V. R. , Radhakrishnan and K. M. , Tan and H., Zabiri (2004) MODELING OF A LIQUEFIED NATURAL GAS (LNG)DEPROPANISER COLUMN. In: SOMChE 2004, 12-14 December, 2004, UTP.

[img] PDF
Restricted to Registered users only



The removal of the condensable higher molecular weight constifuents from natural gas prior to its liquefaction is very important both from the technical and economic aspects-of the process. The higher molecular weight constituents like propanes, butanes, and pentanes have to be removed to very low levels from the methane content, so that the subsequent cryogenic _units can operate properly. Further, the higher molecular weight components have higher economic value and need to be sepaiated to realize betJer economic potential from the natural gas (NG) facility. The major process in the NG pretreatment to achieve the above objective is the distillation chain consisting of a chain of 4 distillation columns, namely, the demethaniser, deethaniser, depropaniser and the debutaniser' The high value of propane as a refrigerant for internal use in the cryogenic s-y,stemsm, akes its operation very critical to the overall economics of the plant. In viJw of this, Advanced Process Control techniques are often used for the control of this column. To develop proper APC strategies for the column it is essential to have a distillation column model. This paper presents certain preliminary work in developing a suitable column model for the depropaniser column. The column modeled'is "a +7-stage depro-panisecro lumn processing6 26.4 torslday of feed.T he column pressureis 1g.56b ar. The feed contains 6 components propane, i- and n- Butane, I and n- pentane and n- !9xqe The inputs to the simulation were the feed concentrations, flow rate and the distillate concentration. The model was solved from the bottom plate up, going from stage to stage. The material balance and temperature convergen.. rv.i. obtainJ usi"ng the theia convergence method. After the temperature has converged, the liquid and vapor flow rates were corected using the energy balances. The model developed in the study was able to predict the plate compositions of an existing industrial column to good accuracy. The model was used for generating answerst o many WHAT-IF tlpe of q:uestionsw; hilh can be used for plant optimization.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3868
Deposited By: Haslinda Zabiri
Deposited On:18 Jan 2011 07:48
Last Modified:19 Jan 2017 08:27

Repository Staff Only: item control page

Document Downloads

More statistics for this item...