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This repository helps the user to select optimum Delta Tmin and Designs Heat Exchanger Network with minimum possible area (Area Targeting) by using the classical Pinch method.

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Selection of Optimum ΔTmin and Area Targeting of Heat Exchanger Network Design by Classical Pinch Method

This project contains two Jupyter Notebooks for design of a Heat Exchanger Network.
The first Jupyter Notebook provides relevant data to the user to choose optimum Minimum Temperature Difference by considering the trade-off between Heat Exchanger Area and Utility Requirement.
Based on the data and costing information, the user selects a ΔTmin and a corresponding Heat Exchanger Network is designed with Minimum Possible Area in the second Jupyter Notebook by the Classical Pinch Method.

Input for finding Optimum Minimum Temperature Difference:


An Excel file containing:
  • Stream Information
  • Supply Temperature (°C)
  • Target Temperature (°C)
  • Heat Load (kW)

Overall Heat Transfer Coefficient (W/m2.K) prompted by the Jupyter Notebook

Output to choose Minimum Temperature Difference:


  • Graph of Minimum Area vs Minimum Hot Utility Required
  • Graph of Minimum Area vs ΔTmin
  • Graph of Minimum Utility vs ΔTmin

An Excel file of 100 rows containing:
  • ΔTmin (°C)
  • Pinch Temperature (°C)
  • Ideal Minimum Hot Utility Required (kW)
  • Ideal Minimum Cooling Utility Required (kW)
  • Ideal Minimum Area Required (m^2)

If the user has costing information, he/she can make a sound decision to choose optimum ΔTmin.

Input for Heat Exchanger Network Design:


An Excel file containing:
  • Stream Information
  • Supply Temperature (°C)
  • Target Temperature (°C)
  • Heat Load (kW)

ΔTmin (°C) prompted by the Jupyter Notebook

Output for Heat Exchanger Network Design:


  • Combined Composite Curve
  • Grand Composite Curve
  • Pinch in the Grid Representation
  • Temperature Interval Diagram

An Excel file containing:
  • Problem Table algorithm for Pinch Analysis
  • Table to generate Hot Composite Curve
  • Table to generate Cold Composite Curve
  • Table for Area Targeting of Heat Exchanger Network Design

Limitations


  • It is assumed that the Heat Capacity Flow Rate (FCp) of all the streams are constant from the Supply Temperature to the Target Temperature.
  • It is assumed that the Overall Heat Transfer Coefficient (U) is constant regardless of the stream matches.
  • It is assumed that the pressure drop a stream experiences while going through a heat exchanger is within its permissible limit and no extra compressor is required.
  • It is assumed that all the streams in heat exchanger undergo pure countercurrent flow.
  • The number of units required to achieve minimum overall surface area isn't specified.

References


  • The Pinch Design Method for Heat Exchanger Networks- B. Linnhoff and E.Hindmarsh Chemical Engineering Science Vol.38, No. 5, pp. 745-763, 1983

  • Cost Optimum Heat Exchanger Networks-I. Minimum Energy and Capital Using Simple Models for Capital Cost- B. Linnhoff and S. Ahmad Computers Chem. Eng. Vol. 14, No. 7, pp.729-750, 1990

About the Author:


This Github repository is made by Abhishek Kundu, currently a final year student pursuing Bachelor of Chemical Engineering course at Institute of Chemical Technology, Mumbai, India. He can be contacted on his LinkedIn profile here for feedback and criticism.

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This repository helps the user to select optimum Delta Tmin and Designs Heat Exchanger Network with minimum possible area (Area Targeting) by using the classical Pinch method.

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