Mathematical Problems in Engineering
Volume 2016, Article ID 2976731, 15 pages
http://dx.doi.org/10.1155/2016/2976731
Research Article
Simplified Building Thermal Model Used for Optimal Control of Radiant Cooling System
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Received 10 November 2015; Accepted 26 January 2016
Academic Editor: Hiroyuki Mino
Copyright © 2016 Lei He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Linked References
- G. Huang, “Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity,” Control Engineering Practice, vol. 19, no. 7, pp. 700–710, 2011. View at Publisher · View at Google Scholar · View at Scopus
- S. Yuan and R. Perez, “Multiple-zone ventilation and temperature control of a single-duct VAV system using model predictive strategy,” Energy and Buildings, vol. 38, no. 10, pp. 1248–1261, 2006. View at Publisher · View at Google Scholar · View at Scopus
- G. P. Henze, D. E. Kalz, S. Liu, and C. Felsmann, “Experimental analysis of model-based predictive optimal control for active and passive building thermal storage inventory,” HVAC&R Research, vol. 11, no. 2, pp. 189–213, 2005. View at Publisher · View at Google Scholar · View at Scopus
- J. Široký, F. Oldewurtel, J. Í. Cigler, and S. Prívara, “Experimental analysis of model predictive control for an energy efficient building heating system,” Applied Energy, vol. 88, no. 9, pp. 3079–3087, 2011. View at Publisher · View at Google Scholar · View at Scopus
- A. Afram and F. Janabi-Sharifi, “Theory and applications of HVAC control systems—a review of model predictive control (MPC),” Building and Environment, vol. 72, pp. 343–355, 2014. View at Publisher · View at Google Scholar · View at Scopus
- A. J. Wright, D. Bloomfield, and T. J. Wiltshire, “Review paper: building simulation and building representation: overview of current developments,” Building Services Engineering Research & Technology, vol. 13, no. 1, pp. 1–11, 1992. View at Publisher · View at Google Scholar
- Z. Liao and A. L. Dexter, “A simplified physical model for estimating the average air temperature in multi-zone heating systems,” Building and Environment, vol. 39, no. 9, pp. 1013–1022, 2004. View at Publisher · View at Google Scholar · View at Scopus
- S. Wang and Z. Ma, “Supervisory and optimal control of building HVAC systems: a review,” HVAC&R Research, vol. 14, no. 1, pp. 3–32, 2008. View at Publisher · View at Google Scholar · View at Scopus
- I. Hazyuk, C. Ghiaus, and D. Penhouet, “Optimal temperature control of intermittently heated buildings using Model Predictive Control: part I—building modeling,” Building and Environment, vol. 51, pp. 379–387, 2012. View at Publisher · View at Google Scholar · View at Scopus
- J. A. Crabb, N. Murdoch, and J. M. Penman, “A simplified thermal response model,” Building Services Engineering Research & Technology, vol. 1, pp. 13–19, 1987. View at Google Scholar
- T. Dewson, B. Day, and A. D. Irving, “Least squares parameter estimation of a reduced order thermal model of an experimental building,” Building and Environment, vol. 28, no. 2, pp. 127–137, 1993. View at Publisher · View at Google Scholar · View at Scopus
- M. M. Gouda, S. Danaher, and C. P. Underwood, “Building thermal model reduction using nonlinear constrained optimization,” Building and Environment, vol. 37, no. 12, pp. 1255–1265, 2002. View at Publisher · View at Google Scholar · View at Scopus
- S. Wang and X. Xu, “Simplified building model for transient thermal performance estimation using GA-based parameter identification,” International Journal of Thermal Sciences, vol. 45, no. 4, pp. 419–432, 2006. View at Publisher · View at Google Scholar · View at Scopus
- X. Xu and S. Wang, “Optimal simplified thermal models of building envelope based on frequency domain regression using genetic algorithm,” Energy and Buildings, vol. 39, no. 5, pp. 525–536, 2007. View at Publisher · View at Google Scholar · View at Scopus
- A. P. Ramallo-González, M. E. Eames, and D. A. Coley, “Lumped parameter models for building thermal modelling: an analytic approach to simplifying complex multi-layered constructions,” Energy and Buildings, vol. 60, pp. 174–184, 2013. View at Publisher · View at Google Scholar · View at Scopus
- G. Fraisse, C. Viardot, O. Lafabrie, and G. Achard, “Development of a simplified and accurate building model based on electrical analogy,” Energy and Buildings, vol. 34, no. 10, pp. 1017–1031, 2002. View at Publisher · View at Google Scholar · View at Scopus
- Z. O'Neill, S. Narayanan, and A. R. Brahme, “Model-based thermal load estimation in buildings,” in Proceedings of the 4th National Conference of IBPSA-USA (SimBuild '10), pp. 474–481, New York, NY, USA, August 2010.
