long term study task force update modeling emerging resources through 2030 january 13, 2012 ltstf

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Emerging Resources ERCOT is compiling modeling data for: Demand Response resources Solar Wind Resources (including coastal wind) Storage Technologies (CAES, Battery, etc.) Energy Efficiency resources LTSTFJanuary 13, 2012

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Page 1: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Long Term Study Task Force Update

Modeling Emerging Resources Through 2030

January 13, 2012LTSTF

Page 2: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

ERCOT Long-Term Study Update

LTSTF

ERCOT is in the process of evaluating the spectrum of resources to be considered within the context of the Long-Term Study

Scenarios modeled to-date include only a subset of potential resources – only those for which we had adequate operational and financial data.

To finalize future scenarios, ERCOT is collecting data about other emerging resources.

January 13, 2012

Page 3: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Emerging Resources

ERCOT is compiling modeling data for:

•Demand Response resources

•Solar

•Wind Resources (including coastal wind)

•Storage Technologies (CAES, Battery, etc.)

•Energy Efficiency resources

LTSTFJanuary 13, 2012

Page 4: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Current Activities

• ERCOT has posted an RFP to obtain site specific, load correlated wind generation forecasts for existing and hypothetical sites (currently in contract negotiation)

• ERCOT has met with developers of various storage technologies to discuss operational and financial characteristics

• ERCOT is working with ETWG and DSWG to develop model input assumptions for emerging technologies and demand response resources

LTSTFJanuary 13, 2012

Page 5: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

As an Example: Modeling Demand-Side Resources

LTSTFJanuary 13, 2012

• Demand Response and Energy Efficiency Resources possess unique operating, bidding, and capital investment characteristics

• ERCOT is working with DSWG to expand and improve DS/EE resource modeling

• Starting point: Recently completed Brattle Study (national study examining DR potential in several key states)

• Texas named #1 in DR Potential Reduction (19GW by 2019)

Page 6: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Goal for the Long-Term Study: ERCOT-size the Brattle Study

In order to model demand-response resources in all scenarios, we need (by technology type):

• Operating Characteristics• Capital Cost• Variable O&M• Feasible/likely locations

In the last DSWG meeting, potential residential DR technologies were identified, operating characteristics assigned, and costs were forecasted.

LTSTFJanuary 13, 2012

Page 7: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Modeling Assumptions for Residential DR

LTSTF

• Devices can be interrupted by a one-way or two-way switch or thermostat

• Access inside a residence greatly increases installation costs

• Customer participation incentives can greatly impact the viability of a project

• Minimum efficient scale is 10MW

• Ideal locations are densely populated areas on the load side of a transmission constraint

January 13, 2012

Page 8: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

DR Financial Assumptions

• DR is paid energy• Revenues received are equivalent to top 100 hours, as

determined in the 2030 Promod Case• Each interruptible customer contributes approximately 1kW/Hr

of relief, cycled with other customers over the course of an hour

• Customer acquisition costs are reasonable up to approximately 12-18% penetration

• Rep switching rate keeps customer constant for the life of the asset

• No service fees paid to aggregator• Strike decision is tied to LMP only - no predetermined ambient

temperature or load level• Installation costs are capitalized

LTSTFJanuary 13, 2012

Page 9: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Residential Financial Analysis

LTSTFJanuary 13, 2012

  1-way Thermostat 2-way Thermostat 1-way Switch 2-way Switch

Capital Cost ($/unit) 200 500 60 120

Installation Cost ($/unit) 200 200 100 100

O&M Cost ($/kw) 25 25 25 25

kW output/unit 1 1 1 1

Number of units 10000 10000 10000 10000

Incentive payment ($/hr/unit) 0 0 0 0

Available hours / Yr 100 100 100 100

Economic life (years) 10 10 10 10

Capital Cost  $                 4,000,000   $                 7,000,000   $      1,600,000   $      2,200,000 

O&M Cost Annual  $                     250,000   $                     250,000   $          250,000   $          250,000 

Nameplate Capacity (MW) 10 10 10 10

$/kW  $                             400   $                             700   $                  160   $                  220 

Annual Availability 1.14% 1.14% 1.14% 1.14%

Next step: ERCOT will work with DSWG to establish similar parameters for demand response resources from industrial and commercial.

Page 10: Long Term Study Task Force Update Modeling Emerging Resources Through 2030 January 13, 2012 LTSTF

Overall Progress to date:

LTSTF

• DSWG hosted a LTS/DSWG meeting (10/27) to define the spectrum of DR/EE Products. The team is working on:– DR/EE Products, by customer class– DR/EE operating constraints– DR/EE Product Specific Capital and Variable Costs– “Game Changing” Scenarios for DS/EE development

• November 18th DSWG Meeting– Refined operating characteristics, costs, for Residential DR– Established BAU parameters for Residential DR

• Presented financial analysis and assumptions for Residential

• Presented commercial input data

• Goal for Jan. 2012 – Industrial and all tech modeling options / performance

January 13, 2012