Model Predictive Control Application in the Energy Saving Technology of Basic Oxygen Furnace

Abstract

<jats:p>The fulfilment of the condition for the simultaneous achievement of the desired chemical composition and temperature of the metal is ensured by controlling the oxygen consumption and the position of the oxygen impeller lance. The method for solving Model Predictive Control with quadratic functionality in the presence of constraints is given. Implementation of the described solutions will contribute to increasing the proportion of scrap and reducing the melting period without changing of technological process.</jats:p>

Energy-Saving Control Method of Building Central Air Conditioning Based on Genetic Algorithm

“…At the same time, the information could be exchanged with the outside world, realizing the real-time monitoring of parameters such as humidity flow, temperature, pressure, electric in the central air-conditioning system. And it had the function of adopting automatic energy-saving strategy [15]. In recent years, researchers also mixed the genetic algorithm with other algorithms for improvement and applied the improved genetic algorithm to solve the energy-saving optimization operation of central air conditioning [16].…”

Implementation of model predictive control in a programmable logic controller

“…The modern basic oxygen furnace (BOF) process is a high-tech and automated production equipped with a large amount of measurement and control devices. In the current conditions of metallurgical production development, the tasks of developing resource-saving steel smelting technologies, theoretical and practical aspects of new energy-saving blowing methods, and increasing the efficiency of heat energy utilization are relevant [1]. In manual control, the blowing process often deviates from the optimal, disrupting the slag formation process, resulting in either reversion or foaming of the slag, leading to carryovers and emissions.…”