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Titolo:
Global optimization of absorption chiller system by genetic algorithm and neural network
Autore:
Chow, TT; Zhang, GQ; Lin, Z; Song, CL;
Indirizzi:
City Univ Hong Kong, Div Bldg Sci & Technol, Kowloon, Hong Kong, Peoples RChina City Univ Hong Kong Kowloon Hong Kong Peoples R China ng, Peoples RChina
Titolo Testata:
ENERGY AND BUILDINGS
fascicolo: 1, volume: 34, anno: 2002,
pagine: 103 - 109
SICI:
0378-7788(200201)34:1<103:GOOACS>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Keywords:
absorption chiller; system optimal control; artificial neural network; genetic algorithm;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
22
Recensione:
Indirizzi per estratti:
Indirizzo: Chow, TT City Univ Hong Kong, Div Bldg Sci & Technol, Tat Chee Ave, Kowloon, Hong Kong, Peoples R China City Univ Hong Kong Tat Chee Ave Kowloon HongKong Peoples R China
Citazione:
T.T. Chow et al., "Global optimization of absorption chiller system by genetic algorithm and neural network", ENERG BLDG, 34(1), 2002, pp. 103-109

Abstract

The optimal use of fuel and electricity in a direct-fired absorption chiller system is important in achieving economical operation. Previous work on the control schemes mainly focused on the component local feedback control. A system-based control approach, which allows an overall consideration of the interactive nature of the plant, the building and their associated variables is seen to be the right direction. This paper introduces a new concept of integrating neural network (NN) and genetic algorithm (GA) in the optimal control of absorption chiller system. Based on a commercial absorption unit, neural network was used to model the system characteristics and genetic algorithm as a global optimization tool. The results appear promising. (C) 2002 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 21:41:07