Economic model predictive control for building energy systems

IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe

Volumn , Issue , 2011, Pages

  Ma, Jingran ^a   Qin, S Joe ^a   Li, Bo ^a   Salsbury, Tim ^b  

^a University of Southern California ^*  (United States)

^b Jonson Controls Inc   (United States)

Author keywords

Building Energy System; EnergyPlus; Model Predictive Control; Peak Demand Reduction; Simulation; System Identification

Indexed keywords

BUILDING ENERGY SYSTEMS; ENERGYPLUS; PEAK DEMAND REDUCTION; SIMULATION; SYSTEM IDENTIFICATION;

COOLING; COOLING SYSTEMS; ECONOMICS; EQUIPMENT TESTING; IDENTIFICATION (CONTROL SYSTEMS); INNOVATION; MIDDLEWARE; OFFICE BUILDINGS; PREDICTIVE CONTROL SYSTEMS; SMART POWER GRIDS;

MODEL PREDICTIVE CONTROL;

EID: 79957989642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGT.2011.5759140     Document Type: Conference Paper

References (22)

1. U.S. Department of Energy, Energy Efficiency Trends in Residential and Commercial Buildings, Oct. 2008. [Online]. Available: http://apps1.eere.energy. gov/buildings/publications/pdfs/corporate/bt-stateindustry.pdf
2. F. Rahimi and A. Ipakchi, "Overview of demand response under the smart grid and market paradigms," presented at Innovative Smart Grid Technologies, Gaithersburg, MD, 2010.
3. J. E. Braun, "Reducing energy costs and peak electrical demand through optimal control of building thermal mass," ASHRAE Trans., vol. 96, pp. 876-888, 1990.
4. P. Xu, P. Haves, J. E. Braun and L. T. Hope, "Peak demand reduction from pre-cooling with a zone temperature reset in an office building, " presented at the ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, 2004.
5. S. Kiliccote, M. A. Piette and D. Hansen, "Advanced controls and communications for demand response and energy efficiency in commercial buildings," presented at 2nd Carnegie Mellon Conference in Electric Power Systems: Monitoring, Sensing, Software and Its Valuation for the Changing Electric Power Industry, Pittsburgh, PA, 2006.
6. M. Li, "Application of computational intelligence in modeling and optimization of HVAC systems," M.S. dissertation, Dept. Industrial Eng., Univ. Iowa, Iowa City, 2009.
7. S. Liu and G. P. Henze, "Evaluation of reinforcement learning for optimal control of building active and passive thermal storage inventory," J. Sol. Energy Eng., vol. 129, pp. 215-225, 2007.
8. M. Krarti, "An overview of artificial intelligence-based methods for building energy systems," J. Sol. Energy Eng., vol. 125, pp. 331-342, 2003.
9. T. Hong and Y. Jiang, "A new multizone model for the simulation of building thermal performance," Build. Environ., vol. 32, pp. 123-128, 1997.
10. Z. Yu, F. Haghighat, B. C. M. Fung and H. Yoshino, "A decision tree method for building energy demand modeling," Energ. Buildings, vol. 42, pp. 1637-1646, 2010.
11. G. P. Henze, "Energy and cost minimal control of active and passive building thermal storage inventory," J. Sol. Energy Eng., vol. 127, pp. 343-351, 2005.
12. T. Y. Chen, "Real-time predictive supervisory operation of building thermal systems with thermal mass," Energ. Buildings, vol. 33, pp. 141-150, 2001.
13. K. Lee and J. E. Braun, "Model-based demand-limiting control of building thermal mass," Build. Environ., vol. 43, pp. 1633-1646, 2008.
14. Y. Zhang and V. I. Hanby, "Model-based control of renewable energy systems in buildings," HVAC&R Res. Special Issue, vol. 12, pp. 739-760, 2006.
15. S. J. Qin and T. A. Badgwell, "A survey of industrial model predictive control technology," Control Eng. Pract., vol. 11, pp. 733-764, 2003.
16. C. V. Rao and J. B. Rawlings, "Linear programming and model predictive control," J. of Process Contr., vol. 10, pp. 283-289, 2000.
17. Y. Ma, F. Borrelli, B. Hencey, A. Packard and S. Bortoff, "Model predictive control of thermal energy storage in building cooling systems," in Proc. 2009 IEEE Conf. on Decision and Control combined Chinese Control Conf., pp. 392-397.
18. L. Ljung, "System identification toolbox user's guide," The MathWorks Inc., 2010.
19. U.S. Department of Energy, Getting Started with EnergyPlus. [Online]. Available: http://apps1.eere.energy.gov/buildings/energyplus/energyplus- documentation.cfm
20. M. Wetter and P. Haves, A modular building controls virtual test bed for the integration of heterogeneous systems, presented at 3rd National Conference of IBPSA-USA, Berkeley, CA, 2008. [Online]. Available: http://www.osti.gov/ bridge/product.biblio.jsp?osti-id=936246
21. T. I. Salsbury, "A survey of control technologies in the building automation industry," in Proc. 2005 IFAC World Congress, Prague, Czech Republic.
22. Southern California Edison, Business Rate Summary. [Online]. Available: http://www.sce.com/NR/rdonlyres/6B523AB1-244D-4A8F-A8FE-19C5E0EFD095/0/ 090202-Business-Rates-Summary.pdf