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Peak Load Management Alliance

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A 'straw man' critical peak regulatory model. A residential example of critical peak pricing ... No forward market for energy critical peak hours ... – PowerPoint PPT presentation

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Title: Peak Load Management Alliance


1
A Dynamic PricingRegulatory Model
UHR Technologies
  • Peak Load Management Alliance
  • 2002 Fall Conference
  • C. William Uhr, Jr.
  • UHR Technologies L.P.
  • October 8, 2002

2
Presentation Overview
  • Implications of PJM hourly prices
  • The need for a regulatory paradigm shift
  • Enabling and peak reducing technologies
  • Barriers and benefits of dynamic pricing
  • A straw man critical peak regulatory model
  • A residential example of critical peak pricing

3
Typical Energy Price Duration Curve
4
1999 PJM Hourly Energy Prices
5
2000 PJM Hourly Energy Prices
6
2001 PJM Hourly Energy Prices
7
PJM Average Energy Prices
8
Why Regulated Dynamic Pricing?
  • Improved asset utilization is key to reducing
    bills
  • Most customers today are served by regulated
    utilities
  • Demand response technologies have come of age
  • Dynamic pricing in wires and commodity 2x
    savings
  • Customers should have choice in pricing options
  • Can serve as a catalyst to move competitive
    suppliers

9
Enabling Technologies
  • Interval meters
  • Advance billing systems
  • Automated load management controls
  • Internet-based customer interface software

10
Peak Reducing Technologies
  • Energy management systems
  • On-site clean backup generators
  • Thermal storage
  • Battery backup
  • Fuel Cells

11
Barriers to Dynamic Pricing
  • Energy unregulated markets are immature
  • No forward market for energy critical peak hours
  • Customers require predictability in price to
    invest
  • Regulated utilities earnings negatively impacted
  • Perception customers dont care or will be hurt
  • Need for instant gratification vs.
    crawl-walk-run

12
Benefits of Dynamic Pricing
  • Provides customers with robust pricing choices
  • Drives customer-side load shaping technologies
  • Improves delivery and supply asset utilization
  • Reduces risk of short-term reliability problems
  • Stimulates new load-side technology development
  • Bottom line a more efficient electric system

13
A Critical Peak Pricing Regulatory Model
  • Utilities must offer critical peak (CP) pricing
  • A CP option applies to all classes of customers
  • Mass market CP pricing is class revenue neutral
  • Pricing includes automatic annual adjustments
  • Utility entitled to annual cost/revenue recovery
  • Applies to standard offer commodity and wires

14
Straw Man Commodity Methodology
  • Create a proxy critical peak kWh marginal cost
  • Adjust proxy marginal cost annually
  • Critical peak hours based on a threshold
    load/price
  • Revenue neutrality determines off-peak price/kWh
  • Wholesale market used as reference for gain/loss
  • Next year utility gets refund/recovery of
    gain/loss

15
Straw Man Wires Methodology
  • Determine marginal cost of wires capacity
  • Adjust marginal cost annually
  • Critical peak hours based on a threshold load
  • Revenue neutrality determines off-peak price/kWh
  • Typically 25 - 50 wires cost allocated to peak
  • Standard wires rate used as reference for loss
  • Next year utility gets refund/recovery of loss

16
A Residential Example Energy UsageNo Electric
Space or Water Heating
17
A Residential Example Bill SavingsNo Electric
Space or Water Heating
18
Residential Market Drivers
  • Ability to provide value beyond just payback
  • Pricing options that provide savings
    predictability
  • Marketers that provide turnkey packages
  • Robust pricing that can produce large savings
  • Dynamic pricing awareness campaign by utilities
  • The availability of level payment billing plans

19
Summary of Key Points
  • Restructuring to date no critical peak pricing
    options
  • Technology is far ahead of the regulatory process
  • Regulated utilities must improve asset
    utilization
  • Dynamic pricing will accelerate demand response
  • Utilities, customers, and participants must all
    win
  • Greatest barrier to dynamic pricing regulatory
    rules
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