research-article

Cyber-physical systems for next generation intelligent buildings

Authors:

Andreas Savvides,

Ioannis Paschalidis,

Michael CaramanisAuthors Info & Claims

ACM SIGBED Review, Volume 8, Issue 2

Pages 35 - 38

https://doi.org/10.1145/2000367.2000375

Published: 01 June 2011 Publication History

Abstract

The proliferation of the smart grid creates new opportunities for large buildings to act as smart end-points that provide mutually beneficial services for building occupants and the grid. In this article we describe how Cyber-Physical systems that provide rapid access to information and decision-making can enable buildings to autonomously interact with the grid. By participating in new real-time electricity markets on the utility side of the meter and day-ahead markets, buildings have the potential of achieving local efficiency and reliability gains while also facilitating the effective utilization of renewables.

References

[1]

V. Banunavayanan, A. Chahal, L. Freeman, J. Martinez, N. Miller, D. Van Zandt, M. Walling, R. A. Walling, "Analysis of Wind Generation Impact on ERCOT Ancillary Services Requirements," Prepared for Electric Reliability Council of Texas, GE Energy, March 28, 2008.

[2]

M. Bryson, PJM Manual 12: Balancing Operations, rev. 16, Nov. 2007. PJM Manual 11: Scheduling Operations, rev. 34, Feb. 2008.

[3]

Paul L. Joskow "Markets for Power in the United States: An Interim Assessment", The Energy Journal, 2006

[4]

Paul L. Joskow "Challenges For Creating A Comprehensive National Electricity Policy" Technology Policy Institute September 26, 2008, MIT CEEP Report 08--019.

[5]

F. Li, N. P. Padhy, J. Wang, "Cost-Benefit Reflective Distribution Charging Methodology," IEEE Trans. on PS, vol. 23, no. 1, 2008.

[6]

NIST, "NIST Framework and Roadmap for Smart Grid Interoperability Standards Release 1.0 (Draft)," NIST Draft Publication, Sept. 2009.

[7]

"San Diego Smart Grid Study Final Report," Prepared for The Energy Policy Initiatives Center, U. of San Diego School of Law, by Science Applications International Corporation in collaboration with San Diego Gas and Electric Co, October 2006

[8]

"Effects of Wind on Frequency," ERCOT Reliability and Operations Subcommittee, Report, June 13, 2007. Available: http://www.ercot.com/calendar/2007/06/20070614-ROS.html.

[9]

Energy Information Administration. Available: www.eia.doe.gov. Energy Reliability Council of Texas. Available: www.ercot.com.

[10]

Tabors, G. Parker, M. C. Caramanis, "Development of the Smart Grid: Missing Elements in the Policy Process," IEEE Hawaii International Conference on System Sciences, HICSS-43, Jan. 2010.

Digital Library

[11]

"The Transition to a Smart Grid," A Bill Introduced to the House of Representatives on June 20, 2007.

[12]

B. Kranz, R. Pike, E. Hirst "Integrated Electricity Markets in New York: Day-ahead and Real-time Markets for Energy, Ancillary Services, and Transmission", NYISO, November 2002.

[13]

NYISO Ancillary Services Manual 2, March 2008 and Day-Ahead Scheduling Manual 11, June 2001.

[14]

A. L. Ott, "Experience with PJM Market Operation, System Design, and Implementation," IEEE Trans. on PS, vol. 18, no. 2, May 2003.

[15]

A. L. Ott, "Implementation of Demand Response in the PJM Synchronized Reserve Market," 2008 CIGRE Paris Session and Technical Exhibition, Paris, France, August 24--29, 2008. Also, personal communication at Boston University May 21, 2009 symposium on "disrupting the status quo in Power Systems

[16]

PJM, PJM Day-Ahead Scheduling Reserve Market, Ver. 6a, May 2008.

[17]

PJM, "Integrating Demand and Response into the PJM Ancillary Service Markets," White Paper, Feb. 2005.

[18]

T. Dominguez, M. De La Torre, G. Juberias, E. Prieto, A. Cordoba, "Wind Generation Issues in Spain and Real Time Production Control," CIGRE Conference, Zagreb, 2007.

[19]

P. Nyeng, B. Yang, J. Ma, Y. Makarov, J. H. Pease, D. Hawkins, C. Loutan, "Coordinated Multi-Objective Control of Regulating Resources in Multi-Area Power Systems with Large Penetration of Wind Power Generation", 7th International Workshop on Large Scale Integration of Wind Power and on Transmission Networks for Offshore Windfarms, 2008.

[20]

R. Piwko, X. Bai, K. Clark, G. Jordan, N. Miller, J. Zimberlin, "The Effects of Integrating Wind Power on Transmission System Planning, Reliability, and Operations, Report on Phase 2: System Performance Evaluation," Technical Report, GE Energy Consulting, March 4, 2005.

[21]

C. W. Potter, D. Lew, J. McCaa, S. Cheng, S. Eichelberger, E. Grimit, "Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A)," Wind Engineering, vol. 32, no. 4, 2008.

[22]

D. J. Swider, C. Weber, "The Costs of Wind's Intermittency in Germany: Application of a Stochastic Electricity Market Model," Euro. Trans. Electri. Power, vol. 17, pp. 151--172, 2007.

