RBSA Metering Interim Presentation

NORTHWEST ENERGY EFFICIENCY ALLIANCE

RBSA Metering Interim Presentation

Ecotope, Inc.July 17, 2012

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Agenda

Introduction/OverviewSampleMetered end usesEarly look at the dataNext steps

Timeline and Deliverables

Deliverable/Milestone DateInstallations complete Dec. 29, 2011First data collection visit complete Mar. 31, 2012Interim report Q3 2012First year of metering complete Q1 2013Final report and dataset Q4 2013Continued 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 Plan4

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 Instrument

ed (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 StudyAnalytic ApproachInterim 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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