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Title: User Adapting System Design for Improved Energy Efficiency During the Use Phase of Products: Case Study of an Occupancy-Driven, Self-Learning Thermostat
Authors: De Bock, Yannick ×
Auquilla, Andres
Kellens, Karel
Vandevenne, Dennis
Nowé, Ann
Duflou, Joost #
Issue Date: 20-Sep-2016
Publisher: Springer Singapore
Host Document: Sustainability Through Innovation in Product Life Cycle Design pages:883-898
Series Title: EcoProduction
Conference: EcoDesign edition:9 location:Tokyo, Japan date:2-4 December 2015
Article number: D9-2
Abstract: Tailoring products to user requirements can improve the energy efficiency without sacrificing user satisfaction. This study considers the case of an occupancy-driven smart thermostat in an office environment. Identifying patterns in past user behaviour enables occupancy prediction to control the heating accordingly. Potential energy savings and related environmental impact reductions, compared to a fixed schedule heating system, are calculated for various heating and building types in three regions (Leuven, Calgary and Tokyo) to account for variations in climate. The obtained energy savings range between 93.2 and 546.5 kWh per year and environmental impact reductions between 2 and 38 EcoPoints.
Description: Winner of the EcoDesign2015 Best Paper Award.
URI: 
ISBN: 978-981-10-0471-1
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Centre for Industrial Management / Traffic & Infrastructure
× corresponding author
# (joint) last author

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