Module 1: Introduction to Advanced Benchmarking

Module 1 Part A – Energy Use in Buildings
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Link to Module 2: Portfolio Manager and FirstView
Link to Module 3: Practicum – From Building Data to Analysis
Link to Module 4: Controls in ZNE Buildings

This section is broken up into four recorded video presentations. Please be ready to take notes and stop the videos as necessary to follow along and answer questions as they are posed by the presenters. By attempting to answer the questions, the effectiveness of this learning tool will greatly increase. Further reading and references noted in the presentations are included in this page. We encourage you to use these resources to explore your specific areas of interest in these topics.

Learning Objectives

  • Understand why it is important to track building energy performance
  • Define energy performance benchmarking in buildings
  • Become familiar with common benchmarking methods and metrics
  • Understand how to generate and apply energy signature analysis
  • Define inverse energy modeling

Video Presentations

Part A Thumbnail
Part A – Energy Use in Buildings
Slides: Module 1 Part A – Energy Use in Buildings


Part B Thumbnail
Part B – Tracking Energy Data – What, Why, How
Slides: Part B – Tracking Energy Data – Why, What, How


Part C Thumbnail
Part C – Energy Signatures
Slides: Part C – Energy Signatures


Part D Thumbnail
art D – Inverse Energy Modeling and FirstView
Slides: Part D – Inverse Energy Modeling and FirstView


Further Reading

U.S. Environmental Protection Agency

The Benefits of Benchmarking Building Performance

How the EnergyStar Score is Calculated

zEPI Scores

FirstView Resources

Key Performance Indicators (KPIs)


Energy Star – Portfolio Manager

CBECS (Commercial Building Energy Consumption Survey)

LBNL Energy Flowchart

U.S. Energy Information Administration

Institute for Market Transformation

Smart Buildings Center: Virtual Energy Auditing Tools



These modules were developed in partnership with South Seattle College for the Sustainable Building Science Technology program.


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This material is based upon work supported by the National Science Foundation under Grant No. 1406320.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.