database for energy efficiency resource user demonstration
Download
Skip this Video
Download Presentation
Database for Energy Efficiency Resource User Demonstration

Loading in 2 Seconds...

play fullscreen
1 / 57

Database for Energy Efficiency Resource User Demonstration - PowerPoint PPT Presentation


  • 107 Views
  • Uploaded on

Database for Energy Efficiency Resource User Demonstration. Jennifer Barnes Pacific Energy Center October 11, 2005. What is DEER?. A collection of data for Residential and Non-Residential energy efficiency measures. http://eega.cpuc.ca.gov/deer/ It provides a common set of:

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Database for Energy Efficiency Resource User Demonstration ' - rio


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
database for energy efficiency resource user demonstration

Database for Energy Efficiency Resource User Demonstration

Jennifer Barnes

Pacific Energy Center

October 11, 2005

what is deer
What is DEER?
  • A collection of data for Residential and Non-Residential energy efficiency measures.
  • http://eega.cpuc.ca.gov/deer/
  • It provides a common set of:
    • Ex ante Savings values:
      • kW, kWh, kBtu
    • Measure Costs
    • Effective Measure Life (a.k.a EUL)
website navigation
Website Navigation
  • Measures categorized by
    • Residential and non-residential
    • Weather sensitive and non-weather sensitive
      • Non-weather sensitive measure impacts determined through engineering calculations
      • Savings do not vary by climate zone or vintage, only building type
weather sensitive measures
Weather sensitive measures
  • Weather sensitive measure impacts simulated using DOE2/eQUEST
    • Single family, multifamily, mobile homes, and 22 non-residential building types
    • Five building vintages
    • 16 climate zones
  • Two levels of savings
    • Customer savings - for system savings and early replacement savings.
    • “Above Code” Savings - for all measures affected by an energy code or standard (reportable savings for replace on burnout)
common units
Common Units
  • Describes the normalizing unit
    • Per ton, lamp, household, linear feet, cloths dryer, etc.
    • The energy and cost common units are distinct
    • Over 90% of cases, they are the same
    • When different, distinctly identified
measure costs
Measure Costs
  • Application – indicates if the cost is for:
    • Retrofit (RET) - replacing a working system with a new technology or adding a technology
    • Replace-on-burnout (ROB) - replacing a technology at the end of its useful life
    • New construction or major renovation (NEW) - installing a technology in a new construction or major renovation
  • Cost Basis – indicates if the cost is:
    • Incremental (INCR) - the differential cost between a base technology and an energy efficient technology
    • Installed (FULL) - the full or installed cost of the measure including equipment, labor, overhead & profit (OH&P)
notable changes
Notable Changes
  • Eliminated coin-operated high efficiency clothes washers and hot water heater tank wrap
  • T-12 removed from DEER as a base case because of new federal guidelines. However, it may be legitimate in lamp/ballast (only) change outs.
  • Programmable thermostats savings diminished:
    • Change in residential assumptions
    • Programmable thermostats or time clocks required by code since 1992
  • A/C savings reduced due to stricter code requirements
cfl changes
CFL Changes
  • Integral versus modular
    • Modular – hardwired ballast with replaceable lamp. 16 year life (res.)
    • Integral – lamp and ballast are “fused.” 9.4 year life (res.)
  • In service factor – applied to CFLs to account for units not in operation
    • Non-res. CLF – “SPC” – assumes that all units are installed and operational
    • Non-res. CFL – in service factor of .92
    • Residential CFL – in service factor of .9
      • No in service factor for table lamps and torchieres
run id
Run ID
  • String variable of fixed length of 13 with the format: ABBB1122CCCCC where:
    • A = Sector Code. ‘R’ = Residential and ‘C’ = Commercial
    • BBB = Building type abbreviation (see codes under Building Type)
    • 11 = Climate zone (see codes under Climate Zone)
    • 22 = Vintage (see codes under Vintage)
    • CCCCC = Measure abbreviation
  • Measure ID - String variable of fixed length of 7
    • (example: D03-001)
supporting documents section
Supporting Documents Section
  • Website Users Guide
  • Net-to-Gross Ratios Table (Use .8 if in doubt)
  • Access Tables
  • Glossary
  • Cost Data
  • Cost Data User’s Guide
  • New EUL Estimates 7-14-05 (SERA Report)
  • Consolidated Measure Data
defining cost parameters measure cost specifications cont
Defining Cost ParametersMeasure Cost Specifications (Cont.)
  • Cost data is first cost only -- life cycle or O&M costs/cost savings not included
  • Pricing reflects commonly available “standard” products and excludes specialty, high-end items
  • Some price observations (outliers) were excluded to assume a rational purchasing policy would be used (“who would pay THAT?”)
  • Equipment and labor prices are specific to California to extent possible but average across state
defining cost parameters key cost definitions
Defining Cost ParametersKey Cost Definitions
  • Cost Observation – a single price point for an individual measure or measure configuration
    • Cost values are what a program participant would pay to implement the measure consistent with definitions in the CA Standard Practice Manual (initial capital cost)
  • Cost units ($ / ton, $ / HP, $ / square foot, etc.)
    • Mostly the same although different for some measures
    • Distinct field in detailed cost data; appended to Cost Basis designator in measure detail
data collection and analysis process labor cost estimates
Data Collection and Analysis ProcessLabor Cost Estimates
  • Labor cost estimates generally base on manhours required to complete task times appropriate wage rate
  • Wage rate based on trade (electrician, plumber, etc.) and geographic location of activity
  • RS Means used to provide wage rate and location adjustment multipliers
data collection and analysis process cost data sources
Website and on-site cost surveys of retailers

