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Review of the New England

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Use billing analysis methods to develop generalized engineering savings estimate ... Not consistent with PRISM or any of the HDD regressions used in this region ... – PowerPoint PPT presentation

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Title: Review of the New England


1
Review of the New England Mini-Pilot DHP
Evaluation
  • Why we ignore this study

2
General Information
  • Study Goals are to provide a estimation procedure
    for utilities who want to use DHP technologies as
    a efficiency measure
  • Use billing analysis methods to develop
    generalized engineering savings estimate
  • Applied hourly, monthly regression analysis as
    strategy to develop a deemed savings table for
    utility program
  • Includes supplemental fuel impacts as they appear
    in the particular sample
  • Study conducted by KEMA and includes 145 total
    installations
  • 40 sites selected for metering
  • Metering done on space heat and total use
  • Sometime space heat limited to the DHP zone
  • A total of 29 sites of metered data used and 124
    site used for the billing analysis

3
Reported Results
  • Heating savings estimated at about 2500
    kWh/installation.
  • 95-120 kWh/MBTU (rated heating capacity)
  • Developed from temperature regression applied to
    TMY temperatures in individual climates
  • Cooling saving estimated at about 300
    kWh/installation
  • 3-8kWh/MBTU (nominal cooling capacity)
  • Developed from temperature regressions applied to
    various base case cooling equipment with TMY
    temperatures

4
Primary Critiques
  • Heating analysis based on a temperature
    regression.
  • No effort to assess balance point
  • Normalization would occur based only on usage at
    particular temperatures
  • Not consistent with PRISM or any of the HDD
    regressions used in this region
  • Savings normalized to MBTU of heating capacity
  • No evidence or rationale presented for this
    selection
  • Introduces uncertainty in assessing the overall
    savings

5
Conclusions
  • Regression specification introduces substantial
    error
  • Use of this method to generalize to annual
    climate without simulation or some sort of
    engineering calculation is uncertain
  • The std. error or any other indicator of the
    quality of the model is absent
  • R2 not reported except in aggregates and not very
    good at that
  • This method and result unlikely to produce
    generalized savings results
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