600 800 1000 1200
GlobP [W/m2]
PmaxError(Meas-Mod)[W]
0 < Tmod < 80°C Model
Page 16Page 16
Summary and Outlook
– IEC 61853-2 measurements are very important to specify low-light behavior.
– Extrapolation to different power classes is not covered by standard.
– Outdoor IAM measurements suffer from measurement uncertainties.
For the PVsyst database only indoor measurements are now accepted.
– Module operating temperature coefficients are defined slightly differently in PVsyst and
IEC 61853-2 and need to be converted.
– In PVsyst spectral corrections are only applied for a-Si modules.
Crystalline Si spectral correction seems negligible.
First Solar spectral correction for CdTe will be implemented.
– IEC 61853 part 3&4 Energy ratings calculated for specific climates are the aim of PV
modelling programs. The values from the standard could be mentioned on the final
report for reference only.

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12 wittmer p_vsyst_pvpmc_7

  • 1. PVSYST SA - Route du Bois-de-Bay 107 - 1242 Satigny - Suisse www.pvsyst.com Any reproduction or copy of the course support, even partial, is forbidden without a written authorization of the author. PV Module Modelling in PVsyst, in View of IEC 61853 7th PVPMC Workshop 30-31.3.2017 Canobbio, Switzerland André Mermoud, Bruno Wittmer Bruno.Wittmer@pvsyst .com
  • 2. Page 2Page 2 Overview • Low light behavior • Power Classes • IAM measurements: Indoor vs Outdoor • PV module operating temperature • Spectral corrections • Summary and Outlook
  • 3. Page 3Page 3 Introduction: Production forecasts, simulation features Basic parameters: STC specifications (Pnom nameplate) Only measurement: factory output flash-tests (for sorting modules), uncertainty 3% Real-life parameters: Module quality, LID, Mismatch, Ageing, … used as input parameters (i.e. hypothesis) in the simulation The norm doesn’t describe these parameters. Simulation: describes the behavior acc. to environmental variables: Irradiance: Low-light performance data Temperature: One-diode model (almost linear, measurements) IAM: Measurements (outdoor or Indoor) of the IAM function Spectral response: Implemented for amorphous in PVsyst. Neglected for Crystalline and CIS technologies Default values for the environmental simulation parameters lead to very similar PR results (only based on STC) for any module of a same technology.
  • 4. Page 4Page 4 Model Parameters in PAN File - File in PVsyst, holding all information on a PV module type. - Central information are the Model Parameters. - PVsyst uses the single-diode model with 5 (+3) parameters - Minimum requirement to determine them, is a measurement at STC. 3 points of IV curve at STC (min. req.) 3 points of IV curves at different irradiances and temperatures Temperature Coefficients Model Parameters Iph : Photocurrent Is : Saturation Current γ : Ideality factor ( µγ ) Rsh : Shunt resistance (Rsh0, Rshexp) Rs : Series Resistance Complete IV curves for any temperature and irradiance Accessory information Module size Cell size Nb. of cells Nb. of bypass diodes IAM behavior Prices etc… PAN file
  • 5. Page 5Page 5 IEC 61853 Irradiance & Temperature Matrix - STC do not represent normal operating conditions - The IEC 61853 Matrix covers well typical operating conditions - Not all points of the matrix have the same weight/importance for real PV installations - To determine model parameters for the PVsyst database we use points at 1000 W/m2 (Temperature dependences) and points at 25°C (Rs / low light behavior) - It could be useful to use also the points at 50°C as constraint for the model parameters Temperature dependence of efficiency STC STC Does not depend on irradiance => data from 1000W/m2 is enough outside normal operating conditions outside normal operating conditions
  • 6. Page 6Page 6 Determining Series and Shunt Resistance To determine Single diode model parameters the minimal requirement are STC values (Isc, Voc, Vmpp, Impp) These points fix 3 of the 5 model parameters Rs/Rsh can be varied within some range and still fit STC values Rsh default estimation in PVsyst: 𝑅𝑅𝑠𝑠𝑠 = 5 ∙ 𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚 𝐼𝐼𝑠𝑠𝑠𝑠−𝐼𝐼𝑚𝑚 𝑚𝑚𝑚𝑚 STC values and Rsh estimation Rs range that fits given STC parameters (Rsh fixed) Rs = 0 – 310 mΩ Rs has a strong impact on the low-light behavior! 5 x the inverse slope: Rsh = 5 * Vmpp/(Isc-Impp)
