Contributing to appliances' energy efficiency with Internet of Things, smart data and user engagement

Abstract The project OpenFridge has designed and developed the Internet of Things data system with semantic and data analytics enablers for building new services on a top of typical home appliance data—in particular, refrigerators. In order to identify the real-life potential of the system i.e. the innovative set-up from the technical as well as user acceptance sides, pilots with real users have been run, and eventually the data has been collected in a collaborative crowdsourcing manner. The most active users of the system have been surveyed. The paper describes the OpenFridge platform and approach, its evaluation results with the real life users, and discusses the lessons learned and open issues. Though still early for the massive market deployment, the system demonstrates the feasibility of the approach of the users interacting with the semantic energy data and eventually opening it up for the data economy. Also, preferences towards more pervasive ways to interact with such systems were identified.

[1]  N. Oudshoorn,et al.  How Users Matter. The Co-construction of Technologies and Users , 2003 .

[2]  Peter Fröhlich,et al.  Context Based Adaptation of Semantic Rules in Smart Buildings , 2013, IIWAS '13.

[3]  Jo Pierson,et al.  Configuring Living Labs For A ‘Thick’ Understanding Of Innovation , 2005 .

[4]  Simon Fong,et al.  A Scalable Data Stream Mining Methodology: Stream-Based Holistic Analytics and Reasoning in Parallel , 2014, 2014 2nd International Symposium on Computational and Business Intelligence.

[5]  Antonio F. Gómez-Skarmeta,et al.  How can We Tackle Energy Efficiency in IoT Based Smart Buildings? , 2014, Sensors.

[6]  Dieter Fensel,et al.  It's a Streaming World! Reasoning upon Rapidly Changing Information , 2009, IEEE Intelligent Systems.

[7]  Anna Fensel,et al.  End-user interfaces for energy-efficient semantically enabled smart homes , 2014 .

[8]  Maarten Marx,et al.  Specifying access control policies for XML documents with XPath , 2004, SACMAT '04.

[9]  Tharam S. Dillon,et al.  Social network of smart-metered homes and SMEs for grid-based renewable energy exchange , 2012, 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST).

[10]  Fulvio Corno,et al.  A Semantics-Rich Information Technology Architecture for Smart Buildings , 2014 .

[11]  E. Hippel,et al.  Lead users: a source of novel product concepts , 1986 .

[12]  Mathias Uslar,et al.  Building the Semantic Utility with Standards and Semantic Web Services , 2008, OTM Workshops.

[13]  Anna Fensel,et al.  Selecting Ontologies and Publishing Data of Electrical Appliances: A Refrigerator Example , 2014, OTM Workshops.

[14]  Jasper Roes,et al.  Toward semantic interoperability of energy using and producing appliances in residential environments , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[15]  Anna Fensel,et al.  OpenFridge: A platform for data economy for energy efficiency data , 2013, 2013 IEEE International Conference on Big Data.

[16]  Axel Polleres,et al.  Defining expressive access policies for linked data using the ODRL ontology 2.0 , 2014, SEM '14.

[17]  Anna Fensel,et al.  Semantics for Energy Efficiency in Smart Home Environments , 2011 .