Performance Modeling of Building Energy Usage: Real Data for REAL Savings

  • Eva Urbatsch
Keywords: Energy Usage

Abstract

The Bonneville Power Administration (BPA) has been using a free add-in to common workplace software and two easily available data inputs to verify savings from energy efficiency projects. Regressionbased energy modeling is a technique that uses observed energy use and measured temperature to model behavior of an existing building. These empirical models reflect actual building operations and observed response to temperatures, unlike theoretical energy models (such as eQuest or EnergyPlus) that assume design conditions and ideal operation. Readily obtainable data—energy consumption (such as daily usage from advanced meters or monthly billing data) and recorded outdoor temperature from a nearby airport—are used with a free Excelbased tool called ECAM+ to construct models of baseline and postretrofit energy use. These empirical models describe real-world building energy response to outside air temperature, and can be normalized to typical local temperatures to determine the energy savings from major retrofit projects. They can also help spot operational issues during the project performance period. This modeling technique is especially useful for hard-to-measure, interactive projects such as controls or retrocommissioning, but can be applied to any project with savings expected to be greater than a few percent of whole-building energy use.

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Author Biography

Eva Urbatsch

Eva Urbatsch, P.E., is an energy efficiency engineer under contract to the Bonneville Power Administration. She currently focuses on custom efficiency projects, development of tools to estimate energy efficiency savings for specific applications, and measurement and verification for agricultural and commercial energy efficiency projects. She has been working in energy and water efficiency since 2002. She has an undergraduate degree in (among other things) metallurgical engineering, and a master’s degree in science, technology, and public policy. She can be reached at emurbatsch@bpa.gov.

References

Pacific Northwest Electric Power Planning and Conservation Act. 1980. 16 U.S.C. §839.

ASHRAE. 2002. Measurement of Energy and Demand Savings. ASHRAE Guideline

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Efficiency Valuation Organization (EVO). 2012. International Performance

Measurement and Verification Protocol: Concepts and Options for Determining

Energy and Water Savings Volume 1. EVO 10000—1:2012.

Kissock, J., Haberl, Jeff, and Claridge, David. 2002. Development of a Toolkit for

Calculating Linear, Change-point Linear and Multiple-Linear Inverse Building Energy

Analysis Models. ASHRAE RP-1050.

Published
2015-08-01
Section
Articles