Development of a predictive optimal controller for thermal energy storage systems

HVAC and R Research

Volumn 3, Issue 3, 1997, Pages 233-264

  Henze, Gregor P ^a   Dodier, Robert H ^b   Krarti, Moncef ^b  

^a Johnson Controls   (Germany)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COST EFFECTIVENESS; HEURISTIC METHODS; ICE; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

THERMAL ENERGY STORAGE SYSTEMS;

HEAT STORAGE;

EID: 0031193044     PISSN: 10789669     EISSN: None     Source Type: Journal    
DOI: 10.1080/10789669.1997.10391376     Document Type: Article

References (20)

1. Akbari, H., and Sezgen, O., 1992. Case Studies of Thermal Energy Storage (TES) Systems:Evaluation and Verification of System Performance Berkeley, CA:Lawrence Berkeley Laboratory, University of California, Energy and Environment Division. LBL-30852
2. Bertsekas, D. P., 1995. Dynamic Programming and Optimal Control Vol. 1, Belmont, MA:Athena Scientific.
3. BLAST. 1994. Building Load Analysis and System Thermodynamics, User Manual Urbana-Champaign, IL:U. S. Army Construction Engineering Research Lab., University of Illinois.
4. Braun, J. E., 1992. A Comparison of Chiller-Priority, Storage-Priority, and Optimal Control of an Ice-Storage System. ASHRAE Transactions, 98 (1):893–902.
5. Dodier, R. H., 1995. Statistical Properties of Neural Networks, with Application to Building Energy Prediction, Master's Thesis University of Colorado at Boulder.
6. Drees, K. H., and Braun, J. E., 1996. Development and Evaluation of a Rule-Based Control Strategy for Ice Storage Systems. Int. J. of HVAC&R Research, 2 (4):312–336.
7. ECW. 1994. The Commercial Cooling Load Library Madison, WI:Energy Center of Wisconsin.
8. Guven, H., and Flynn, J., 1992. Commissioning TES Systems. Heating/Piping/Air Cond., 64 (1)
9. Haykin, S., 1994. Neural Networks. New York:Macmillan College Publishing Co.
10. Henze, G. P., Laguna, M., and Krarti, M., Heuristics for the Optimal Control of Thermal Energy Storage. Proceedings of the Metaheuristics International Conference. Norwell, MA:Kluwer Academic Publishers.
11. Henze, G. P., 1996. Evaluation of Optimal Control for Ice Storage Systems, Ph.D. Dissertation Boulder, CO:University of Colorado.
12. Henze, G. P., Krarti, M., and Brandemuehl, M. J., 1997. A Simulation Environment for the Analysis of Ice Storage Controls. Int. J. of HVAC&R Research, 3 (2):128–148.
13. Kintner-Meyer, M., and Emery, E. F., 1995. Optimal control of an HVAC system using Cold Storage and Building Thermal Capacitance. Energy and Buildings, 23:19–31.
14. Knebel, D. E., Optimal Control of Ice Harvesting Thermal Energy Storage Systems. Proceedings of the 25th Intersociety Energy Conversion Engineering Conference 6. pp. 209–214.
15. Kreider, J., Claridge, D., Curtiss, P., Dodier, R., Haberl, J., and Krarti, M., 1995. Building Energy Use Prediction and System Identification using Recurrent Neural Networks. Journal of Solar Energy Engineering, 117 (3):161–166.
16. Seber, G. A. F., and Wild, C. J., 1989. Nonlinear Regression. New York:John Wiley and Sons.
17. Seem, J. E., and Braun, J. E., 1991. Adaptive Methods for Real-Time Forecasting of Building Electrical Demand. ASHRAE Transactions, 97 (1):710–721.
18. Spethmann, D. H., 1989. Optimal Control for Cool Storage. ASHRAE Transactions, 95 (1):1189–1193.
19. Tamblyn, R. T., 1985. Control Concepts for Thermal Storage. ASHRAE Transactions, 91 (1b):5–10.
20. Tran, N., Kreider, J. F., and Brothers, P., 1989. Field Measurement of Chilled Water Storage Thermal Performance. ASHRAE Transactions, 95 (1):135–144.