286
Y. Xu et al.
References
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International Conference on Energy and Environment (2017)
2. Kundu, S., Hasan, A., Sowgath, M.T.: Forecasting parameter of Kailashtilla gas processing plant using neural network. In: International Conference on Electrical and Computer
Engineering (2013)
3. Qeshta, H.J., et al.: Sweetening liquefied petroleum gas (LPG): parametric sensitivity analysis
using Aspen HYSYS. J. Nat. Gas Sci. Eng. 26, 1011–1017 (2015)
4. Liu, Z., Karimi, I.A.: Simulation of a combined cycle gas turbine power plant in Aspen
HYSYS. Energy Procedia 158, 3620–3625 (2019)
5. Saadi, T., Jeday, M.-R., Jaubert, J.N.: Exergetic analysis of an LPG production plant using
HYSYS software. Energy Procedia 157, 1385–1390 (2019)
6. Al-Lagtah, N.M.A., et al.: Optimization and performance improvement of Lekhwair natural
gas sweetening plant using Aspen HYSYS. J. Nat. Gas Sci. Eng. 26, 367–381 (2015)
7. Cao, M.A., Patrascioiu, C., Paraschiv, N.: Modeling and dynamic simulation of propanepropylene distillation column with heat pump using Aspen Hysys. In: System Theory, Control
and Computing (ICSTCC) (2019)
8. Ahmadgurabi, R.S., Nekoui, M.A., Salahshoor, K.: Design and implementation of an adaptive predictive controller for a nonlinear dynamic industrial plant using Hysys and Matlab
simulation packages. In: 2010 International Conference on Control Automation and Systems
(ICCAS) (2010)
9. Alaei, H.K., Salahshoor, K., Alaei, H.K.: Model predictive control of distillation column
based recursive parameter estimation method using HYSYS simulation. In: International
Conference on Intelligent Computing & Cognitive Informatics (2010)
10. Babaie, O., Nasr Esfahany, M.: Optimization and heat integration of hybrid R-HIDiC and
pervaporation by combining GA and PSO algorithm in TAME synthesis. Sep. Purif. Technol.
236, 116288 (2020)
11. Bayoumy, S.H., El-Marsafy, S.M., Ahmed, T.S.: Optimization of a saturated gas plant:
meticulous simulation-based optimization – a case study. J. Adv. Res. 22, 21–33 (2019)
12. Long, N.V.D., et al.: Particle swarm optimization methodology for optimal distillation retrofit.
J. Chem. Eng. Jpn 52(4), 333–341 (2019)
13. Yang, H.J., Hwang, K.S., Lee, C.J.: Stochastic optimization of a natural gas liquefaction
process considering seawater temperature variation based on particle swarm optimization.
Ind. Eng. Chem. Res. 57(6), 2200–2207 (2018)
14. Biyanto, T.R., et al.: Optimization of acid gas sweetening plant based on least squares—
support vector machine (LS-SVM) model and grey wolf optimizer (GWO). In: International
Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM) (2016)
15. Ma, L., et al.: Energy consumption optimization of high sulfur natural gas purification plant
based on back propagation neural network and genetic algorithms. Energy Procedia 105,
5166–5171 (2017)
16. Li, Q., et al.: Energy consumption optimization of natural gas purification device based on
HYSYS and GA. Nat. Gas. Ind. 31(9), 102–106 (2011)
17. Ji, N.: Research on Simulation and Energy Optimization Design of Natural Gas Dehydration
Device. Southwest Petroleum University, China (2017)
18. Wang, X., et al.: Study on optimization of energy-saving parameters for natural gas
purification. Nat. Gas Oil 1, 41–43 (2013)
19. Ji, C.: Energy Consumption Evaluation and Energy Saving Research of Natural Gas
Purification Process. Northeast Petroleum University, China (2015)
20. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: International
Symposium on Micro Machine & Human Science (2002)
Y. Xu et al.
References
1. Dinca, C., Slavu, N., Badea, A.: CO2 adsorption process simulation in ASPEN Hysys. In:
International Conference on Energy and Environment (2017)
2. Kundu, S., Hasan, A., Sowgath, M.T.: Forecasting parameter of Kailashtilla gas processing plant using neural network. In: International Conference on Electrical and Computer
Engineering (2013)
3. Qeshta, H.J., et al.: Sweetening liquefied petroleum gas (LPG): parametric sensitivity analysis
using Aspen HYSYS. J. Nat. Gas Sci. Eng. 26, 1011–1017 (2015)
4. Liu, Z., Karimi, I.A.: Simulation of a combined cycle gas turbine power plant in Aspen
HYSYS. Energy Procedia 158, 3620–3625 (2019)
5. Saadi, T., Jeday, M.-R., Jaubert, J.N.: Exergetic analysis of an LPG production plant using
HYSYS software. Energy Procedia 157, 1385–1390 (2019)
6. Al-Lagtah, N.M.A., et al.: Optimization and performance improvement of Lekhwair natural
gas sweetening plant using Aspen HYSYS. J. Nat. Gas Sci. Eng. 26, 367–381 (2015)
7. Cao, M.A., Patrascioiu, C., Paraschiv, N.: Modeling and dynamic simulation of propanepropylene distillation column with heat pump using Aspen Hysys. In: System Theory, Control
and Computing (ICSTCC) (2019)
8. Ahmadgurabi, R.S., Nekoui, M.A., Salahshoor, K.: Design and implementation of an adaptive predictive controller for a nonlinear dynamic industrial plant using Hysys and Matlab
simulation packages. In: 2010 International Conference on Control Automation and Systems
(ICCAS) (2010)
9. Alaei, H.K., Salahshoor, K., Alaei, H.K.: Model predictive control of distillation column
based recursive parameter estimation method using HYSYS simulation. In: International
Conference on Intelligent Computing & Cognitive Informatics (2010)
10. Babaie, O., Nasr Esfahany, M.: Optimization and heat integration of hybrid R-HIDiC and
pervaporation by combining GA and PSO algorithm in TAME synthesis. Sep. Purif. Technol.
236, 116288 (2020)
11. Bayoumy, S.H., El-Marsafy, S.M., Ahmed, T.S.: Optimization of a saturated gas plant:
meticulous simulation-based optimization – a case study. J. Adv. Res. 22, 21–33 (2019)
12. Long, N.V.D., et al.: Particle swarm optimization methodology for optimal distillation retrofit.
J. Chem. Eng. Jpn 52(4), 333–341 (2019)
13. Yang, H.J., Hwang, K.S., Lee, C.J.: Stochastic optimization of a natural gas liquefaction
process considering seawater temperature variation based on particle swarm optimization.
Ind. Eng. Chem. Res. 57(6), 2200–2207 (2018)
14. Biyanto, T.R., et al.: Optimization of acid gas sweetening plant based on least squares—
support vector machine (LS-SVM) model and grey wolf optimizer (GWO). In: International
Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM) (2016)
15. Ma, L., et al.: Energy consumption optimization of high sulfur natural gas purification plant
based on back propagation neural network and genetic algorithms. Energy Procedia 105,
5166–5171 (2017)
16. Li, Q., et al.: Energy consumption optimization of natural gas purification device based on
HYSYS and GA. Nat. Gas. Ind. 31(9), 102–106 (2011)
17. Ji, N.: Research on Simulation and Energy Optimization Design of Natural Gas Dehydration
Device. Southwest Petroleum University, China (2017)
18. Wang, X., et al.: Study on optimization of energy-saving parameters for natural gas
purification. Nat. Gas Oil 1, 41–43 (2013)
19. Ji, C.: Energy Consumption Evaluation and Energy Saving Research of Natural Gas
Purification Process. Northeast Petroleum University, China (2015)
20. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: International
Symposium on Micro Machine & Human Science (2002)