Optimization for the chilled water system of HVAC systems in an intelligent building

Proceedings - 2010 International Conference on Computational and Information Sciences, ICCIS 2010

Volumn , Issue , 2010, Pages 889-891

  Li, Ming Hai ^a   Ren, Qing Chang ^a  

^a XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY   (China)

Author keywords

Chilled water system; Genetic algorithm; Intelligent building; Optimal scheduling; Systematic energy saving

Indexed keywords

BUILDING ENERGY CONSUMPTION; CHILLED WATER SYSTEMS; COLD LOAD; ENERGY SAVING; HVAC SYSTEM; IMPROVED GENETIC ALGORITHMS; MINIMUM COST; OPTIMAL SCHEDULING; REAL TIME; RUNNING PARAMETERS; SAVE ENERGY; SCHEDULING SCHEMES; SYSTEMATIC ENERGY SAVING;

CLIMATE CONTROL; ENERGY UTILIZATION; GENETIC ALGORITHMS; INFORMATION SCIENCE; INTELLIGENT BUILDINGS; OPTIMIZATION; TERNARY SYSTEMS; WATER COOLING SYSTEMS; WATER PIPING SYSTEMS; WATERWORKS;

ENERGY CONSERVATION;

EID: 79952413619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIS.2010.220     Document Type: Conference Paper

References (7)

1. Kaga Azmi. Improving efficiency in existing chillers with optimization technology J . ASHRAE Journal , vol.33, pp.30-38 , 1991.
2. Kasahara Masato , Matsuba Tadahiko. Optimal preview control for HVAC system J . ASHRAE Transactions, vol.104, pp.18-21, 1998.
3. Zaheer2uddin M. Decentralized control systemsfor HVACJ . ASHRAE Transactions, vol.98, pp.25-29, 1992.
4. Fogel D B. A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems J . Simulation , vol.64 , pp.397-406,1995.
5. Homaigar A , Lais H. Constrained optimization via genetic algorithms J . Simulation , vol.62, pp.242-254,1994.
6. Guo Qiao , Xu Qingwei. Analysis and modeling of the central air conditioning system in an intelligent building J . Journal of Bei jing Institute of Technology, vol.11 , pp.295-297,2002.
7. ASHRAE. ASHRAE applications handbook. Atlanta: ASHRAE, vol.40.1-40.3,1999