Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings

Energy and Buildings

Volumn 121, Issue , 2016, Pages 344-349

  Yang, Junjing ^a   Santamouris, Mattheos ^b   Lee, Siew Eang ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

Institutional building; Occupancy; Occupancy modeling; Sensors

Indexed keywords

ENERGY UTILIZATION; SENSORS;

BUILDING ENERGY SIMULATIONS; INDOOR ENVIRONMENTAL QUALITY; INSTITUTIONAL BUILDING; MODELING METHODOLOGY; OCCUPANCY; OCCUPANCY NUMBER; REVIEW PAPERS; SENSING SYSTEMS;

BUILDINGS;

EID: 84952901198     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2015.12.019     Document Type: Article

References (80)

1. E. Azar, and C.C. Menassa Agent-based modeling of occupants "impact on energy use in commercial buildings" J. Comput. Civil Eng. ASCE 26 4 2012 506
2. Z. Yang, and B. Becerik-Gerber The coupled effects of personalized occupancy pro-file based HVAC schedules and room reassignment on building energy use Energy Build. 78 2014 113 122
3. A. Mahdavi People in building performance simulation J.L.M. Hensen, R. Lamberts, Building Performance Simulation for Design and Operation 2011 Spon Press 978-0-415-47414-6
4. V.L. Erickson, M.A. Carreira-Perpinan, and A.E. Cerpa OBSERVE: occupancy-based system for efficient reduction of HVAC energy IEEE 10th International Conference on Information Processing in Sensor Networks (IPSN) 2011 258 269
5. T. Leephakpreeda, R. Thitipatanapong, T. Grittiyachot, and V. Yungchareon Occupancy-based control of indoor air ventilation: a theoretical and experimental study Sci. Asia 27 4 2001 279 284
6. X. Guo, D.K. Tiller, G.P. Henze, and C.E. Waters The performance of occupancy-based lighting control systems: a review Light. Res. Technol. 42 4 2010 415 431
7. S. Pigg, M. Eilers, and J. Reed Behavioral aspects of lighting and occupancy sensors in private offices: a case study of a university office building Proceedings of the 1996 ACEEE Summer Study on Energy Efficiency in Buildings, vol. 8 1996 161 170
8. L.J. Lo, and A. Novoselac Localized air-conditioning with occupancy control in an open office Energy Build. 42 7 2010 1120 1128
9. D.B. Crawley, L.K. Lawrie, F.C. Winkelmann, W.F. Buhl, Y.J. Huang, C.O. Pedersen, R.K. Strand, R.J. Liesen, D.E. Fisher, M.J. Witte, and et al. Energyplus: creating a new-generation building energy simulation program Energy Build. 33 4 2001 319 331
10. ESRU ESP-r: a building and plant energy simulation environment, User Guide Version 9 Series 2000 University of Strathclyde Glasgow
11. D. Yan, J. Xia, W. Tang, F. Song, X. Zhang, and Y. Jiang Destan integrated building simulation toolkit. Part I: Fundamentals Building Simulation vol. 1 2008 Springer 95 110
12. X. Zhang, J. Xia, Z. Jiang, J. Huang, R. Qin, Y. Zhang, Y. Liu, and Y. Jiang Destan integrated building simulation toolkit. Part II: Applications Building Simulation vol. 1 2008 Springer 193 209
13. S. Klein, W. Beckman, J. Mitchell, J. Due, N. Due, T. Freeman, J. Mitchell, J. Braun, B. Evans, J. Kummer, and et al. Trnsys 16 - A Transient System Simulation Program. User manual 2004 Solar Energy Laboratory, University of Wisconsin-Madison Madison
14. D. Bourgeois, C. Reinhart, and I. Macdonald Adding advanced behavioural models in whole building energy simulation: a study on the total energy impact of manual and automated lighting control Energy Build. 38 2006 814 823
15. S.S. Kwok, and E.W. Lee A study of the importance of occupancy to building cooling load in prediction by intelligent approach Energy Convers. Manage. 52 7 2011 2555 2564
16. S.S. Kwok, R.K. Yuen, and E.W. Lee An intelligent approach to assessing the effect of building occupancy on building cooling load prediction Build. Environ. 46 8 2011 1681 1690
17. Z. Chen, J. Xu, and C. Yeng Modeling regular occupancy in commercial buildings using stochastic models Energy Build. 2015 10.1016/j.enbuild.2015.06.009
18. H. Staats, E. van Leeuwen, and A. Wit A longitudinal study of informational interventions to save energy in an office building J. Appl. Behav. Anal. 33 2000 101 104
19. C.A. Webber, J.A. Roberson, M.C. McWhinney, R.E. Brown, and M.J. Pinckard After-hours power status of office equipment in the USA Energy 31 2006 2823 2838
20. A. Meier Operating buildings during temporary electricity shortages Energy Build. 38 2006 1296 1301
21. O.T. Masoso, and L.J. Grobler The dark side of occupants' behaviour on building energy use Energy Build. 42 2010 173 177
