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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN='8th ECIC & 9th ICSTI 2022':MAILTO:info@ecic-icsti.com
LOCATION:Room „Danzig“
SUMMARY:Predictive gas pressure models as a tool to extend lifetime of coke ovens
DESCRIPTION:The integrated steel site in IJmuiden has two coke plants to supply coke to the blast furnaces. Major rebuilds are not economically feasible. So the challenge is to keep these coke plants in operation for as long as possible to remain at least self-sufficient. Especially Coke Plant # 2 is vulnerable for high coking pressures due to its age (45+ years), weaker design and higher oven walls. To control coking pressure, pilot test facilities are used to measure the gas pressure. A good relation between gas pressure and pushing force of a coke oven was found. Limiting the amount of power required to push an oven is believed to prevent damage to an oven wall. In the pilot oven the gas pressure of all blending piles entering the coke plant is measured as well as all individual coal shipments and several trial blends to investigate intended blend changes. The dataset of all the pilot oven tests is used to develop predictive models for gas pressure. This model requires the data of the individual coal test to widen the data range to give the model predictive power outside the range of blends used for the coke plant. Even though a model like this can predict the general direction and variation between coal types quite well, it fails to predict the difference between various shipments of the same coal. A further investigation into this revealed that variations in moisture and particle size of the same coal type have influenced the gas pressure measurement. These variations do not show up in analytic models, because the influence of these factors is coal type dependent. When the limitations and constraints of these models are understood they can be a useful tool in the optimisation of the coal blends and protection of our assets.  
CLASS:PUBLIC
DTSTART:20220831T092000
DTEND:20220831T094500
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