[23]

J. Charles Smith, Michael R. Milligan, Edgar A. DeMeo and Brian Parsons, "Utility Wind Integration and Operating Impact State of the Art" IEEE Transactions on Power Systems, Vol. 22, No. 3, Augut 2007, pp 900--908

[24]

Yuri V. Makarov, Clyde Loutan, Jian Ma and Phillip de Mello, "Operational Impacts of Wind Generation on California Power Systems", IEEE Transactions on Power Systems, Vol. 24, No. 2, May 2009 pp 1039--1050

[25]

D. Van Zandt, L. Freeman, G. Zhi, R. Piwko, G. Jordan, N. Miller, M. Brower, "Ontario Wind Integration Study," Final Report to Ontario Power Authority, Independent Electricity System Operator, and Canadian Wind Energy Association, GE Energy, October 6, 2006

[26]

D. Jung and A. Savvides, "Estimating Building Consumption Breakdowns using ON/OFF State Sensing and Incremental Sub-meter Deployment" Proceedings of the 8^th ACM Conference on Embedded Network Sensing (SenSys), Zurich, Switzerland, Nov. 3--5, 2010

Digital Library

Cited By

Pankratova NMalishevsky APankratov V(2022)Cyber-Physical Systems Operation with Guaranteed Survivability and Safety Under Conditions of Uncertainty and Multifactor RisksSystem Analysis & Intelligent Computing10.1007/978-3-030-94910-5_2(21-35)Online publication date: 26-Mar-2022
https://doi.org/10.1007/978-3-030-94910-5_2
Sánchez HRotondo DEscobet TPuig VQuevedo J(2019)Bibliographical review on cyber attacks from a control oriented perspectiveAnnual Reviews in Control10.1016/j.arcontrol.2019.08.00248(103-128)Online publication date: 2019
https://doi.org/10.1016/j.arcontrol.2019.08.002
Lilis GVan Cutsem OKayal M(2018)A High-Speed Integrated building emulation engine based on discrete event simulationJournal of Systems Architecture10.1016/j.sysarc.2018.10.002Online publication date: Oct-2018
https://doi.org/10.1016/j.sysarc.2018.10.002
Show More Cited By

Index Terms

Cyber-physical systems for next generation intelligent buildings
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

Recommendations

Towards the Next Generation of Ambient Intelligent Environments
WETICE '10: Proceedings of the 2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises

Next Generation Ambient Intelligent Environments (NGAIEs) will offer intelligent and trustworthy services (although probably not for free), will be populated with Ambient Ecologies of smart objects, and will support the Activity Spheres of their ...
Cyber-Physical Systems: A Computational Perspective
Intelligent buildings

The principal issues faced in intelligent building design and construction are presented. The components of the intelligent building are placed into four main categories-facilities management, information management, connectivity, and overall control-...

Comments

Information & Contributors

Information

Published In

cover image ACM SIGBED Review

ACM SIGBED Review Volume 8, Issue 2

Work-in-Progress (WiP) Session of the 2nd International Conference on Cyber Physical Systems

June 2011

41 pages

EISSN:1551-3688

DOI:10.1145/2000367

Issue’s Table of Contents

Copyright © 2011 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2011

Published in SIGBED Volume 8, Issue 2

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
158
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Pankratova NMalishevsky APankratov V(2022)Cyber-Physical Systems Operation with Guaranteed Survivability and Safety Under Conditions of Uncertainty and Multifactor RisksSystem Analysis & Intelligent Computing10.1007/978-3-030-94910-5_2(21-35)Online publication date: 26-Mar-2022
https://doi.org/10.1007/978-3-030-94910-5_2
Sánchez HRotondo DEscobet TPuig VQuevedo J(2019)Bibliographical review on cyber attacks from a control oriented perspectiveAnnual Reviews in Control10.1016/j.arcontrol.2019.08.00248(103-128)Online publication date: 2019
https://doi.org/10.1016/j.arcontrol.2019.08.002
Lilis GVan Cutsem OKayal M(2018)A High-Speed Integrated building emulation engine based on discrete event simulationJournal of Systems Architecture10.1016/j.sysarc.2018.10.002Online publication date: Oct-2018
https://doi.org/10.1016/j.sysarc.2018.10.002
Lilis GKayal M(2018)A secure and distributed message oriented middleware for smart building applicationsAutomation in Construction10.1016/j.autcon.2017.10.03086(163-175)Online publication date: Feb-2018
https://doi.org/10.1016/j.autcon.2017.10.030
Khaitan SMcCalley J(2015)Design Techniques and Applications of Cyberphysical Systems: A SurveyIEEE Systems Journal10.1109/JSYST.2014.23225039:2(350-365)Online publication date: Jun-2015
https://doi.org/10.1109/JSYST.2014.2322503
Xia FLi JHao RKong XGao R(2013)Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber‐Physical SystemsThe Scientific World Journal10.1155/2013/9478082013:1Online publication date: 23-Oct-2013
https://doi.org/10.1155/2013/947808
Caramanis MFoster J(2011)Uniform and complex bids for demand response and wind generation scheduling in multi-period linked transmission and distribution marketsIEEE Conference on Decision and Control and European Control Conference10.1109/CDC.2011.6161249(4340-4347)Online publication date: Dec-2011
https://doi.org/10.1109/CDC.2011.6161249

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents