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Title: Analysis of Energy Saving Impacts of New Residential Energy Codes for the Gulf Coast

Abstract

At the request of the Government Accountability Office (GAO), DOE’s Building Energy Codes Program performed an analysis of the energy savings and cost impacts associated with the use of newer and more efficient residential building energy codes in the states of Louisiana and Mississippi.

Authors:
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
939050
Report Number(s):
PNNL-16265
BT0102000; TRN: US200821%%382
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; CONSTRUCTION; ECONOMIC IMPACT; ENERGY ACCOUNTING; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY EFFICIENCY STANDARDS; POTENTIAL ENERGY; RESIDENTIAL BUILDINGS; SPECIFICATIONS; US GULF COAST; buildings; energy; codes; Katrina

Citation Formats

Lucas, Robert G. Analysis of Energy Saving Impacts of New Residential Energy Codes for the Gulf Coast. United States: N. p., 2007. Web. doi:10.2172/939050.
Lucas, Robert G. Analysis of Energy Saving Impacts of New Residential Energy Codes for the Gulf Coast. United States. doi:10.2172/939050.
Lucas, Robert G. Mon . "Analysis of Energy Saving Impacts of New Residential Energy Codes for the Gulf Coast". United States. doi:10.2172/939050. https://www.osti.gov/servlets/purl/939050.
@article{osti_939050,
title = {Analysis of Energy Saving Impacts of New Residential Energy Codes for the Gulf Coast},
author = {Lucas, Robert G.},
abstractNote = {At the request of the Government Accountability Office (GAO), DOE’s Building Energy Codes Program performed an analysis of the energy savings and cost impacts associated with the use of newer and more efficient residential building energy codes in the states of Louisiana and Mississippi.},
doi = {10.2172/939050},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Technical Report:

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