Cost quotes from manufacturers, manufacturers sales representatives, and distributors

Cost surveys of contractors and design professionals.

Cost data from in California DSM program files, particularly local programs

Secondary sources and reports

Data Collection and Analysis Process Cost Data Sources
data collection and analysis process cost analysis workbooks raw data
Data Collection and Analysis Process Cost Analysis Workbooks – Raw Data
  • Example of the ‘Raw Data’ section of the High Efficiency Electric Clothes Dryer workbook
data collection and analysis process cost analysis workbooks cost results
Data Collection and Analysis Process Cost Analysis Workbooks – Cost Results
  • Example of the ‘Results’ section of the High Efficiency Electric Clothes Dryer workbook
data collection and analysis process cost analysis workbooks statistical summary
Data Collection and Analysis Process Cost Analysis Workbooks – Statistical Summary
  • Example of the ‘Statistical Summary’ section of the High Efficiency Electric Clothes Dryer workbook
cost data defining cost parameters
How to find the most applicable cost information?

Measure detail pages for each run ID - the per unit equipment measure cost of $13.65 for all 90% residential furnaces

This provides an average cost based on a 100,000 Btu furnace

The ‘Cost Data’ file under ‘Supporting Documents’ provides prices on a range of furnace sizes

This provides a range of costs for 90% AFUE furnaces from 60,000 Btu to 140,000 Btu. Per unit costs ($/KBtu) ranges from $21.53 to $12.13, respectively

The cost workbook section – Can use either statistical summary or individual price observations

For example, the per unit equipment measure cost for 90% AFUE 100,000 furnaces ranges from to $12.31 to $16.52 based on 9 observations

Cost Data Defining Cost Parameters
non weather sensitive measures residential measures
Non-Weather Sensitive MeasuresResidential Measures
  • CFL Lighting
  • Refrigerators
  • Clothes Washers & Dryers
  • Dishwashers
  • Water Heating
  • Swimming Pool Pumps
non weather sensitive measures residential measures1
Non-Weather Sensitive MeasuresResidential Measures
  • CFL LightingMeasure Impact = (delta watts/unit * hours/day * days/year * In Service Rate) / 1000 watts/kWh

Demand Impact =delta watts/unit * In Service Rate * Peak Hour Load Share

The “In Service Factor” is an estimate of the percentage of lamps that are actually used. It is a rough estimate based on utility experience.

    • .9 to be used for all residential CFL programs
    • .92 to be used for non-residential rebate or giveaway programs
    • 1.0 to be used for verified installation programs. Labeled “SPC” in measure name

Hours of Operation/Day” and “Peak Hour Load Share” from KEMA CFL Metering Study

non weather sensitive measures residential measures2
Non-Weather Sensitive MeasuresResidential Measures
  • CFL Lighting – Example (14W CFL replace 60W Inc)Measure Impact = (46W * 2.34 hours/day * 365 days/year * 0.9) / 1000 watts/kWh = 35.4 kWh

Demand Impact = 46W * 0.9 * 0.081 = 3.35 W

non weather sensitive measures residential measures3
Non-Weather Sensitive MeasuresResidential Measures
  • RefrigeratorsUsed the Energy Star calculator available on-line at: http://www.energystar.gov

