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Baseload Electricity quantify, address, manage 4) Mining patterns for trends, comparisons. Presenter Todd Hoener, LEED a ccredited p rofessional End-use energy specialist Renewable energy program administrator Certified home energy rater & Light commercial energy auditor

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baseload electricity quantify address manage 4 mining patterns for trends comparisons

Baseload Electricityquantify, address, manage4) Mining patterns for trends, comparisons

Presenter

Todd Hoener, LEEDaccredited professional

End-use energy specialist

Renewable energy program administrator

Certified home energy rater & Light commercial energy auditor

Golden Valley Electric Association

Fairbanks, Alaska

907 451 5607 w

[email protected]

2010 Energy OutWest

Reno, Nevada

determining baseload use
Determining baseload use

Separate total annual residential electricity consumption into baseload & seasonal:

  • Review last 12 monthly electric use (kWh).
  • Add 3 or 4 lowest monthly electric use (kWh) (obtained from billing statements).
  • Average monthly electricity usage from these lowest use months (kWh).
  • Multiply calculated monthly baseload average (kWh) by 12 = estimate annual baseload electric use (kWh).

2010 Energy OutWest

Reno, Nevada

baseload calculation example
Baseload calculation example

2010 Energy OutWest

Reno, Nevada

what is normal use
What is “normal” use?

Depends. Lots of variables: Home alone? Everybody home? Operate a business in home? Never home?

There is no “normal” use, but assessments & comparables may be drawn

  • Count up appliances & add up nameplates wattages
  • Monitor usage or control & log actions
  • Spot trends. Compare daily kWh averages & electricity use indexes (annual kWh / s.f.)
  • Start benchmarking (a dynamic activity that continually fine-tunes itself)

2010 Energy OutWest

Reno, Nevada

electricity usage numbers
Electricity usage numbers

2010 Energy OutWest

Reno, Nevada

eow daily kwh average
EOW daily kWh average

2010 Energy OutWest

Reno, Nevada

creating a context for comparing
Creating a context for comparing
  • Focus on baseload use, not total: separate
  • Focus on low-income households (weatherization target)
  • Construct a starting point framework called “benchmarking” using “electricity index” & “daily kWh average” to establish “normal”, “high”, or “low” use
  • This framework should be flexible & dynamic as more information is collected

2010 Energy OutWest

Reno, Nevada

rough electricity use index
Rough electricity use index

Known:

National kWh annual average (US DOE EIA)

Average sizes of detached single family house unit, 2004 (NAHB, Census) and mobile home

Questionable:

Number of housing members?

Electricity use probably not similar in comparables?

Baseload electricity use percentage?

2010 Energy OutWest

Reno, Nevada

rough electricity kwh index
Rough electricity (kWh) index

2010 Energy OutWest

Reno, Nevada

eow states annual kwh averages
EOW states’ annual kWh averages

Starting point for Western region electricity index framework benchmark

2010 Energy OutWest

Reno, Nevada

rough eow region index calc
Rough EOW region index calc

Sampling of “typical” low-income house sizes based on National trends & percentages (Census – thus, all states similar)

Again, no information about household member sizes – which would have affect on electricity use

2010 Energy OutWest

Reno, Nevada

eow electricity indexes
EOW electricity indexes

Benchmarks on “average” typical low-income housing units (detached, rental, mobile home)

“Average” sizes, downsized according to trends

Baseload percent of total assumed 50% (we’ve already seen 75%)

2010 Energy OutWest

Reno, Nevada

eow benchmarks graphed
EOW benchmarks graphed

Assume 50% baseload (we’ve seen higher percent

Assume average housing unit sizes

2010 Energy OutWest

Reno, Nevada

comparing with assumptions
Comparing (with assumptions)

Attempt to carve out a benchmark

Crude attempt; lots unknown

2010 Energy OutWest

Reno, Nevada

energy intensity benchmarking
Energy intensity benchmarking

Energy intensity assessment method

  • Comparing similar building electricity use based on kilowatt-hour/square foot (additionally, per degree days)
  • I.e., energy metric/area/climate over some time period
  • Simplest method = annual kWh/s.f.
  • Pitfalls: Empty vs. occupied houses, number of occupants, occupant behaviors, equipment choices & operation, climate, building design, etc.
  • Benefit: Fast estimate for comparisons

2010 Energy OutWest

Reno, Nevada

comparing with yardstick
Comparing with “Yardstick”

ENERGY STAR attempt to carve out a benchmark & compare use across regions

energystar.gov/index.cfm?fuseaction=HOME_ENERGY_YARDSTICK.showGetStarted

2010 Energy OutWest

Reno, Nevada

section points
Section points
  • Use data to compare, track trends, assume some level of “normal”, “high” or “low” use
  • Calculate daily kilowatt-hour average for benchmarking purposes
  • Determine specific annual kWh use & housing unit area (square feet) to calculate electricity use index for residence & benchmarking purposes
  • Compare between & across similar & different households for local benchmarking

2010 Energy OutWest

Reno, Nevada

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