Modeling a storage tank of carbon capture technology in a power plant in southern Iraq
DOI:
https://doi.org/10.61435/jese.2024.e13Abstract
The IEA's special study on CO2 collection, usage, and storage, released in 2020, estimates global CO2 capacity for storage to be among 8,000 and 55,000 gigatons. One of the most significant issues in introducing carbon into the energy market is improving carbon storage and developing more efficient distribution systems to increase the quantity of carbon that is held as liquid while decreasing storage pressure. The goal of this work is to investigate the efficiency of adsorption-based carbon-storing units from a "systems" perspective. The finite element approach, utilized in COMSOL Multi-physics™, is used to create an appropriate two-dimensional axisymmetric geometrical structure that balances energy, mass, and momentum based on thermodynamic extinction rules. We examine charging and discharging the storage unit with a rated pressure of 9 MPa and an initial temperature of 302 K.The storage tank is chilled using ice water. The research findings demonstrate that both simulated fluctuations in pressure and temperature during storage operations are extremely valuable. At the conclusion of charge time, the temperatures in the tank's center region are greater than those at the entry and along the wall, but at the end of discharge time, they are lower. The velocities are highest near the entry and progressively diminish throughout the tank's axis. As a result, even the lowest possible number (8,000 Gt) substantially surpasses the 100 Gt of CO2 required to be stored by 2055 under the "sustainable development" scenario. The IEA analysis also states that the land potential exceeds the offshore potential. Land-based storage capacity is estimated to be between 6,000 and 42,000 Gt, while offshore capacity is estimated to be between 2,000 and 13,000 Gt, assuming only sites less than 300 kilometers from the coast, at depths less than 300 meters, and outside the Arctic and Antarctic zones. Development of a prediction model to improve knowledge of a novel CO2 adsorbent during the adsorbent-desorption cycle, taking into account all transport events. Validation of the model against published data for H2 storage. Predicting pressure and temperature dispersion at various storage tank sites.
Keywords:
Storage capacities, Capture carbon, Storage unit, Thermal effect, Water pollution, Enhance environmental, liquid carbonDownloads
Metrics
References
Aminu, M. D., & Manovic, V. (2020, August). A modelling study to evaluate the effect of impure CO2 on reservoir performance in a sandstone saline aquifer. Heliyon, 6(8), e04597. https://doi.org/10.1016/j.heliyon.2020.e04597
Boon, M., Matthäi, S. K., Shao, Q., Youssef, A. A., Mishra, A., & Benson, S. M. (2022, February). Anisotropic rate-dependent saturation functions for compositional simulation of sandstone composites. Journal of Petroleum Science and Engineering, 209, 109934. https://doi.org/10.1016/j.petrol.2021.109934
Carroll, S. A., McNab, W. W., & Torres, S. C. (2011, November 11). Experimental Study of Cement - Sandstone/Shale - Brine - CO2Interactions. Geochemical Transactions, 12(1). https://doi.org/10.1186/1467-4866-12-9
Dalei, N. N., & Joshi, J. (2022, July 11). Potential matching of carbon capture storage and utilization (CCSU) as enhanced oil recovery in perspective to Indian oil refineries. Clean Technologies and Environmental Policy, 24(9), 2701–2717. https://doi.org/10.1007/s10098-022-02359-1
Demetriades, T. A., & Graham, R. S. (2016, February). A new equation of state for CCS pipeline transport: Calibration of mixing rules for binary mixtures of CO 2 with N 2, O 2 and H 2. The Journal of Chemical Thermodynamics, 93, 294–304. https://doi.org/10.1016/j.jct.2015.07.045
