2026-09-21T04:19:25Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1570202024-09-25T03:57:02Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Knittel, Christopher R.
Raghavan, Manish
Ha, Lan L.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Technology and Policy Program
2024-09-24T18:27:10Z
2024-09-24T18:27:10Z
2024-05
2024-07-25T14:17:38.094Z
https://hdl.handle.net/1721.1/157020
This thesis aims to investigate the effectiveness of low-cost interventions in promoting energy conservation in commercial and residential environments. The first chapter employs social norms to design and analyze three behavioral change programs in a large biopharmaceutical company, with a focus on reducing electricity consumption and plastic waste. The second chapter evaluates the effectiveness of a new behavioral initiative that aims to reduce residential electric and gas consumption. We employ econometric and machine learning techniques to measure average and heterogeneous treatment effects, as well as to identify disparities in households with the highest versus lowest reductions. Covering the process from designing to evaluation, these chapters collectively offer a holistic perspective on the application of low-cost behavioral nudges in both workplace and residential energy usage. The implications drawn from our findings hold significant relevance for corporations, utilities, households, policymakers, and researchers alike, offering invaluable insights in promoting sustainable practices in both the workplace and the home.
S.M.
S.M.
Massachusetts Institute of Technology
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Copyright retained by author(s)
https://creativecommons.org/licenses/by-nc-nd/4.0/
Empowering Energy Conservation: Low-Cost Interventions for Commercial and Residential Settings
Thesis
application/pdf
Master
Master of Science in Technology and Policy
Master of Science in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<Abstract>This thesis aims to investigate the effectiveness of low-cost interventions in promoting energy conservation in commercial and residential environments. The first chapter employs social norms to design and analyze three behavioral change programs in a large biopharmaceutical company, with a focus on reducing electricity consumption and plastic waste. The second chapter evaluates the effectiveness of a new behavioral initiative that aims to reduce residential electric and gas consumption. We employ econometric and machine learning techniques to measure average and heterogeneous treatment effects, as well as to identify disparities in households with the highest versus lowest reductions. Covering the process from designing to evaluation, these chapters collectively offer a holistic perspective on the application of low-cost behavioral nudges in both workplace and residential energy usage. The implications drawn from our findings hold significant relevance for corporations, utilities, households, policymakers, and researchers alike, offering invaluable insights in promoting sustainable practices in both the workplace and the home.</Abstract>
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