### Resumé

The high energy consumption in the solvent regeneration section represents the major concern for its fully industrial application.

In the design of a carbon dioxide-MEA stripper, once the process targets are fixed, the estimation of the reboiler duty represents a crucial point for what concerns the quantification of the energy requirement. Furthermore, the vapor flow produced in the reboiler influences the column and equipment dimensions.

Commercial simulators are extensively used for the design of new plants based on pre-defined or user-defined mathematical models. From this perspective, the development of a proper model that can reliably describe the complexity of the CO2-stripping process, consisting in simultaneous multicomponent material transfer, energy transfer and chemical reactions, is fundamental for an accurate design of the system.

In this work the solvent regeneration section of a pilot-plant post-combustion CO2 capture facility was modeled using a rate-based approach, focusing on some key-parameters that influence both the temperature and concentration profiles along the column and the evaluation of the reboiler duty. The influence of the number of segments for the discretization of the axial domain was especially studied. This parameter was correctly defined evaluating the eventual effect of the axial diffusion/dispersion through the analysis of the Peclet number, that indicated a plug-flow like fluid dynamics for the column. Moreover, a comparison between a model with a small number of segments and a model with a high number of segments is performed. The simulations showed that, using the latter model, there is an improvement both in the description of the temperature profiles, as testified by the slightly reduction of the standard error between the experimental measurement and the model results, and the estimation of the reboiler duty. In particular, for what concerns the reboiler duty, the relative error between the experimental value and the model results was reduced from 21.4% to 0.5%. This was a consequence of the better discretization of the column height that leads to a better description of the reaction rates and the internal fluxes.

The proposed model is particularly useful when it is necessary to design a new plant or when a dynamic analysis followed by the implementation of a control system are considered.

Originalsprog | Engelsk |
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Publikationsdato | 2017 |

Status | Udgivet - 2017 |

Begivenhed | 8th International Conference on Clean Coal Technologies - Cagliari, Sardinien, Italien Varighed: 8. maj 2017 → 12. maj 2017 Konferencens nummer: 8 |

### Konference

Konference | 8th International Conference on Clean Coal Technologies |
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Nummer | 8 |

Land | Italien |

By | Cagliari, Sardinien |

Periode | 08/05/2017 → 12/05/2017 |

### Citer dette

*Proper Estimation of the Energy Consumption in A Carbon Dioxide-MEA Stripper*. Poster session præsenteret på 8th International Conference on Clean Coal Technologies, Cagliari, Sardinien, Italien.

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**Proper Estimation of the Energy Consumption in A Carbon Dioxide-MEA Stripper.** / Madeddu, Claudio; Errico, Massimiliano; Baratti, Roberto.

Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning › peer review

TY - CONF

T1 - Proper Estimation of the Energy Consumption in A Carbon Dioxide-MEA Stripper

AU - Madeddu, Claudio

AU - Errico, Massimiliano

AU - Baratti, Roberto

PY - 2017

Y1 - 2017

N2 - In the field of CCS, the chemical absorption/desorption using amines represents one of the most easily implemented process for the reduction of the carbon dioxide generated by combustion plants. The high energy consumption in the solvent regeneration section represents the major concern for its fully industrial application.In the design of a carbon dioxide-MEA stripper, once the process targets are fixed, the estimation of the reboiler duty represents a crucial point for what concerns the quantification of the energy requirement. Furthermore, the vapor flow produced in the reboiler influences the column and equipment dimensions.Commercial simulators are extensively used for the design of new plants based on pre-defined or user-defined mathematical models. From this perspective, the development of a proper model that can reliably describe the complexity of the CO2-stripping process, consisting in simultaneous multicomponent material transfer, energy transfer and chemical reactions, is fundamental for an accurate design of the system.In this work the solvent regeneration section of a pilot-plant post-combustion CO2 capture facility was modeled using a rate-based approach, focusing on some key-parameters that influence both the temperature and concentration profiles along the column and the evaluation of the reboiler duty. The influence of the number of segments for the discretization of the axial domain was especially studied. This parameter was correctly defined evaluating the eventual effect of the axial diffusion/dispersion through the analysis of the Peclet number, that indicated a plug-flow like fluid dynamics for the column. Moreover, a comparison between a model with a small number of segments and a model with a high number of segments is performed. The simulations showed that, using the latter model, there is an improvement both in the description of the temperature profiles, as testified by the slightly reduction of the standard error between the experimental measurement and the model results, and the estimation of the reboiler duty. In particular, for what concerns the reboiler duty, the relative error between the experimental value and the model results was reduced from 21.4% to 0.5%. This was a consequence of the better discretization of the column height that leads to a better description of the reaction rates and the internal fluxes.The proposed model is particularly useful when it is necessary to design a new plant or when a dynamic analysis followed by the implementation of a control system are considered.

AB - In the field of CCS, the chemical absorption/desorption using amines represents one of the most easily implemented process for the reduction of the carbon dioxide generated by combustion plants. The high energy consumption in the solvent regeneration section represents the major concern for its fully industrial application.In the design of a carbon dioxide-MEA stripper, once the process targets are fixed, the estimation of the reboiler duty represents a crucial point for what concerns the quantification of the energy requirement. Furthermore, the vapor flow produced in the reboiler influences the column and equipment dimensions.Commercial simulators are extensively used for the design of new plants based on pre-defined or user-defined mathematical models. From this perspective, the development of a proper model that can reliably describe the complexity of the CO2-stripping process, consisting in simultaneous multicomponent material transfer, energy transfer and chemical reactions, is fundamental for an accurate design of the system.In this work the solvent regeneration section of a pilot-plant post-combustion CO2 capture facility was modeled using a rate-based approach, focusing on some key-parameters that influence both the temperature and concentration profiles along the column and the evaluation of the reboiler duty. The influence of the number of segments for the discretization of the axial domain was especially studied. This parameter was correctly defined evaluating the eventual effect of the axial diffusion/dispersion through the analysis of the Peclet number, that indicated a plug-flow like fluid dynamics for the column. Moreover, a comparison between a model with a small number of segments and a model with a high number of segments is performed. The simulations showed that, using the latter model, there is an improvement both in the description of the temperature profiles, as testified by the slightly reduction of the standard error between the experimental measurement and the model results, and the estimation of the reboiler duty. In particular, for what concerns the reboiler duty, the relative error between the experimental value and the model results was reduced from 21.4% to 0.5%. This was a consequence of the better discretization of the column height that leads to a better description of the reaction rates and the internal fluxes.The proposed model is particularly useful when it is necessary to design a new plant or when a dynamic analysis followed by the implementation of a control system are considered.

M3 - Poster

ER -