Development and Evaluation of Predictive Model for Fan Air Flow Rate According to Artificial Neural Network Input Variables

Nam-Chul Seong; Ki-Bong Choi; Won-Chang Choi

doi:10.22696/jkiaebs.20190016

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2019 Vol.13, Issue 3 Preview Page Next Page

Research Article

Development and Evaluation of Predictive Model for Fan Air Flow Rate According to Artificial Neural Network Input Variables 인공신경망 입력 변수에 따른 송풍기 풍량 예측모델 개발 및 평가

30 June 2019. pp. 191-202

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Abstract

A model for predicting the supply air flow rate in the fan, which plays a important role in HVAC system, is to be developed using artificial neural network. A predictive model has been developed to study with the Levenbarg-Marquardt algorithm through 8760 sets of one-hour resolution. The model of three cases was constructed according to the combination of the input variables constituting the input data of the neural network, and the accuracy of each case model was evaluated through statistical approach using Coefficient of Variation of Root Mean Square Error and the best performance model was determined. The input parameters includes flow rate, pressure, fan power consumption, outdoor air temperature, outdoor air humidity, supply air temperature and zone air temperature. The suggested model including seven input data shows the best performance. The results show that the developed model can provide results sufficiently accurate.

Keywords

Predict model

Data-driven-model

Artificial Neural Network (ANN)

Air Handling Unit (AHU)

Fan

Air flow rate

키워드

예측모델

데이터기반 모델

인공신경망

공기조화기

송풍기

풍량

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Information

Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
Publisher(Ko) :한국건축친환경설비학회
Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Journal Title(Ko) :한국건축친환경설비학회논문집
Volume : 13
No :3
Pages :191-202
Received Date : 2019-05-28
Revised Date : 2019-06-18
Accepted Date : 2019-06-23
DOI :https://doi.org/10.22696/jkiaebs.20190016

Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ISSN:1976-6483(Print) 2586-0666(Online) 한국건축친환경설비학회논문집

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