- UIUCLBNL, EnergyPlus Engineering Reference: The Reference to EnergyPlus Calculations, U.S. Department of Energy, 2005.
- A. Nassiopoulos, R. Kuate, and F. Bourquin, “Calibration of building thermal models using an optimal control approach,” Energy and Buildings, vol. 76, pp. 81–91, 2014. View at Publisher · View at Google Scholar · View at Scopus
- M. Wetter and P. Haves, “A Modular building controls virtual test Bed for the Inte-gration of heterogeneous systems,” in Proceedings of the 3rd Nation Conference of IBPSA-USA SimBuild, Berkeley, Calif, USA, August 2008.
- X. Li and J. Wen, “Building energy consumption on-line forecasting using physics based system identification,” Energy and Buildings, vol. 82, pp. 1–12, 2014. View at Publisher · View at Google Scholar · View at Scopus
- S. Royer, S. Thil, T. Talbert, and M. Polit, “A procedure for modeling buildings and their thermal zones using co-simulation and system identification,” Energy and Buildings, vol. 78, pp. 231–237, 2014. View at Publisher · View at Google Scholar · View at Scopus
- G. N. Walton, “A new algorithm for radiant interchange in room load calculations,” ASHRAE Transactions, vol. 86, pp. 190–208, 1980. View at Google Scholar
- A. Odyjas and A. Górka, “Simulations of floor cooling system capacity,” Applied Thermal Engineering, vol. 51, no. 1-2, pp. 84–90, 2013. View at Publisher · View at Google Scholar · View at Scopus
- Y. Zhao, Air Conditioning, China Architecture & Building Press, Beijing, China, 2009 (Chinese).
- J. A. Duffie and W. A. Beckman, Solar Engineering of Thermal Processes, John Wiley & Sons, Hoboken, NJ, USA, 2013. View at Publisher · View at Google Scholar
- A. Kusiak, Y. Zeng, and G. Xu, “Minimizing energy consumption of an air handling unit with a computational intelligence approach,” Energy and Buildings, vol. 60, pp. 355–363, 2013. View at Publisher · View at Google Scholar · View at Scopus
- S. A. Kalogirou, “Artificial neural networks and genetic algorithms in energy applications in buildings,” Advances in Building Energy Research, vol. 3, no. 1, pp. 83–120, 2009. View at Publisher · View at Google Scholar · View at Scopus
- CEN, “Energy performance of buildings—sensible room cooling load calculation—general criteria and validation procedures,” EN ISO 15255, CEN, 2007. View at Google Scholar
- J. Francis and R. E. Edwards, “Speedy comfort assessment using ISO 7730,” Building Services Engineering Research & Technology, vol. 16, no. 3, pp. 165–168, 1995. View at Publisher · View at Google Scholar · View at Scopus
- ASHRAE, ASHRAE Applications Handbook, American Society of Heating, Refrigeration and Air-Conditioning Engineering, Atlanta, Ga, USA, 1999.