Modelling and dynamic co-simulation studies of oxy-fired power plant

Hannu Mikkonen, Mikko Jegoroff, Jari Lappalainen, Jouni Savolainen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

What kind of dynamic characteristics a new process concept will have? Is it easy to operate? Which control strategy is the best? Suitable simulation tool will give answers to these kinds of questions. Modelling and simulation software provide an environment for process modelling and accordingly, the process phenomena can be simulated and design solutions can be evaluated. This paper focuses on dynamic process simulation with one dimensional models. With simulations it is possible to carry out process optimization, solve process bottlenecks and evaluate, for example, different alternatives to integrate process areas before building the plant. The use of simulators for training is increasing nowadays when the target is to make operators familiar with the process well before the commissioning. There are different modelling environments for different needs. It depends on the case and targets what kind of modelling would be the most fruitful, and finally, on financial issues what kind of simulation, if any, will be implemented. The best cost-efficiency can be achieved when simulation tools are used early in the engineering project, and the use is continued throughout the project, for design, testing and analysis, for training and operation support as well. This article presents a study, where Circulated Fluidized Bed Boiler (CFB), Air Separation Unit (ASU) and CO2 Purification Unit (CPU) were modelled dynamically using the Apros and Aspen Plus Dynamics programs. The dynamic simulation of the whole CCS capable production chain ASU+boiler+CPU was achieved by combining the tools, in other words, co-simulating the system.
Original languageEnglish
Title of host publicationAutomaatio XXI Proceedings
Publication statusPublished - 2015
MoE publication typeB3 Non-refereed article in conference proceedings
EventAutomaatio XXI - Helsinki, Finland
Duration: 17 Mar 201518 Mar 2015

Seminar

SeminarAutomaatio XXI
CountryFinland
CityHelsinki
Period17/03/1518/03/15

Fingerprint

Power plants
Purification
Boilers
Air
Fluidized beds
Simulators
Computer simulation
Testing
Costs

Keywords

  • CFB
  • ASU
  • CPU
  • CCS
  • modelling
  • dynamic simulation
  • oxy-firing
  • co-simulation
  • Apros
  • Aspen

Cite this

Mikkonen, H., Jegoroff, M., Lappalainen, J., & Savolainen, J. (2015). Modelling and dynamic co-simulation studies of oxy-fired power plant. In Automaatio XXI Proceedings
Mikkonen, Hannu ; Jegoroff, Mikko ; Lappalainen, Jari ; Savolainen, Jouni. / Modelling and dynamic co-simulation studies of oxy-fired power plant. Automaatio XXI Proceedings. 2015.
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Mikkonen, H, Jegoroff, M, Lappalainen, J & Savolainen, J 2015, Modelling and dynamic co-simulation studies of oxy-fired power plant. in Automaatio XXI Proceedings. Automaatio XXI, Helsinki, Finland, 17/03/15.

Modelling and dynamic co-simulation studies of oxy-fired power plant. / Mikkonen, Hannu; Jegoroff, Mikko; Lappalainen, Jari; Savolainen, Jouni.

Automaatio XXI Proceedings. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

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N2 - What kind of dynamic characteristics a new process concept will have? Is it easy to operate? Which control strategy is the best? Suitable simulation tool will give answers to these kinds of questions. Modelling and simulation software provide an environment for process modelling and accordingly, the process phenomena can be simulated and design solutions can be evaluated. This paper focuses on dynamic process simulation with one dimensional models. With simulations it is possible to carry out process optimization, solve process bottlenecks and evaluate, for example, different alternatives to integrate process areas before building the plant. The use of simulators for training is increasing nowadays when the target is to make operators familiar with the process well before the commissioning. There are different modelling environments for different needs. It depends on the case and targets what kind of modelling would be the most fruitful, and finally, on financial issues what kind of simulation, if any, will be implemented. The best cost-efficiency can be achieved when simulation tools are used early in the engineering project, and the use is continued throughout the project, for design, testing and analysis, for training and operation support as well. This article presents a study, where Circulated Fluidized Bed Boiler (CFB), Air Separation Unit (ASU) and CO2 Purification Unit (CPU) were modelled dynamically using the Apros and Aspen Plus Dynamics programs. The dynamic simulation of the whole CCS capable production chain ASU+boiler+CPU was achieved by combining the tools, in other words, co-simulating the system.

AB - What kind of dynamic characteristics a new process concept will have? Is it easy to operate? Which control strategy is the best? Suitable simulation tool will give answers to these kinds of questions. Modelling and simulation software provide an environment for process modelling and accordingly, the process phenomena can be simulated and design solutions can be evaluated. This paper focuses on dynamic process simulation with one dimensional models. With simulations it is possible to carry out process optimization, solve process bottlenecks and evaluate, for example, different alternatives to integrate process areas before building the plant. The use of simulators for training is increasing nowadays when the target is to make operators familiar with the process well before the commissioning. There are different modelling environments for different needs. It depends on the case and targets what kind of modelling would be the most fruitful, and finally, on financial issues what kind of simulation, if any, will be implemented. The best cost-efficiency can be achieved when simulation tools are used early in the engineering project, and the use is continued throughout the project, for design, testing and analysis, for training and operation support as well. This article presents a study, where Circulated Fluidized Bed Boiler (CFB), Air Separation Unit (ASU) and CO2 Purification Unit (CPU) were modelled dynamically using the Apros and Aspen Plus Dynamics programs. The dynamic simulation of the whole CCS capable production chain ASU+boiler+CPU was achieved by combining the tools, in other words, co-simulating the system.

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