NORTHWEST ENERGY EFFICIENCY ALLIANCE
RBSA Metering Interim Presentation
Ecotope, Inc.
July 17, 2012
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Agenda
Introduction/Overview
Sample
Metered end uses
Early look at the data
Next steps
Timeline and Deliverables
Deliverable/Milestone Date
Installations complete Dec. 29, 2011
First data collection visit complete Mar. 31, 2012
Interim report Q3 2012
First year of metering complete Q1 2013
Final report and dataset Q4 2013
Continued monitoring in test bed 2-5 years
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Residential Building Stock Assessment - Metering
2 year whole-home metering study Detailed look at the determinants of energy use
Last major regional study (ELCAP) 25 years old Major changes in home energy use since No regional lighting study done until now Collect data for end use load shapes
Data analysis will provide key information for regional planning efforts and utility incentive programs Northwest Power and Conservation Council’s 7th
Power Plan
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High resolution accounting of electricity usage for at least 90% of all house end-uses
Detailed (5 minute) load shapes for all end uses of interest (heating, cooling, hot water, major appliances, plug loads)
25 heat pumps (control settings) Run time/gas usage for gas furnaces/water
heaters Airflow/external static pressure/2 stage data Daily remote access to all data (except lighting)
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Residential Building Stock Assessment - Metering
Residential Building Stock Assessment
Assessment of base case residential building characteristics in the PNW
1456 total single family sites in RBSA (65% of sites single family and remainder mfd homes/apts)
Sample frame designed to ensure statistical significance in various subregions (Puget Sound, Western Oregon, Eastern Washington, etc.)
About 600 data fields collected in half day audit Physical audit (heat loss) Heating/cooling/hot water equipment survey Major appliance and plug load census Room by room lighting survey
About 35% of sites also tested for house/duct tightness
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Overall Study Architecture
RBSA Sample (1456)
House & duct tightness (508)
Fully Instrumented (101)
RBSA Metering Sample
Based on the RBSA sample Target single-family energy end-uses Targeted to provide detailed information on:
Major climate zones both heating and cooling Heating fuel type Electric heating system types
Contains both electricity and gas elements Sample recruited from RBSA sample frame and
designed to be integrated into that sample
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Site Locations
Region Sample
E. Washington 16
Idaho 14
Montana 5
Puget Sound 36
W. Oregon 30
Total 101
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Data Collection Structure
The dataset will provide an end use breakdown 5 minute accumulation of RMS energy—total service drop and
all sub-metered channels (both at panel and via wireless network)
5 minute averages of key temperatures 5 minute snapshots of service voltages, true power, power
factor (load shapes) Distinguishes between heating and cooling (heat pumps) Accumulates gas furnace and gas water heater run-time Tabulates lighting cycles; these data combined with fixture/bulb
data from whole-house lighting audit
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Whole Home
Service entry (all electricity to home) Indoor temperature (main living area) Outdoor temperature
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Heating and Cooling
19 electric resistance homes 8 forced air-furnaces; 11 zonal electric
25 heat pump homes 3 ductless heat pumps, 2 dual-fuel, 1
packaged unit, 1 ground-source heat pump
57 natural gas homes 2 boilers 2 gas fireplace/wall heaters 53 gas forced-air
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Domestic Hot Water
60 electric & 41 gas tank water heaters No on-demand systems
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Appliances
Refrigerators (123) Dishwashers Freezers Clothes washers Clothes dryers Ranges Well pumps Spas
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Plug Loads
TVs (160) Cable boxes Gaming consoles Other TV accessories Computers (103) Computer peripherals Space heaters
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Lighting
Average of 19 fixture groups per home
On/off cycles, fixture wattage
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We’ve Got One…
Nissan Leaf Wine cooler Elliptical trainer Refrigerated drinking fountain Fish tank
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Preliminary Findings
Case Study
Analytic Approach
Interim Metered Data
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Case Study: Large Loads
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Case Study: Plug Loads
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Case Study: Selected Plug Loads
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Lighting – Hourly Load
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Analytic Approach
Consolidation Fine-scale daily data is incredibly interesting
but can become quickly overwhelming. The solution is data consolidation. Data can be collapsed into desired time intervals:
hourly, daily, weekly, monthly, yearly
Data can be aggregated by end use across sites
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DHW Load Shape – Hourly (Weekday)
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Refrigerator Load Shape - Hourly
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Refrigerator Load Shape – Daily
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Analytic Questions
With this dataset we hope to answer the following: How much energy does a device/category consume in one
day, week, month, year? Is there a seasonal dependence of a given load? What are the outdoor temperature dependencies of a given
load? What are the different end use load shapes?
Hourly load shapes over 8760 hours of the year for each device monitored Climate dependent load shapes
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Next Steps
Monitor/manage ongoing data collection Interim Report (Q3 2012) Final Report (Q4 2013) Create focused datasets as needed Oversee testbed
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Questions
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