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Technology diffusion and energy intensity in US commercial buildings

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  • Andrews, Clinton J.
  • Krogmann, Uta
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    Abstract

    This paper analyzes the 1992 and 2003 US Commercial Buildings Energy Consumption Survey microdata files to show the extent to which certain heating, cooling, lighting, and window technologies are entering use, and the resulting impacts on the intensity of energy use. Excepting the case of fluorescent lights, no technology dominates the entire market but instead each conquers a specific niche. Most of the buildings in which these technologies are installed do not have lower-than-average energy intensity, measured as annual energy use per square meter of floor space. The exceptional technology that does measurably correlate with reduced energy intensity is daylighting. These results suggest that technologies are adopted to serve comfort or quality objectives rather than to save energy, or that buildings' users confound the designers' intentions. Decision makers thus should improve operating and maintenance practices, invest in building commissioning, and rely more heavily on passive design features to save energy.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 2 (February)
    Pages: 541-553

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:2:p:541-553

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    Web page: http://www.elsevier.com/locate/enpol

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    Keywords: Commercial buildings Energy intensity United States;

    References

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    1. Klovdahl, Alden S., 1985. "Social networks and the spread of infectious diseases: The AIDS example," Social Science & Medicine, Elsevier, vol. 21(11), pages 1203-1216, January.
    2. Koomey, Jonathan G & Martin, Nathan C & Brown, Marilyn & Price, Lynn K & Levine, Mark D, 1998. "Costs of reducing carbon emissions: US building sector scenarios," Energy Policy, Elsevier, vol. 26(5), pages 433-440, April.
    3. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    4. Mortimer, N D & Ashley, A & Moody, C A C & Rix, J H R & Moss, S A, 1998. "Carbon dioxide savings in the commercial building sector," Energy Policy, Elsevier, vol. 26(8), pages 615-624, July.
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    Cited by:
    1. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    2. Reiche, Danyel, 2013. "Climate policies in the U.S. at the stakeholder level: A case study of the National Football League," Energy Policy, Elsevier, vol. 60(C), pages 775-784.
    3. Egging, Ruud, 2013. "Drivers, trends, and uncertainty in long-term price projections for energy management in public buildings," Energy Policy, Elsevier, vol. 62(C), pages 617-624.
    4. Jennings, Mark G., 2013. "A smarter plan? A policy comparison between Great Britain and Ireland's deployment strategies for rolling out new metering technologies," Energy Policy, Elsevier, vol. 57(C), pages 462-468.
    5. Liu, Pei & Pistikopoulos, Efstratios N. & Li, Zheng, 2010. "An energy systems engineering approach to the optimal design of energy systems in commercial buildings," Energy Policy, Elsevier, vol. 38(8), pages 4224-4231, August.

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