Improving the Efficiency of a Pulp Bleaching Plant through Data-Based Modeling
(2024)Department of Automatic Control
- Abstract
- The kraft pulp bleaching process presents significant operational challenges due to its inherent non-linear reactions and unpredictable delays, complicating effective control and optimization. This thesis aims to improve the efficiency of the process through modeling it, and lays the groundwork for a new and improved automatic model-based control system. It explores a way of handling the varying delay by tracking the pulp throughout the process. This enables modeling of the chemical reactions using parameterized static models, fitted to existing production data. The models are used to create a decision support system to predict the future pulp quality from the bleaching process. The system showcases the possibilities of using modelbased... (More)
- The kraft pulp bleaching process presents significant operational challenges due to its inherent non-linear reactions and unpredictable delays, complicating effective control and optimization. This thesis aims to improve the efficiency of the process through modeling it, and lays the groundwork for a new and improved automatic model-based control system. It explores a way of handling the varying delay by tracking the pulp throughout the process. This enables modeling of the chemical reactions using parameterized static models, fitted to existing production data. The models are used to create a decision support system to predict the future pulp quality from the bleaching process. The system showcases the possibilities of using modelbased control to increase the efficiency of the plant. The pulp tracking also enables an evaluation of the current process, since it links input data to output data for the process. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9174303
- author
- Johansson, Oscar
- supervisor
- organization
- year
- 2024
- type
- H3 - Professional qualifications (4 Years - )
- subject
- report number
- TFRT-6244
- other publication id
- 0280-5316
- language
- English
- id
- 9174303
- date added to LUP
- 2024-09-16 08:47:07
- date last changed
- 2024-09-16 08:47:07
@misc{9174303,
abstract = {{The kraft pulp bleaching process presents significant operational challenges due to its inherent non-linear reactions and unpredictable delays, complicating effective control and optimization. This thesis aims to improve the efficiency of the process through modeling it, and lays the groundwork for a new and improved automatic model-based control system. It explores a way of handling the varying delay by tracking the pulp throughout the process. This enables modeling of the chemical reactions using parameterized static models, fitted to existing production data. The models are used to create a decision support system to predict the future pulp quality from the bleaching process. The system showcases the possibilities of using modelbased control to increase the efficiency of the plant. The pulp tracking also enables an evaluation of the current process, since it links input data to output data for the process.}},
author = {{Johansson, Oscar}},
language = {{eng}},
note = {{Student Paper}},
title = {{Improving the Efficiency of a Pulp Bleaching Plant through Data-Based Modeling}},
year = {{2024}},
}