背景イメージ

Recent Publications

Copies available upon request

2024

1. Okumura, T.; Yamaguchi, T.; Nishibe, S.; Numaguchi, R.; Kawajiri, Y., Modeling of moving bed CO2 capture process using amine solid adsorbent and its validation using pilot plant test data. International Journal of Greenhouse Gas Control 2024, 133.
2. El-Shafie, M.; Harada, H.; Yajima, T.; Tsuda, S.; Inazu, K.; Kawajiri, Y., A comprehensive analysis of ammonia synthesis over a commercial iron-based catalyst using differential and integral reactor models. Int. J. Hydrogen Energy 2024, 58 (8), 1009-1019.
3. Sugiyama, H.; Yamamoto, Y.; Suzuki, K.; Yajima, T.; Kawajiri, Y., Parameter estimation for reactive chromatography model by Bayesian inference and parallel sequential Monte Carlo. Chem. Eng. Res. Des. 2024, 203, 378-390.

2023

1. Yuan, Z.; Yamamoto, Y.; Yajima, T.; Kawajiri, Y., Estimation and statistical analysis of model parameters using sequential Monte Carlo for phenol and p-cresol separation. Journal of Chromatography A 2023, 1688, 463703.
2. Sugiura, Y.; Yajima, T.; Kawajiri, Y., Mapping adsorbent properties to optimal process performance of two-bed temperature swing adsorption by superstructure optimization. Chemical Engineering and Processing - Process Intensification 2023, 191.
3. Sugimoto, S.; Takakura, Y.; Kajiro, H.; Fujiki, J.; Dashti, H.; Yajima, T.; Kawajiri, Y., Modeling, parameter estimation, and uncertainty quantification for CO2 adsorption process using flexible metal–organic frameworks by Bayesian Monte Carlo methods. Journal of Advanced Manufacturing and Processing 2023.
4. Kuwabara, Y.; Tokunaga, T.; Moriyama, T.; Koizumi, M.; Mizuno, S.; Hagino, T.; Kusaka, S.; Matsuda, R.; Yajima, T.; Kawajiri, Y., Subambient temperature swing adsorption utilizing cold energy from liquefied natural gas. International Journal of Greenhouse Gas Control 2023, 126.
5. Kim, Y.; Kawajiri, Y.; Rousseau, R. W.; Grover, M. A., Modeling of Nucleation, Growth, and Dissolution of Paracetamol in Ethanol Solution for Unseeded Batch Cooling Crystallization with Temperature-Cycling Strategy. Ind. Eng. Chem. Res. 2023, 62 (6), 2866-2881.
6. Kakiuchi, T.; Yajima, T.; Shigaki, N.; Kawajiri, Y., Modeling and optimal design of multicomponent vacuum pressure swing adsorber for simultaneous separation of carbon dioxide and hydrogen from industrial waste gas. Adsorption 2023, 29, 9-27.
7. Fujiki, J.; Kajiro, H.; Takakura, Y.; Yajima, T.; Kawajiri, Y., Breakthrough analysis for parameter estimation of CO2 adsorption on pelletized flexible metal–organic framework. Chem. Eng. J. 2023, 460, 141781.
8. Harada, H.; Sinha, A.; Yajima, T.; Kawajiri, Y., Model-based techno-economic analysis of an integrated synthetic natural gas production system with direct air capture and water electrolysis. Carbon Capture Science and Technology (in press).

2022

1. Tsuboi, T.; Yasuda, S.; Choi, C.; Zhang, W.; Machida, H.; Norinaga, K.; Yajima, T.; Kawajiri, Y., Modeling and estimating kinetic parameters for CO2 methanation from fixed bed reactor experiments. Journal of Advanced Manufacturing and Processing 2022, 5 (1), e10145.
2. Takakura, Y.; Sugimoto, S.; Fujiki, J.; Kajiro, H.; Yajima, T.; Kawajiri, Y., Model-Based Analysis of a Highly Efficient CO2 Separation Process Using Flexible Metal–Organic Frameworks with Isotherm Hysteresis. ACS Sustainable Chemistry & Engineering 2022, 10 (45), 14935-14947.
3. Sinha, A.; Thakkar, H.; Rezaei, F.; Kawajiri, Y.; Realff, M. J., Reduced building energy consumption by combined indoor CO2 and H2O composition control. Applied Energy 2022, 322.
4. Shigaki, N.; Mogi, Y.; Kijima, H.; Kakiuchi, T.; Yajima, T.; Kawajiri, Y., Performance evaluation of gas fraction vacuum pressure swing adsorption for CO2 capture and utilization process. International Journal of Greenhouse Gas Control 2022, 120.
5. Kojima, S.; Park, J.; Carter, E. A.; Walton, K. S.; Realff, M. J.; Sholl, D. S.; Yajima, T.; Fujiki, J.; Kawajiri, Y., Discrepancy quantification between experimental and simulated data of CO2 adsorption isotherm using hierarchical Bayesian estimation. Sep. Purif. Technol. 2022, 296.
6. Harada, H.; Suzuki, K.; Sato, K.; Okada, K.; Tsuruta, M.; Yajima, T.; Kawajiri, Y., Process development for advanced simulated moving bed (ASMB) chromatography by parameter refinement using pilot plant experimental data. Sep. Purif. Technol. 2022, 281.
7. Suzuki, K.; Yajima, T.; Kawajiri, Y. In Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography, Computer Aided Chemical Engineering: Proceedings of the 14th International Symposium on Process Systems Engineering – PSE 2021+, Kyoto, Japan, Yamashita, Y.; Kano, M., Eds. Elsevier, B.V.: Kyoto, Japan, 2022; pp 943-948.
8. Kakiuchi, T.; Yajima, T.; Shigaki, N.; Kawajiri, Y., Modeling and Optimal Design of Pressure Swing Adsorber for Carbon Dioxide and Hydrogen Separation from Industrial Waste Gas. In 14th International Symposium on Process Systems Engineering – PSE 2021+, Yamashita, Y.; Kano, M., Eds. Kyoto, Japan, 2022.

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