پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 31 |
| تعداد شمارهها | 834 |
| تعداد مقالات | 8,015 |
| تعداد مشاهده مقاله | 14,852,479 |
| تعداد دریافت فایل اصل مقاله | 9,586,505 |
Energy Optimization and Performance Enhancement of the LPG Recovery Unit in Refinery using Aspen HYSYS Simulation | ||
| Chemical Process Design | ||
| دوره 5، شماره 1، شهریور 2026، صفحه 122-133 اصل مقاله (1.12 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22111/cpd.2025.53775.1079 | ||
| نویسندگان | ||
| Abbas Ghareghashi* 1؛ Hossein Taghipoor2 | ||
| 1Department of Chemical Engineering, Engineering Faculty, Velayat University, Iranshahr, Iran. | ||
| 2Department of Mechanical Engineering, Engineering Faculty, Velayat University, Iranshahr, Iran. | ||
| چکیده | ||
| Enhancing the energy performance of liquefied petroleum gas (LPG) recovery units presents a significant challenge for refineries aiming to achieve greater efficiency while minimizing their environmental footprint. This study focuses on modeling and optimizing the LPG recovery unit at the Refinery using Aspen HYSYS. The aim is to assess its thermodynamic and operational performance. The simulation included the real setup of the deethanizer, depropanizer, and debutanizer columns, utilizing the Peng–Robinson equation of state to ensure precise predictions of vapor–liquid equilibria. The validation of the model against actual plant data demonstrated a high level of agreement, with deviations remaining within ±3% for key parameters such as temperature, pressure, and product composition. Through sensitivity analysis, it was found that the reboiler temperature and column pressure play a significant role in determining the purity of LPG and the overall energy requirements. By optimizing these parameters, a significant reduction in overall energy consumption was achieved, with a decrease of approximately 12% noted. At the same time, the purity of the LPG product remained above 97mol%, highlighting our commitment to efficiency and quality. The model that has been developed provides a reliable and flexible framework for the evaluation of processes, the integration of energy, and the optimization of operations within current refinery systems. The results play a crucial role in connecting process simulation with real-world industrial practices, resulting in energy management and sustainability efforts across the entire refinery. | ||
| کلیدواژهها | ||
| LPG recovery؛ Aspen HYSYS؛ Process simulation؛ Energy Optimization؛ Refinery efficiency | ||
| مراجع | ||
|
[1] Abdullah, A.S., Ayoob, H.W., Homod, R.Z., Mohammed, H.I., 2024. Enhancing liquefied petroleum gas production through debutanizer column optimization, Chemical Engineering Research and Design, 206, 242–250. https://doi.org/10.1016/j.cherd.2024.05.012
[2] Ali, U., Zafar, M., Ahmed, A., Zaman, H.K., Razzaq, A., Daood, S.S., Bashir, M. and Park, Y.K., 2021. Techno commercial analysis of liquefied petroleum gas recovery from natural gas using Aspen HYSYS. Frontiers in Energy Research, 9, 785827. https://doi.org/10.3389/fenrg.2021.785827
[3] Sifakis, N., Sarantinoudis, N., Tsinarakis, G., Politis, C. and Arampatzis, G., 2023. Soft sensing of LPG processes using deep learning. Sensors, 23(18), 7858. https://doi.org/10.3390/s23187858
[4] Atta, M.S., Khan, H., Ali, M., Tariq, R., Yasir, A.U., Iqbal, M.M., Din, S.U. and Krzywanski, J., 2024. Simulation of vacuum distillation unit in oil refinery: operational strategies for optimal yield efficiency. Energies, 17(15), 3806. https://doi.org/10.3390/en17153806
[5] Abdullah, A.S., Ayoob, H.W., Homod, R.Z. and Mohammed, H.I., 2024. Enhancing liquefied petroleum gas production through debutanizer column optimization. Chemical Engineering Research and Design, 206, 242-250. https://doi.org/10.22214/ijraset.2019.12070
[6] Qamar, R.A., Mushtaq, A., Ullah, A. and Ali, Z.U., 2020. Simulation of Liquefied Petroleum Gas Recovery from Off Gases in a Fuel Oil Refinery. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 73(1), 109-130. https://doi.org/10.37934/arfmts.73.1.109130
[7] Jabbar, K.J., Zein, S.H., Hasan, A.H., Ahmed, U. and Jalil, A.A., 2023. Process design Optimisation, heat integration, and techno-economic analysis of oil refinery: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 45(2), 4931-4947. https://doi.org/10.1080/15567036.2023.2205365
[8] Chiu, C.H., 1997. LPG-recovery processes for baseload LNG plants examined. Oil and Gas Journal, 95(47).
