Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings

Energy and Buildings

Volumn 82, Issue , 2014, Pages 540-549

  Chen, Jiayu ^a   Ahn, Changbum ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Commercial and educational buildings; Energy efficiency; Energy load variation; Feedback; Wi Fi network

Indexed keywords

ENERGY UTILIZATION; FEEDBACK; SCHOOL BUILDINGS; WI-FI; WIRELESS LOCAL AREA NETWORKS (WLAN);

EDUCATIONAL BUILDINGS; EFFECTIVE APPROACHES; LOAD VARIATIONS; NETWORK INFRASTRUCTURE; RESIDENTIAL BUILDING; WI FI NETWORKS; WI-FI CONNECTIONS; WIRELESS DEVICES;

ENERGY EFFICIENCY;

EID: 84906487523     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2014.07.053     Document Type: Article

References (41)

1. U.S. Department of Energy Building Energy Data Book 2011
2. T. Ueno, F. Sano, O. Saeki, and K. Tsuji Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data Applied Energy 83 2 2006 166 183
3. J.E. Petersen, V. Shunturov, K. Janda, G. Platt, and K. Weinberger Dormitory residents reduce electricity consumption when exposed to real-time visual feedback and incentives International Journal of Sustainability in Higher Education 8 1 2007 16 33
4. G. Peschiera, J.E. Taylor, and J.A. Siegel Response-relapse patterns of building occupant electricity consumption following exposure to personal, contextualized and occupant peer network utilization data Energy and Buildings 42 8 2010 1329 1336
5. W. Abrahamse, L. Steg, C. Vlek, and T. Rothengatter The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents Journal of Environmental Psychology 27 4 2007 265 276 (Pubitemid 350082518)
6. R.K. Jain, J.E. Taylor, and P.J. Culligan Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings Energy and Buildings 64 2013 408 414
7. E. Azar, and C.C. Menassa A framework to evaluate energy saving potential from occupancy interventions in typical US commercial buildings Journal of Computing in Civil Engineering 28 1 2013 63 78
8. J. Chen, J.E. Taylor, and H.-H. Wei Modeling building occupant network energy consumption decision-making: the interplay between network structure and conservation Energy and Buildings 47 2012 515 524
9. J. Chen, and J.E. Taylor Layering residential peer networks and geospatial building networks to model change in energy saving behaviors Energy and Buildings 58 2012 151 162
10. J. Chen, R.K. Jain, and J.E. Taylor Block configuration modeling: a novel simulation model to emulate building occupant peer networks and their impact on building energy consumption Applied Energy 105 2013 358 368
11. C. Martani, D. Lee, P. Robinson, R. Britter, and C. Ratti ENERNET. Studying the dynamic relationship between building occupancy and energy consumption Energy and Buildings 47 2012 584 591
12. H. Allcott Social norms and energy conservation Journal of Public Economics 95 9-10 2011 1082 1095
13. A. Spagnolli, N. Corradi, L. Gamberini, E. Hoggan, G. Jacucci, C. Katzeff, L. Broms, and L. Jönsson Eco-feedback on the go: motivating energy awareness Computer 44 5 2011 38 45
14. G. Peschiera, and J.E. Taylor The impact of peer network position on electricity consumption in building occupant networks utilizing energy feedback systems Energy and Buildings 49 2012 584 590
15. Energy Information Administration End-use Consumption Data & Survey 2013
16. Z. Yang, N. Li, B. Becerik-Gerber, and M. Orosz A non-intrusive occupancy monitoring system for demand driven HVAC operations Construction Research Congress 2012
17. B. Dong, and B. Andrews Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings Proc. Int. IBPSA Conference 2009
18. V. Garg, and N. Bansal Smart occupancy sensors to reduce energy consumption Energy and Buildings 32 1 2000 81 87
19. J.F. Michel, M. Christmann, M. Fiegert, P. Gulden, and M. Vossiek Multisensor based indoor vehicle localization system for production and logistic Multisensor Fusion and Integration for Intelligent Systems, 2006 IEEE International Conference 2006 IEEE 553 558 (Pubitemid 351409485)
