TY - JOUR
AB - This research presents the implementation of a dynamic optimization strategy in transesterification via tubular reactor process to determine an optimal operating concentration policy maximizing concentration of biodiesel product to a product quality constraint, i.e., the requirement of coefficient of variation. Instead of assuming the perfect tracking of the optimal concentration profile, a nonlinear model predictive control (MPC) is applied to track the obtained optimal concentration policy. As feedback information of states at each time step is required in the MPC algorithm. A first-order finite difference approximation was used for this simulation. The partial derivatives in z-direction are solved to ordinary differential equations (ODEs) by the method of lines (MOL). The result of numerical integration can be optimized by using MATLAB. The manipulated variable is flow rate of cooling water. The optimization study obtains that these set points of reactor's temperature can be calculated and controlled in a sufficiently performance. The operating cost is reduced with the less IAE and higher robustness. This control can be developed for an economic reduction for the future industry of biodiesel.
AD - Chulalongkorn Univ, Fac Engn, Dept Chem Engn, Bangkok 10330, Thailand
AN - WOS:000396921600086
AU - Montriwasuwat, N.
AU - Kittisupakom, P.
AU - Lersbamrungsuk, V.
J2 - Lect Notes Eng Comp
KW - biodiesel
LA - English
N1 - Bh0xh
PY - 2012
SN - 2078-0958
SP - 1255-1258
ST - A Partial Differential Equations Model Predictive Control of Heterogeneous Transesterification Process for Biodiesel Production in Tubular Reactor
T2 - International Multiconference of Engineers and Computer Scientist, Imecs 2012, Vol Ii
TI - A Partial Differential Equations Model Predictive Control of Heterogeneous Transesterification Process for Biodiesel Production in Tubular Reactor
UR - ://WOS:000396921600086
ID - 7905
ER -