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Agent-based assessment framework for behavior-changing feedback devices : spreading of devices and heating behavior

  • Heating behavior of households is key for reducing domestic energy demand and mitigating climate change. Recently, various technical devices have been developed, providing households with feedback on their heating behavior and supporting energy conservation behavior. The impact of such devices on overall energy consumption depends on (1) the impact of a device within a household, (2) the diffusion of devices to other households and the number of adopters, and (3) the diffusion of the induced behavioral change beyond these households. While the first two processes are currently established in assessments of sustainable household devices, we suggest that adding behavior diffusion is essential when assessing devices that explicitly targetHeating behavior of households is key for reducing domestic energy demand and mitigating climate change. Recently, various technical devices have been developed, providing households with feedback on their heating behavior and supporting energy conservation behavior. The impact of such devices on overall energy consumption depends on (1) the impact of a device within a household, (2) the diffusion of devices to other households and the number of adopters, and (3) the diffusion of the induced behavioral change beyond these households. While the first two processes are currently established in assessments of sustainable household devices, we suggest that adding behavior diffusion is essential when assessing devices that explicitly target behavioral change. We therefore propose an assessment framework that includes all three processes. We implement this framework in an agent-based model by combining two existing simulation models to explore the effect of adding behavior diffusion. In three simulation experiments, we identify two mechanisms by which behavior diffusion (1) spreads the effect of such devices from adopters to non-adopters and (2) increases the average speed of behavioral change of households. From these results we conclude that behavior diffusion should be included in assessments of behavior-changing feedback devices.show moreshow less

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Metadaten
Document Type:Peer-Reviewed Article
Author:Thorben Jensen, Georg HoltzORCiDGND, Emile J. L. Chappin
URN (citable link):https://nbn-resolving.org/urn:nbn:de:bsz:wup4-opus-59546
Year of Publication:2015
Language:English
Source Title (English):Technological forecasting and social change
DOI:https://doi.org/10.1016/j.techfore.2015.06.006
Volume:98
First Page:105
Last Page:119
Release Date:2015/07/20
Division:Zukünftige Energie- und Mobilitätsstrukturen
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
OpenAIRE:OpenAIRE
Licence:License LogoCreative Commons - Namensnennung