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National WAP Evaluation: Savings and Opportunities for Baseload Electric. David Carroll APPRISE. Presentation Overview. WAP PY 2008 Electric Baseload Installation Rates WAP PY 2008 Electric Baseload Savings Estimates Opportunities – Electric Usage by Low Income Households
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National WAP Evaluation: Savings and Opportunities for Baseload Electric David Carroll APPRISE
Presentation Overview • WAP PY 2008 Electric Baseload Installation Rates • WAP PY 2008 Electric Baseload Savings Estimates • Opportunities – Electric Usage by Low Income Households • Missed Opportunities – Behavior Related Savings Opportunities
Electric Baseload Measure Installation Rates by Climate Zone
Electric Baseload Measure Installation Rates by Building Type
Refrigerator Replacement • PY 2008 Installation Rate • 17% of weatherization clients • 2005 RECS Data: • Households with refrigerator 20 years or older = 14% • Households with refrigerator 10-19 years = 24% • 20 Years or older will be pre 1992 and have highest savings potential
CFL Installation • PY 2008 Installation Rate • 60% of weatherization clients • 2005 RECS Data: • Households with 1 or more CFLs = 31%
2005 Electric usage by low income households in single family homes
Electric Usage – Low Income Single Family with Gas Main Heating Fuel
Missed opportunities – behavior related electric energy savings
Dehumidifier • Incidence • 6% of low income households have a dehumidifier • Potential Savings • 2 kWh per day * 180 days = 360 kWh
Projection TV • Incidence • 18% of low income households have a large screen tv • Potential Savings • 20 W per hour * 12 hours = 240 Wh • .24 kWh per day * 365 days = 91.25 kWh
Projections vs. Impacts • Basic Projection Methodology • Assumptions • Measure installation rates • Measure retention rates • Pre installation usage • Measure effectiveness
Projections vs. Impacts • Basic Projection Methodology • Calculation • Average household saving = Measure Installation Rate * Measure Retention Rate * (Pre Installation Usage – Post Installation Usage)
Projections vs. Impacts • Basic Projection Methodology • Calculation • Pre Installation Usage per bulb per hour = 60 watts * .001 = .06 kWh • Post Installation Usage per bulb per hour = 13 watts * .001 = .013 kWh • Change per Bulb per hour =.06 - .013 = .047 kWh
Projections vs. Impacts • Basic Projection Methodology • Calculation • Change per bulb per day = .047 kWh * 2.5 hours/day = .1175 kWh/day • Change per bulb per year = . 1175 kWh/day * 365 days = 43 kWh/year
Projections vs. Impacts • Basic Projection Methodology • Calculation • Number installed per home = 43 kWh * 8 bulbs = 344 kWh • Retention rate = 344 kWh *.8 = 275 kWh saved per home per year
Projections vs. Impacts So simple, what could go wrong… • Incorrect assumptions • Measure installation rate • Measure retention rate • Bulbs left for occupants to install • Bulbs removed • Bulbs broken • Existing bulb kWh • Hours of use
Projections vs. Impacts So simple, what could go wrong… • Interactions • Adding up individual measure savings can overstate results • Need to account for reduced heat gain from CFLs • Increase heating usage • Reduce cooling usage