Online thermal estimation, control, and self-excitation of buildings

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2013, Pages 4802-4807

  Radecki, Peter ^a   Hencey, Brandon ^a  

^a School of Operations Research and Industrial Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDINGS; CONTROLLERS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; SCALABILITY; STRUCTURAL DYNAMICS; THERMOGRAPHY (TEMPERATURE MEASUREMENT); TOPOLOGY;

ACTIVE-LEARNING PROCESS; BUILDING CONTROLS; BUILDING DYNAMICS; NORMAL OPERATIONS; OCCUPANT COMFORTS; ON-LINE IDENTIFICATION; PASSIVE BUILDINGS; TIME-VARYING TEMPERATURES;

LEARNING SYSTEMS;

EID: 84902358188     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2013.6760642     Document Type: Conference Paper

References (13)

1. R. Brown, "U . S . Building-Sector Energy Efficiency Potential, " Lawrence Berkeley National Laboratory, Berkeley, CA, 2008.
2. T. Y. Chen and A. K. Athienitis, "Investigation of practical issues in building thermal parameter estimation, " Building and Environment, vol. 38, no. 8, pp. 1027-1038, Aug 2003.
3. P. Radecki and B. Hencey, "Online Building Thermal Parameter Estimation via Unscented Kalman Filtering, " in American Controls Conferece, Montreal, Canada, 2012.
4. "NSF CMMI Workshop on Building Systems, " Urbana, IL, 2010.
5. S. Kiliccote, M. A. Piette and D. Hansen, "Advanced controls and communications for demand response and energy efficiency in commercial buildings, " in Second Carnegie Mellon Conference in Electric Power Systems, Pittsburgh, PA, 2006.
6. S. Wang and X. Xinhua, "Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm, " Energy Conversion and Management, vol. 47, no. 13-14, pp. 1927-1941, Aug 2006.
7. S. Prívara, J. Cigler, Z. Vána, F. Oldewurtel, C. Sagerschnig and E. Žáeková, "Building modeling as a crucial part for building predictive control, " Energy and Buildings, vol. 56, pp. 8-22, 2013.
8. K. Deng, P. Barooah, P. G. Mehta and S. P. Meyn, "Building Thermal Model Reduction via Aggregation of States, " in American Control Conference, Baltimore, MD, 2010.
9. G. Welch and G. Bishop, "An Introduction to the Kalman Filter, " Department of Computer Science, University of North Caronlina. Tech. Rep. TR 95-041, Chapel Hill, NC, 2003.
10. S. J. Julier and J. K. Uhlmann, "A New Extension of the Kalman Filter to Nonlinear Systems, " in SPIE: The Proceedings of AeroSense: The 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Orlando, FL, 1997.
11. E. C. Kerrigan and J. M. Maciejowski, "Soft Constraints and Exact Penalty Functions in Model Predictive Control, " in UKACC International Conference, Cambridge, UK, 2000.
12. M. Grant and S. Boyd, "cvx Users' Guide, " August 2012. [Online]. Available: http://cvxr.com/cvx/cvx-usrguide.pdf. [Accessed February 2013].
13. J. B. Jorgensen, "Convex QP Algorithms for Linear MPC with Soft Output Constraints, " in OPTEC Workshop on Large Scale Quadratic Programming, University of Leuven, Flanders, Belgium, 2010.