skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock

Abstract

Building simulations are increasingly used in various applications related to energy efficient buildings. For individual buildings, applications include: design of new buildings, prediction of retrofit savings, ratings, performance path code compliance and qualification for incentives. Beyond individual building applications, larger scale applications (across the stock of buildings at various scales: national, regional and state) include: codes and standards development, utility program design, regional/state planning, and technology assessments. For these sorts of applications, a set of representative buildings are typically simulated to predict performance of the entire population of buildings. Focusing on the U.S. single-family residential building stock, this paper will describe how multiple data sources for building characteristics are combined into a highly-granular database that preserves the important interdependencies of the characteristics. We will present the sampling technique used to generate a representative set of thousands (up to hundreds of thousands) of building models. We will also present results of detailed calibrations against building stock consumption data.

Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
OSTI Identifier:
1344761
Report Number(s):
NREL/CP-5500-65753
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the ASHRAE and IBPSA-USA SimBuild 2016 Building Performance Modeling Conference, 8-12 August 2016, Salt Lake City, Utah
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; building; stock; energy; modeling; residential

Citation Formats

None. A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock. United States: N. p., 2016. Web.
None. A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock. United States.
None. 2016. "A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock". United States. doi:.
@article{osti_1344761,
title = {A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock},
author = {None},
abstractNote = {Building simulations are increasingly used in various applications related to energy efficient buildings. For individual buildings, applications include: design of new buildings, prediction of retrofit savings, ratings, performance path code compliance and qualification for incentives. Beyond individual building applications, larger scale applications (across the stock of buildings at various scales: national, regional and state) include: codes and standards development, utility program design, regional/state planning, and technology assessments. For these sorts of applications, a set of representative buildings are typically simulated to predict performance of the entire population of buildings. Focusing on the U.S. single-family residential building stock, this paper will describe how multiple data sources for building characteristics are combined into a highly-granular database that preserves the important interdependencies of the characteristics. We will present the sampling technique used to generate a representative set of thousands (up to hundreds of thousands) of building models. We will also present results of detailed calibrations against building stock consumption data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.
  • The findings of this study indicate that potential exists in non-building applications to save energy and costs. This potential could save billions of federal dollars, reduce reliance on fossil fuels, increase energy independence and security, and reduce greenhouse gas emissions. The Federal Government has nearly twenty years of experience with achieving similar energy cost reductions, and letting the energy costs savings pay for themselves, by applying energy savings performance contracts (ESPC) inits buildings. Currently, the application of ESPCs is limited by statute to federal buildings. This study indicates that ESPCs can be a compatible and effective contracting tool for achievingmore » savings in non-building applications.« less
  • The Facility Energy Decision System (FEDS) is a building energy modeling tool developed by Pacific Northwest National Laboratory. It is adept at modeling multiple buildings at once while measuring the interactive effects of all building systems, including total energy consumption, peak demand, and life-cycle costs. These data are used by the model to suggest appropriate retrofits for a site. Additionally, the results can be utilized to simulate metered data or estimate site-specific project savings that otherwise are not addressed by FEDS. The results helped one site to realistically allocate fuel consumption charges to tenants, since there were no meters tomore » rely on. To help verify energy savings of a retrofit project at another site with a completed FEDS analysis, the FEDS results provided a baseline energy use for the current building configuration, and then a modified version of the original model provided the post-retrofit energy consumption. Ideally, meters would be in place to help solve these issues, but using FEDS is a valid option when metering equipment is not available or practical.« less
  • This report is an assessment of 135 different heating, ventilation, and air-conditioning (HVAC) technologies for U.S. residential buildings to identify and provide analysis on 19 priority technology options in various stages of development. The analyses include an estimation of technical energy-savings potential, descriptions of technical maturity, descriptions of non-energy benefits, descriptions of current barriers for market adoption, and descriptions of the technology's applicability to different building or HVAC equipment types. From these technology descriptions, are suggestions for potential research, development and demonstration (RD&D) initiatives that would support further development of the priority technology options.