Controlling Energy Utilisation at Reheat Furnace Using Time Series Model

Pradhan Biswabrata, Mukhopadhyay Ananya and Maity Bhagabat
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Pradhan Biswabrata: SQC & OR Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India. bis@isical.ac.in
Mukhopadhyay Ananya: Tata Steel, Research and Development, Jamshedpur 831001, India
Maity Bhagabat: Pioneer Computers Pvt. Ltd., Jamshedpur 831001, India

Stochastics and Quality Control, 2009, vol. 24, issue 2, 195-205

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.

Keywords: ADF unit root test; ARMA model; autocorrelation; hot strip mill; ordinary least squares; stationarity (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1515/EQC.2009.195

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