  Oil refinery is one of industries that require huge energy consumption. The
today technology advance requires energy saving. Heat integration is a method
used to minimize the energy comsumption though the implementation of Heat
Exchanger Network (HEN). CPT is one of types of Heat Exchanger Network (HEN)
that functions to recover the heat in the flow of product or waste. HEN
comprises a number of heat exchangers (HEs) that are serially connected.
However, the presence of fouling in the heat exchanger has caused the decline
of the performance of both heat exchangers and all heat exchanger networks.
Fouling can not be avoided. However, it can be mitigated. In industry, periodic
heat exchanger cleaning is the most effective and widely used mitigation
technique. On the other side, a very frequent cleaning of heat exchanger can be
much costly in maintenance and lost of production. In this way, an accurate
optimization technique of cleaning schedule interval of heat exchanger is very
essential. Commonly, this technique involves three elements: model to simulate
the heat exchanger network, representative fouling model to describe the
fouling behavior and suitable optimization algorithm to solve the problem of
clening schedule interval for heat exchanger network. This paper describe the
optimization of interval cleaning schedule of HEN within the 44-month period
using PSO (particle swarm optimization). The number of iteration used to
achieve the convergent is 100 iterations and the fitness value in PSO
correlated with the amount of heat recovery, cleaning cost, and additional
pumping cost. The saving after the optimization of cleaning schedule of HEN in
this research achieved at $ 1.236 millions or 23% of maximum potential savings.
