Programme

GeoTherm, a proximity-based thermostat

Format: Poster   Language: English | Tag: physical
By: Henri ter Hofte and Arjan Peddemors | Novay

Henri and Arjan will present GeoTherm, a self-learning internet-connected thermostat that uses the proximity of paired mobile phones of household members to determine automatically when it can lower or should raise the temperature setting. Thus, GeoTherm has the potential to save 15% of the energy used for heating in 3 million Dutch households, while still providing the same thermal comfort as before.

About Henri
Henri ter Hofte studied computer science at the University of Twente, obtained his Ph.D. from that same university in 1998 in the area of computer supported cooperative work. Currently, as a senior researcher and member of the smart living group at Novay, Henri is figuring out how we can use ICT to facilitate people to change their energy behavior. Earlier, Henri has worked on a range of subjects, including mobile user experience measurement, Living Labs methods and tools, the role of context information in informal communication, social network analysis, presence and instant messaging, computer supported cooperative work (CSCW) and groupware.

About Arjan
Arjan Peddemors is a researcher in the domain of pervasive and mobile computing, with a broad system software and network engineering background. After his graduation as an electrical engineer at the University of Twente, he worked in industry and the non-profit sector for 10 years, contributing to numerous projects on internet and mobile middleware and applications. Recently, he obtained his Ph.D. in computer science from Delft University of Technology, focusing on network resource awareness and prediction on mobile devices. His present research interests are in pervasive sensing, large-scale data processing and storage, and mobile applications. Arjan is currently employed by Novay.