Optimizing Energy Costs for Offices Connected to the Smart Grid

In addition to providing for a more reliable distribution infrastructure, the smart grid promises to give the end users better pricing and usage information. It is thus interesting for them to be ready to take advantage of features such as dynamic energy pricing and real-time choice of operators. In this work, we propose a system to monitor and control an office environment and to couple it with the smart grid. The idea is to schedule the operation of devices according to policies defined by the users, in order to minimize the cost of operation while leaving unaffected user comfort and productivity. The implementation of the system and its testing in a living lab environment show interesting economic savings of an average of about 35% and in some cases even overall energy savings in the order of 10% for a building equipped with renewable generation plants, and economic and energy savings of 20% and 10%, respectively, for a building without local renewable installations.

[1]  Pierre Desprairies,et al.  World Energy Outlook , 1977 .

[2]  Chiara Buratti,et al.  A ZigBee Smart Energy Implementation for Energy Efficient Buildings , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[3]  R. Miceli,et al.  Integration of distributed on site control actions via combined photovoltaic and solar panels system , 2009, 2009 International Conference on Clean Electrical Power.

[4]  Il-Woo Lee,et al.  Efficient Building Energy Management System Based on Ontology, Inference Rules, and Simulation , 2011 .

[5]  M Frontczak,et al.  Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. , 2012, Indoor air.

[6]  G. Barbose,et al.  Tracking the Sun: The Installed Cost of Photovoltaics in the U.S. from 1998-2007 , 2009 .

[7]  Bo Li,et al.  Economic model predictive control for building energy systems , 2011, ISGT 2011.

[8]  Harald Vogt,et al.  A client architecture for market-based grid integration of smart environments , 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[9]  Il-Woo Lee,et al.  Proactive energy management system architecture interworking with Smart Grid , 2011, 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE).

[10]  James M. Rehg,et al.  A Compilation Framework for Power and Energy Management on Mobile Computers , 2001, LCPC.

[11]  Wen-Zhan Song,et al.  SmartGridLab: A Laboratory-Based Smart Grid Testbed , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[12]  Stamatis Karnouskos,et al.  Field-testing smart houses for a smart grid , 2011 .

[13]  Jaap Gordijn,et al.  Agent-Based Electricity Balancing with Distributed Energy Resources,  A Multiperspective Case Study , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[14]  Tuan Anh Nguyen,et al.  Energy intelligent buildings based on user activity: A survey , 2013 .

[15]  Pamela MacDougall,et al.  Market-based control in decentralized electrical power systems , 2010, AAMAS 2010.

[16]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[17]  Christian Bauer,et al.  Java Persistence with Hibernate , 2006 .

[18]  G. A. Pagani,et al.  Smart meter aware domestic energy trading agents , 2011, IEEMC '11.

[19]  Roy T. Fielding,et al.  Principled design of the modern Web architecture , 2000, Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium.

[20]  Miroslav Botta,et al.  Measurement of LowPAN Network Coexistence with Home Microwave Appliances in Laboratory and Home Environments , 2011, 2011 International Conference on Broadband and Wireless Computing, Communication and Applications.

[21]  Joshua M. Pearce,et al.  A Review of Solar Photovoltaic Levelized Cost of Electricity , 2011 .

[22]  Spyridon L. Tompros,et al.  Enabling applicability of energy saving applications on the appliances of the home environment , 2009, IEEE Network.

[23]  Robert Schober,et al.  Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[24]  Antonio Capone,et al.  A New Architecture for Reduction of Energy Consumption of Home Appliances , 2009 .

[25]  Leon Freris,et al.  Renewable energy in power systems , 2008 .

[26]  Wasim M. Taqqali,et al.  Smart Grid and demand response technology , 2010, 2010 IEEE International Energy Conference.