Key Input values for the calculator: Refrigerator Type (top, side, or bottom mount freezer) Ice through the door (yes or no) Refrigerator fresh volume (cubic feet) Refrigerator freezer volume (cubic feet)

non weather sensitive measures residential measures4
Non-Weather Sensitive MeasuresResidential Measures
  • Clothes Washers Utilized the three recommended Consortium for Energy Efficiency (CEE) Tiers for Modified Energy Factor:Used the Energy Star calculator (that utilizes an EF rather than MEF) on-line at:http://www.energystar.gov Estimated the equivalent EF value for CEE MEF values from Energy Star list of approved washers Other key Energy Star variables include: Number of wash cycles/year (E Star value is 392 cycles) Washer capacity (three sizes – 1.5, 2.65, and 3.5 cubic feet) Further disaggregated impacts by water heat and clothes dryer fuel types Fuel impact disagreegations based on ‘Efficiency Vermont” estimates Demand impact based on a energy/peak factor of 0.417. This is carryover from previous 2001 DEER
non weather sensitive measures residential measures5
Non-Weather Sensitive MeasuresResidential Measures
  • Clothes Washer – Example (Tier 3 2.65 cu.ft) Measure Impact = (cycles/year * capacity / base EF) – (cycles/year * capacity / measure EF) = (392 * 2.65 / 1.58) – (392 * 2.65 / 4.94) = 447 kWh

Demand Impact = Measure Impact * energy/peak factor = 447 kWh * 0.417 = 186.4 W

non weather sensitive measures residential measures6
Non-Weather Sensitive MeasuresResidential Measures
  • Clothes Dryer1993 National Appliance Energy Conservation Act (NAECA) minimum efficiency used for base technology: EF = 3.01 for electric dryers EF = 2.67 for gas dryersUsed DOE test procedure guidelines for: Drying cycles per year = 416 UEC of 2.33 kWh/cycle for electric (969 kWh/year) UEC of 8.95 kBtu/cycle for gas (37.2 therms/year) Assumed 416 cycles represented Single Family Assumed 250 cycles for Multi-Family (CEC estimate of 60% less use by MF) Energy savings 5% of energy use. This is a carryover from previous 2001 DEER Demand impact based on a energy/peak factor of 0.371. This is carryover from previous 2001 DEER
non weather sensitive measures residential measures7
Non-Weather Sensitive MeasuresResidential Measures
  • Clothes Dryer – Example (SF electric) Measure Impact = Electric base use * Savings Percentage = 969 kWh * 0.05 = 48 kWh

Demand Impact = Measure Impact * energy/peak factor = 48 kWh * 0.371 = 17.8 W

non weather sensitive measures residential measures8
Non-Weather Sensitive MeasuresResidential Measures
  • DishwasherUsed the Energy Star calculator available on-line at: http://www.energystar.gov

Key Input values for the calculator: Base Energy Factor (EF) = 0.46 Measure Energy Factor = 0.58 Annual wash cycle (DOE test procedure) = 215 (assume SF) MF wash cycles (assumed to be ~75% of SF) = 160

  • Demand impact based on a energy/peak factor of 0.371. This is carryover from previous 2001 DEER
non weather sensitive measures residential measures9
Non-Weather Sensitive MeasuresResidential Measures
  • Water HeatingMeasures: High efficiency water heater (electric EF=0.93, gas EF=0.63) Heat pump water heater (EF=2.9) Point of use water heater low flow showerhead (from 2.5 to 2.0 gallons per minute) Pipe wrap Faucet aerators
  • Note: Removed water heater blankets because they’re obsolete on models made after 1990.

Savings expressed as % of base use Base use varied by utility service area (same method as 2001)

