Department of Chemical and Biological Engineering2024-11-0920160098-135410.1016/j.compchemeng.2016.01.0162-s2.0-84957540328http://dx.doi.org/10.1016/j.compchemeng.2016.01.016https://hdl.handle.net/20.500.14288/14545Diesel 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.Computer scienceInterdisciplinary applicationsEngineering, chemicalJournal Article1873-4375370865300018Q211313