Dressel, B., Deel, D., Rodosta, T., Plasynski, S., Litynski, J., & Myer, L. (2011, January 26). CCS Activities Being Performed by the U.S. DOE. International Journal of Environmental Research and Public Health, 8(2), 300–320. https://doi.org/10.3390/ijerph8020300
Eikeland, O. F., Kelsall, C. C., Buznitsky, K., Verma, S., Bianchi, F. M., Chiesa, M., & Henry, A. (2023, October). Power availability of PV plus thermal batteries in real-world electric power grids. Applied Energy, 348, 121572. https://doi.org/10.1016/j.apenergy.2023.121572
Gulagi, A., Choudhary, P., Bogdanov, D., & Breyer, C. (2017, July 19). Electricity system based on 100% renewable energy for India and SAARC. PLOS ONE, 12(7), e0180611. https://doi.org/10.1371/journal.pone.0180611
Gunawan, T. A., Luo, H., Greig, C., & Larson, E. (2024, April). Shared CO₂ capture, transport, and storage for decarbonizing industrial clusters. Applied Energy, 359, 122775. https://doi.org/10.1016/j.apenergy.2024.122775
Hamood, H. M., Mansour, M. M., Lafta, A. M., & Nashee, S. R. (2023, November 30). Numerical Investigation to Study the Effect of Three Height of Triangular Obstacles on Heat Transfer of Nanofluids in a Microchannel. International Review of Mechanical Engineering (IREME), 17(11), 533. https://doi.org/10.15866/ireme.v17i11.23627
Hunter, D., Wang, M., & Kim, S. (2023, March). Long-Term Safety Of Tg C: Safety Analysis Of Long Term Safety Trial Over 14 Years. Osteoarthritis and Cartilage, 31, S178–S180. https://doi.org/10.1016/j.joca.2023.01.151
Huo, J., Wang, Z., Oberschelp, C., Guillén-Gosálbez, G., & Hellweg, S. (2023). Net-zero transition of the global chemical industry with CO2-feedstock by 2050: feasible yet challenging. Green Chemistry, 25(1), 415–430. https://doi.org/10.1039/d2gc03047k
Jablonka, K. M., Charalambous, C., Sanchez Fernandez, E., Wiechers, G., Monteiro, J., Moser, P., Smit, B., & Garcia, S. (2023, January 6). Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant. Science Advances, 9(1). https://doi.org/10.1126/sciadv.adc9576
Kontogeorgis, G. M., Dohrn, R., Economou, I. G., de Hemptinne, J. C., ten Kate, A., Kuitunen, S., Mooijer, M., Žilnik, L. F., & Vesovic, V. (2021, March 26). Industrial Requirements for Thermodynamic and Transport Properties: 2020. Industrial & Engineering Chemistry Research, 60(13), 4987–5013. https://doi.org/10.1021/acs.iecr.0c05356
Ley, M., Meggouh, M., Moury, R., Peinecke, K., & Felderhoff, M. (2015, September 4). Development of Hydrogen Storage Tank Systems Based on Complex Metal Hydrides. Materials, 8(9), 5891–5921. https://doi.org/10.3390/ma8095280
Mansour, M. M., Hamood, H. M., Lafta, A. M., Nashee, S. R., & Shkarah, A. J. (2024, March 31). Enhancing the Efficacy of Adsorption-Based Carbon Storage Systems: A Finite Element Analysis Approach. International Journal of Energy Production and Management, 9(1), 19–24. https://doi.org/10.18280/ijepm.090103
Mărcuţ, I., & Zeiser, F. (2023). The Poisson cohomology of $mathfrak{sl}^{ast}_2 (mathbb{R})$. Journal of Symplectic Geometry, 21(3), 603–652. https://doi.org/10.4310/jsg.2023.v21.n3.a4
Mehrkesh, A., & Karunanithi, A. T. (2016, October). Optimal design of ionic liquids for thermal energy storage. Computers & Chemical Engineering, 93, 402–412. https://doi.org/10.1016/j.compchemeng.2016.04.008
Middleton, R. S., Chen, B., Harp, D. R., Kammer, R. M., Ogland-Hand, J. D., Bielicki, J. M., Clarens, A. F., Currier, R. P., Ellett, K. M., Hoover, B. A., McFarlane, D. N., Pawar, R. J., Stauffer, P. H., Viswanathan, H. S., & Yaw, S. P. (2020, September). Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics. Applied Computing and Geosciences, 7, 100035. https://doi.org/10.1016/j.acags.2020.100035
