Publication detail

Artificial Intelligence Application for Crude Distillation Unit: An Overview

MIKLAS, V. TOUŠ, M. MÁŠA, V. TENG, S.

Original Title

Artificial Intelligence Application for Crude Distillation Unit: An Overview

Type

conference paper

Language

English

Original Abstract

Artificial intelligence (AI) with its efficiency for complex systems is growing in popularity in many engineering fields. The ability of an AI method to be successfully applied is highly dependent on the previous research, which makes knowledge sharing within and across fields extremely valuable. This work focuses on crude distillations units (CDU), whose energy optimization has been a tremendous challenge because of its complexity. The presented overview shows that soft sensors are the most common application of artificial intelligence for a CDU, although a number of recent publications focus on optimization problems. The approaches for optimization are very diverse, which makes them hardly applicable in the current engineering practice. This work provides a guideline for selecting the right method, but also addresses the fact that different methods excel at different problems and with different data set sizes. For neural networks (NN), this further depends on their architecture and hyperparameter adjustment. This urges future research, whose goal could be a workflow that would automatically adapt methods and perform parameter tuning with minimum user input.

Keywords

Crude Distillation Unit (CDU), Artificial Intelligence (AI), Machine Learning (ML), Neural Network (NN), Sustainability

Authors

MIKLAS, V.; TOUŠ, M.; MÁŠA, V.; TENG, S.

Released

28. 2. 2022

Publisher

Springer

Location

Cham, Switzerland

ISBN

978-3-030-96592-1

Book

Artificial Intelligence for Knowledge Management, Energy, and Sustainability: 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Montreal, QC, Canada, August 19–20, 2021, Revised Selected Papers

Edition

1

ISBN

1868-4238

Periodical

IFIP Advances in Information and Communication Technology

Year of study

637

Number

1

State

Swiss Confederation

Pages from

156

Pages to

168

Pages count

13

URL

https://link.springer.com/chapter/10.1007/978-3-030-96592-1_12

BibTex

@inproceedings{BUT176835,
  author="Václav {Miklas} and Michal {Touš} and Vítězslav {Máša} and Sin Yong {Teng}",
  title="Artificial Intelligence Application for Crude Distillation Unit: An Overview",
  booktitle="Artificial Intelligence for Knowledge Management, Energy, and Sustainability: 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Montreal, QC, Canada, August 19–20, 2021, Revised Selected Papers",
  year="2022",
  series="1",
  journal="IFIP Advances in Information and Communication Technology",
  volume="637",
  number="1",
  pages="156--168",
  publisher="Springer",
  address="Cham, Switzerland",
  doi="10.1007/978-3-030-96592-1\{_}12",
  isbn="978-3-030-96592-1",
  issn="1868-4238",
  url="https://link.springer.com/chapter/10.1007/978-3-030-96592-1_12"
}