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water pinch tool

Project description

Water Pinch Analysis

Read the docs A powerful pure-Python interface for optimizing industrial water networks

Installation

WaterOptim runs under Python 3.6+. To install it with pip, run the following:

pip install WaterOptim

To upgrade it with pip, run the following:

pip install --upgrade WaterOptim

HeadingBasic Usage

WaterOptim proposes water networks with optimized water recovery schemes to preserve freshwater and minimize wastewater production. The tool supports water networks with one or more pollutants. The optimization strategy includes 3 steps:

  • Inventory
  • Minimization of Freshwater and Wastewater
  • Design of Water-network The inventory can be carried out on:
  • Water-using process
  • Sources
  • Sinks

Water-using process involves pollution transfer. The pollution comes from the product or the process. The inventory includes:

Parameters Description Unit
mc Mass flowrate of contaminant kg/h
cin_max Maximum inlet concentration ppm
cout_max Maximum outlet concentration ppm
Example of Water-using process inventory:
  posts = [
            {"name":"process 1","cin_max":0,"cout_max":100,"mc":2},
            {"name":"process 2","cin_max":50,"cout_max":100,"mc":5},
            {"name":"process 3","cin_max":50,"cout_max":800,"mc":30},
            {"name":"process 4","cin_max":400,"cout_max":800,"mc":4}
          ]         

Source water flow, available for the REUSE.

The inventory includes:

Parameter Description Unit
m Water flowrate m3/h
c Outlet concentration ppm

Example of Sources inventory:

  sources = [
              {'name':'Distillation bottoms','c':0,'m':.8*3600/1000},
              {'name':'Off-gas condensate','c':14,'m':5*3600/1000},
              {'name':'Aqueous layer','c':25,'m':5.9*3600/1000},
              {'name':'Ejector condensate','c':34,'m':1.4*3600/1000}]

Sink water requirement. The inventory includes:

Parameter Description Unit
m Water flowrate m3/h
cin_max Maximum inlet concentration ppm

Example of Sinks inventory:

  demands = [
              {'name':'BFW0','cin_max':0,'m':1.2*3600/1000},
              {'name':'BFW','cin_max':10,'m':5.8*3600/1000},
              {'name':'BFW1','cin_max':1,'m':19.8*3600/1000}]

HeadingBasic compilation

Import this module with the following command:

  import WaterOptim.wpinch as wp

Compilation of water-using processes

  r= wp.__pinch__(posts=posts,verbose=True,design=True)  

Using the cascade attribute you can access the optimization details:

   >> r.cascade
C ppm Purity Purity Difference NWSD CWSD PWF CPWF FFW
- - - - fw=90.00
0 1.000000 -20.00
0.000050 70.00 0.003500
50 0.999950 -140.00 0.00 70.00
0.000050 -70.00 -0.003500
{100} {0.999900} {} {120.00} {} {} {0.00} {0.00}
0.000300 50.00 0.015000
400 0.999600 -10.00 0.01 37.50
0.000400 40.00 0.016000
800 0.999200 50.00 0.03 38.75
0.999200 90.00 89.928000
1000000 0.000000 0.00 89.96 89.96
- - - - ww=90.00

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To display the water network:

   >> r.design.draw()

Dependencies

Acknowledgments

The authors wish to thank the French National Research Agency ANR for their funding, and the partners of the project MINIMEAU led by AgroParisTech (French higher education and public research institute), in collaboration with ProSim (Expert in process simulation) ACTALIA, CRITT, CTCPA, IFV, ITERG (Centers of expertise for the food industry), and INRAE ELSA (French institute for agriculture, food and environment).

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