Araştırma Makalesi

Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor

Cilt: 9 Sayı: 6 15 Kasım 2026
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Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor

Öz

This study comparatively investigates hydrogen production from biomethane and bioethanol in a Pd–Ag membrane reactor under identical reactor geometry, catalyst basis, membrane characteristics, and operating conditions. A one-dimensional non-isothermal model was developed in MATLAB, incorporating species balances, an axial energy balance, temperature-dependent reaction kinetics, and selective hydrogen permeation. A Ni/Al₂O₃ catalyst was considered for both fuels, and the feeds were normalized on an equal-carbon basis. The effects of inlet temperature and retentate pressure on fuel conversion, permeated hydrogen production, hydrogen recovery, and carbon-normalized hydrogen production were evaluated. A multi-objective Genetic Algorithm was then applied using inlet temperature, wall-temperature increment, steam-to-carbon ratio, and carbon molar feed rate as decision variables. Under baseline conditions, bioethanol achieved nearly complete conversion compared with approximately 40% for biomethane. Permeated hydrogen production increased from about 1.5 mmol s⁻¹ for biomethane to 4.3 mmol s⁻¹ for bioethanol, while hydrogen recovery increased from about 10% to 14%. Carbon-normalized hydrogen production was approximately 0.15 and 0.43 mol H₂ mol⁻¹ C, respectively. Increasing inlet temperature improved the performance of both fuels, particularly biomethane conversion, whereas pressure mainly enhanced hydrogen permeation and recovery. The Pareto-optimal solutions indicated that bioethanol generally occupied the more favorable performance region, while biomethane exhibited a stronger trade-off between fuel conversion and hydrogen-separation performance.

Anahtar Kelimeler

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Kaynakça

  1. Akintola, A. T., Lima, F. V., Palanki, S., & Tian, Y. (2025). Membrane reactor for sustainable hydrogen production: Modeling, simulation, and multiobjective optimization studies. Industrial & Engineering Chemistry Research, 64(29), 14429–14448. https://doi.org/10.1021/acs.iecr.5c01413
  2. Alrshdan, M. M., Ahmed, U., Elserfy, K., & Nemitallah, M. A. (2025). Hydrogen production through intensified steam methane reforming and hydrogen separation in a membrane reactor: Process modeling, optimization, and scaling-up. International Journal of Hydrogen Energy, 162, 150705. https://doi.org/10.1016/j.ijhydene.2025.150705
  3. Arratibel Plazaola, A., Pacheco Tanaka, D. A., Van Sint Annaland, M., & Gallucci, F. (2017). Recent advances in Pd-based membranes for membrane reactors. Molecules, 22(1), 51. https://doi.org/10.3390/molecules22010051
  4. Augusto, T. de M., Zambiazi, P. J., Arpini, B. H., Cunha, M. L. L., Colmenares, Y. N., Chagas, L. H., Gilliard-AbdulAziz, K. L., Appel, L. G., Brandon, N. P., Vidinha, P., & Rossi, L. M. (2026). Effect of promoters Co and Ru on Ni/CeO₂ catalysts in ethanol steam reforming for hydrogen production. International Journal of Hydrogen Energy, 249, 155958. https://doi.org/10.1016/j.ijhydene.2026.155958
  5. Azizimehr, B., Armaghani, T., Ghasemiasl, R., Kaabi Nejadian, A., & Javadi, M. A. (2024). A comprehensive review of recent developments in hydrogen production methods using a new parameter. International Journal of Hydrogen Energy, 72, 716–729. https://doi.org/10.1016/j.ijhydene.2024.05.219
  6. Bellal, M. N., Saouli, O., Masbah, A., & Drede, A. (2024). Modeling of a non-isothermal fixed bed reactor: 1D model for hydrogen production by steam methane reforming. Chemical Engineering Transactions, 114, 1087–1092. https://doi.org/10.3303/CET24114182
  7. Bobrova, L., Vernikovskaya, N., Eremeev, N., & Sadykov, V. (2022). Model-based performance analysis of membrane reactor with ethanol steam reforming over a monolith. Membranes, 12(8), 741. https://doi.org/10.3390/membranes12080741
  8. Chen, W.-H., Chou, W.-S., Rajendran, S., Hsu, S.-Y., & Ghorbani, M. (2024). Hydrogen production and geometry optimization of ethanol steam reforming combining water gas shift reaction in a crossflow membrane tube reactor. International Journal of Hydrogen Energy, 51, 637–653. https://doi.org/10.1016/j.ijhydene.2023.08.153

Ayrıntılar

Birincil Dil

İngilizce

Konular

Enerji

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Kasım 2026

Gönderilme Tarihi

21 Ağustos 2026

Kabul Tarihi

26 Eylül 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 9 Sayı: 6

Kaynak Göster

APA
Nalbant Atak, Y. (2026). Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor. Black Sea Journal of Engineering and Science, 9(6), 3185-3199. https://doi.org/10.34248/bsengineering.2023072
AMA
1.Nalbant Atak Y. Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor. BSJ Eng. Sci. 2026;9(6):3185-3199. doi:10.34248/bsengineering.2023072
Chicago
Nalbant Atak, Yagmur. 2026. “Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor”. Black Sea Journal of Engineering and Science 9 (6): 3185-99. https://doi.org/10.34248/bsengineering.2023072.
EndNote
Nalbant Atak Y (15 Kasım 2026) Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor. Black Sea Journal of Engineering and Science 9 6 3185–3199.
IEEE
[1]Y. Nalbant Atak, “Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor”, BSJ Eng. Sci., c. 9, sy 6, ss. 3185–3199, Kas. 2026, doi: 10.34248/bsengineering.2023072.
ISNAD
Nalbant Atak, Yagmur. “Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor”. Black Sea Journal of Engineering and Science 9/6 (15 Kasım 2026): 3185-3199. https://doi.org/10.34248/bsengineering.2023072.
JAMA
1.Nalbant Atak Y. Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor. BSJ Eng. Sci. 2026;9:3185–3199.
MLA
Nalbant Atak, Yagmur. “Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor”. Black Sea Journal of Engineering and Science, c. 9, sy 6, Kasım 2026, ss. 3185-99, doi:10.34248/bsengineering.2023072.
Vancouver
1.Yagmur Nalbant Atak. Comparative Multi-Objective Genetic Algorithm Optimization of Hydrogen Production from Biomethane and Bioethanol in a Non-Isothermal Membrane Reactor. BSJ Eng. Sci. 15 Kasım 2026;9(6):3185-99. doi:10.34248/bsengineering.2023072