8 seeking synergies - data modeling & aerial inspections rob andrews

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Data Modelling and Aerial Analsyis Seeking Synergies Rob Andrews, PhD CEO, Heliolytics [email protected] Pramod Krishnani, M.S. [IEC TC – 82 PV Expert] Manager, Performance Engineering sPower [email protected]

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Page 1: 8   seeking synergies - data modeling & aerial inspections rob andrews

Data Modelling and Aerial AnalsyisSeeking Synergies

Rob Andrews, PhD

CEO, Heliolytics

[email protected]

Pramod Krishnani, M.S. [IEC TC – 82 PV Expert]

Manager, Performance Engineering sPower

[email protected]

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Presentation goals

• Introduction of Aerial infrared imaging

• Compare Aerial infrared imaging to:

– Data analysis

– Manual inspection techniques

• Recommend optimal DC O&M scopes

• ROI considerations

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• Provides aerial Module Level Thermal Audits (MLTA)

• C&I and Utility scale systems

• Commercial operation October 2015

• >1GW scanned to date

• Proprietary technology to collect and analyze high resolution infrared and visible imagery

• Based in Toronto, ON, operates internationally

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MLTA- Data collection

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Outputs

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Comparison of IR data to Combiner data

• Key Question:

– Can module and string level defects be detected with combiner data alone?

• Approach:

– Generate multiple methodologies for analyzing system data and compare these outputs

to aggregated failures per combiner

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Raw Data

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Spatially Resolved Combiner-level data

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Spatially Resolved Combiner-level data

Absolute performance Relative performance

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Spatially Resolved Combiner-level data

9:15 am 12:15 pm 4:45 pm

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Evaluation Methodologies

• Methodology #1

– Calculate sum of energy produced with the following restrictions:

• Non-clipping

• Within a 1 month window around the scan

• Normalized by Isc of strings attached to combiner

• Methodology #2

– Calculate Normalized DC Performance Index (DCPI) with the following restrictions:

• Non-clipping

• Curtailment data points removed

• Within identified clear sky day

• All data set removed below 200 W/m2 POA Irradiance

• Uncertain DCPI calculation removedDCPI =

𝑰𝒎𝒆𝒂𝒔𝒖𝒓𝒆𝒅𝑮𝑷𝑶𝑨

𝑰𝒏𝒐𝒎𝒊𝒏𝒂𝒍 (𝒂𝒔 𝒑𝒆𝒓 𝒅𝒆𝒔𝒊𝒈𝒏)

𝑮𝑺𝑻𝑪(Courtesy of formula Improvement by Tassos Golnas, PhD)

(1)

(1)

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Spatially resolved performance index

Methodology #1

Performance Index

Methodology #2

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Methodology #1 Results

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Methodology #2 results

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Conclusions from data analysis

There is too much uncertainty in the basic combiner-level data to detect

individual module faults

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Manual Fault detection

• Traditionally, multimeter or I-V checks

at a combiner level are used to detect

faults at a combiner level

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Manual Fault detection results

• Site was inspected using combiner box checks of Voc and Impp

– September 2015- 6 months prior to site inspection

• Hit rate for manual inspection: 22%

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DC measurement campaign goals

• Find Broken modules/Strings

– Partial system checks can leave parts of the system offline for multiple years

– Manual techniques regularly miss DC outages (on the order of 0.5%-0.7% energy loss)

• Detect degredation

– Bulk I-V or other manual techniques have structural limitations to their accuracy

Increasing ‘efficiency’

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Ideal DC measurement campaign

• Periodic MLTA to detect DC availability loss– Yearly scans if tracking an active fault mode, less frequent if site is proven to be low risk

• Regular I-V tracing of specified “golden” strings– Minimum one string per manufacturing batch.

– Initial 3rd party flash test of all modules. I-V immediately after re-install to identify field testing bias.

• Alt: Install “field flash test” persistent I-V tracers

– Annual or bi-annual module level I-V of “golden” string.

• Control for Irradiance level, Angle of Incidence, utilize multiple temperature probes per module

– Periodic re-flash (2-5 year)

• Alt: Periodic re-use of calibrated persistent I-V tracers

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Value add of aerial infrared inspections

Asset Management Performance Engineering

Safety

Financial Management

Detect Module malfunctions

Warranty Implications

Dispatch Control

Site Cleaning

Performance Guarantee Optimization

Model Improvement

Performance model calibration

O&M Contractor Evaluation

Acceptance Testing

Field Optimization

Future Purchase Decisions

Asset Valuation

Evaluate Availability

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ROI of aerial inspections

• Increased site output

– A large cost of remediating DC

issues is in accurately finding

them

– Accurate identification decreases

remediation costs and increases

system availability

• Decreased site labour costs

– NREL/SunSpec cost model

Energy weighted DC unavailability by asset class (800MW sample)

Procedure Cost

I-V, Voc or Current clamp checks

$814/MW

IR camera inspection $852/MW

Module electrical connection test and visual inspection

$278/MW

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Questions?