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Design Optimization using the Latest
Features in HelioScope
October 2016
1
Agenda
1. Latest Features in HelioScope
2. Implications for Design Optimization
3. HelioScope Development Roadmap
2
About Folsom Labs & HelioScope
• Solar-focused software company
• Based in San Francisco, CA
• Flagship product is HelioScope
3
• Cloud-based sales & design software
• Integrates system design and
performance modeling
• Similar math to PVsyst (PAN file
support, irradiance calculations, etc.)
• Used for preliminary layouts, value-
engineering, and bankable energy yield
calculations
• Used on projects of all sizes
(residential, commercial, utility)
• 7,000 Users worldwide
1. Latest Features in HelioScope
4
The Latest Features in HelioScope
Performance Modeling
• Spectral adjustment & weather datasets
• Sub-hourly calculations
Engineering Process
• Team management
• Design profiles
• Permit generator (SLD, site plan)
• Document center
Design Environment
• Stringing for dual-MPPT inverters
• Automatic stringing based on ASHRAE
temperatures
• More robust AC circuit calculations
• 3D mode & improved visualization
• New layout parameters:
– East-West Racking
– Stackable Field Segments
– Frame Spacing
– Module Alignment Options
5
Performance Modeling
• Spectral adjustment & weather datasets
• Sub-hourly calculations
Engineering Process
• Team management
• Design profiles
• Permit generator (SLD, site plan)
• Document center
Design Environment
• Stringing for dual-MPPT inverters
• Automatic stringing based on ASHRAE
temperatures
• More robust AC circuit calculations
• 3D mode & improved visualization
• New layout parameters:
– East-West Racking
– Stackable Field Segments
– Frame Spacing
– Module Alignment Options
6
The Latest Features in HelioScope
Spectral Adjustment
• First Solar Spectral Adjustment (Lee, M. et al, PVSC 2015):
𝑀 ≈ 1.266 − 0.091𝑒1.199 ∙ (𝑝 𝑤𝑎𝑡+0.5)−0.21
𝑀 = spectral shift
𝑝 𝑤𝑎𝑡 = precipitable water
• Default for CdTe modules
• Weather Data - the biggest barrier
– Only 7% of >25k datasets in HelioScope contain 𝑝 𝑤𝑎𝑡
– 𝑝 𝑤𝑎𝑡 calculated from Relative Humidity or Dew Point Temp for 87% of datasets
– Rewrote parsers for all weather data sources
7
Automatic Stringing based on ASHRAE Temperatures
8
3D Mode, Stacking Field Segments, and East-West Racking
9
LiDAR (feature-gated)
10
2. Implications for Design Optimization
11
Less Reliance on Rules of Thumb
Example: Shade Tolerance
• Rule: winter solstice shade
exclusions (10am-2pm) are
needed for shade setbacks
• Advantages:
– Adjusts for location
– Fairly straightforward to
calculate
• Disadvantage:
– not all hours are created equal
12
Less Reliance on Rules of Thumb
13
Heatmap of annual
shade losses for
each module
Shade losses
calculated based on
hourly weather file
and shade patterns
More Optimization, Across More Complex Designs
14
Shade (%)
Power (kW)
Yield (kWh/kWp)
Energy (MWh/year)
96.3
1,684
162
98.3
1,674
165
108.8
1,668
181
122.4
1,647
201
2.7%
10am to
2pm
15% Shade
Threshold
10% Shade
Threshold
5% Shade
Threshold
2.7% 3.2% 4.4%
+27%
-3%
+24%
Performance Modeling using LiDAR
15
Terrain Modeling
Image curtesy of iq.intel.com
Improved Shade
Obstruction Modeling
3. Product Roadmap
16
Product Roadmap
• Expand LiDAR
• Optimization incorporating project financials & customer proposals
• Tracker modeling
• Advanced inverter modeling (current limiting, temperature dependency)
• Sub-module MPPT
• NSRDB and proprietary weather sources
• Spectral adjustment for non-CdTe modules
17
Thank you!
18
Questions and Comments?