20. D. Niculescu Positioning in ad hoc sensor networks Network, IEEE 18 4 2004 24 29
21. R. Want, A. Hopper, V. Falcão, and J. Gibbons The active badge location system ACM Transactions on Information Systems (TOIS) 10 1 1992 91 102
22. E. Aitenbichler, and M. Muhlhauser An IR local positioning system for smart items and devices Distributed Computing Systems Workshops, 2003 Proceedings. 23rd International Conference 2003 IEEE 334 339
23. R.J. Fontana, E. Richley, and J. Barney Commercialization of an ultra wideband precision asset location system Ultra Wideband Systems and Technologies, 2003 IEEE Conference 2003 IEEE 369 373
24. N.S. Correal, S. Kyperountas, Q. Shi, and M. Welborn An UWB relative location system Ultra Wideband Systems and Technologies, 2003 IEEE Conference 2003 IEEE 394 397
25. L.M. Ni, Y. Liu, Y.C. Lau, and A.P. Patil LANDMARC: indoor location sensing using active RFID Wireless Networks 10 6 2004 701 710
26. H.D. Chon, S. Jun, H. Jung, and S.W. An Using RFID for accurate positioning Journal of Global Positioning Systems 3 1-2 2004 32 39
27. F. Lassabe, P. Canalda, P. Chatonnay, F. Spies, and D. Charlet Refining WiFi indoor positioning renders pertinent deploying location-based multimedia guide Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference 2006 IEEE 126 132
28. P.A. Zandbergen Accuracy of iPhone locations: a comparison of assisted GPS, WiFi and cellular positioning Transactions in GIS 13 s1 2009 5 25
29. A.H. Lashkari, B. Parhizkar, and M.N.A. Ngan WIFI-based indoor positioning system Computer and Network Technology (ICCNT), 2010 Second International Conference 2010 IEEE 76 78
30. B. Balaji, J. Xu, A. Nwokafor, R. Gupta, and Y. Agarwal Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems 2013 ACM 17 pp
31. R. Missaoui, H. Joumaa, S. Ploix, and S. Bacha Managing energy smart homes according to energy prices: analysis of a building energy management system Energy and Buildings 71 2013 155 167
32. R.R. Negenborn, M. Houwing, B. De Schutter, and H. Hellendoorn Adaptive prediction model accuracy in the control of residential energy resources Control Applications, 2008. CCA 2008. IEEE International Conference 2008 IEEE 311 316
33. A.-H. Mohsenian-Rad, and A. Leon-Garcia Optimal residential load control with price prediction in real-time electricity pricing environments IEEE Transactions on Smart Grid 1 2 2010 120 133
34. S.A. Ahmadi, I. Shames, F. Scotton, L. Huang, H. Sandberg, K.H. Johansson, and B. Wahlberg Towards more efficient building energy management systems Knowledge, Information and Creativity Support Systems (KICSS), 2012 Seventh International Conference 2012 IEEE 118 125
35. O. Linda, D. Wijayasekara, M. Manic, and C. Rieger Computational intelligence based anomaly detection for building energy management systems Resilient Control Systems (ISRCS), 2012 5th International Symposium 2012 IEEE 77 82
36. Y. Agarwal, B. Balaji, R. Gupta, J. Lyles, M. Wei, and T. Weng Occupancy-driven energy management for smart building automation Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building 2010 ACM 1 6
37. R.J. Meyers, E.D. Williams, and H.S. Matthews Scoping the potential of monitoring and control technologies to reduce energy use in homes Energy and Buildings 42 5 2010 563 569
38. Y.-C. Wu, M.-J. Chen, B.-S. Chang, and M.-T. Tsai A Low-cost web-based infrared remote control system for energy management of aggregated air conditioners Energy and Buildings 72 2014 24 30
39. R. Seidl Trend analysis for commissioning ASHRAE Journal 48 2006 34 43 (Pubitemid 43149666)
40. R. Lang, D. Bruckner, R. Velik, and T. Deutsch Scenario recognition in modern building automation International Journal on Intelligent Systems and Technologies 4 1 2009 36 44
41. R. Melfi, B. Rosenblum, B. Nordman, and K. Christensen Measuring building occupancy using existing network infrastructure Green Computing Conference and Workshops (IGCC), 2011 International 2011 IEEE 1 8