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Analysis of Pre-Retrofit Building and Utility Data - Southeast United States

Published by Ibacos Innovation | Department of Energy | Metadata Last Checked: January 27, 2026 | Last Modified: 2025-07-22T14:55:08Z
This project delves into the workflow and results of regression models on monthly and daily utility data (meter readings of electricity consumption), outlining a process for screening and gathering useful results from inverse models. Energy modeling predictions created in Building Energy Optimization software (BEopt) Version 2.0.0.3 (BEopt 2013) are used to infer causes of differences among similar homes. This simple data analysis is useful for the purposes of targeting audits and maximizing the accuracy of energy savings predictions with minimal costs. The data for this project are from two adjacent military housing communities of 1,166 houses in the southeastern United States. One community was built in the 1970s, and the other was built in the mid-2000s. Both communities are all electric; the houses in the older community were retrofitted with ground source heat pumps in the early 1990s, and the newer community was built to an early version of ENERGY STAR with air source heat pumps. The houses in the older community will receive phased retrofits (approximately 10 per month) in the coming years. All houses have had daily electricity metering readings since early 2011. This project explores a dataset at a simple level and describes applications of a utility data normalization. There are far more sophisticated ways to analyze a dataset of dynamic, high resolution data; however, this report focuses on simple processes to create big-picture overviews of building portfolios as an initial step in a community-scale analysis. TO4 9.1.2: Comm. Scale Military Housing Upgrades

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Complete Metadata
@type dcat:Dataset
accessLevel public
bureauCode 
                                            [
  "019:20"
]
contactPoint 
                                            {
  "fn": "Robert Beach",
  "@type": "vcard:Contact",
  "hasEmail": "mailto:rbeach@ibacos.com"
}
dataQuality 
                                            true
description This project delves into the workflow and results of regression models on monthly and daily utility data (meter readings of electricity consumption), outlining a process for screening and gathering useful results from inverse models. Energy modeling predictions created in Building Energy Optimization software (BEopt) Version 2.0.0.3 (BEopt 2013) are used to infer causes of differences among similar homes. This simple data analysis is useful for the purposes of targeting audits and maximizing the accuracy of energy savings predictions with minimal costs. The data for this project are from two adjacent military housing communities of 1,166 houses in the southeastern United States. One community was built in the 1970s, and the other was built in the mid-2000s. Both communities are all electric; the houses in the older community were retrofitted with ground source heat pumps in the early 1990s, and the newer community was built to an early version of ENERGY STAR with air source heat pumps. The houses in the older community will receive phased retrofits (approximately 10 per month) in the coming years. All houses have had daily electricity metering readings since early 2011. This project explores a dataset at a simple level and describes applications of a utility data normalization. There are far more sophisticated ways to analyze a dataset of dynamic, high resolution data; however, this report focuses on simple processes to create big-picture overviews of building portfolios as an initial step in a community-scale analysis. TO4 9.1.2: Comm. Scale Military Housing Upgrades
distribution 
                                            [
  {
    "@type": "dcat:Distribution",
    "title": "Analysis of Pre-Retrofit Building and Utlility Data",
    "format": "pdf",
    "accessURL": "https://www1.eere.energy.gov/buildings/publications/pdfs/building_america/analysis-pre-building-utility-data.pdf",
    "mediaType": "application/pdf",
    "description": "Publication detailing the project and project methods for more information. "
  },
  {
    "@type": "dcat:Distribution",
    "title": "Parametric HPXML Zipped.zip",
    "format": "zip",
    "mediaType": "application/zip",
    "description": "Archive of BEopt Building Files for home performance characteristics.",
    "downloadURL": "https://data.openei.org/files/5239/TO4%209.1.2_Parametric%20HPXML%20Zipped.zip"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 05.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 125.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml05.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 04.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 196.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml04.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 02.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 27.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml02.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 00.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 36.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml00.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 01.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 38.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml01.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 03.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 61.",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml03.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Asset Data 06.xml",
    "format": "xml",
    "mediaType": "text/xml",
    "description": "BEopt Building File for home performance characteristics. House count: 62. ",
    "downloadURL": "https://data.openei.org/files/5239/bat04091assetdataxml06.xml"
  },
  {
    "@type": "dcat:Distribution",
    "title": "IBACOS FTP Data Descriptions.xlsx",
    "format": "xlsx",
    "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
    "description": "Description of submitted files. The data in this submission pertains to TO4 9.1.2 ",
    "downloadURL": "https://data.openei.org/files/5239/IBACOS_FTP%20Data%20Descriptions.xlsx"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Beopt Hourly Output M1.zip",
    "format": "zip",
    "mediaType": "application/zip",
    "description": "Hourly output files from the BEopt hpxml parametric files.",
    "downloadURL": "https://data.openei.org/files/5239/TO4%209.1.2_Beopt%20Hourly%20Output_M1%20Zipped.zip"
  },
  {
    "@type": "dcat:Distribution",
    "title": "General Files Zipped.zip",
    "format": "zip",
    "mediaType": "application/zip",
    "description": "Zip File of General Information.",
    "downloadURL": "https://data.openei.org/files/5239/TO4%209.1.2_General%20Files%20Zipped.zip"
  }
]
identifier https://data.openei.org/submissions/5239
issued 2016-04-27T06:00:00Z
keyword 
                                            [
  "ASHRAE Guideline 14",
  "BEopt",
  "BuildingAmerica",
  "HERS",
  "Inverse Modeling Toolkit",
  "all climate",
  "building",
  "building america",
  "building energy optimization",
  "cold",
  "community",
  "consumption",
  "data",
  "data modeling",
  "efficiency",
  "energy modeling",
  "energy savings",
  "existing home",
  "hot dry",
  "hot humid",
  "marine",
  "mixed humid",
  "model",
  "multifamily",
  "new construction",
  "normalization",
  "raw data",
  "residential",
  "retrofit",
  "single family",
  "sliding regression",
  "utility data",
  "very cold",
  "weather normalization"
]
landingPage https://data.openei.org/submissions/5239
license https://creativecommons.org/licenses/by/4.0/
modified 2025-07-22T14:55:08Z
programCode 
                                            [
  "019:002"
]
projectNumber FY14 AOP 1.9.1.19
projectTitle Building America
publisher 
                                            {
  "name": "Ibacos Innovation",
  "@type": "org:Organization"
}
spatial 
                                            "{"type":"Polygon","coordinates":[[[-94.51390000000004,24.5873],[-73.38726875,24.5873],[-73.38726875,39.70234746556098],[-94.51390000000004,39.70234746556098],[-94.51390000000004,24.5873]]]}"
title Analysis of Pre-Retrofit Building and Utility Data - Southeast United States

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