Debottlenecking of existing hydrocracking unit by improved heat recovery for energy and carbon dioxide savings

Boldyryev, Stanislav; Gil, Tatyana

doi:10.1016/j.enconman.2021.114164

Cited by 8 publications

(1 citation statement)

References 36 publications

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“…Hydrocracking requires elevated temperatures around 30-450 • C. A preheating furnace is used to heat the feedstock from 60 • C to the process temperature that is decided by the expert or the control system. Approximately 80% of the energy input of a hydrocracker is the furnace fuel [30]. Therefore, the lower temperatures suggested by the FFMPC lower the heat load and save energy.…”

Section: Control Responsementioning

confidence: 99%

A Feedforward Model Predictive Controller for Optimal Hydrocracker Operation

2022

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Hydrocracking is an energy-intensive process, and its control system aims at stable product specifications. When the main product is diesel, the quality measure is usually 95% of the true boiling point. Constant diesel quality is hard to achieve when the feed characteristics vary and feedback control has a long response time. This work suggests a feedforward model predictive control structure for an industrial hydrocracker. A state-space model, an autoregressive exogenous model, a support vector machine regression model, and a deep neural network model are tested in this structure. The resulting reactor temperature decisions and final diesel product quality values are compared against each other and against the actual measurements. The results show the importance of the feed character measurements. Significant improvements are shown in terms of product quality as well as energy savings through decreasing the heat duty of the preheating furnace.

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Section: Control Responsementioning

confidence: 99%