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Is there a case for different baselines for diverse population groups?

Created 5/15/2019 by Nic Lane
Updated 5/20/2019 by Carol Lindstrom
51 views • 1 comment

As data collection and analytical sophistication increases, EE practitioners are gaining the capability to apply different baselines and savings based on more refined geographic and demographic knowledge.

But should they?

This session explored the state of the data as it is, and what more the EE community would need to be effective if they chose to go down this path. Perhaps more importantly, the panel examined the case for endeavoring to more accurately quantify savings for programs that targets the markets that are traditionally underserved by EE.

Different baselines matter for several reasons, including:

  • Equity – certain demographic groups may be underserved, not considered in current measure designs or unable to access current measures.
  • Savings – underserved groups may actually have higher savings per unit than the overall market average, in this case it makes economic sense to focus on these populations.
  • Reach – serving all customers and achieving all cost-effective savings may require different measures and different strategies than those in current practice.

Kenji Spielman, Energy Trust of Oregon

Alex Novie, Energy Trust of Oregon

Dan Rubado, Energy Trust of Oregon

Ryan Brown, NEEA

Jennifer Light, Northwest Power and Conservation Council

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Comments (1)
Carol Lindstrom on 05/20/19 on 05:54 AM (Pacific Time)
A PDF of the full presentation for this session can be found here.

This resource is Public

Sector: Non-Sector Specific
Function: Non-Function Specific

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