[9] Tehlah, N., Kaewpradit, P. and Mujtaba, I.M., 2017. Development of molecular distillation based simulation and optimization of refined palm oil process based on response surface methodology. Processes, 5(3), 40. https://doi.org/10.3390/pr5030040
[10] Sun, J., Zhou, R., Wang, L., Zeng, X., Hu, S., Yu, H. and Jiang, L., 2023. Process Simulation and Integration of Natural Gas Condensate Recovery Using Ethane–Propane Refrigerant Mixture. Processes, 11(8), 2495. https://doi.org/10.3390/pr11082495
[11] El Hakim, B.A., Abdel-Goad, M.A.H., Awad, M.E. and Shoaib, A.M., 2025. AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression. Scientific Reports, 15(1), 29249. https://doi.org/10.1038/s41598-025-13899-z
[12] Funakpo, B., Philomena, K.I., Joseph, T.N. and Matthew, N.A., 2025. Modeling, Simulafion and Analysis of Natural Gas Processing Routes Using HYSYS Design Applicafions. UNIZIK Journal of Engineering and Applied Sciences, 4(2), 2011-2023.
[13] Fissore, D. and Sokeipirim, D., 2011. Simulation and energy consumption analysis of a propane plus recovery plant from natural gas. Fuel Processing Technology, 92(3), 656-662. https://doi.org/10.1016/j.fuproc.2010.11.024
[14] H’ng, S.X., Ng, L.Y., Ng, D.K. and Andiappan, V., 2024. Optimisation of vacuum distillation units in oil refineries using surrogate models. Process Integration and Optimization for Sustainability, 8(2), 351-373. https://doi.org/10.1007/s41660-024-00395-6
[15] Shehata, A.I., Teamah, M.A., Hanfy, A.A. and Ali, A.A., 2015. The Simulation of Natural Gas Liquids (NGL) Separation Using Series of Distillation Columns. International journal of advanced science and Technical Research, 7.
[16] Le, S.N., Nguyen, K.V., Mahadzir, S.B. and Chen, C.L., 2015. Applying exergy analysis for simulation and optimization of the iso-butane recovery process from liquefied petroleum gas. Chemical Engineering Transactions, 45, 619-624. https://doi.org/10.3303/CET1545104
[17] Sun, J., Yu, H., Yin, Z., Jiang, L., Wang, L., Hu, S. and Zhou, R., 2023. Process simulation and optimization of fluid catalytic cracking unit’s rich gas compression system and absorption stabilization system. Processes, 11(7), 2140. https://doi.org/10.3390/pr11072140
[18] Jaime, J.A., Rodriguez, G., Betancourt, J.A. and Gil, I.D., 2023. Optimization and experimental validation of an extractive distillation system with solvents mixture as separating agent. Chemical Engineering and Processing-Process Intensification, 189, 109387. https://doi.org/10.1016/j.cep.2023.109387
[19] Rožanec, J.M., Trajkova, E., Lu, J., Sarantinoudis, N., Arampatzis, G., Eirinakis, P., Mourtos, I., Onat, M.K., Yilmaz, D.A., Košmerlj, A. and Kenda, K., 2021. Cyber-physical lpg debutanizer distillation columns: Machine-learning-based soft sensors for product quality monitoring. Applied Sciences, 11(24), 11790. https://doi.org/10.3390/app112411790
[20] García-Maza, S. and González-Delgado, Á.D., 2024. Robust simulation and technical evaluation of large-scale gas oil hydrocracking process via extended water-energy-product (E-WEP) analysis. Digital Chemical Engineering, 13, 100193. https://doi.org/10.1016/j.dche.2024.100193
[21] Al-Jamimi, H.A., BinMakhashen, G.M. and Saleh, T.A., 2022. Artificial intelligence approach for modeling petroleum refinery catalytic desulfurization process. Neural Computing and Applications, 34(20), 17809-17820. https://doi.org/10.1007/s00521-022-07423-x
[22] Song, C., Zhang, Z., Li, R., Lian, S., Guo, H., Jia, C. and Liu, Q., 2021. Optimization of membrane-cryogenic hybrid propane recovery process: From molecular to process simulation. Journal of Cleaner Production, 321, 129049. https://doi.org/10.1016/j.jclepro.2021.129049
[23] Bao, B., El-Halwagi, M.M. and Elbashir, N.O., 2010. Simulation, integration, and economic analysis of gas-to-liquid processes. Fuel Processing Technology, 91(7), 703-713. https://doi.org/10.1016/j.fuproc.2010.02.001
[24] Sarantinoudis, N., Tsinarakis, G., Dedousis, P. and Arampatzis, G., 2023. Model-based simulation framework for digital twins in the process industry. IEEE Access, 11, 111701-111714. https://doi.org/10.1109/ACCESS.2023.3322926
[25] Shen, F., Ren, S.S., Zhang, X.Y., Luo, H.W. and Feng, C.M., 2021. A digital twin‐based approach for optimization and prediction of oil and gas production. Mathematical Problems in Engineering, 2021(1), p.3062841. https://doi.org/10.1155/2021/3062841 | ||
|
آمار تعداد مشاهده مقاله: 161 تعداد دریافت فایل اصل مقاله: 148 |
||