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Plate Heat Exchanger — DWSIM Unit Operation

Plate Heat Exchanger (PHE) is an external unit operation for DWSIM that simulates single-phase heat exchange between two process streams using chevron-corrugated plates with rigorous heat transfer and pressure drop correlations.


Key Features

  • Rigorous Theory


    Martin (1996) generalised Leveque-type Nusselt correlation for chevron plates, Kumar (1984) friction factor correlation with chevron angle correction, and the effectiveness-NTU method for direct outlet temperature prediction.

    Theory

  • User Guide


    Step-by-step instructions for configuring geometry, connecting streams, setting fouling resistances, and interpreting results in DWSIM.

    User Guide

  • Validated Results


    Test cases validated against analytical solutions and literature data for single-phase water-water and water-oil duties across laminar and turbulent regimes.

    Validation

Plate Heat Exchanger calculation workflow diagram
Figure 1. Plate Heat Exchanger — Calculation Workflow

Capabilities

Feature Description
Streams 2 streams (one hot, one cold)
Calculation Mode Design — calculates heat duty, outlet temperatures, and pressure drops from plate geometry
Flow Arrangement Counterflow and co-current (parallel flow)
Heat Transfer Martin (1996) generalised Leveque Nusselt correlation for chevron corrugated plates
Pressure Drop Kumar (1984) friction factor correlation with chevron angle correction
Overall Coefficient Rigorous \(U\) from convective coefficients, wall conduction, and fouling resistances
Thermal Method Effectiveness-NTU for counterflow and co-current configurations
Property Evaluation Iterative solver with properties evaluated at average stream temperatures
Heat Leak Optional heat leak/gain to surroundings, split 50/50 between both streams
Solver Iterative convergence on outlet temperatures with PH flash integration
Units Automatic conversion to/from DWSIM unit system

About AI4Tech

AI4Tech — Artificial Intelligence for Technology
AI is a culture, our culture!
This unit operation was developed by Prof. Dr. Nicolas Spogis — Process Engineering & AI Specialist, founder of AI4Tech.