+ All Categories
Home > Documents > The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035...

The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035...

Date post: 04-Jul-2020
Category:
Upload: others
View: 1 times
Download: 0 times
Share this document with a friend
10
The Economics of Demand Flexibility Business models to deliver customer value in an integrated grid ACEEE Intelligent Efficiency Conference, December 7, 2015 Mark Dyson, Manager – Rocky Mountain Institute [email protected] | @mehdyson | www.rmi.org/electricity_demand_flexibility
Transcript
Page 1: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

The Economics of Demand Flexibility Business models to deliver customer value in an integrated grid ACEEE Intelligent Efficiency Conference, December 7, 2015 Mark Dyson, Manager – Rocky Mountain Institute [email protected] | @mehdyson | www.rmi.org/electricity_demand_flexibility

Page 2: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

2000  2500  3000  3500  4000  4500  5000  5500  6000  

1980  

1985  

1990  

1995  

2000  

2005  

2010  

2015  

2020  

2025  

2030  

2035  

2040  

electricity

 sales  T

Wh  

Year  

EIA  electricity  consump7on  projec7ons  

Context: rising costs, flat demand 2  

Utilities plan to invest $1.4 trillion in infrastructure upgrades through 2030, but sales have declined 5 out of the last 7 years, and growth forecasts have been systematically lowered.

 $505    

 $300    

 $580    

 $1,385    

 $-­‐          $200      $400      $600      $800    

 $1,000      $1,200      $1,400      $1,600    

$  billion

 

Grid  investment  forecast,  2015-­‐2030  

 Source:  DOE  QER  2015;  EEI;  EIA  EPM  and  AEO  

Actual  

Forecasts  

2002  

2015  

Page 3: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

RO

CKY MOUNTAIN

INSTIT UTE

THE ECONOMICS OF DEMAND FLEXIBILITY | 6

EXECUTIVE SUMMARY

THE EMERGING VALUE OF FLEXIWATTS: THE BROADER OPPORTUNITY FOR DERs TO LOWER GRID COSTS

Electric loads that demand flexibility shifts in time can be called flexiwatts—watts of demand that can be moved across the hours of a day or night according to economic or other signals. Importantly, flexiwatts can be used to provide a variety of grid services (see Table ES1). Customers have an increasing range of

choices to meet their demand for electrical services beyond simply purchasing kilowatt-hours from the grid at the moment of consumption. Now they can also choose to generate their own electricity through distributed generation, use less electricity more productively (more-efficient end-use or negawatts), or shift the timing of consumption through demand flexibility (see Figure ES1). All four of these options need to be evaluated holistically to minimize cost and maximize value for both customers and the grid.

TABLE ES1FUNDAMENTAL VALUE DRIVERS OF DEMAND FLEXIBILITY

CATEGORY DEMAND FLEXIBILITY CAPABILITY GRID VALUE CUSTOMER VALUE

CapacityCan reduce the grid’s peak load and flatten the aggregate demand profile of customers

Avoided generation, transmission, and distribution investment; grid losses; and equipment degradation

Under rates that price peak demand (e.g., demand charges), lowers customer bills

Energy Can shift load from high-price to low-price times

Avoided production from high-marginal-cost resources

Under rates that provide time-varying pricing (e.g., time-of-use or real-time pricing), lowers customer bills

Renewable energy integration

Can reshape load profiles to match renewable energy production profiles better (e.g., rooftop solar PV)

Mitigated renewable integration challenges (e.g., ramping, minimum load)

Under rates that incentivize onsite consumption (e.g., reduced PV export compensation), lowers customer bills

kW

Reduce demand whenever load is operated, thus lowering the daily load curve.

0 4 8 12 16 20 24

1

2

3

Normal Load Efficient Load

hour

Energy Efficiency

Generate electricity, changing the profile of net grid demand while reducing total grid demand.

0 4 8 12 16 20 24

1

2

3

Normal Load PV Net Load

hour

Distributed Generation

Buy kWh from the grid as and when needed.

0 4 8 12 16 20 24

1

2

3

Normal Load

hour

Grid Purchases

Shift eligible loads across the hours of a day to lower-cost times, reshaping the daily load curve.

0 4 8 12 16 20 24

1

2

3

Normal Load Flexible Load

hour

Demand Flexibility

FIGURE ES1GRID PURCHASES, DISTRIBUTED GENERATION, ENERGY EFFICIENCY, AND DEMAND FLEXIBILITY COMPARED

Consumers have expanding options 3  

To meet demand for electricity, utility customers used to buy it, but it is increasingly easy and cost-effective to make it, avoid it, or shift it.

 Source:  RMI  The  Economics  of  Demand  Flexibility  

Page 4: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

Harnessing DER: demand response vs. demand flexibility 4  

Underlying technology is the same, but demand flexibility business models build on and complement the traditional demand response paradigm.

Grid focused Customer focused

Wholesale drivers: price, reliability

Retail drivers: tariffs, DER integration

Infrequent / emergency Frequent / always on

Demand Response Demand Flexibility

Consumer value increases scalability Slow to scale

Page 5: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

Trends in rate design value demand flexibility 5  

Nationwide, 65 million customers are already eligible to opt in to time-of-use pricing rates, and an increasing number of utilities are proposing non-volumetric default rates.

