Good practices in the use of ICT equipment for electricity savings at a university campus

The commercial sector is responsible in a large degree for the overall energy consumption around the world and Information and Communication Technologies (ICT) constitute an important category of electricity loads which is becoming dominant in offices. Recognizing the importance of using ICT equipment more rationally for saving energy in commercial buildings, we have performed an energy audit of ICT loads at the School of Design and Environment, National University of Singapore, using smart power outlets. After a six-month period through which we have measured and analyzed the consumption of the most representative ICT devices available at the school, we have identified various good practices in the use of office equipment, in order to reduce the total electricity footprint of the building. Most of our practices can be generalized for offices and commercial buildings.

[1]  D. Woolley.  The White Paper. , 1972, British medical journal.

[2]  Girish Ghatikar,et al.  Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India , 2014 .

[3]  Rajesh Gupta,et al.  SleepServer: A Software-Only Approach for Reducing the Energy Consumption of PCs within Enterprise Environments , 2010, USENIX Annual Technical Conference.

[4]  Richard E. Brown,et al.  After-hours power status of office equipment in the USA , 2005 .

[5]  David E. Culler,et al.  Detailed Energy Data Collection for Miscellaneous and Electronic Loads in a Commercial Office Building , 2012 .

[6]  Philip Levis,et al.  Measuring and analyzing the energy use of enterprise computing systems , 2013, Sustain. Comput. Informatics Syst..

[7]  O. T. Masoso,et al.  The dark side of occupants’ behaviour on building energy use , 2010 .

[8]  Contents , 2020, La Presse Médicale Formation.

[9]  Giuseppe Anastasi,et al.  A sensor-based power management system for sustainable computing in large environments , 2013, 2013 Sustainable Internet and ICT for Sustainability (SustainIT).

[10]  John F. Busch,et al.  After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment - eScholarship , 2004 .

[11]  Shaun W. Lawson,et al.  "Watts in it for me?": design implications for implementing effective energy interventions in organisations , 2012, CHI.

[12]  David E. Culler,et al.  TinyOS: An Operating System for Sensor Networks , 2005, Ambient Intelligence.

[13]  Andreas Pitsillides,et al.  A Restful Architecture for Web-based Smart Homes using Request Queues , 2012 .

[14]  Steven Lanzisera,et al.  @Scale: Insights from a large, long-lived appliance energy WSN , 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).

[15]  Marageret J. Pinckard,et al.  After-hours power status of office equipment and energy use of miscellaneous plug-load equipment , 2004 .

[16]  Qi Han,et al.  Building the case for automated building energy management , 2012, BuildSys@SenSys.

[17]  Gregory M. P. O'Hare,et al.  VLAN auditing for preliminary assessment of after hours networked equipment electricity wastage , 2011 .

[18]  Andreas Pitsillides,et al.  Building energy-aware smart homes using web technologies , 2013, J. Ambient Intell. Smart Environ..

[19]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

[20]  David E. Culler,et al.  Experiences with a high-fidelity wireless building energy auditing network , 2009, SenSys '09.

[21]  David E. Culler,et al.  Using Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices in Buildings , 2012 .

[22]  Christoforos E. Kozyrakis,et al.  Green enterprise computing data: Assumptions and realities , 2012, 2012 International Green Computing Conference (IGCC).

[23]  David E. Culler,et al.  Design and implementation of a high-fidelity AC metering network , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[24]  Minoru Mizuno,et al.  Energy saving potential of office equipment power management , 2004 .

[25]  Michael Sheppy,et al.  Extracting Operating Modes from Building Electrical Load Data , 2011, 2011 IEEE Green Technologies Conference (IEEE-Green).

[26]  Philip Levis,et al.  Identifying Energy Waste through Dense Power Sensing and Utilization Monitoring , 2010 .

[27]  Marco Mellia,et al.  PoliSave: Efficient power management of Campus PCs , 2010, SoftCOM 2010, 18th International Conference on Software, Telecommunications and Computer Networks.

[28]  Richard E. Brown,et al.  Electricity used by office equipment and network equipment in the U.S.: Detailed report and appendices , 2001 .

[29]  Bruce Nordman,et al.  Field surveys of office equipment operating patterns , 2001 .

[30]  Tham Kwok Wai,et al.  A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings , 2014 .

[31]  Kang G. Shin,et al.  LiteGreen: Saving Energy in Networked Desktops Using Virtualization , 2010, USENIX Annual Technical Conference.

[32]  Bruce Nordman,et al.  Electricity used by office equipment and network equipment in the US , 2002 .

[33]  Philip Levis,et al.  Software or Hardware: The Future of Green Enterprise Computing , 2011 .

[34]  Thomas Weng,et al.  The energy dashboard: improving the visibility of energy consumption at a campus-wide scale , 2009, BuildSys '09.