Mirgaux, O., Anselmi, H., & Patisson, F. (2021, October 26). Environmental Performances of Various CCU Options in the Framework of an Integrated Chemical Plant. Membranes, 11(11), 815. https://doi.org/10.3390/membranes11110815
Møyner, O., & Nilsen, H. M. (2018, September 28). Multiresolution coupled vertical equilibrium model for fast flexible simulation of CO2 storage. Computational Geosciences, 23(1), 1–20. https://doi.org/10.1007/s10596-018-9775-z
Naseeb, A., Ramadan, A., & Al-Salem, S. M. (2022, May 26). Economic Feasibility Study of a Carbon Capture and Storage (CCS) Integration Project in an Oil-Driven Economy: The Case of the State of Kuwait. International Journal of Environmental Research and Public Health, 19(11), 6490. https://doi.org/10.3390/ijerph19116490
Negri, V., Charalambous, M. A., Medrano-García, J. D., & Guillén-Gosálbez, G. (2022, December 15). Navigating within the Safe Operating Space with Carbon Capture On-Board. ACS Sustainable Chemistry & Engineering, 10(51), 17134–17142. https://doi.org/10.1021/acssuschemeng.2c04627
Negri, V., Vázquez, D., Sales-Pardo, M., Guimerà, R., & Guillén-Gosálbez, G. (2022, November 2). Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies. ACS Omega, 7(45), 41147–41164. https://doi.org/10.1021/acsomega.2c04736
Prado, A., Chiquier, S., Fajardy, M., & Mac Dowell, N. (2023, April). Assessing the impact of carbon dioxide removal on the power system. IScience, 26(4), 106303. https://doi.org/10.1016/j.isci.2023.106303
Saad, B. M., Alexanderian, A., Prudhomme, S., & Knio, O. M. (2018, January). Probabilistic modeling and global sensitivity analysis for CO2 storage in geological formations: a spectral approach. Applied Mathematical Modelling, 53, 584–601. https://doi.org/10.1016/j.apm.2017.09.016
Saló-Salgado, L., Haugen, M., Eikehaug, K., Fernø, M., Nordbotten, J. M., & Juanes, R. (2023, June 23). Direct Comparison of Numerical Simulations and Experiments of $$hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability. Transport in Porous Media, 151(5), 1199–1240. https://doi.org/10.1007/s11242-023-01972-y
Sanchez, D. L., Johnson, N., McCoy, S. T., Turner, P. A., & Mach, K. J. (2018, April 23). Near-term deployment of carbon capture and sequestration from biorefineries in the United States. Proceedings of the National Academy of Sciences, 115(19), 4875–4880. https://doi.org/10.1073/pnas.1719695115
van de Haar, A., Trapp, C., Wellner, K., de Kler, R., Schmitz, G., & Colonna, P. (2017, February 9). Dynamics of Postcombustion CO2 Capture Plants: Modeling, Validation, and Case Study. Industrial & Engineering Chemistry Research, 56(7), 1810–1822. https://doi.org/10.1021/acs.iecr.6b00034
Venkataramani, G., Ramalingam, V., & Viswanathan, K. (2018, July 2). Harnessing Free Energy From Nature For Efficient Operation of Compressed Air Energy Storage System and Unlocking the Potential of Renewable Power Generation. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-28025-5
Vo Thanh, H., Sugai, Y., & Sasaki, K. (2020, October 23). Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73931-2
Wang, Y., Zhang, Z., Vuik, C., & Hajibeygi, H. (2023, July 10). Simulation of CO2 Storage Using a Parameterization Method for Essential Trapping Physics: FluidFlower Benchmark Study. Transport in Porous Media, 151(5), 1053–1070. https://doi.org/10.1007/s11242-023-01987-5
Wen, G., Li, Z., Long, Q., Azizzadenesheli, K., Anandkumar, A., & Benson, S. M. (2023). Real-time high-resolution CO2 geological storage prediction using nested Fourier neural operators. Energy & Environmental Science, 16(4), 1732–1741. https://doi.org/10.1039/d2ee04204e
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Mustafa M. Mansour, Alaa M. Lafta, Haider Sami Salman, Sarah R. Nashee, Ahmed J. Shkarah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Emerging Science and Engineering published by BIORE Scientia Academy