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Technical Review Committee Meeting May 16, 2011 Debra Lew National Renewable Energy Laboratory Golden, Colorado USA PowerPoint Presentation
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Western Wind and Solar Integration Study: Scenarios and Data Inputs. Technical Review Committee Meeting May 16, 2011 Debra Lew National Renewable Energy Laboratory Golden, Colorado USA. Agenda. Status update Scenarios Data refinements. Status.

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Western Wind and Solar Integration Study:

Scenarios and Data Inputs

Technical Review Committee Meeting May 16, 2011

Debra Lew

National Renewable Energy LaboratoryGolden, Colorado USA

NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy operated by the Alliance for Sustainable Energy, LLC

agenda
Agenda
  • Status update
  • Scenarios
  • Data refinements
status
Status
  • Contracts underway or being processed with Wind Wear, and Intertek/APTECH (cost shared with WECC)
  • GE contract being scoped
  • DOE approval of wind/solar scenarios
  • Plexos model up and running
  • WECC 2020 database completed and being tested
proposed scenarios
Proposed Scenarios

Use NREL ReEDS model to expand generation fleet subject to geographical and electric power system constraints (and select regional distribution)

Solar consists of 40% CSP and 60% PV

CSP has 10 hours of storage

*note that related side sensitivity analyses in FY12 may include Plexos runs of various penetrations of solar with various PV/CSP ratios

scenario development tasks
Scenario Development Tasks
  • Select locations of wind and solar sites based on capacity factor and proximity to transmission
  • Map sites to HV buses
  • Run unconstrained and constrained transmission cases in Plexos
  • Develop transmission expansion plan to accommodate 33% wind/solar
  • Run a final iteration in Plexos to determine if transmission expansion is adequate
transmission zones
Transmission zones
  • Run zonally initially. Nodal runs at a later date for deeper dives.
  • Propose to use these 20 TEPPC zones. Aiming at more rather than less zones to better approximate actual current operations.
  • Commit and dispatch within each zone with hurdle rates between zones to allow for interzone transfers.
wind actuals dataset
Wind “Actuals” Dataset
  • 3TIER Western Wind Resources Dataset
    • Increased variability at 3-day seams – was not found to be a problem with hourly MAPS simulations in WWSIS1. Every 3rd day was removed from statistical analysis in WWSIS1. We will use this for hourly Plexos simulations for WWSIS2. Subhourly analysis will have to be evaluated to see if seams create problems.
    • Capacity factors differ from measurements in some areas, eg CO – Impact will be on geographic diversity because more sites will be needed to get at the same energy penetration. This is not deemed to have significant impact.
wind forecast dataset
Wind Forecast Dataset

Western wind dataset has a positive bias in the day-ahead forecasts

Use measured wind forecast error distributions to correct bias

solar actuals dataset
Solar “Actuals” Dataset
  • Utility-scale PV
    • Existing WECC PV dataset has 50 MW PV plants modeled for 10km grid cells
    • Filter function under development to model utility-scale PV plants up to 500 MW. We will need to size and site these. Propose 50/50 split between metropolitan and remote areas.
  • DG PV
    • Use DG rooftop PV dataset from WWSIS1
    • Distribute generation identical to load in each load bubble
  • CSP
    • Rerun CSP profiles for 10 hours of storage
    • Select best sites
solar forecasts dataset
Solar Forecasts Dataset
  • Obtaining solar forecast error distributions
  • Check existing solar forecast dataset against measured forecast error distributions
  • Refine existing solar forecast dataset as necessary to match measured distributions
other emissions no x so 2
Other emissions (NOx,SO2)

**These numbers are highly sensitive to input assumptions (percent loading) and/or a small number of extreme outliers (some are bad fits).

retirement scenarios
Retirement Scenarios
  • Other analysis shows plant retirements to have significant impact on cycling/ramping costs
  • Data options
    • WECC TEPPC DWG retirements are based on CAISO 33% study
    • GE analysis on plant retirements