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- Marty Blake
- The Prime Group, LLC
- 502-425-7882
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- Who are your most profitable customers?
- Are all of your customers contributing to margins or are margins on some
customers negative?
- Which customers are your competitors most likely to target?
- Does your current rate design result in price exposure in a retail
choice environment?
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- If you have no idea where your competitors will attack, it is difficult
to prepare a solid defense
- You need a scouting report on areas where you are vulnerable
- Marketing resources are limited and targeting is necessary for maximum
effectiveness
- Individual customer profitability is the key
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- Profit = Revenue -
Cost
- Revenue = Price
x Quantity Sold
- Total Cost = Fixed Cost + Variable Cost
- Sounds easy, but …
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- Relatively easy to determine historically
- Determined from customer billing data for a specific period
- Usually a fixed price environment
- Difficulties predicting future revenue
- Price elasticity of demand (how does quantity change in response to
price changes)
- Quantity drivers – weather, economic conditions
- Price variability
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- Fixed costs
- Generation capacity
- Transmission capacity
- Distribution capacity
- Variable costs
- Fuel
- Environmental controls – scrubber reactant, emissions allowances
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- Fixed cost – time that the demand is placed on the system
- Generation – Coincident peak demand
- Transmission – Coincident peak demand
- Distribution - Non-coincident peak demand
- Variable cost – time of use
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- Because time is a critical cost driver, it is essential to determine
when customers place demands on the system or when they use energy
- Need timed usage data to accurately allocate fixed costs (at least
hourly readings)
- Need timed usage data to accurately allocate variable costs
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- $450/kW for installed frame gas turbine
- 20% carrying charge
- $450 x .20
= $90/kW/year revenue requirement
- Over how many hours will this cost be allocated?
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- $4/MCF natural gas
- 10,000 BTU/kWh
- $0.04/kWh variable cost using natural gas
- About $0.01 to $0.015/kWh variable cost using coal
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- Take variability on the supply side
- Build capacity to meet the peaks
- Given the shape of the load duration curve, this can be expensive
- Take variability on the demand side
- Price signals
- Equipment to help customers respond to price signals
- Load control
- Utilize both supply and demand sides
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- Given the substantial fixed and variable cost of peaking units
- To which customers will peaking capacity costs be allocated?
- To which customers will coal based fuel costs be allocated?
- To which customers will natural gas based fuel costs be allocated?
- Time of use is the key
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- Data necessary to estimate price elasticity of demand
- Need means of sending real time price signal to customers
- Integrating price signal with customer controlled equipment to respond
to price
- Provide customers with real time usage information
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- AMR can play a substantial role whether the supply side approach, the
demand side approach or a mixed approach is adopted
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- If you are going to incur substantial peaking costs, it is important to
allocate them correctly
- Timed usage data makes fixed and variable cost allocation much more
accurate
- Greatly improves accuracy of cost of service studies
- Greatly improves calculation of individual customer profitability
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- Incorrect allocation of substantial fixed and variable costs will result
in some customers subsidizing the usage of other customers
- Subsidies are not sustainable in a retail choice environment
- Customers paying the subsidies will select another energy supplier
(competitive exposure)
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- Provides data necessary to estimate price elasticity of demand (price
responsiveness)
- Can provide infrastructure for transmitting real time price signals to customers
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- AMR installation has frequently been justified based on operational
savings
- Another magnitude of savings may result from utilizing price response
- With high wholesale power prices
- Being a seller rather than a buyer
- Usage information as a saleable product
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- Operational savings
- Purchased power savings
- Wholesale power revenues
- Selling customer usage information
- Accurately allocating costs and determining customer profitability
- Utilizing multiple benefits is the key
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- Provides detail regarding a utility’s cost structure
- Provides data for pricing efforts
- Identifies differences in rates of return among rate classes
- Can be used to determine the characteristics of an “average” customer in
each class
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- Rates support the average customer
- Which customers do you want to attract or to help expand?
- Attracting customers that are better than “average” will help to grow
margins
- Attracting customers that are worse than “average” will reduce margins
and can result in financial distress
- Identifying better than average customers
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- What does the average customer look like?
- Plant investment
- Load factor
- Operating expense
- revenue
- Margin
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- Picks up where cost of service leaves off
- Allocates costs and revenues to individual customers
- Identifies differences in rates of return within rate classes
- Who are your most profitable customers?
- Least profitable?
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- Likelihood of switching based on price may be mitigated or enhanced by
the customer’s satisfaction with and its attitudes regarding the current
supplier.
- Integrate the raw data from
previous attitudinal surveys and market research studies
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- Large differences in profitability within classes result from rates that
are not cost based
- Cost based rates reduce or remove within-class subsidies
- Reduces revenue variability
- Need accurate information on cost allocation (role for AMR)
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- Targeting vs. One Size Fits All
- Choice vs. Control
- Rate options as a foundation for a marketing program
- Bundling rates with products and services that take advantage of the
rate
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50
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- Unbundle into at least 5 components
- Generation demand
- Generation energy
- Transmission demand
- Distribution demand
- Customer charge
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- Components of an unbundled rate structure can better reflect principles
of cost causation
- Coincident peak (CP) basis > production and bulk transmission
components
- Non-Coincident peak (NCP) basis >distribution, radial transmission
and transmission substation components
- Rate structure that will be utilized by electric utilities in a more
competitive environment
- More tools to use in working with customers
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52
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- Load all margins on distribution and customer charges
- No margins on generation energy or demand
- Bulletproofs utility financially
- Reduces financial impacts of switching
- Similar to rates for natural gas LDCs
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- Relationships established through multiple transactions with the
customer
- Multiple transactions as an exit barrier
- A web that helps to retain customers
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- Price / Value relationship
- Increasing value rather than reducing price
- Utilizing value added products and services
- Role for AMR in providing value added products and services
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- Definition of basic electric service
- Identification of premium services
- Menus of fee-based services
- Bundling fee-based services
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- Billing data
- Usage data
- Cost allocation
- Customer profitability
- Price elasticity
- AMR data as a value added product
- Infrastructure for delivering real time prices
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