22. A. Al-Mumin, O. Khattab, and G. Sridhar Occupants' behavior and activity patterns influencing the energy consumption in the Kuwaiti residences Energy Build. 35 6 2003 549 559
23. T. Hong, and G. Lin Occupant behavior: impact on energy use of private offices Proceedings of Asim IBSPA Asia Conference 2012
24. J. Zhao, B. Lasternas, K.P. Lam, R. Yun, and V. Loftness Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining Energy Build. 82 2014 341 355
25. M.S. Gul, and S. Patidar Understanding the energy consumption and occupancy of a multi-purpose academic building Energy Build. 87 2015 155 165
26. D. Aerts, J. Minnen, I. Glorieux, I. Wouters, and F. Descamps A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison Build. Environ. 75 2014 67 78
27. I. Glorieux, and J. Minnen Website Belgisch tijdsbudgetonderzoek 2008 Available from: www.time-use.be
28. K. Domdouzis, B. Kumar, and C. Anumba Radio-frequency identification (RFID) applications: a brief introduction Adv. Eng. Inf. 21 4 2007 350 355
29. R. Want, A. Hopper, V. Falcao, and J. Gibbons The active badge location system ACM Trans. Inf. Syst. 10 1 1992 91 102
30. R. Tesoriero, R. Tebar, J.A. Gallud, M.D. Lozano, and V.M.R. Penichet Improving location awareness in indoor spaces using RFID technology Expert Syst. Appl. 37 1 2010 894 898
31. W. Gueaieb, and M.S. Miah An intelligent mobile robot navigation technique using RFID technology IEEE Trans. Instrum. Meas. 57 9 2008 1908 1917
32. P. Bahl, and V.N. Padmanabham Radar: an in-building rf-based user location and tracking system Proceedings of the IEEE INFOCOM 2000 Tel Aviv, Israel, vol. 2, March 2000 775 784
33. J. Hightower, R. Want, and G. Borriello SpotON: An Indoor 3d Location Sensing Technology Based on RF Signal Strength, UW CSE 2000-02-02 2000 Univ. Washington Seattle
34. L.M. Ni, Y. Liu, Y.C. Lau, and A.P. Patil Landmarc: indoor location sensing using active rfid Wirel. Netw. 10 2004 701 710
35. Ekahau, Inc., Ekahau Positioning Engine 2.0. Available from: http://www.ekahau.com.
36. N. Li, G. Calis, and B. Becerik-Gerber Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations Autom. Construct. 24 2012 89 99
37. C. Liao, Y. Lin, and P. Barooah Agent-based and graphical modelling of building occupancy J. Build. Perform. Simul. 5 1 2012 5 25
38. F. Wahl, M. Milenkovic, and O. Amft A green autonomous self-sustaining sensor node for counting people in office environments EDERC 2012: 5th European DSP Education and Research Conference 2012 IEEE
39. Y. Gu, A. Lo, and I. Niemegeers A survey of indoor positioning systems for wireless personal networks IEEE Commun. Surv. Tutor. 11 2009 13 32
40. D. Wang, C. Federspiel, and F. Rubinstein Modeling occupancy in single person offices Energ Build. 37 2 2005 121 126
41. J.A. Davis III, and D.W. Nutter Occupancy diversity factors for common university building types Energy Build. 42 9 2010 1543 1551
42. C. Duartea, K. Van Den Wymelenberga, and C. Riegerb Revealing occupancy patterns in an office building through the use of occupancy sensor data Energy Build. 67 2013 587 595
43. C.C. Federspiel Estimating the inputs of gas transport processes in buildings IEEE Trans. Control Syst. Technol. 5 1997 480 489
44. E. Hailemariam, R. Goldstein, R. Attar, and A. Khan Real-time occupancy detection using decision trees with multiple sensor types Presented at the Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design Boston, Massachusetts 2011
45. S. Meyn, A. Surana, Y. Lin, S.M. Oggianu, S. Narayanan, and T.A. Frewen A sensor-utility-network method for estimation of occupancy in buildings Proceedings of the 48th IEEE Conference on Decision and Control Held Jointly with the 2009 28th Chinese Control Conference 2009 IEEE Shanghai 1494 1500
46. 2-based occupancy detection for demand controlled ventilation Indoor Built Environ. 8 1999 377 391
47. 2 ASHRAE IAQ Applications 2004 21 23
48. H. Liu, H. Darabi, P. Banerjee, and J. Liu Survey of wireless indoor positioning techniques and systems IEEE Trans. Syst. Man Cybern. C: Appl. Rev. 37 6 2007 1067 1080
49. J. Hallberg, M. Nilsson, and K. Synnes Positioning with Bluetooth 10th International Conference on Telecommunications, ICT 2003, 952 2003 954 958
50. J. Hallberg, C. Nugent, R. Davies, and M. Donnelly Localisation of forgotten items using RFID technology Information Technology and Applications in Biomedicine ITAB 2009. 9th International Conference on IEEE 2009
