The paper discusses optimal operation of a general heat exchanger network w
ith given structure, heat exchanger areas and stream data including predefi
ned disturbances. A formulation of the steady state optimization problem is
developed, which is easily adapted to any heat exchanger network. Using th
is model periodically for optimization, the operating conditions that minim
ize utility cost are found. Setpoints are constant from one optimization to
the next, and for implementing the optimal solution special attention is p
aid to the selection of controlled variables such that the operation is ins
ensitive to uncertainties (unknown disturbances and model errors). This is
the idea of self-optimizing control. In addition to heat exchanger networks
, the proposed method may also be applied to other processes where the opti
mum lies at the intersection of constraints. (C) 1999 Elsevier Science Ltd.
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