Teresa W. Zhang, PhD
teresa.zhang@folsomlabs.com
19
Additional Resources
20
http://www.folsomlabs.com/resources
Voltage Drop
Analysis
Shading
Optimization
Binning
Cost/Benefit String Inverter
Energy Yield
Analysis
Wiring
Optimization
Case Study
Dew point to Relative Humidity to Precipitable Water
21
• Dew Point to Relative Humidity
Meteonorm Global Meteorological
Database, “Handbook part II: Theory,
Version 7.1”, July 2015:
• Relative Humidity to Precipitable
Water
Keogh 2011:

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Design Optimization using the Latest Features in HelioScope

  • 1. Design Optimization using the Latest Features in HelioScope October 2016 1
  • 2. Agenda 1. Latest Features in HelioScope 2. Implications for Design Optimization 3. HelioScope Development Roadmap 2
  • 3. About Folsom Labs & HelioScope • Solar-focused software company • Based in San Francisco, CA • Flagship product is HelioScope 3 • Cloud-based sales & design software • Integrates system design and performance modeling • Similar math to PVsyst (PAN file support, irradiance calculations, etc.) • Used for preliminary layouts, value- engineering, and bankable energy yield calculations • Used on projects of all sizes (residential, commercial, utility) • 7,000 Users worldwide
  • 4. 1. Latest Features in HelioScope 4
  • 5. The Latest Features in HelioScope Performance Modeling • Spectral adjustment & weather datasets • Sub-hourly calculations Engineering Process • Team management • Design profiles • Permit generator (SLD, site plan) • Document center Design Environment • Stringing for dual-MPPT inverters • Automatic stringing based on ASHRAE temperatures • More robust AC circuit calculations • 3D mode & improved visualization • New layout parameters: – East-West Racking – Stackable Field Segments – Frame Spacing – Module Alignment Options 5
  • 6. Performance Modeling • Spectral adjustment & weather datasets • Sub-hourly calculations Engineering Process • Team management • Design profiles • Permit generator (SLD, site plan) • Document center Design Environment • Stringing for dual-MPPT inverters • Automatic stringing based on ASHRAE temperatures • More robust AC circuit calculations • 3D mode & improved visualization • New layout parameters: – East-West Racking – Stackable Field Segments – Frame Spacing – Module Alignment Options 6 The Latest Features in HelioScope
  • 7. Spectral Adjustment • First Solar Spectral Adjustment (Lee, M. et al, PVSC 2015): 𝑀 ≈ 1.266 − 0.091𝑒1.199 ∙ (𝑝 𝑤𝑎𝑡+0.5)−0.21 𝑀 = spectral shift 𝑝 𝑤𝑎𝑡 = precipitable water • Default for CdTe modules • Weather Data - the biggest barrier – Only 7% of >25k datasets in HelioScope contain 𝑝 𝑤𝑎𝑡 – 𝑝 𝑤𝑎𝑡 calculated from Relative Humidity or Dew Point Temp for 87% of datasets – Rewrote parsers for all weather data sources 7
  • 8. Automatic Stringing based on ASHRAE Temperatures 8
  • 9. 3D Mode, Stacking Field Segments, and East-West Racking 9
  • 11. 2. Implications for Design Optimization 11
  • 12. Less Reliance on Rules of Thumb Example: Shade Tolerance • Rule: winter solstice shade exclusions (10am-2pm) are needed for shade setbacks • Advantages: – Adjusts for location – Fairly straightforward to calculate • Disadvantage: – not all hours are created equal 12
  • 13. Less Reliance on Rules of Thumb 13 Heatmap of annual shade losses for each module Shade losses calculated based on hourly weather file and shade patterns
  • 14. More Optimization, Across More Complex Designs 14 Shade (%) Power (kW) Yield (kWh/kWp) Energy (MWh/year) 96.3 1,684 162 98.3 1,674 165 108.8 1,668 181 122.4 1,647 201 2.7% 10am to 2pm 15% Shade Threshold 10% Shade Threshold 5% Shade Threshold 2.7% 3.2% 4.4% +27% -3% +24%
  • 15. Performance Modeling using LiDAR 15 Terrain Modeling Image curtesy of iq.intel.com Improved Shade Obstruction Modeling
  • 17. Product Roadmap • Expand LiDAR • Optimization incorporating project financials & customer proposals • Tracker modeling • Advanced inverter modeling (current limiting, temperature dependency) • Sub-module MPPT • NSRDB and proprietary weather sources • Spectral adjustment for non-CdTe modules 17
  • 19. Questions and Comments? Teresa W. Zhang, PhD teresa.zhang@folsomlabs.com 19
  • 21. Dew point to Relative Humidity to Precipitable Water 21 • Dew Point to Relative Humidity Meteonorm Global Meteorological Database, “Handbook part II: Theory, Version 7.1”, July 2015: • Relative Humidity to Precipitable Water Keogh 2011: