Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems
This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering...
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| Language: | English |
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Unviversity of Technology- Iraq
2025-01-01
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| Series: | Engineering and Technology Journal |
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| Online Access: | https://etj.uotechnology.edu.iq/article_186164_84fe0bb4f21415a5ba908a8ba44a215d.pdf |
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| author | S. Isaac C. Kadurumba H. Ugwu F. Abam |
| author_facet | S. Isaac C. Kadurumba H. Ugwu F. Abam |
| author_sort | S. Isaac |
| collection | DOAJ |
| description | This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. Liquid nitrogen pumping in hydrocarbon and allied fluids piping systems involves a heat and mass transfer process where by liquid nitrogen flows from the storage tank to the pump unit and is converted to the gaseous state in an integrated heat exchanger. The continuous high pressure from the triplex reciprocating pump pushes the gaseous nitrogen to the hydrocarbon and allied fluids piping systems. Hence, the pumping is for purging, inerting, or pneumatic testing of the piping systems. Thus, the pumping process was parameterized and parametrically characterized to define the performance and control parameters quantitatively. Surrogate optimization models were formulated using an efficient response surface method. Since the models are multiparametric, multi-objective genetic algorithms were utilized to provide global optimal solution sets for the models. The results show that 3.79% decrease in pressurized volume of the piping systems, 1.48% decrease in test pressure of the piping systems, 3.42% increase in maximum discharge pressure of the liquid nitrogen pump and 1.08% increase in maximum flow rate of the liquid nitrogen pump across test packs increased total volume of liquid nitrogen pumped by 40.00%, decreased test duration by 0.70%, decreased pumping duration by 0.70% and increased total volume of liquid nitrogen used by 8.00% and vice versa. |
| format | Article |
| id | doaj-art-090351741ef148d2914908428def56cb |
| institution | Kabale University |
| issn | 1681-6900 2412-0758 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj-art-090351741ef148d2914908428def56cb2025-02-02T07:51:22ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582025-01-0143110111410.30684/etj.2024.155144.1846186164Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systemsS. Isaac0C. Kadurumba1H. Ugwu2F. Abam3Mechanical Engineering Dept., Abia State University, PMB 2000 Uturu, Abia State, Nigeria. Mechanical Engineering Dept., Michael Okpara University, Umudike, Abia State, Nigeria.Mechanical Engineering Dept., Michael Okpara University, Umudike, Abia State, Nigeria.Mechanical Engineering Dept., Michael Okpara University, Umudike, Abia State, Nigeria.Mechanical Engineering Dept., University of Calabar, Calabar, Cross Rivers State, Nigeria.This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. Liquid nitrogen pumping in hydrocarbon and allied fluids piping systems involves a heat and mass transfer process where by liquid nitrogen flows from the storage tank to the pump unit and is converted to the gaseous state in an integrated heat exchanger. The continuous high pressure from the triplex reciprocating pump pushes the gaseous nitrogen to the hydrocarbon and allied fluids piping systems. Hence, the pumping is for purging, inerting, or pneumatic testing of the piping systems. Thus, the pumping process was parameterized and parametrically characterized to define the performance and control parameters quantitatively. Surrogate optimization models were formulated using an efficient response surface method. Since the models are multiparametric, multi-objective genetic algorithms were utilized to provide global optimal solution sets for the models. The results show that 3.79% decrease in pressurized volume of the piping systems, 1.48% decrease in test pressure of the piping systems, 3.42% increase in maximum discharge pressure of the liquid nitrogen pump and 1.08% increase in maximum flow rate of the liquid nitrogen pump across test packs increased total volume of liquid nitrogen pumped by 40.00%, decreased test duration by 0.70%, decreased pumping duration by 0.70% and increased total volume of liquid nitrogen used by 8.00% and vice versa.https://etj.uotechnology.edu.iq/article_186164_84fe0bb4f21415a5ba908a8ba44a215d.pdfliquid nitrogen pumpingpiping systems leak testmetaheuristic optimizationprocess efficiencyenergycost minimization |
| spellingShingle | S. Isaac C. Kadurumba H. Ugwu F. Abam Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems Engineering and Technology Journal liquid nitrogen pumping piping systems leak test metaheuristic optimization process efficiency energy cost minimization |
| title | Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| title_full | Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| title_fullStr | Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| title_full_unstemmed | Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| title_short | Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| title_sort | metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems |
| topic | liquid nitrogen pumping piping systems leak test metaheuristic optimization process efficiency energy cost minimization |
| url | https://etj.uotechnology.edu.iq/article_186164_84fe0bb4f21415a5ba908a8ba44a215d.pdf |
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