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AuthorHimeur, Yassine
AuthorAlsalemi, Abdullah
AuthorBensaali, Faycal
AuthorAmira, Abbes
AuthorVarlamis, Iraklis
AuthorBravos, George
AuthorSardianos, Christos
AuthorDimitrakopoulos, George
Available date2022-12-29T07:34:45Z
Publication Date2022
Publication NameJournal of Cleaner Production
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.jclepro.2021.129786
URIhttp://hdl.handle.net/10576/37840
AbstractEnergy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective studies and consumer awareness. To close such gap, this paper proposes the first techno-economic assessment of a behavioral change-based building energy efficiency solution, to the best of the authors' knowledge. From the one hand, the technical assessment is conducted through (i) introducing a novel edge-based energy efficiency solution; (ii) analyzing energy data using machine learning tools and micro-moments, and producing intelligent, personalized, and explainable action recommendations; and (iii) proceeding with a technical evaluation of four application scenarios, i.e., data collection, data analysis and anomaly detection, recommendation generation, and data visualization. On the other hand, economic assessment is performed by examining the marketability potential of the proposed solution via a market and research analysis of behavioral change-based systems for energy efficiency applications. Also, various factors impacting the commercialization of the final product are investigated before providing recommended actions to ensure its potential marketability via conducting a Go/No-Go evaluation. In conclusion, the proposed solution is designed at a low cost and can save up to 28%-68% of the consumed energy, which results in a Go decision to commercialize the technology. 2021 Elsevier Ltd
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherElsevier
SubjectAnomaly detection
Behavioral change
Business model
Energy efficiency
Market drivers/barriers
Recommendation generation
TitleTechno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
TypeArticle
Volume Number331
dc.accessType Open Access


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