TY - CHAP
T1 - Control of cyclic distillation systems
AU - Bildea, Costin Sorin
AU - Pǎtruţ, Cǎtalin
AU - Kiss, Anton A.
PY - 2014
Y1 - 2014
N2 - Cyclic distillation is a process intensification technique that allows key benefits such as increased column throughput, lower energy requirements and higher separation performance. Despite these advantages, the application to industrial processes is limited, mainly due to serious controllability concerns. To address this challenge, this study is the first to prove that cyclic distillation is also well controllable, hence being able to provide in practice the expected key economic benefits. In this work we developed a dynamic model which consists of two non-linear functions that map the initial conditions to the system state at the end of vapor and liquid periods, respectively, by solving the dynamic mass balance together with equilibrium relationships. A periodic state is reached when the initial condition is attained after successive application of the two maps. A discrete-time controller is used, with the temperatures in the lower and upper parts of the column as controlled variables and the vapor flow rate and the amount of liquid reflux as manipulated variable. A case study is presented, proving that the discrete PI algorithm in the velocity form gives excellent performance. Thus, the system is able to cope with changes in the feed flow rate and composition.
AB - Cyclic distillation is a process intensification technique that allows key benefits such as increased column throughput, lower energy requirements and higher separation performance. Despite these advantages, the application to industrial processes is limited, mainly due to serious controllability concerns. To address this challenge, this study is the first to prove that cyclic distillation is also well controllable, hence being able to provide in practice the expected key economic benefits. In this work we developed a dynamic model which consists of two non-linear functions that map the initial conditions to the system state at the end of vapor and liquid periods, respectively, by solving the dynamic mass balance together with equilibrium relationships. A periodic state is reached when the initial condition is attained after successive application of the two maps. A discrete-time controller is used, with the temperatures in the lower and upper parts of the column as controlled variables and the vapor flow rate and the amount of liquid reflux as manipulated variable. A case study is presented, proving that the discrete PI algorithm in the velocity form gives excellent performance. Thus, the system is able to cope with changes in the feed flow rate and composition.
KW - Control
KW - Cyclic distillation
KW - Dynamics
KW - Modelling
UR - http://www.scopus.com/inward/record.url?scp=84902976979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902976979&partnerID=8YFLogxK
U2 - 10.1016/B978-0-444-63456-6.50099-5
DO - 10.1016/B978-0-444-63456-6.50099-5
M3 - Chapter
AN - SCOPUS:84902976979
T3 - Computer Aided Chemical Engineering
SP - 589
EP - 594
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -