
The importance of control considerations for heat exchanger network synthesis: a case study
Author(s) -
Sérgio Oliveira,
Fábio S. Liporace,
O.Q.F. Araújo,
Eduardo M. Queiroz
Publication year - 2001
Publication title -
brazilian journal of chemical engineering/brazilian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.313
H-Index - 52
eISSN - 1678-4383
pISSN - 0104-6632
DOI - 10.1590/s0104-66322001000200007
Subject(s) - controllability , context (archaeology) , heat exchanger , degrees of freedom (physics and chemistry) , process (computing) , control theory (sociology) , a priori and a posteriori , computer science , controller (irrigation) , control (management) , control engineering , mathematical optimization , engineering , mathematics , mechanical engineering , artificial intelligence , paleontology , agronomy , philosophy , physics , epistemology , quantum mechanics , biology , operating system
Cost optimization in the synthesis decision tree often leads to a reduced degree of freedom which degrades the processs ability to reject disturbances as a consequence of low controllability. In fact, Heat Exchanger Networks (HENs) obtained by traditional synthesis procedures that ignore controllability aspects must be evaluated in this context a posteriori. The aim of this work was to develop a procedure that includes RGA and SVD measures of controllability, which are solely based on steady state information, thereby freeing the synthesis procedure of the cumbersome dynamic analysis. When a structure is defined during a traditional HEN synthesis procedure, a degree of freedom analysis is approached as a simulation problem. Next, an optimization is performed, since new variables are usually added to increase the degree of freedom of the HEN in order to render it controllable. A key point in the proposed procedure is the inference of controllability based on the proposed controllability measures, which also provide a control scheme by pairing controlled and manipulated variables during the process design. A HEN reported in the literature is used to illustrate the proposed procedure. The steady state simulator Aspen Plus and the dynamic simulator Aspen Dynamics (Aspentech, Inc.) were employed