Bounded decision making and analytical biases in demand side management

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Demand side management (DSM) programs across the United States commonly approach barriers to energy efficiency through technical/economic means and evaluate their impact through technical/economic analysis. To the extent that non-technical barriers exist and influence decision making, they complicate the expected capture of savings. Two utility DSM projects -- Pacific Gas and Electric`s Advanced Customer Technology Test for Maximum Energy Efficiency (ACT{sup 2}) and Bonneville Power Administration`s Energy Edge -- serve as case studies to illustrate how non-technical barriers to specific energy-efficiency measures (EEMs) can limit technical conservation potential. An analysis of rejected EEMs suggest that lessons about non-technical barriers to ... continued below

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9 p.

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Janda, K.B. August 1, 1994.

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Description

Demand side management (DSM) programs across the United States commonly approach barriers to energy efficiency through technical/economic means and evaluate their impact through technical/economic analysis. To the extent that non-technical barriers exist and influence decision making, they complicate the expected capture of savings. Two utility DSM projects -- Pacific Gas and Electric`s Advanced Customer Technology Test for Maximum Energy Efficiency (ACT{sup 2}) and Bonneville Power Administration`s Energy Edge -- serve as case studies to illustrate how non-technical barriers to specific energy-efficiency measures (EEMs) can limit technical conservation potential. An analysis of rejected EEMs suggest that lessons about non-technical barriers to specific energy-efficiency measures (EEMs) can limit technical conservation potential. An analysis of rejected EEMs suggests that lessons about non-technical barriers may be lost or obscured because of the predominant focus on technical/economic criteria over social, institutional, or cultural constraints. These findings support the need for different evaluation methodologies and further social science research devoted to understanding the non-technical barriers confronted by DSM project participants.

Physical Description

9 p.

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OSTI as DE95016444

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  • American Council for Energy-Efficient Economy (ACEEE) summer conference, Asilomar, CA (United States), 28 Aug - 3 Sep 1994

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  • Other: DE95016444
  • Report No.: LBL--36523
  • Report No.: CONF-9408169--11
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 100420
  • Archival Resource Key: ark:/67531/metadc624501

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  • August 1, 1994

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  • June 16, 2015, 7:43 a.m.

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  • April 4, 2016, 9:05 p.m.

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Janda, K.B. Bounded decision making and analytical biases in demand side management, article, August 1, 1994; California. (digital.library.unt.edu/ark:/67531/metadc624501/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.