Modeling and control of heating and heat circulation in direct air capture system

Antti Paajanen; Niko Nevaranta; Cyril Bajamundi

doi:10.1016/j.ces.2024.120745

Modeling and control of heating and heat circulation in direct air capture system

Antti Paajanen^*
, Niko Nevaranta
, Cyril Bajamundi

^*Corresponding author for this work

BA4707 Carbon-efficient industry

Soletair Power Oy
Lappeenranta-Lahti University of Technology LUT

Research output: Contribution to journal › Article › Scientific › peer-review

1 Citation (Scopus)

Abstract

Direct air capture (DAC) is a critical technology for mitigating climate change. However, the high heat consumption of temperature vacuum swing adsorption (TVSA)-based DAC processes hinders its widespread deployment. This study focuses on developing a control strategy to optimize the energy efficiency of the TVSA heating phase. A novel adsorbent temperature estimation method, validated through experimental data, was integrated into a cascaded PI controller with a fuzzy gain scheduler (FGS). Experimental results demonstrate that the proposed control strategy effectively regulates the heating process, achieving a potential energy saving of up to 14%. This work contributes to enhancing the feasibility and sustainability of DAC technologies.

Original language	English
Article number	120745
Journal	Chemical Engineering Science
Volume	301
DOIs	https://doi.org/10.1016/j.ces.2024.120745
Publication status	Published - 5 Jan 2025
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

Keywords

Adsorbent temperature estimation
Carbon capture, utilization and storage
Direct air capture
FGS-based PI-control

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10.1016/j.ces.2024.120745

Cite this

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title = "Modeling and control of heating and heat circulation in direct air capture system",

abstract = "Direct air capture (DAC) is a critical technology for mitigating climate change. However, the high heat consumption of temperature vacuum swing adsorption (TVSA)-based DAC processes hinders its widespread deployment. This study focuses on developing a control strategy to optimize the energy efficiency of the TVSA heating phase. A novel adsorbent temperature estimation method, validated through experimental data, was integrated into a cascaded PI controller with a fuzzy gain scheduler (FGS). Experimental results demonstrate that the proposed control strategy effectively regulates the heating process, achieving a potential energy saving of up to 14\%. This work contributes to enhancing the feasibility and sustainability of DAC technologies.",

keywords = "Adsorbent temperature estimation, Carbon capture, utilization and storage, Direct air capture, FGS-based PI-control",

author = "Antti Paajanen and Niko Nevaranta and Cyril Bajamundi",

year = "2025",

month = jan,

day = "5",

doi = "10.1016/j.ces.2024.120745",

language = "English",

volume = "301",

journal = "Chemical Engineering Science",

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TY - JOUR

T1 - Modeling and control of heating and heat circulation in direct air capture system

AU - Paajanen, Antti

AU - Nevaranta, Niko

AU - Bajamundi, Cyril

PY - 2025/1/5

Y1 - 2025/1/5

N2 - Direct air capture (DAC) is a critical technology for mitigating climate change. However, the high heat consumption of temperature vacuum swing adsorption (TVSA)-based DAC processes hinders its widespread deployment. This study focuses on developing a control strategy to optimize the energy efficiency of the TVSA heating phase. A novel adsorbent temperature estimation method, validated through experimental data, was integrated into a cascaded PI controller with a fuzzy gain scheduler (FGS). Experimental results demonstrate that the proposed control strategy effectively regulates the heating process, achieving a potential energy saving of up to 14%. This work contributes to enhancing the feasibility and sustainability of DAC technologies.

AB - Direct air capture (DAC) is a critical technology for mitigating climate change. However, the high heat consumption of temperature vacuum swing adsorption (TVSA)-based DAC processes hinders its widespread deployment. This study focuses on developing a control strategy to optimize the energy efficiency of the TVSA heating phase. A novel adsorbent temperature estimation method, validated through experimental data, was integrated into a cascaded PI controller with a fuzzy gain scheduler (FGS). Experimental results demonstrate that the proposed control strategy effectively regulates the heating process, achieving a potential energy saving of up to 14%. This work contributes to enhancing the feasibility and sustainability of DAC technologies.

KW - Adsorbent temperature estimation

KW - Carbon capture, utilization and storage

KW - Direct air capture

KW - FGS-based PI-control

UR - https://www.scopus.com/pages/publications/85204624725

U2 - 10.1016/j.ces.2024.120745

DO - 10.1016/j.ces.2024.120745

M3 - Article

AN - SCOPUS:85204624725

SN - 0009-2509

VL - 301

JO - Chemical Engineering Science

JF - Chemical Engineering Science

M1 - 120745

ER -

Modeling and control of heating and heat circulation in direct air capture system

Abstract

UN SDGs

Keywords

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