The Need for Electrical Engineers
10
The Need for Electrical Engineers Workshop on Reforming Electric Energy Systems Curriculums February 4, 2010 Clark W. Gellings Fellow
Transcript of The Need for Electrical Engineers
The Need for Electrical Engineers
Workshop on Reforming Electric Energy Systems Curriculums February 4, 2010
Clark W. Gellings Fellow
2© 2010 Electric Power Research Institute, Inc. All rights reserved.CWG/9497P
Aging Workforce
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CO2 Reductions … Technical Potential*
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1990 1995 2000 2005 2010 2015 2020 2025 2030
U.S
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*Achieving all targets is very aggressive, but potentially feasible.
Technology EIA AEO Base Case EPRI Prism Target
Efficiency Load Growth ~ +0.95%/yr ~400 TWh Additional Reduction
T&D Efficiency None 20% Reduction in T&D Losses by 2030
Renewables 60 GWe by 2030 135 GWe by 2030
Nuclear 12.5 GWe New Build by 2030 No Retirements; 64 GWe New Build by 2030
Fossil Efficiency
40% New Coal, 54% New NGCCs by 2030
+3% Efficiency for 75 GWe Existing Fleet 49% New Coal; 70% New NGCCs by 2030
CCS None90% Capture for All New Coal + NGCC After 2020
Retrofits for 60 GWe Existing Fleet
Electric Transportation None
PHEVs by 2010; 40% New Vehicle Share by 20253x Current Non-Road Use by 2030
Electro- technologies None Replace ~4.5% Direct Fossil Use by 2030
EIA Base Case 2009
4© 2010 Electric Power Research Institute, Inc. All rights reserved.CWG/9497P
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EIAEPRI
RPSsUCS
EFCASES
NREL
ACORE
Renewable Generation Targets (new GW)
60 by
2030
100 b
y 203
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635 b
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U.S. Jobs Created by Renewable Energy in 2030 (Total Jobs Created – Selected Technologies)
Source: Management Information Services, Inc. and American Solar Energy Society, 2008
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Wind Technology Development
Towers
Grid Interfaces & Integration
Rotors & Blades Drive Train
Operations & Maintenance
Off-Shore Systems
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Solar Technology Development
Photovoltaic Cells
Thermal Storage
Central -
Station
Hybrid Systems
Deployment & Integration
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Integration Technology Development
Transmission
Planning Tools
800 MW increase in 45 minutes
Gradient: 1067 MW/h
Storage
Demand Response
Could you predict the energy production for this wind park either day-ahead or 5 hours in advance?
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Meg
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Each Day is a different color.
Day 29
Day 5Day 26
Day 9
Could you predict the energy production for this wind park either day-ahead or 5 hours in advance?
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24Hour
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Each Day is a different color.
Day 29
Day 5Day 26
Day 9
Forecasting
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Hyper-Efficient Technologies
Heat Pump Water Heaters
Variable Refrigerant Flow Air Conditioning
Ductless Residential Heat Pumps and Air Conditioners
Hyper-Efficient Residential Appliances
LED Street and Area Lighting
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Gateway to the Electromagnetic Spectrum
