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Process and controller configuration of high purity binary distillation columns in the purification stage of petrochemical plant
Ekawati E.a, Hersaputri M.a, Tamba T.A.a
a Instrumentation and Control Research Group, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.This paper reports the systematic selection of process and controller configurations of four distillation columns operated at purification stage in an olefin petrochemical plant. These columns were demethanizer, deethanizer, depropanizer #1 and depropanizer #2 columns, which separated ethane (C2H6) and propane (C3H8) from methane (CH4) and other heavier components (i.e. C4+). The interconnection of these unit processes propagate the noise and cause severe instabilities towards the final unit process. Therefore, the decision about the choice of the process and control configuration is important in order to ensure the process stability. Such a decision includes the pairing of the manipulated and the controlled variables, the control rules and the inclusion of surge tanks to buffer the disturbances that caused the mentioned instabilities. In particular, the assessment selected three out of six control pairings available for distillation columns. A Proportional – Integral (PI) controller was utilized for all control pairs, and tuned by the Ziegler-Nichols method. In addition, two surge tanks were added as buffers between the demethanizer, the deethanizer and the depropanizer columns. This approach yields the process configuration that was capable of absorbing the disturbance, ensuring a 98-99% product purity and keeping a bias under 2%.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Binary distillation columns,Control configuration,Controlled variables,Mixed-integer nonlinear programming,Process configuration,Process stability,Proportional integral controllers,Ziegler-Nichols method[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Distillation Columns,Nonlinear Mixed Integer Nonlinear Programming,Surge Tanks[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICA.2017.8068418[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]