  • 7. Page 7Page 7 Series Resistance Rs and Low-Light Behavior The low light efficiency is strongly influenced by the Series resistance Rs Large Rs -> No efficiency loss at low irradiance! Small Rs -> Large efficiency loss at low irradiance! Both Rs values fit the same STC measurement Rs = 343 mΩ Rs = 100 mΩ Choosing a deliberately high values for Rs will overestimate the module’s low light performance
  • 8. Page 8Page 8 Determining Rs from Low-Light Behavior The low light efficiency is strongly influenced by the Series resistance Rs => Determine Rs from low light measurements If no measurements are available, we assume 3% of relative efficiency between 1000 W/m2 and 200 W/m2at 25°C The Irradiance/Temperature matrix in IEC 61853-2 fills this gap Only STC measurement available: Default efficiency drop at 200W/m2 is 3%Determining Rs from low light behavior Recently very good Si-modules (small Rs) have appeared on the market with relative efficiency loss > 3% => Should the 3% be adapted to larger values? -3% -3%
  • 9. Page 9Page 9 Parameters for different Power Classes – PV module performance data for several power classes is often based on measurements of a single power class. – There is no standard way to extrapolate from one power class to another. – Multi-parameter fits to all IEC 61853 Matrix points give very different results if performed on different power classes of the same module series. Pnom [W] Rs [W] Rsh [W] Rsh(0) [W] Rshexp [m2/W] 305 0.550 399 1513 12.4 310 0.494 401 1516 12.4 315 0.471 385 1321 8.7 Example of one (non-PVsyst) approach: 1. Measurements are available for one power class (305Wp in the example) 2. Module parameters obtained from global fit on measurements 3. Data points from 305 Wp are extrapolated to 310 and 315 Wp and then the fit is repeated Model parameters do not seem to follow any pattern. Extrapolating to yet another power class: need to go through the fit procedure on all rescaled data points.
  • 10. Page 10Page 10 PVsyst approach for different Power Classes – PVsyst approach focusses on keeping model parameters stable – Make it easier to introduce new power classes – Works also if only STC values are available Procedure: 1. STC values are known for each power class => Rsh can be estimated 2. Low light behavior of measured power class is known => Rs can be obtained for this class 3. Presently the low-light behavior (efficiency loss at 200 W/m2) is assumed to stay the same => Rs for all other classes STC values and Rsh estimation slope/5: Rsh = Vmpp/(Isc-Impp) * 0.2 Determining Rs from low light behavior Are there thoughts to standardize any procedure to extrapolate to different power classes? Measurements of different power classes are a necessity
  • 11. Page 11Page 11 Incidence Angle Modifier (IAM) – Outdoor measurements display strong variations. – Indoor measurements match very well basic Fresnel law calculations. Outdoor Measurements (AR coating) Indoor Measurements (AR coating) Indoor Measurements (no coating) IAM of large angles is always hard to measure Examples of measurements received from different manufacturers Large Impact On Energy Yield
  • 12. Page 12Page 12 IAM Measurement Uncertainties – Outdoor measurements suffer more from measurement uncertainties. – Especially the diffuse component introduces additional difficulties IAM function Uncertainty in Gpoa dominates at low angles Uncertainty in Incidence Angle Θ dominates at large angles Uncertainty in Gdni has almost no impact Geff is obtained from Isc (small measurement uncertainty) 1 + (Geff-Gpoa)/(Gdnicos(Θ)) Uncertainty range 2% uncertainty on Gpoa 0.5° uncertainty on Θ Incidence Angle Θ IAMfunctionτ(Θ) Example based on a simulation For indoor measurements only Incidence Angle Θ and Short-Circuit current Isc need to be measured. Incidence Angle Θ can be controlled better in indoor measurements.
