The determination of distillation column configurations that consume the least total energy is studied. The novel contributions of the proposed designmethodology for finding globalminimum energy column sequences presented in this article include: (1) the definition of a total stripping line distance function for any sequence, (2) a robust energy targeting strategy that provides a continuously d...

Abstract Automatic speech recognition (ASR) is a crucial technology for man-machine interaction. End-to-end models have been studied recently in deep learning ASR. However, these are not suitable the practical application of ASR due to their large model sizes and computation costs. To address this issue, we propose novel mutual-learning sequence-level knowledge distillation framework enjoying d...

Because of their potential energy savings, thermally coupled distillation sequences provide interesting alternatives to the use of sequences based on conventional distillation columns. Three thermally coupled structures have been particularly analyzed for the separation of ternary mixtures: the sequence with a side rectifier, the sequence with a side stripper, and the Petlyuk column. Design met...

In this work we present an overview of the main advances in column sequence optimization in zeotropic systems, ranging from systems using only conventional columns, each with a condenser and a reboiler, to fully thermally coupled systems with a single reboiler and a single condenser in the entire sequence. We also review the rigorous design of distillation columns, or column sequences. In all t...

An important amount of work exists on the topic of optimal operation and control of batch distillation though it is still based on the assumption of an accurate process model being available. While this assumption is valid from a theoretical point of view, there will always remain the challenge of practical applications. Reinforcement Learning (RL) has been recognised already as a particularly ...

Distillation separates compounds by the variation in how effortlessly they vaporize. The two main types of standard distillation comprise unremitting distillation and batch distillation. Unremitting distillation, as the name says, unremittingly takes a feed and separates it into two or more products. Batch distillation takes on lot (or batch) at a time of feed and splits it into products by sel...

Continual graph learning routinely finds its role in a variety of real-world applications where the data with different tasks come sequentially. Despite success prior works, it still faces great challenges. On one hand, existing methods work zero-curvature Euclidean space, and largely ignore fact that curvature varies over com- ing sequence. other continual learners literature rely on abundant ...

BACKGROUND Lignocellulosic biomass is one of the most promising alternatives for replacing mineral resources to overcome global warming, which has become the most important environmental issue in recent years. Furfural was listed by the National Renewable Energy Laboratory as one of the top 30 potential chemicals arising from biomass. However, the current production of furfural is energy intens...

The synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. To provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...