Transcript RBSA Metering Interim Presentation Ecotope, Inc. July 17, 2012 NORTHWEST ENERGY EFFICIENCY ALLIANCE.

RBSA Metering Interim Presentation
Ecotope, Inc.
July 17, 2012
NORTHWEST ENERGY EFFICIENCY ALLIANCE
Agenda
Introduction/Overview
Sample
Metered end uses
Early look at the data
Next steps
2
Timeline and Deliverables
Deliverable/Milestone
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
3
Date
2-5 years
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
4
Residential Building Stock Assessment - Metering
 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)
5
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
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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)
7
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
E. Washington
16
Idaho
14
Montana
5
Puget Sound
36
W. Oregon
30
Total
9
Sample
101
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
10
Whole Home
 Service entry (all electricity to home)
 Indoor temperature (main living area)
 Outdoor temperature
11
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
14
Plug Loads
 TVs (160)
 Cable boxes
 Gaming consoles
 Other TV accessories
 Computers (103)
 Computer peripherals
 Space heaters
15
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
17
Preliminary Findings
Case Study
Analytic Approach
Interim Metered Data
18
Case Study: Large Loads
19
Case Study: Plug Loads
20
Case Study: Selected Plug Loads
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Lighting – Hourly Load
22
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
28
Questions
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