  • 13. Page 13Page 13 IAM Measurements Outdoor vs Indoor – Outdoor measurements suffer more from measurement uncertainties. – IAM on diffuse sky and albedo is neglected – Circumsolar contribution is treated as direct irradiance -> uncertainty in Θ – For the Module Database in PVsyst, only indoor measurements are now accepted. 1% difference
  • 14. Page 14Page 14 PV Module operating temperature – The determination of the temperature coefficients as described in the standard are slightly different than the PVsyst model. – PVsyst starts from energy balance, including module efficiency and reflection losses. – The model in IEC 61853 assumes a constant module efficiency. This can lead to a small systematic bias in the temperature behavior. 𝑈𝑈𝑐𝑐 + 𝑈𝑈𝑣𝑣 ∙ 𝑣𝑣 ∙ ∆𝑇𝑇 = 𝐺𝐺 ∙ 𝛼𝛼 ∙ (1 − 𝐸𝐸𝐸𝐸𝐸𝐸)PVsyst 𝑈𝑈0 + 𝑈𝑈1 ∙ 𝑣𝑣 ∙ ∆𝑇𝑇 = 𝐺𝐺IEC 61853 𝛼𝛼 : Absorption coefficient (0.9) 𝐸𝐸𝐸𝐸𝐸𝐸(𝑇𝑇, 𝐺𝐺) : Module Efficiency (depends on Temperature and Irradiance) 𝑈𝑈0,1 = 𝑈𝑈𝑐𝑐,𝑣𝑣 𝛼𝛼(1 − 𝐸𝐸𝐸𝐸𝐸𝐸) 𝑈𝑈𝑐𝑐,𝑣𝑣 = 𝑈𝑈0,1 ∙ 𝛼𝛼(1 − 𝐸𝐸𝐸𝐸𝐸𝐸) ∆𝑇𝑇 : Module Temperature – Ambient Temperature 𝐺𝐺 : Irradiance in Plane of Incidence 𝑣𝑣 : Wind Speed
  • 15. Page 15Page 15 Spectral corrections in PVsyst Amorphous: Parametrization proposed by CREST, fct (air mass, Kt) CdTe: Correction proposed by First Solar (from precipitable water contents) Not yet implemented in PVsyst. Crystalline and CIS: Neglected in PVsyst Justification: continuous I/V measurements at sun during one year at Geneva Measurement in any conditions of irradiance and temperature Pmpp Difference Model-Measurement: Crystalline : RMS = 1.0 % of Pnom CIS: RMS = 0.7 % of Pnom These differences include: • measurement errors • model uncertainties ⇒ The possible spectral correction for Geneva climate is part of these model uncertainties !!! Pmax Error, Meas - Model vs GlobP -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 0 200 400 600 800 1000 1200 GlobP [W/m2] PmaxError(Meas-Mod)[W] 0 < Tmod < 80°C Model
  • 16. Page 16Page 16 Summary and Outlook – IEC 61853-2 measurements are very important to specify low-light behavior. – Extrapolation to different power classes is not covered by standard. – Outdoor IAM measurements suffer from measurement uncertainties. For the PVsyst database only indoor measurements are now accepted. – Module operating temperature coefficients are defined slightly differently in PVsyst and IEC 61853-2 and need to be converted. – In PVsyst spectral corrections are only applied for a-Si modules. Crystalline Si spectral correction seems negligible. First Solar spectral correction for CdTe will be implemented. – IEC 61853 part 3&4 Energy ratings calculated for specific climates are the aim of PV modelling programs. The values from the standard could be mentioned on the final report for reference only.