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Controlling Energy Utilisation at Reheat Furnace Using Time Series Model

Controlling Energy Utilisation at Reheat Furnace Using Time Series Model Abstract In this work, we discuss the steps for establishing a relationship between two time series in an industrial set up. The reheat furnace is the heart of the hot strip mill in a steel plant. In the hot strip mill, steel slabs are heated at high temperature at the reheat furnace before rolling. Furnace temperature depends upon the gas flow rate to burners of the furnace. We make an attempt to establish a relationship between furnace temperature and gas flow rate for controlling energy utilization at the furnace. The data collected on temperature and gas flow rate are time series in nature. We first check whether the order of the two time series are same or not by the Augmented Dickey-Fuller (ADF) unit root test. In the event of same order of the series, we establish the relationship between furnace temperature and gas flow rate by an ordinary least squares (OLS) regression method. The relationship is quite satisfactory and can be used for prediction and controlling energy utilisation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Controlling Energy Utilisation at Reheat Furnace Using Time Series Model

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Publisher
de Gruyter
Copyright
Copyright © 2009 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/EQC.2009.195
Publisher site
See Article on Publisher Site

Abstract

Abstract In this work, we discuss the steps for establishing a relationship between two time series in an industrial set up. The reheat furnace is the heart of the hot strip mill in a steel plant. In the hot strip mill, steel slabs are heated at high temperature at the reheat furnace before rolling. Furnace temperature depends upon the gas flow rate to burners of the furnace. We make an attempt to establish a relationship between furnace temperature and gas flow rate for controlling energy utilization at the furnace. The data collected on temperature and gas flow rate are time series in nature. We first check whether the order of the two time series are same or not by the Augmented Dickey-Fuller (ADF) unit root test. In the event of same order of the series, we establish the relationship between furnace temperature and gas flow rate by an ordinary least squares (OLS) regression method. The relationship is quite satisfactory and can be used for prediction and controlling energy utilisation.

Journal

Economic Quality Controlde Gruyter

Published: Oct 1, 2009

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