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dc.contributor.advisorSanjay E. Sarma.en_US
dc.contributor.authorDonnelly, Kathy A. (Kathy Ann)en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.coverage.spatialn-us-cten_US
dc.date.accessioned2013-09-24T18:22:21Z
dc.date.available2013-09-24T18:22:21Z
dc.date.copyright2013en_US
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/80895
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 152-164).en_US
dc.description.abstractThis thesis considers behavior change strategies to increase CT residential energy efficiency uptake in the context of an action research pilot. Action research includes experimental pilot deployment within a realworld system, continuously analyzing customers participating in their daily lives. The approach allows for simultaneous planning, execution, and evaluation, as well as concurrent development of major program changes, real-time solutions, and innovative responses. The Connecticut Neighbor to Neighbor Energy Challenge (N2N), in which my research was conducted, was designed to determine the minimum conditions necessary to administer cost-effective community and behavior-based energy efficiency programs. Customers in 14 small towns complete energy savings actions, such as efficient lighting, weatherization, and upgrades, like insulation, appliance upgrades, advanced air sealing, and renewable energy installations. N2N meets customers where they are already going (e.g., in the field) by partnering with local community groups, town governments, low income and senior organizations, faith communities, education facilities, and business organizations, and using social and earned media channels. I describe the N2N opportunity; program design, execution, and evaluation; primary behavioral research, especially the DOE Home Energy Score behavioral economics experiment; and the post-grant transition process. Four main pilot implementation components were used, including: lead generation using behavioral marketing, research, and outreach approaches; a technology platform closely tracking the customer; a continuous process of evaluation; and frequently published results dashboards. The research discovered gaps in program performance that will hinder meeting CT's long-term energy, efficiency, and carbon reduction goals. N2N is also finding evidence of increasing rates of upgrade uptake, where word of mouth and self-herding (e.g., where people follow past behavior) leads to action for others, as well as additional actions in individual households, respectively. The research finds two main recommendations for CT energy efficiency programs: 1) Continue to fund fast-paced, testing grounds for efficiency programs outside of current regulatory constraints to: inform program design and policy decisions, as well as direct market innovation, and 2) Use social and behavioral approaches to encourage viral spreading of efficiency uptake.en_US
dc.description.statementofresponsibilityby Kat A. Donnelly.en_US
dc.format.extent255 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleEmpowering consumers to reduce residential energy waste : designing, implementing, and evaluating the Connecticut neighbor to Neighbor Energy Challengeen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc858279076en_US


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