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    Impact of Social Network Type and Structure on Modeling Normative Energy Use Behavior Interventions

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    Author:
    Kyle Anderson
    ,
    SangHyun Lee
    ,
    Carol Menassa
    DOI: 10.1061/(ASCE)CP.1943-5487.0000314
    Publisher: American Society of Civil Engineers
    Abstract: Occupant behavior has a substantial impact on the total energy consumption in buildings. To reduce consumption much work has been done investigating behavioral energy-use interventions (e.g., feedback). Being able to accurately identify effective interventions for specific buildings or communities of buildings based on local conditions has significant implications for reducing energy consumption and demand in buildings. Therefore, recently researchers have begun developing predictive models of these behavioral interventions. However, limited consideration has been given to the importance that modeling assumptions (regarding social network type and structure) have in determining impact on intervention outcome. In this paper, an integrated model that combines established social-psychological principles of social influence and cultural norm diffusion with building social network profiles is developed and tested to examine the effect of social network type and structure on interventions. The writers apply agent-based modeling to simulate the interactions of heterogeneous building occupants in their respective social networks to examine the importance of social network type and structure for two interventions, as follows: (1) installing a peer energy-use feedback system, and (2) installing a feedback system and inserting an intervening agent into the building. The results indicate that network type and structure can have a significant effect on the time required for occupant energy-use intervention outcomes to reach a state of equilibrium. Thus, when modeling and selecting behavioral interventions, expected interventions outcomes should not be assumed based solely on generalized results from other studies, but consideration must be given to specific social network properties.
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      Impact of Social Network Type and Structure on Modeling Normative Energy Use Behavior Interventions

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    contributor authorKyle Anderson
    contributor authorSangHyun Lee
    contributor authorCarol Menassa
    date accessioned2017-05-08T21:40:58Z
    date available2017-05-08T21:40:58Z
    date copyrightJanuary 2014
    date issued2014
    identifier other%28asce%29cp%2E1943-5487%2E0000321.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59296
    description abstractOccupant behavior has a substantial impact on the total energy consumption in buildings. To reduce consumption much work has been done investigating behavioral energy-use interventions (e.g., feedback). Being able to accurately identify effective interventions for specific buildings or communities of buildings based on local conditions has significant implications for reducing energy consumption and demand in buildings. Therefore, recently researchers have begun developing predictive models of these behavioral interventions. However, limited consideration has been given to the importance that modeling assumptions (regarding social network type and structure) have in determining impact on intervention outcome. In this paper, an integrated model that combines established social-psychological principles of social influence and cultural norm diffusion with building social network profiles is developed and tested to examine the effect of social network type and structure on interventions. The writers apply agent-based modeling to simulate the interactions of heterogeneous building occupants in their respective social networks to examine the importance of social network type and structure for two interventions, as follows: (1) installing a peer energy-use feedback system, and (2) installing a feedback system and inserting an intervening agent into the building. The results indicate that network type and structure can have a significant effect on the time required for occupant energy-use intervention outcomes to reach a state of equilibrium. Thus, when modeling and selecting behavioral interventions, expected interventions outcomes should not be assumed based solely on generalized results from other studies, but consideration must be given to specific social network properties.
    publisherAmerican Society of Civil Engineers
    titleImpact of Social Network Type and Structure on Modeling Normative Energy Use Behavior Interventions
    typeJournal Paper
    journal volume28
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000314
    treeJournal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    contenttypeFulltext
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