Journal of Hydrogen and New Energy (한국수소및신에너지학회논문집)

The Korean Hydrogen and New Energy Society (한국수소및신에너지학회)
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Design of Cooling System for Thermochemical CO2 Methanation Isothermal Reactor

열화학적 CO2 메탄화 등온반응기의 수순환 냉각시스템 설계

  • Received : 2022.04.08
  • Accepted : 2022.07.27
  • Published : 2022.08.30
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Abstract

CFD analysis including optimization process was conducted to design shell and tube CO2 methanation reactor cooling system. The high-pressure saturated water flowed into the cooling system and was evaporated by heat flux from reacting tubes. The optimization process decided the gap between tubes and reactor diameter to satisfy objective functions related to temperature. The results showed that the gap and diameter reduced about 30% and 3.6% respectively. Averaged surface temperature satisfied the target value and the min-max deviation was minimized.

Keywords

Acknowledgement

본 연구는 2019년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다(NO. 2019281010007B).

References

  1. D. K. Seo, J. H. Lee, J. H. Chi, J. P. Hong, and S. I. Oh, "Numerical study on high temperature CO-shift reactor in IGFC", Trans Korean Hydrogen New Energy Soc, Vol. 29, No. 4, 2018, pp. 324-330, doi: https://doi.org/10.7316/KHNES.2018.29.4.324.
  2. G. Yeom, M. Seo, and Y. Bae, "A study on the CO2 methanation in power to gas (P2G) over Ni-catalysts", Trans Korean Hydrogen New Energy Soc, Vol. 30, No. 1, 2019, pp. 14-20, doi: https://doi.org/10.7316/KHNES.2019.30.1.14.
  3. R. C. Brown, "Thermochemical processing of biomass: conversion into fuels, chemicals and power", 2nd ed, WILEY, USA, 2011, doi: https://doi.org/10.1002/9781119417637.
  4. S. H. Hosseini, B. Mahmoodi, and G. Ahmadi, "CFD simulation of industrial methanol reactor", The 7th National Conference on CFD Applications in Chemical & Petroleum Industries, 2016. Retrieved from A) https://www.researchgate.net/profile/Seyyed-Hossein-Hosseini-2/publication/309807145.
  5. A. D. Nardo, G. Calchetti, C. Bassano, and P. Deiana, "CO2 methanation in a shell and tube reactor CFD simulations: high temperatures mitigation analysis", Chemical Engineering Science, Vol. 246, 2021, pp. 116871, doi: https://doi.org/10.1016/j.ces.2021.116871.
  6. P. Sabatier and J. B. Senderens, "Direct hydrogenation of oxides of carbon in presence of various finely divided metals", C. R. Acad. Sci., Vol. 134, 1902, pp. 689-691.
  7. ANSYS, "ANSYS fluent theory guide", ANSYS Inc. Southpointe 2600 ANSYS Drive Canonsburg, PA 15317 ansysinfo@ansys.com http://www.ansys.com.
  8. W. Rodi and G. Scheurer, "Scrutinizing the k-ε turbulence model under adverse pressure gradient conditions", J. Fluids Eng., Vol. 108, No. 2, 1986, pp. 174-179, doi: https://doi.org/10.1115/1.3242559.
  9. M. Ahmadi, F. Vahabzadeh, B. Bonakdarpour, E. Mofarrah, and M. Mehranian, "Application of the central composite design and response surface methodology to the advanced treatment of olive oil processing wastewater using Fenton's peroxidation", Journal of Hazardous Materials, Vol. 123, No. 1-3, 2005, pp. 187-195, doi: https://doi.org/10.1016/j.jhazmat.2005.03.042.
  10. G. E. P. Box and N. R. Draper, "Empirical model building and response surfaces", John Wiley & Sons, USA, 1987.
  11. M. Y. M. Ahmed and N. Qin, "Comparison of response surface and Kriging surrogates in aerodynamic design optimization of hypersonic spiked blunt bodies", 13th International Conference on Aerospace Sciences & Aviation Technology, Vol. 13, 2009, pp. 1-17. Retrieved from: https://www.semanticscholar.org/paper/Comparison-of-Response-Surface-and-Kriging-in-of-Ahmed-Qin/4f0e28cdac8678e924e72de672164d1de8107638.
  12. H. Lee, J. Lee, D. Kim, and J. Cho, "Optimization of pre-swirl nozzle shape and radial location to increase discharge coefficient and temperature drop", J. Mech. Sci. Technol., Vol. 33, 2019, pp. 4855-4866, doi: https://doi.org/10.1007/s12206-019-0926-5.
  13. A. Samad and K. Y. Kim, "Multi-objective optimization of an axial compressor blade", J. Mech. Sci. Technol., Vol. 22, No. 5, 2008, pp. 999-1007, doi: https://doi.org/10.1007/s12206-008-0122-5.
  14. K. Deb, S. Agrawal, A. Pratap and T. Meyarivan, "A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II", In: , et al. Parallel Problem Solving from Nature PPSN VI. PPSN 2000. Lecture Notes in Computer Science, vol 1917. Springer, Berlin, Heidel-berg, doi: https://doi.org/10.1007/3-540-45356-3_83.