The coupled effects of personalized occupancy profile based HVAC schedules and room reassignment on building energy use

Energy and Buildings

Volumn 78, Issue , 2014, Pages 113-122

  Yang, Zheng ^a   Becerik Gerber, Burcin ^a  

^a University of Southern California   (United States)

Author keywords

Energy Use; HVAC Schedule; Occupancy Profile; Office Buildings; Room Reassignment; VAV Systems

Indexed keywords

AIR CONDITIONING; AUTOMATION; COOLING SYSTEMS; ENERGY UTILIZATION; HVAC; INTELLIGENT BUILDINGS; OFFICE BUILDINGS; ZONE MELTING;

BUILDING AUTOMATION SYSTEMS; BUILDING ENERGY USE; ENERGY USE; HEALTHY INDOOR ENVIRONMENTS; OCCUPANCY PROFILE; POTENTIAL EFFICIENCY; ROOM REASSIGNMENT; VAV SYSTEM;

ENERGY EFFICIENCY;

EID: 84900400503     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2014.04.002     Document Type: Article

References (58)

1. Energy Information Administration. Annual Energy Outlook 2012 with Projections to 2035. United States 2012.
2. DOE. Building energy data book. 2011; Available at: http:// buildingsdatabook.eren.doe.gov/. Accessed 07/10, 2013.
3. W. Detlef, and K. Scott Energy consumption characteristics of commercial building HVAC systems. Volume I: chillers refrigerant compressors, and heating systems Arthur D. Little Inc (ADLI) 20 2001 33745 33750
4. W. Detlef, and K. Scott Energy consumption characteristics of commercial building HVAC systems. Volume II: thermal distribution Auxiliary Equipment, and Ventilation 1999
5. W. Grondzik, and R. Furst HVAC components and systems Vital Signs Project 2000
6. Standard A. Standard 189.1-2009, Standard for the Design of High-Performance Green Buildings Except Low-Rise Residential Buildings. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, GA 2009.
7. ASHRAE. ASHRAE handbook: Fundamentals. Atlanta, GA: ASHRAE; 2009.
8. Carbon Trust. Building controls - Realising savings through the use of controls. 2012.
9. M.J. Brandemuehl, and J.E. Braun The impact of demand-controlled and economizer ventilation strategies on energy use in buildings 1999
10. L.E. Varick, Y. Lin, and A. Kamthe et al. Energy efficient building environment control strategies using real-time occupancy measurements Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings November 04-06 2009 ACM Berkeley, CA 19 24
11. 2 source generation rates from measurements in small commercial buildings Building and Environment 42 2 2007 623 639 (Pubitemid 44430855)
12. Handbook A. HVAC systems and equipment. American Society of Heating, Refrigerating, and Air Conditioning Engineers, Atlanta, GA 1996
13. S. Wang, and Z. Ma Supervisory and optimal control of building HVAC systems: a review HVAC&R Research 14 1 2008 3 32 (Pubitemid 351167357)
14. M. Trčka, and J.L. Hensen Overview of HVAC system simulation Automation in Construction 19 2 2010 93 99
15. G. Zheng, and M. Zaheer-Uddin Optimization of thermal processes in a variable air volume HVAC system Energy 21 5 1996 407 420 (Pubitemid 126685301)
16. University of California B. Fundamental of HVAC Controls. 2013.
17. ASHRAE AS. Standard 90.1-2004, Energy standard for buildings except low rise residential buildings. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc 2004.
18. U.S. Energy Information Administration. Commercial Buildings Energy Consumption Survey - Overview of Commercial Buildings Characteristics. 2003; Available at: http://www.eia.doe.gov/emeu/cbecs/cbecs2003/introduction.html. Accessed Dec, 2013.
19. C. Duarte, K. Van Den Wymelenberg, and C. Rieger Revealing occupancy patterns in an office building through the use of occupancy sensor data Energy and Buildings 67 2013 587 595
20. Standard A. 90.1 2007.- Energy Standard for Buildings Except Low-Rise Residential Buildings. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
21. C. Wang, D. Yan, and Y. Jiang A novel approach for building occupancy simulation Building Simulation. Vol. 4. No. 2 2011 Tsinghua Press Beijing, China
22. J. Page, D. Robinson, N. Morel, and J. Scartezzini A generalised stochastic model for the simulation of occupant presence Energy and Buildings 40 2 2008 83 98 (Pubitemid 350161825)
23. D. Wang, C.C. Federspiel, and F. Rubinstein Modeling occupancy in single person offices Energy and Buildings 37 2 2005 121 126
24. J.A. Davis III, and D.W. Nutter Occupancy diversity factors for common university building types Energy and Buildings 42 9 2010 1543 1551
25. A. Mahdavi Patterns and implications of user control actions in buildings Indoor and Built Environment 18 5 2009 6 440
26. A. Mahdavi, and C. Pröglhöf User behaviour and energy performance in buildings International Energy Economics Workshop TUV, IEWT 13 2009 1 13
27. L.J. Lo, and A. Novoselac Localized air-conditioning with occupancy control in an open office Energy and Buildings 42 7 2010 8 1120
28. Y. Zhu, M. Liu, T. Batten, H. Noboa, D.E. Claridge, and W.D. Turner Optimization of control strategies for HVAC terminal boxes Proceedings of 12th Symposium on Improving Building Systems in Hot and Humid Climates San Antonio, TX May 15-17 2000 278 284
29. G.P. Henze, C. Felsmann, and G. Knabe Evaluation of optimal control for active and passive building thermal storage International Journal of Thermal Sciences 43 2 2004 173 183 (Pubitemid 40329174)
30. K. Deng, P. Barooah, G.P. Mehta, and S.P. Meyn Building thermal model reduction via aggregation of states American Control Conference (ACC) IEEE Baltimore, MD, June 30-July 2 2010 5118 5123
