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Northwest Ductless Heat Pump Pilot Project Impact & Process Evaluation: Billing Analysis. Ecotope, Inc. February 20 , 2013. Agenda . Introduction Research Objectives Recap of Metering Results Methodology Highlights of Findings Conclusions Q & A. Introduction.
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Northwest Ductless Heat Pump Pilot ProjectImpact & Process Evaluation: Billing Analysis Ecotope, Inc. February20, 2013
Agenda Introduction Research Objectives Recap of Metering Results Methodology Highlights of Findings Conclusions Q & A
Billing Analysis Research Objectives • Assess the overall savings and the space heating savings from the DHP installations in the pilot project • Establish savings in electric space heating brought on by this equipment • Determine the impact of occupancy and other “takeback” effects on observed savings • Assess the impact of supplemental fuels on DHP savings • Confirm results of previous metering study and lab testing
Metered Analysis Summary • Total savings derived from the heat output of the DHP • Billing savings derived from the pre and post installation bills and metered heating use • Simple regression analysis (CDA) to develop determinants of savings • SEEM calibration based on metered and baseline heating estimates • Temperature adjustments, 66.8° to 69.5° • Calibrated to heating energy use and savings
Data Collection • Bills requested for all pilot sites (3,899) • 3,748 sites received, 3,629 sites with useable pre and post installation records • PRISM (VBDD) analysis • Estimated heating energy, savings with DHP installation • Include R2 measure of the quality of the heating estimate • All sites that had adequate bills evaluated • Installation questionnaire • House size and customer demographics • Supplemental heating • Installation cost
Supplemental Fuels • High incidence of supplemental fuels in pilot program • Overall 33.2% of participants report supplemental fuels • RBSA region wide electric heat customers report 35.9% reported supplemental fuels • Clear indications of large impact on savings • Larger incidence of supplemental fuel use in Eastern market clusters • Western Montana 67% • Other rural areas (Western and Eastern) wood heat saturation of ~40% • Supplemental fuels assigned based on installation questionnaire • Similar to the screening process in selecting the metering sample
CDA Regression • Specified as an alternative to screening • n=3621 • Use robust regression specs to reduce impact of scatter • Specification: SHsaved=c1SHpre+c2SuppFuel+C c1 and c2: estimated coefficients C: constant term
Definitions of CDA Variables • The coefficient on pre-installation space heat (c1) predicts the space heating savings (controlling for other factors). • The coefficient on supplemental fuel use (c2) predicts reduction in savings. • The constant term accounts for the other factors that reduce savings (thermostat settings, erratic occupancy, etc.). • Supplemental fuels coefficient and the constant term account for the savings reduction due to occupant effects: non-energy and supplemental fuel benefits.
Regression Results SHsaved=c1SHpre+c2SuppFuel+C
CDA Observations • CDA regression recovers the mean savings estimated • The CDA analysis conducted on themetered sample: • c1= .470 for western climates .240 for eastern climates • c2 is essentially zero (the sample was screened) • Constant term in this sample is zero • 20% difference between the billing analysis results and measured DHP heat output
Conclusions • Once similar screening for supplemental heat is done: results agree with metered analysis results. • Supplemental fuels reduce savings ~1000 kWh • W. Montana requires more severe adjustments • The impact of DHP on space heat without the take back effects: • 48% in the western climates • 22% in the eastern climates • Program design may need to be modified for more severe climates