A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation

With the increasing global demands for energy, fuel supply management is a challenging task of today’s industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel supply network, Liquefied Natural Gas (LNG) is suggested as one of the best choices for manufacturers. As the consumption rate of LNG is increasing dramatically in the world, many companies try to carry this product all around the world by themselves or outsource it to third-party companies. However, the challenge is that the transportation of LNG requires specific vessels and there are many clauses in related LNG transportation contracts which may reduce the revenue of these companies, it seems essential to find the best option for them. The aim of this paper is to propose a meta-heuristic Binary Particle Swarm Optimization (BPSO) algorithm to come with an optimized solution for ship routing and scheduling of LNG transportation. The application demonstrates what sellers need to do to reduce their costs and increase their profits by considering or removing some obligations

Study of Energy Consumption for CO2 Removal Using Gas Twister Systems in Natural Gas Production and Related Attributes

Out of the total world natural gas reserves, more than 40% of it are estimated to be sour that is high in hydrogen sulfide and carbon dioxide. Sour natural gas poses bigger challenges in harvesting and processing it. In this study, steady state simulations of the natural gas production facility that uses supersonic gas separation technology of gas twister are developed using Aspen HYSYS. The simulations are used to study the total energy consumption of the topside facility that uses the Gas Twister system. The amount of hydrocarbon lost from the whole system is also being paid attention to. The total energy consumption is studied by varying the CO2 loading of the natural gas and the arrival conditions of natural gas. Four case studies are conducted in order to achieve the objectives of the research. The results of this research show some notable trends that are crucial in the removal of CO2 from sour natural gas. The production facility uses less energy for a high CO2 concentration natural gas and the arrival temperature and arrival pressure of the natural gas affects the work produced by the turbo expander

Study of Energy Consumption for CO2 Removal Using Gas Twister Systems in Natural Gas Production and Related Attributes

Out of the total world natural gas reserves, more than 40% of it are estimated to be sour that is high in hydrogen sulfide and carbon dioxide. Sour natural gas poses bigger challenges in harvesting and processing it. In this study, steady state simulations of the natural gas production facility that uses supersonic gas separation technology of gas twister are developed using Aspen HYSYS. The simulations are used to study the total energy consumption of the topside facility that uses the Gas Twister system. The amount of hydrocarbon lost from the whole system is also being paid attention to. The total energy consumption is studied by varying the CO2 loading of the natural gas and the arrival conditions of natural gas. Four case studies are conducted in order to achieve the objectives of the research. The results of this research show some notable trends that are crucial in the removal of CO2 from sour natural gas. The production facility uses less energy for a high CO2 concentration natural gas and the arrival temperature and arrival pressure of the natural gas affects the work produced by the turbo expander

SIMULATION AND MULTI-OBJECTIVE OPTIMIZATION OF COLD-END SEPARATION PROCESS OF AN ETHYLENE PLANT

Master'sMASTER OF ENGINEERIN