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RBSA Metering Interim Presentation

RBSA Metering Interim Presentation. Ecotope, Inc. July 17, 2012. Agenda . Introduction/Overview Sample Metered end uses Early look at the data Next steps. Timeline and Deliverables. Residential Building Stock Assessment - Metering. 2 year whole-home metering study

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RBSA Metering Interim Presentation

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  1. RBSA Metering Interim Presentation Ecotope, Inc. July 17, 2012

  2. Agenda Introduction/Overview Sample Metered end uses Early look at the data Next steps

  3. Timeline and Deliverables

  4. 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

  5. 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)

  6. 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

  7. Overall Study Architecture

  8. 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

  9. Site Locations

  10. 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

  11. Whole Home • Service entry (all electricity to home) • Indoor temperature (main living area) • Outdoor temperature

  12. 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

  13. Domestic Hot Water • 60 electric & 41 gas tank water heaters • No on-demand systems

  14. Appliances • Refrigerators (123) • Dishwashers • Freezers • Clothes washers • Clothes dryers • Ranges • Well pumps • Spas

  15. Plug Loads • TVs (160) • Cable boxes • Gaming consoles • Other TV accessories • Computers (103) • Computer peripherals • Space heaters

  16. Lighting • Average of 19 fixture groups per home • On/off cycles, fixture wattage

  17. We’ve Got One… • Nissan Leaf • Wine cooler • Elliptical trainer • Refrigerated drinking fountain • Fish tank

  18. Preliminary Findings • Case Study • Analytic Approach • Interim Metered Data

  19. Case Study: Large Loads

  20. Case Study: Plug Loads

  21. Case Study: Selected Plug Loads

  22. Lighting – Hourly Load

  23. 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

  24. DHW Load Shape – Hourly (Weekday)

  25. Refrigerator Load Shape - Hourly

  26. Refrigerator Load Shape – Daily

  27. 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

  28. Next Steps • Monitor/manage ongoing data collection • Interim Report (Q3 2012) • Final Report (Q4 2013) • Create focused datasets as needed • Oversee testbed

  29. Questions

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