  • Demand impact based on a energy/peak factor of 0.22. This is carryover from previous 2001 DEER
non weather sensitive measures residential measures10
Non-Weather Sensitive MeasuresResidential Measures
  • Water HeatingMeasure Saving %: High efficiency water heater – electric - 5.4% High efficiency water heater – gas - 5.0% Heat pump water heater – 69.7% Point of use water heater – 15.0% low flow showerhead – 4.0% Pipe wrap – 4.0% Faucet aerators – 3.0%
non weather sensitive measures residential measures11
Non-Weather Sensitive MeasuresResidential Measures
  • Pool PumpsSingle speed and two speed included Relied on PG&E and SCE engineers for calculating impacts: General assumptions: Average pool size of 25,000 gallons Average water turnover rate of 6-8 hours Average pump motor demand of 1.75 kVA Typical filtration time of 4 to 6 hours For single speed motors, motor downsizing and runtime reductions assumed
non weather sensitive measures non residential measures
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Interior Lighting
  • Exterior Lighting
  • Cooking
  • Copy Machine
  • Water Heating
  • Vending Machine Controls
  • High Efficiency Motors
  • Agriculture
non weather sensitive measures non residential measures1
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Interior Lighting Measures:CFL screw-in lamps CFL hardwire fixtures High intensity discharge (HID) lamps Premium T8 lamps Dimming Ballasts De-lamping fluorescent 4 ft and 8 ft fixtures
  • Note: T-12 removed from DEER as a base case because of new federal guidelines. However, it may be legitimate in lamp/ballast (only) change outs.
non weather sensitive measures non residential measures2
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Interior Lighting – Basic MethodologyMeasure Impact = (delta watts/unit * hours/day * days/year * In Service Rate) / 1000 watts/kWh

Demand Impact = delta watts/unit * In Service Rate * Peak Hour Load Share

non weather sensitive measures non residential measures3
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Exterior Lighting & Exit Signs High intensity discharge (HID) lamps Exit Signs Timeclocks Photocells
non weather sensitive measures non residential measures4
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Exterior Lighting & Exit Signs MethodologyHID lamps: delta watts saved * hours of use (4,100 hours) no peak impactsExit Signs: delta watts saved * 8760 hours * Interactive Effects peak = delta watts * Interactive effects * 1.0 (coincidence factor)Timeclocks & Photocells: watts controlled * hours of control no peak impacts
non weather sensitive measures non residential measures5
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Cooking High efficiency fryers (gas & electric) High efficiency griddle (gas) Hot food holding cabinet Connectionless steamer
non weather sensitive measures non residential measures6
Non-Weather Sensitive MeasuresNon-Residential Measures

Cooking - Methodology Relied primarily on the PG&E technology briefsFor each of these measures, the energy savings calculation methodology is of the form:

Savings = (APECRBase – APECREfficient) * Daily Hours * Days

Where:

APECR = The Average Production Energy Consumption Rate/hour

Daily Hours = 12

Days = 365

non weather sensitive measures non residential measures7
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Copy Machines – three sizes 0-20 copies/minute 21-44 copies/minute over 45 copies/minute Methodology assumptions from Energy Star calculator
non weather sensitive measures non residential measures8
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Vending Machine Controls Characterized in two measures by being installed in: Cold drink vending machines Uncooled snack vending machines Measure savings and characterization from the Pacific Northwest Regional Technical Forum database Methodology assumes operated during off-peak hours, therefore no demand savings
non weather sensitive measures non residential measures9
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Water Heating Savings expressed as % of base use Base use varies by building type. Come from the 1994 DEER study Measures: High efficiency gas water heater (7.1% savings) Point of use water heater (10% savings) Water circulation pump time clock (6% savings)
non weather sensitive measures non residential measures10
Non-Weather Sensitive MeasuresNon-Residential Measures
  • High Efficiency Motors Meet premium efficiency standards established by the Consortium for Energy Efficiency (CEE) Base efficiency meets Energy Policy Act (EPACT) minimum Motor sizes range from 1 HP to 200 HP Motor hours of operation vary by industry sector Motor loading from US DOE Motor Master software Peak demand based on a coincidence factor of 0.75
non weather sensitive measures non residential measures11
Non-Weather Sensitive MeasuresNon-Residential Measures
  • High Efficiency Motors - CalculationEnergy savings (kWh) = (Motor HP / EPACT motor efficiency) * kW/HP * hours of operation * motor loading – (motor HP / premium motor efficiency) * kW/HP * hours of operation * motor loading

Peak (kW) = (motor HP * kW/HP * coincidence factor / EPACT motor efficiency) - (motor HP * kW/HP * coincidence factor / premium motor efficiency)

non weather sensitive measures non residential measures12
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Agricultural Measures Low pressure irrigation sprinkler nozzle Sprinkler irrigation to micro irrigation conversion Infrared film for greenhouses Greenhouse heat curtain Variable frequency drive for dairy pumps Ventilation fans or box fans High volume, low speed fans
non weather sensitive measures non residential measures13
Non-Weather Sensitive MeasuresNon-Residential Measures
  • Agricultural Measures
  • Methodology taken from Express Agricultural Work Papers
  • Irrigation savings varied by crop type
      • Citrus trees
      • Deciduous trees
      • Field/vegetable
      • Grapes
  • And water source
      • Well
      • Non-well
ad