31. F. Oldewurtel, A. Parisio, and N.C. Jones et al. Energy efficient building climate control using stochastic model predictive control and weather predictions American Control Conference (ACC) IEEE, 2010 Baltimore, MD 2010 5100 5105
32. Y. Ma, G. Anderson, and F. Borrelli A distributed predictive control approach to building temperature regulation American Control Conference (ACC) IEEE, 2011 San Francisco, CA 2011 2089 2094
33. X.N. Truong, and J. Pappas George Receding-horizon supervisory control of green buildings American Control Conference (ACC) IEEE, 2011 San Francisco, CA 2011 4416 4421
34. A. Aswani, N. Master, J. Taneja, D. Culler, and C. Tomlin Reducing transient and steady state electricity consumption in HVAC using learning-based model - predictive control Proceedings of the IEEE 100 1 2012 240 253
35. G. Gao, and K. Whitehouse The self-programming thermostat: optimizing setback schedules based on home occupancy patterns Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings November 04-06 2009 ACM Berkeley, CA 67 72
36. B. Dong, K.P. Lam, and C. Neuman Integrated building control based on occupant behavior pattern detection and local weather forecasting Sydney: IBPSA Australia Twelfth International IBPSA Conference 2011
37. Y. Agarwal, B. Balaji, R. Gupta, L. Lyles, M. Wei, and W. Thomas Occupancy-driven energy management for smart building automation Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building November 03-05 2010 ACM Zurich, Switzerland 2 6
38. F. Oldewurtel, D. Sturzenegger, and M. Morari Importance of occupancy information for building climate control Applied Energy 101 2012 521 532
39. S. Goyal, H.A. Ingley, and P. Barooah Effect of various uncertainties on the performance of occupancy-based optimal control of HVAC zones Decision and Control (CDC) 2012 2012 IEEE 51st Annual Conference on: IEEE
40. U.S. General Service Administration. Building Automation System (BAS). 2013; Available at: http://www.gsa.gov/portal/content/101302. Accessed July, 2013.
41. W.Z. Huang, M. Zaheeruddin, and S. Cho Dynamic simulation of energy management control functions for HVAC systems in buildings Energy Conversion and Management 47 7 2006 926 943 (Pubitemid 43132714)
42. D. Claridge, B. Abushakra, J. Haberl, and A. Sreshthaputra Electricity diversity profiles for energy simulation of office buildings (RP-1093) Transaction-American Society of Heating Refrigerating and Air Conditioning Engineers 110 1 2004 365 370
43. W.K. Chang, and T. Hong Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data Building Simulation. Vol. 6. No. 1 2013 Tsinghua Press Beijing, China
44. A. Mahdavi, and C. Pröglhöf Observation-based models of user control actions in building Proceedings of PLEA-Passive and low energy architecture 2008 conference October 22-24 2008 PLEA Dublin, Ireland Article ID: 169
45. A. Mohammadi, E. Kabir, A. Mahdavi, and C. Pröglhöf Modeling user control of lighting and shading devices in office buildings: an empirical case study Proceedings of 10th International Building Performance Simulation Association Conference and Exhibition, Building Simulation Sep. 3-6, Beijing, China 2007 772 778
46. Z. Yang, and B. Burcin Modeling personalized occupancy profiles for representing long term patterns by using wireless sensor networks Building and Environment 2013 10.1016/j.buildenv.2014.04.003 Accepted
47. L.E. Varick, and E.A. Cerpa Occupancy based demand response HVAC control strategy Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building November 03-05 2010 ACM Zurich, Switzerland 7 12
48. R. Goldstein, A. Tessier, and A. Khan Schedule-calibrated occupant behavior simulation Proceedings of the 2010 Spring Simulation Multiconference: Symposium on Simulation for Architecture and Urban Design April 11-15 2010 Society for Computer Simulation International Orlando, FL Article ID: 180
49. T. Hong, and H.-V. Lin Occupant behavior: impact on energy use of private offices ASim 2012-1st Asia Conference of International Building Performance Simulation Association November 25-27 2013 IBPSA Shanghai, China Article ID: LBNL-6128E
50. L.E. Varick, C.-P. MÁ, and E.C. Alberto OBSERVE: Occupancy-based system for efficient reduction of HVAC energy Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on April 12-14 IEEE, Chicago, IL 2011 258 269
51. Z. Yang, N. Li, B. Becerik-Gerber, and M. Orosz A systematic approach to occupancy modeling in ambient sensor-rich buildings Simulation 3 July 2013 10.1177/0037549713489918
52. B. Efron Better bootstrap confidence intervals Journal of the American Statistical Association 82 397 1987 171 185 10.2307/2289144 JSTOR 2289144
53. A.C. Aitken Statistical Mathematics 1957 Oliver and Boyd Edinburgh, London
54. J. MacQueen Some methods for classification and analysis of multivariate observations Proceedings of the fifth Berkeley symposium on mathematical statistics and probability California, USA 1967
55. R. Guglielmetti, D. Macumber, and N. Long OpenStudio: an open source integrated analysis platform Proceedings of the 12th Conference of International Building Performance Simulation Association 2011
56. NREL. OpenStuio: Commercial Buildings Research and Software Development. 2013; Available at: http://openstudio.nrel.gov/. Accessed Sept, 30, 2013.
57. Efficiency Valuation Organization (EVO) International Performance Measurement and Verification Protocol (IPMVP) Vol 1 2009
58. Federal Energy Management Program (FEMP). M&V Guidelines: Measurement and Verification for Federal Energy Projects, version 3.0. Prepared by Nexant, Inc. 2008.