Model-Based Optimisation for Efficient Use of Resources and Energy

Heli Helaakoski (Corresponding author), Seppo Ollila, Stein O. Wasbø, Torstein Rotevatn, Santiago Moreira, Martin Schlautmann, Jere Backman

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper presents an approach for developing new model-based predictive tools for steel industry in order to make through process multi-criterial optimisation and quality management. The presented work is done in EU funded Morse project which includes both developing models and related software as well as demonstrations in real industrial environments. Morse software tools are aiming for process improvements - reducing the use of raw material and energy while increasing the high quality and production rates. Morse approach is to use a set of software tools as building blocks for developing more comprehensive tools to manage and optimise the whole production chain of complex steel industry processes. These software tools have already been validated in different process steps in blast furnace, liquid steel making and hot rolling mills. Morse aims to integrate different tools starting from unit process level up to plant-wide optimisation level and therefore provide better optimisation for steel production bottlenecks. Morse software tools will be implemented and demonstrated in three ifferent steel plants; carbon steels and stainless steel both working on a large-scale production level, and cast steel in a foundry working on a small-scale production level. The purpose of Morse optimisation system is that it should be applicable for many different types of plants and industries, having similar and common requirements. This paper describes the Morse concept, related models and software components in detail. It also describes the use cases setting the requirements for the development work. With the enhanced Morse tools companies of the process industry will be enabled to optimise the use of raw materials and energy by coordinated prediction and control of resource input and product quality along the entire process route from raw material and energy intake to customer delivery.
Original languageEnglish
Title of host publicationProceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days
Place of PublicationDüsseldorf
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventMETEC & 4th European Steel Technology and Application Days 2019 - Congress Centre Düsseldorf, Düsseldorf, Germany
Duration: 24 Jun 201928 Jun 2019

Conference

ConferenceMETEC & 4th European Steel Technology and Application Days 2019
Abbreviated titleMETEC and 4th ESTAD 2019
CountryGermany
CityDüsseldorf
Period24/06/1928/06/19

Fingerprint

Raw materials
Iron and steel industry
Steel
Hot rolling mills
Industry
Iron and steel plants
Quality management
Foundries
Blast furnaces
Carbon steel
Chemical reactions
Demonstrations
Stainless steel
Liquids
Energy Intake

Keywords

  • Model-based predictive control
  • Plant-wide optimisation
  • Process coordination
  • Energy and resource efficiency

Cite this

Helaakoski, H., Ollila, S., Wasbø, S. O., Rotevatn, T., Moreira, S., Schlautmann, M., & Backman, J. (2019). Model-Based Optimisation for Efficient Use of Resources and Energy. In Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days Düsseldorf.
Helaakoski, Heli ; Ollila, Seppo ; Wasbø, Stein O. ; Rotevatn, Torstein ; Moreira, Santiago ; Schlautmann, Martin ; Backman, Jere. / Model-Based Optimisation for Efficient Use of Resources and Energy. Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days. Düsseldorf, 2019.
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title = "Model-Based Optimisation for Efficient Use of Resources and Energy",
abstract = "This paper presents an approach for developing new model-based predictive tools for steel industry in order to make through process multi-criterial optimisation and quality management. The presented work is done in EU funded Morse project which includes both developing models and related software as well as demonstrations in real industrial environments. Morse software tools are aiming for process improvements - reducing the use of raw material and energy while increasing the high quality and production rates. Morse approach is to use a set of software tools as building blocks for developing more comprehensive tools to manage and optimise the whole production chain of complex steel industry processes. These software tools have already been validated in different process steps in blast furnace, liquid steel making and hot rolling mills. Morse aims to integrate different tools starting from unit process level up to plant-wide optimisation level and therefore provide better optimisation for steel production bottlenecks. Morse software tools will be implemented and demonstrated in three ifferent steel plants; carbon steels and stainless steel both working on a large-scale production level, and cast steel in a foundry working on a small-scale production level. The purpose of Morse optimisation system is that it should be applicable for many different types of plants and industries, having similar and common requirements. This paper describes the Morse concept, related models and software components in detail. It also describes the use cases setting the requirements for the development work. With the enhanced Morse tools companies of the process industry will be enabled to optimise the use of raw materials and energy by coordinated prediction and control of resource input and product quality along the entire process route from raw material and energy intake to customer delivery.",
keywords = "Model-based predictive control, Plant-wide optimisation, Process coordination, Energy and resource efficiency",
author = "Heli Helaakoski and Seppo Ollila and Wasb{\o}, {Stein O.} and Torstein Rotevatn and Santiago Moreira and Martin Schlautmann and Jere Backman",
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Helaakoski, H, Ollila, S, Wasbø, SO, Rotevatn, T, Moreira, S, Schlautmann, M & Backman, J 2019, Model-Based Optimisation for Efficient Use of Resources and Energy. in Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days. Düsseldorf, METEC & 4th European Steel Technology and Application Days 2019, Düsseldorf, Germany, 24/06/19.

