Heat exchanger networks are widely employed in the chemical processing industries to recover energy, resulting in reduced operating costs. Several methodologies can be found in the literature for the design of heat exchanger networks. Typical criteria are maximum energy recovery and minimum heat transfer area. However, the heat integration of process streams can lead to process structures that ...

in this paper, a new systematic design methodology has been developed for thes imultaneous energy and water minimization in multiple-contaminant systems that also feature maximum re-use of water. in addition to allowing re-use of water in multiple-contaminant systems, issues about heat losses and flowrate changes inside unit operations have also been incorporated in this new design method. to i...

in this paper, to address the effect of reactor performance and configuration of biodiesel production on subsequent process parameters (including mass & energy consumption, required facilities etc.) two diverse biodiesel production processes (from plant oil) were implemented/designed using aspen hysys v7.2. two series reactors were taken into account in these designs where in the first and seco...

Customarily, the LMTD correction factor, FT, is used to screen alternative designs for a heat exchanger. Designs with unacceptably low FT values are discarded. In this paper, authors have proposed a more fundamental criterion, based on feasibility of a multipass exchanger as the only criteria, followed by economic optimization. This criterion, coupled with asymptotic energy targets, provide the...

This paper describes modeling and on-line optimization of a crude unit heat exchanger network at the Statoil Mongstad re nery. The objective is to minimize the energy input in the gas red heater by optimally distributing the cold crude oil in the heat exchanger network. The steady state mass and energy balance of the 20 heat exchangers in the network yields the process model. This model is tted...

In this paper, a neural network based predictive controller is designed to govern the dynamics of a heat exchanger pilot plant. Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a better match in a predictive control strategy. Advantages of neural networks for the process modeling are studied and a neural network based predictor is designed, trained a...

The paper discusses optimal operation of a general heat exchanger network with given structure, heat exchanger areas and stream data including predefined disturbances. A formulation of the steady state optimization problem is developed, which is easily adapted to any heat exchanger network. Using this model periodically for optimization, the operating conditions that minimize utility cost are f...

Heat exchangers: types .................................................................................................................................. 1 Plate heat exchangers ................................................................................................................................ 4 Shell-and-tube heat exchangers ............................................................