E3S Web Conf.
Volume 287, 2021International Conference on Process Engineering and Advanced Materials 2020 (ICPEAM2020)
|Number of page(s)||6|
|Section||Process Systems Engineering & Optimization|
|Published online||06 July 2021|
Propylene Yield from Olefin Plant Utilizing Box-Cox Transformation in Regression Analysis
1 School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia
2 Steam Cracker Complex, Pengerang Refining Company Sdn Bhd, PICMO B2, Pengerang Integrated Complex, 81600, Johor, Malaysia
3 PETRONAS Refinery and Petrochemicals Corporation Sdn Bhd, The Intermark Tower, 55000 Kuala Lumpur, Malaysia
* Corresponding author: email@example.com
Propylene yield is one of the key operating parameters that is monitored daily in the running olefin plant. This study was conducted in the actual world-scale olefin plant to measure the impact of identified controlled variables on the propylene yield. The Box-Cox data transformation was adopted in the Regression Analysis using Minitab Software Version 18 due to non-normal data were observed after normality and stability test were conducted using Box Plot, I-MR Chart, Run Chart, Graphical Summary, and Normality Plot tools. The model concluded that propylene yield in the studied plant was contributed by the factors of -0.000243 Hearth Burner Flow, 0.01332 Integral Burner Flow, and 0.08598 Naphtha Feed Flow. The Response Optimizer tool also suggested that the propylene yield from naphtha liquid feed can be maximized at 11.22% with the control setting at 10,993.86 kg/hr of Hearth Burner Flow, 604.61 kg/hr of Integral Burner Flow, and 63.50 t/hr of Naphtha Feed Flow.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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