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Plant-wide optimization and control of an industrial diesel hydro-processing plant

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Mutlu, Mustafa
Dikbaş, Mine
İş, Gamze

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Abstract

Diesel hydro-processing (DHP) is an important refinery process which removes the undesired sulfur from the oil feedstock followed by hydro-cracking and fractionation to obtain diesel with desired properties. The DHP plant operates with varying feed-stocks. Also, changing market conditions have significant effects on the diesel product specifications. In the presence of such a dynamic environment, the DHP plant has to run in the most profitable and safe way and satisfy the product requirements. In this study, we propose a hierarchical, cascaded model predictive control structure to be used for real-time optimization of an industrial DHP plant. (C) 2016 Elsevier Ltd. All rights reserved.

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Pergamon-Elsevier Science Ltd

Subject

Computer science, Interdisciplinary applications, Engineering, chemical

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Computers and Chemical Engineering

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10.1016/j.compchemeng.2016.01.016

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GoalOpen Access
07 - Affordable and Clean Energy
Renewable energy solutions are becoming cheaper, more reliable and more efficient every day.Our current reliance on fossil fuels is unsustainable and harmful to the planet, which is why we have to change the way we produce and consume energy. Implementing these new energy solutions as fast as possible is essential to counter climate change, one of the biggest threats to our own survival.

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