Easy access to measure-level data from TRMs.

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When planning and evaluating demand-side management (DSM) programs, you need access to a substantial amount of technology-specific data. Technical reference manuals (TRMs) provide the assumptions, calculations, and values you need, but they present their own time-consuming challenges. Where do you find the specific TRM you’re looking for? How do you know it contains the correct measure data? How long does it take you to manually manipulate that data once you’ve found it? Gathering information from TRMs is typically a painstakingly slow, frustrating process. Utilities and DSM Solution Providers can now get the critical measure-level details they need—instantly—with E Source Measure Insights.

 

Measure Insights speeds up program-planning and evaluation time by giving you the data you need at your fingertips. Measure Insights is an online data-analytics platform that indexes the important information found in TRMs—such as technology types, sectors, and technology values (equipment capacity, demand savings, and more)—across states, provinces, and regions. Measure Insights shows you the exact page in the source documents, putting important TRM data within reach and providing context around the measure-level input assumptions on which utilities base their DSM program calculations. You’ll be able to rapidly determine which jurisdictions’ TRMs quantify the savings for the measures you’re working on and see how the specific values compare.

Measure Insights gives you instant access, enabling you to benchmark measure inputs, build accurate energy-savings forecasts, identify data abnormalities for evaluation purposes, and quickly respond to time-consuming regulatory data requests. You can find each measure’s associated values using a variety of robust search filters, including:

  • Energy-efficiency ratios
  • Annual kilowatt-hour savings
  • Effective useful life
  • Annual operating hours

With Measure Insights, you’ll be able to:

  • Benchmark input assumptions for individual measures to build accurate savings forecasts
  • Analyze discrepancies between energy-savings algorithms from similar climate zones to develop defensible evaluations
  • Identify measure consistencies and omissions between TRMs for regulatory validation