Simulation and validation of a VAV system with an ANN fan model and a non-linear VAV box model

被引:16
作者
Mei, L [1 ]
Levermore, GJ [1 ]
机构
[1] Univ Loughborough, CREST, Loughborough LE11 3TU, Leics, England
关键词
VAV system; neural network; simulation;
D O I
10.1016/S0360-1323(01)00028-2
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The results of modelling and simulating a laboratory variable air volume (VAV) test rig are presented. The modelling for each component, such as fan, duct and VAV terminal box, with their control systems, in the test rig has been achieved and the simulations via the logical connection of the component models have been performed by means of an HVACSIM+ platform. A polynomial curve fitting method and a ten neuron sigmoid artificial neural network (ANN) model are used to model the non-linear characteristic of the fan. The ANN is shown to be superior. A non-linear characteristic terminal box model based on the experimental modelling of a European box is developed. The ANN fan model and the terminal box model are inserted in the program of the HVACSIM+ platform as the new component subroutine. The accurate simulation results for the VAV test rig via HVACSIM+ are validated by the real system operation performance. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:277 / 284
页数:8
相关论文
共 8 条
[1]  
*ASHRAE, 1996, 825RP ASHRAE
[2]  
CLARK DR, 1985, HVACSIMPLUS BUILDING
[3]  
KHOO I, 1998, MODELLING VARIABLE 1
[4]  
KLEIN SA, 1996, TRANSYS TRANSYS SYST
[5]  
LEGG RC, 1986, CHARACTERISTICS SING
[6]  
*MATHW, 1994, NEUR NETW TOOL BOX
[7]  
RUMELHART DE, 1996, PARALLEL DISTRIBUTED, V1, pCH8
[8]   30 YEARS OF ADAPTIVE NEURAL NETWORKS - PERCEPTRON, MADALINE, AND BACKPROPAGATION [J].
WIDROW, B ;
LEHR, MA .
PROCEEDINGS OF THE IEEE, 1990, 78 (09) :1415-1442