An optimal operation strategy for collaborative flexibility provision of a carbon capture and utilization process with wind energy
- Author
- Arash Ebneali Samani (UGent) , Nezmin Kayedpour (UGent) , Farjam Kayedpour, Jeroen De Kooning (UGent) , Guillaume Crevecoeur (UGent) and Lieven Vandevelde (UGent)
- Organization
- Project
- Abstract
- Improving power system flexibility by responsive demand is essential for integrating wind energy with a high level of variability in power systems. Carbon dioxide-based chemical processes as energy-intensive industrial loads may offer a vast potential of new forms of flexible operation due to their existing control infrastructure and storage capabilities. However, a collaborative decision model is needed for optimal energy sharing among the chemical plant and the grid under the variations and uncertainties of wind power. This study develops an optimal two-stage stochastic programming model for a novel flexible operation strategy of the chemical process coupled with wind turbines. In the proposed control scheme, a small-scale wind farm provides the power input of a chemical plant. Wind turbines are connected to the grid and actively participate in the day-ahead energy and reserve markets, considering the chemical plant as a source of flexibility. An equivalent scenario-based model of the proposed optimization problem is suggested using the Group Method of Data Handling (GMDH) for a data-driven prediction of stochastic variables. Simulation results demonstrate the effectiveness and significance of the proposed approach for an optimal and collaborative contribution in ancillary market of a carbon dioxide-based chemical plant supplied by wind energy.
- Keywords
- Wind energy, CCU, Electric power systems, Optimisation, Flexible operation
Downloads
-
(...).pdf
- supplementary material
- |
- UGent only (changes to open access on 2026-07-26)
- |
- |
- 1.99 MB
-
An Optimal Operation Strategy for Collaborative Flexibility Provision of a Carbon Capture and Utilization Process with Wind Energy-AcceptedManuscript.pdf
- full text (Accepted manuscript)
- |
- open access
- |
- |
- 10.25 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J5N8NMQ6DPHHS37D1AT2MCFF
- MLA
- Ebneali Samani, Arash, et al. “An Optimal Operation Strategy for Collaborative Flexibility Provision of a Carbon Capture and Utilization Process with Wind Energy.” 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024, IEEE, 2024, doi:10.1109/PESGM51994.2024.10689005.
- APA
- Ebneali Samani, A., Kayedpour, N., Kayedpour, F., De Kooning, J., Crevecoeur, G., & Vandevelde, L. (2024). An optimal operation strategy for collaborative flexibility provision of a carbon capture and utilization process with wind energy. 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024. Presented at the IEEE Power & Energy Society General Meeting 2024, Seattle, Washington, USA. https://doi.org/10.1109/PESGM51994.2024.10689005
- Chicago author-date
- Ebneali Samani, Arash, Nezmin Kayedpour, Farjam Kayedpour, Jeroen De Kooning, Guillaume Crevecoeur, and Lieven Vandevelde. 2024. “An Optimal Operation Strategy for Collaborative Flexibility Provision of a Carbon Capture and Utilization Process with Wind Energy.” In 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024. IEEE. https://doi.org/10.1109/PESGM51994.2024.10689005.
- Chicago author-date (all authors)
- Ebneali Samani, Arash, Nezmin Kayedpour, Farjam Kayedpour, Jeroen De Kooning, Guillaume Crevecoeur, and Lieven Vandevelde. 2024. “An Optimal Operation Strategy for Collaborative Flexibility Provision of a Carbon Capture and Utilization Process with Wind Energy.” In 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024. IEEE. doi:10.1109/PESGM51994.2024.10689005.
- Vancouver
- 1.Ebneali Samani A, Kayedpour N, Kayedpour F, De Kooning J, Crevecoeur G, Vandevelde L. An optimal operation strategy for collaborative flexibility provision of a carbon capture and utilization process with wind energy. In: 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024. IEEE; 2024.
- IEEE
- [1]A. Ebneali Samani, N. Kayedpour, F. Kayedpour, J. De Kooning, G. Crevecoeur, and L. Vandevelde, “An optimal operation strategy for collaborative flexibility provision of a carbon capture and utilization process with wind energy,” in 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024, Seattle, Washington, USA, 2024.
@inproceedings{01J5N8NMQ6DPHHS37D1AT2MCFF,
abstract = {{Improving power system flexibility by responsive demand is essential for integrating wind energy with a high level of variability in power systems. Carbon dioxide-based chemical processes as energy-intensive industrial loads may offer a vast potential of new forms of flexible operation due to their existing control infrastructure and storage capabilities. However, a collaborative decision model is needed for optimal energy sharing among the chemical plant and the grid under the variations and uncertainties of wind power. This study develops an optimal two-stage stochastic programming model for a novel flexible operation strategy of the chemical process coupled with wind turbines. In the proposed control scheme, a small-scale wind farm provides the power input of a chemical plant. Wind turbines are connected to the grid and actively participate in the day-ahead energy and reserve markets, considering the chemical plant as a source of flexibility. An equivalent scenario-based model of the proposed optimization problem is suggested using the Group Method of Data Handling (GMDH) for a data-driven prediction of stochastic variables. Simulation results demonstrate the effectiveness and significance of the proposed approach for an optimal and collaborative contribution in ancillary market of a carbon dioxide-based chemical plant supplied by wind energy.}},
author = {{Ebneali Samani, Arash and Kayedpour, Nezmin and Kayedpour, Farjam and De Kooning, Jeroen and Crevecoeur, Guillaume and Vandevelde, Lieven}},
booktitle = {{2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024}},
isbn = {{9798350381849}},
issn = {{1944-9925}},
keywords = {{Wind energy,CCU,Electric power systems,Optimisation,Flexible operation}},
language = {{eng}},
location = {{Seattle, Washington, USA}},
pages = {{13}},
publisher = {{IEEE}},
title = {{An optimal operation strategy for collaborative flexibility provision of a carbon capture and utilization process with wind energy}},
url = {{http://doi.org/10.1109/PESGM51994.2024.10689005}},
year = {{2024}},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: