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Volumn 86, Issue 9, 2009, Pages 1589-1595

Optimization for ice-storage air-conditioning system using particle swarm algorithm

Author keywords

Ice storage air conditioning system; Optimum; Particle swarm algorithm

Indexed keywords

AIR CONDITIONING; CARBON; CARBON DIOXIDE; ELECTRIC POWER UTILIZATION; ENERGY UTILIZATION; LIFE CYCLE; OFFICE BUILDINGS; OPTIMIZATION; TANKS (CONTAINERS);

EID: 63449111486     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2008.12.025     Document Type: Article
Times cited : (126)

References (13)
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  • 5
    • 0036832879 scopus 로고    scopus 로고
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    • Liu, Y.F.1    Wang, R.Z.2
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    • Guidelines for improved performance of ice storage systems
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    • 33746796728 scopus 로고    scopus 로고
    • Performance evaluation of district cooling plant with ice storage
    • Chan Apple L.S., Chow T.-T., Fong Square K.F., and Lin John Z. Performance evaluation of district cooling plant with ice storage. Energy 31 (2006) 2750-2762
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  • 11
    • 33747155866 scopus 로고    scopus 로고
    • Modified multi objective particle swarm optimization method and its application to energy management system for factories
    • [Translated from Denki Gakkai Ronbunshi 2005; 125-C(1): 21-8]
    • Kitamura S., Mori K., Shindo S., and Izui Y. Modified multi objective particle swarm optimization method and its application to energy management system for factories. Electr Eng Japan 156 4 (2006) [Translated from Denki Gakkai Ronbunshi 2005; 125-C(1): 21-8]
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    • Optimization of heat pump system in indoor swimming pool using particle swarm algorithm
    • Lee W.-S., and Kung C.-K. Optimization of heat pump system in indoor swimming pool using particle swarm algorithm. Appl Therm Eng (2008) 1647-1653
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.