A Web of Things to reduce energy wastage

Western Australia's economy is largely driven by the extraction and processing industry. Caused by inhospitable climate and living conditions in the remote regions, where the vast majority of the natural resources are found, housing needs for personnel are both difficult and costly to meet. The provision of energy accounts for a big part of this since it often requires the transportation of large quantities of fuel over long distances. This would suggest a responsible and effective use of energy, but often the opposite is the case. Excessive wastage is more the rule than the exception. This results not only in high costs but also considerable greenhouse gas emissions. To address these issues, we present a distributed system which drastically reduces the amount of energy wastage without affecting the quality of living of the residents. By building the system to form a Web of Things we try to simplify its management, assure its scalability, and hope to foster its use in unanticipated ways.

[1]  Michael C. Mozer,et al.  The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .

[2]  S. S. van Dam,et al.  Home energy monitors: impact over the medium-term , 2010 .

[3]  Kuo-Ming Chao,et al.  A Profile Based Energy Management System for Domestic Electrical Appliances , 2010, 2010 IEEE 7th International Conference on E-Business Engineering.

[4]  Shuang-Hua Yang,et al.  A zigbee-based home automation system , 2009, IEEE Transactions on Consumer Electronics.

[5]  Kevin P. Schneider,et al.  The Smart Grid: An Estimation of the Energy and CO2 Benefits , 2010 .

[6]  Hani Hagras,et al.  Creating an ambient-intelligence environment using embedded agents , 2004, IEEE Intelligent Systems.

[7]  H. Brohus,et al.  Uncertainty of Energy Consumption Assessment of Domestic Buildings , 2009 .

[8]  Antonio Capone,et al.  Home energy saving through a user profiling system based on wireless sensors , 2009, BuildSys '09.

[9]  P. Hartvigsen The Computer for the 21st Century (1991) , 2014 .

[10]  Sarah C. Darby,et al.  Smart metering: what potential for householder engagement? , 2010 .

[11]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .

[12]  B.F. Wollenberg,et al.  Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.

[13]  Mark Weiser The computer for the 21st century , 1991 .

[14]  Steve Vinoski Serendipitous Reuse , 2008, IEEE Internet Computing.

[15]  Jeannet H. Van Houwelingen,et al.  The Effect of Goal-Setting and Daily Electronic Feedback on In-Home Energy Use , 1989 .

[16]  Markus Lanthaler,et al.  A semantic description language for RESTful Data Services to combat Semaphobia , 2011, 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011).

[17]  Christian Gütl,et al.  Aligning Web Services with the Semantic Web to Create a Global Read-Write Graph of Data , 2011, 2011 IEEE Ninth European Conference on Web Services.

[18]  Hal Turton,et al.  Greenhouse Gas Emissions in Industrialized Countries: Where Does Australia Stand? , 2004 .

[19]  T. Crosbie,et al.  Energy-efficiency interventions in housing: learning from the inhabitants , 2010 .