51. Y. Zhao, W. Zeiler, G. Boxem, and T. Labeodan Virtual occupancy sensors for real-time occupancy information in buildings Build. Environ. 93 2015 9 20
52. S. D'Oca, and T. Hong Occupancy schedules learning process through a data mining framework Energy Build. 88 2015 395 408
53. B. Dong, and K.P. Lam Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network J. Build. Perform. Simul. 4 4 2011 359 369
54. W. Chang, and T. Hong Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data Build. Simul. 6 2013 23 32
55. G.R. Newsham, and B.J. Birt Building-level occupancy data to improve arima-based electricity use forecasts Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-efficiency in Building 2010 ACM 13 18
56. C. Liao, and P. Barooah An integrated approach to occupancy modeling and estimation in commercial buildings Proc. of the American Control Conference 2010 3130 3135
57. B. Dong, B. Andrews, K.P. Lam, M. Höynck, R. Zhang, Y. Chiou, and D. Benitez An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network Energy Build. 42 2010 1038 1046
58. V.L. Erickson, and A.E. Cerpa Occupancy based demand response HVAC control strategy Proceedings of the Second ACM Workshop on Embedded Sensing Systems for Energy-efficiency in Buildings 2010 ACM Zürich 7 12
59. M. Pinsky, and S. Karlin An Introduction to Stochastic Modeling 2010 Academic press
60. J. Page, N. Morel, D. Robinson, and J.-L. Scartezzini Simulating stochastic demand of resources in an urban neighbourhood CISBAT 2005 Lausanne, Switzerland 2005 509 513
61. J. Page, D. Robinson, N. Morel, and J.-L. Scartezzini A generalised stochastic model for the simulation of occupant presence Energy Build. 40 2 2008 83 98
62. B. Dong, and K.P. Lam A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting Building Simulation vol. 7 2014 Springer 89 106
63. k. Sun, D. Yana, T. Hong, and S. Guo Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration Build. Environ. 79 2014 1 12
64. C. Wang, D. Yan, and Y. Jiang A novel approach for building occupancy simulation Building Simulation vol. 4 2011 Springer 149 167
65. C.M. Stoppel, and F. Leite Integrating probabilistic methods for describing occupant presence with building energy simulation models Energy Build. 68 2014 99 107
66. A. Mahdavi, and F. Tahmasebi Predicting people's presence in buildings: an empirically based model performance analysis Energy Build. 86 2015 349 355
67. V.N. Vapnik The Nature of Statistical Learning Theory 1995 Springer
68. S.F. Lin, J.Y. Chen, and H.X. Chao Estimation of number of people in crowded scenes using perspective transformation IEEE Trans. Syst. Man Cybern. A: Syst. Hum. 31 6 2001 645 654
69. T. Yu Modeling occupancy behavior for energy efficiency and occupants comfort management in intelligent buildings Proc. of the 9th International Conference on Machine Learning and Applications (ICMLA) 2010 726 731
70. E. McKenna, M. Krawczynski, and M. Thomson Four-state domestic building occupancy model for energy demand simulations Energy Build. 96 2015 30 39
71. T. Zhang, P. Siebers, and U. Aickelin Modelling electricity consumption in office buildings: an agent based approach Energy Build. 43 2011 2882 2892
72. T.A. Nguyen, and M. Aiello Energy intelligent buildings based on user activity: a survey Energy Build. 56 2013 244 257
73. F. Oldewurtel, D. Sturzenegger, and M. Morari Importance of occupancy information for building climate control Appl. Energy 101 2013 521 532
74. L.O. Degelman A model for simulation of daylighting and occupancy sensors as an energy control strategy for office buildings Proceedings of Building Simulation'99 An IBPSA Conference, Kyoto 1999 571 578
75. J.R. Dobbs, and B.M. Hencey Model predictive HVAC control with online occupancy model Energy Build. 82 2014 675 684
76. A. Mahdavi Patterns and implications of user control actions in buildings Indoor Built Environ. 18 5 2009 440 446
77. L. Atallah, M. ElHelw, J. Pansiot, D. Stoyanov, L. Wang, B. Lo, and G.-Z. Yang Behaviour profiling with ambient and wearable sensing 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007) 2007 133 138
78. X. Feng, D. Yan, and T. Hong Simulation of occupancy in buildings Energy Build. 87 2015 348 359
79. Green Building Council Carbon Reductions in Existing Non-domestic Buildings 2011 UK Green Building Council London
80. J. Yang, M. Santamouris, S.E. Lee, and C. Deb Energy performance model development and occupancy number identification of institutional buildings Energy Build. 2016 10.1016/j.enbuild.2015.12.018