Model-Based Optimisation for Efficient Use of Resources and Energy. / Helaakoski, Heli (Corresponding author); Ollila, Seppo; Wasbø, Stein O.; Rotevatn, Torstein; Moreira, Santiago; Schlautmann, Martin; Backman, Jere.

Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days. Düsseldorf, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Model-Based Optimisation for Efficient Use of Resources and Energy

AU - Helaakoski, Heli

AU - Ollila, Seppo

AU - Wasbø, Stein O.

AU - Rotevatn, Torstein

AU - Moreira, Santiago

AU - Schlautmann, Martin

AU - Backman, Jere

PY - 2019

Y1 - 2019

N2 - This paper presents an approach for developing new model-based predictive tools for steel industry in order to make through process multi-criterial optimisation and quality management. The presented work is done in EU funded Morse project which includes both developing models and related software as well as demonstrations in real industrial environments. Morse software tools are aiming for process improvements - reducing the use of raw material and energy while increasing the high quality and production rates. Morse approach is to use a set of software tools as building blocks for developing more comprehensive tools to manage and optimise the whole production chain of complex steel industry processes. These software tools have already been validated in different process steps in blast furnace, liquid steel making and hot rolling mills. Morse aims to integrate different tools starting from unit process level up to plant-wide optimisation level and therefore provide better optimisation for steel production bottlenecks. Morse software tools will be implemented and demonstrated in three ifferent steel plants; carbon steels and stainless steel both working on a large-scale production level, and cast steel in a foundry working on a small-scale production level. The purpose of Morse optimisation system is that it should be applicable for many different types of plants and industries, having similar and common requirements. This paper describes the Morse concept, related models and software components in detail. It also describes the use cases setting the requirements for the development work. With the enhanced Morse tools companies of the process industry will be enabled to optimise the use of raw materials and energy by coordinated prediction and control of resource input and product quality along the entire process route from raw material and energy intake to customer delivery.

AB - This paper presents an approach for developing new model-based predictive tools for steel industry in order to make through process multi-criterial optimisation and quality management. The presented work is done in EU funded Morse project which includes both developing models and related software as well as demonstrations in real industrial environments. Morse software tools are aiming for process improvements - reducing the use of raw material and energy while increasing the high quality and production rates. Morse approach is to use a set of software tools as building blocks for developing more comprehensive tools to manage and optimise the whole production chain of complex steel industry processes. These software tools have already been validated in different process steps in blast furnace, liquid steel making and hot rolling mills. Morse aims to integrate different tools starting from unit process level up to plant-wide optimisation level and therefore provide better optimisation for steel production bottlenecks. Morse software tools will be implemented and demonstrated in three ifferent steel plants; carbon steels and stainless steel both working on a large-scale production level, and cast steel in a foundry working on a small-scale production level. The purpose of Morse optimisation system is that it should be applicable for many different types of plants and industries, having similar and common requirements. This paper describes the Morse concept, related models and software components in detail. It also describes the use cases setting the requirements for the development work. With the enhanced Morse tools companies of the process industry will be enabled to optimise the use of raw materials and energy by coordinated prediction and control of resource input and product quality along the entire process route from raw material and energy intake to customer delivery.

KW - Model-based predictive control

KW - Plant-wide optimisation

KW - Process coordination

KW - Energy and resource efficiency

M3 - Conference article in proceedings

BT - Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days

CY - Düsseldorf

ER -

Helaakoski H, Ollila S, Wasbø SO, Rotevatn T, Moreira S, Schlautmann M et al. Model-Based Optimisation for Efficient Use of Resources and Energy. In Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days. Düsseldorf. 2019