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Rapid Hydropower Assessment ModelIdentifying Hydroelectric Sites Using GISRyan Taylor, GISP Nan Dai, P.Eng
July 25, 2012
2Outline
• About Kerr Wood Leidal and BC Hydro• What is RHAM• Application of RHAM• Model Development• Storage Analysis • RHAM Online
July 25, 2012
3About Kerr Wood Leidal
• Engineering consulting company located in Vancouver, BC• Employee owned (130 full-time employees)• ESRI users since 1998 (ArcView 3.2)• Now run ArcGIS Desktop & ArcGIS Server 10.1• Over 35 staff use ArcMap weekly or daily
July 25, 2012
4About BC Hydro
• A provincial crown corporation and Canada’s third-largest electric utility headquartered in Vancouver, BC
• Reports to the BC Ministry of Energy and Mines, and is regulated by the British Columbia Utilities Commission
July 25, 2012
5About BC Hydro
• Has approximately 1.8 million customers and serves 95 per cent of B.C.’s population by delivering electricity safely and reliably at competitive rates
• Operates 31 hydroelectric facilities and three natural gas-fired thermal generating plants totaling 12,000 megawatts (MW) of installed generating capacity
July 25, 2012
6Rapid Hydropower Assessment Model
• Created to identify new clean energy sources• Determines potential for small hydro projects• Works anywhere in the world (where data is available)• 2008 Consulting Engineers of BC Award of Merit• 2009 GeoTec Conference & Exhibition Map Gallery Competition
Winner
July 25, 2012
7Typical Small Hydro Project
Powerhouse
Penstock
Intake Weir
July 25, 2012
8Application of RHAM
• RHAM projects to date:• British Columbia
• Yukon
• Mexico
• Southeast Asia
• Can be used on large areas (e.g. BC) or small scale (watershed-level)
July 25, 2012
9RHAM Operations
Hydro Assessment•Calculates in‐stream power
Optimization•Identifies “best” locations
Cost Estimate•Determine capital and operating costs
Economic Analysis•Estimate annual production and cost of energy
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10Stream Power
Power = γw Q H η– γw unit weight of water– Q (flow) from regional hydrologic model
– H (head) from digital elevation model
– η efficiency
Flow
Head
Power
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11Optimization
How to find this…
…using this
…for the least $
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12Cost Estimating
• Site-Based Costs• Intake• Penstock• Powerhouse• Electrical Generating Equipment
• Access Costs• Road• Powerline
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13Cost-Distance Modelling
• Roads and Powerlines• Terrain Model to Cost Surface (DEMS, etc.)• Generate Pathways for Roads, Powerlines, etc.
$10mil
$0mil
July 25, 2012
14Model Development
2007: Created RHAM using ModelBuilder with Spatial Analyst tools
2008: Added storage analysis
2009: Converted RHAM to Python,
performance improvements
2010: Web‐enabled output
2011: Additional
performance enhancements
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15RHAM Model History (v.1)
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16RHAM Model History (v.2)
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17RHAM Model History (v.3)
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18RHAM Model History (v.4) (Current)
94 lines of Python code
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19Storage
• Increases Dependable Capacity• Increases Energy Delivered when Needed by Customers• Increases Energy Production• Increases Flow for Aquatic Habitat• Reduces Downstream Flood Risks
July 25, 2012
20Storage Analysis in RHAM
Inputs• Use RHAM Run-of-River
Output as Input• Select Dam Heights (user
defined)
Intake11 m³/s
RHAM Run‐of‐River Output
July 25, 2012
21Storage Analysis in RHAM
Process• Dam Height• Dam Length• Max Water Elevation
40m Height540m Crest Length
Max Water 1070m Elev.
40m Height380m Crest Length
Max Water 950m Elev.
July 25, 2012
22Storage Analysis in RHAM
Output• Lake Surface Area• Lake Volume (m³)• Storage Time
103ha Flooded Area19.7million ³ Volume19.4 Days of Storage
44.1ha Flooded Area7.6million ³ Volume7.5 Days of Storage
July 25, 2012
23Potential Small Hydro in British Columbia
July 25, 2012
24RHAM Online
