Streamlining Building Efficiency Evaluation with DOE's Asset Score Preview

Henry Horsey, Nicholas Long, Supriya Goel, Nora Wang, Juan Gonzalez

Research output: Contribution to conferencePaper

Abstract

Building Energy Asset Score (Asset Score), developed by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE), is a tool to help building owners and managers assess the efficiency of a building's energy-related systems and encourage investment in cost-effective improvements. The Asset Score uses an EnergyPlus model to provide a quick assessment of building energy performance with minimum user inputs of building characteristics and identifies upgrade opportunities. Even with a reduced set of user inputs, data collection remains a challenge for wide-spread adoption, especially when evaluating a large number of buildings. To address this, Asset Score Preview was developed to allow users to enter as few as seven building characteristics to quickly assess their buildings before a more in-depth analysis. A streamlined assessment from Preview to full Asset Score provides an easy entry point and also enables users who manage a large number of buildings to screen and prioritize buildings that can benefit most from a more detailed evaluation and possible energy efficiency upgrades without intensive data collection.
Original languageAmerican English
Number of pages12
StatePublished - 2016
Event2016 ACEEE Summer Study on Energy Efficiency in Buildings - Pacific Grove, California
Duration: 21 Aug 201626 Aug 2016

Conference

Conference2016 ACEEE Summer Study on Energy Efficiency in Buildings
CityPacific Grove, California
Period21/08/1626/08/16

Bibliographical note

Available from ACEEE: see http://aceee.org/files/proceedings/2016/data/index.htm

NREL Publication Number

  • NREL/CP-5500-67073

Keywords

  • Building Energy Asset Score
  • building energy performance
  • EnergyPlus

Fingerprint

Dive into the research topics of 'Streamlining Building Efficiency Evaluation with DOE's Asset Score Preview'. Together they form a unique fingerprint.

Cite this