Trend Overview Examples

Time-­‐varying  energy  pricing  

Prices  for  energy  change,  as  oQen  as  hourly,  depending  on  Rme  of  day.  

ComEd,  Ameren  (IL),  California,  MassachuseXs,  >600  others  

Demand  charges  Customers  pay  a  fee  corresponding  to  maximum  demand  during  a  given  period  (e.g.  monthly)  

Salt  River  Project,  Arizona  Public  Service,  PG&E*,  SDG&E*,  Westar  Energy,  OG&E*,  10+  others  

Reduced  export  compensaRon  for  PV  

Exported  PV  is  compensated  at  less  than  the  retail  rate  

HECO,  Alabama  Power,  Xcel*,  Tucson  Electric*,  SCE*,  SDG&E*  

*proposal  

Page 6: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

0"

5"

10"

kW#

Uncontrolled#load#profile#

"%""""

"5""

"10""

kW#

Flexible#load#profile#

Demand flexibility supports on-site PV use 6  

Load can be scheduled to coincide with PV generation in the absence of net energy metering.

Move  load  into  PV  producRon  hours  

!"!!!!

!2!!

!4!!

!6!!

!8!!

!10!!

!12!!kW

#Flexible#load#profile#

Ba+ery!

EV!

Dryer!

DHW!

AC!

Other!load!

 Source:  RMI  The  Economics  of  Demand  Flexibility  

Page 7: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

Customers save 10-40% net with DF 7  

Under rates that exist today, residential customers can achieve 10-40% annual bill savings. Across just four markets, there is an $800 million/y savings potential for eligible customers.

RO

CKY MOUNTAIN

INSTIT UTE

THE ECONOMICS OF DEMAND FLEXIBILITY | 8

EXECUTIVE SUMMARY

FIGURE ES2ESTIMATED AVOIDED U.S. GRID COSTS FROM RESIDENTIAL DEMAND FLEXIBILITY

FIGURE ES3DEMAND FLEXIBILITY ANNUAL POTENTIAL BY SCENARIODF GENERATES SIGNIFICANT PER-CUSTOMER BILL SAVINGS (%) WITH LARGE AGGREGATE MARKET SIZES ($ FOR EACH ANALYZED UTILITY TERRITORY)

$16

$10

$12

$14

$4

$6

$8

$2

$0

$6.9

$2.1

$3.3$0.7 $0.4 $13.3

$bill

ion/

year

Generation

*Individual components do not add to total because of rounding

Transmission &Distribution

Energy Arbitrage Regulation Spinning Reserve Total

Capacity Ancillary Services

80%

90%

100%

50%

60%

70%

20%

30%

40%

10%

0%Real-Time Pricing

(ComEd)

$250 mil/year

12%

Residential DemandCharges

(SRP)

$240 mil/year

41%

Rooftop Solarwith No Export Compensation

(HECO)

$110 mil/year

33%

Avoided CostCompensation for

Exported PV(APC)

$210 mil/year

11%

Per-Customer Net Bill Savingsby Scenario

Market Size in Each Utility Territory

 Source:  RMI  The  Economics  of  Demand  Flexibility  

Page 8: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

Case details: Salt River Project 8  

•  DF reduces peak demand by 48% •  PV customer saves 41% net on bills •  A new customer breaks even, including

cost of PV at today’s prices

•  >350,000 eligible customers •  $240 m/y savings for eligible customers •  Unlocks $6 billion rooftop PV market

 $-­‐          $1,000      $2,000      $3,000      $4,000      $5,000    

Default  rate  

PV  +  Demand  Charge  

DF  

$/year  

Annual  supply  costs:  SRP  customer  

Fixed  

Demand  

DF  tech  PV  tech  

Energy  

 Source:  RMI  The  Economics  of  Demand  Flexibility  

Page 9: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

New business models can scale this resource 9  

Utility tariffs and programs can line up incentives for new business models to deliver what the customer values, while also lowering bills and reducing grid costs with demand flexibility.

v  Lower  bills  v  Increased  comfort  v  More  control  v  Self-­‐genera7on  v  Green  a9ributes  v  Shiny  objects  v  Social  engagement  v  Security  v  ...  

Customers  want  many  things...   ...  and  companies  are  innova7ng  to  deliver  it  

Page 10: The Economics of Demand Flexibility · 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 (TWh (Year(EIAelectricity(consump7on(projec7ons(Context: rising costs, flat

Developers and utilities have a role to play 10  

Good retail pricing and new business models can unlock massive value from demand flexibility, and reduce customer bills while lowering grid costs.

DER developers Utilities & regulators v  Capture  the  grid  value  of  

flexibility  +  PV  with  rate  design  that  aligns  incen7ves  by  lining  up  customer  prices  with  uRlity  costs  

v  Seek  partnerships  to  unlock  innova7on  and  drive  the  scale  of  the  flexibility  resource  

v  Take  advantage  of  business  opportuni7es  that  exist  today  across  the  US  and  abroad  

v  Focus  on  delivering  what  the  customer  wants,  but  seek  to  moneRze  addiRonal  grid  values  of  demand  flexibility  


Recommended