An automated composite table algorithm considering zero liquid discharge possibility in water regeneration–recycle network

In this study, a novel Automated Composite Table Algorithm (ACTA) is developed for targeting the water regeneration–recycle network of single contaminant problem. The ACTA is based on Pinch Analysis, but is automated by taking into consideration the possibility of zero liquid discharge (ZLD) for the water network. In the existing literature, the targeting procedure for ZLD network is based on the graphical tool of Limiting Composite Curve (LCC). However, identification of key parameters (i.e. freshwater, wastewater, regenerated water flowrates, along with pre-regeneration concentrations) is very tedious for highly integrated water network system. The magnification around the turning point of LCC is required to identify the correct pinch points and targeting procedure is done iteratively until the reliable network targets can be determined. These limitations are now overcome by the ACTA, which is an improved version of Composite Table Algorithm that is capable of identifying key parameters algebraically for a given post-regeneration concentration. The newly developed ACTA is capable of handling a wide range of problems including ZLD and non-ZLD network, for both fixed load and fixed flowrate problems.

[1]  S. Aly,et al.  A new systematic approach for water network design , 2005 .

[2]  Marian Trafczynski,et al.  Handbook of Process Integration (PI). Minimisation of Energy and Water Use, Waste and Emissions , 2015 .

[3]  Yin Ling Tan,et al.  Targeting the minimum water flow rate using water cascade analysis technique , 2004 .

[4]  C. Deng,et al.  Targeting for Conventional and Property-Based Water Network with Multiple Resources , 2011 .

[5]  Dominic Chwan Yee Foo,et al.  Flowrate targeting for threshold problems and plant-wide integration for water network synthesis. , 2008, Journal of environmental management.

[6]  Mahmoud M. El-Halwagi,et al.  Correct identification of limiting water data for water network synthesis , 2006 .

[7]  Jiří J. Klemeš,et al.  Handbook of Process Integration (PI) , 2013 .

[8]  Moses O. Tadé,et al.  Composite Table Algorithm - A Powerful Hybrid Pinch Targeting Method for Various Problems in Water Integration , 2013 .

[9]  Xiao Feng,et al.  On the use of graphical method to determine the targets of single-contaminant regeneration recycling water systems , 2007 .

[10]  Xiao Feng,et al.  Flow Rate Targeting for Concentration- and Property-Based Total Water Network with Multiple Partitioning Interception Units , 2016 .

[11]  D. Foo State-of-the-Art Review of Pinch Analysis Techniques for Water Network Synthesis , 2009 .

[12]  Xiao Feng,et al.  Optimization of water network integrated with process models , 2012, Clean Technologies and Environmental Policy.

[13]  H. Pillai,et al.  Process water management , 2006 .

[14]  U. V. Shenoy,et al.  Enhanced nearest neighbors algorithm for design of water networks , 2012 .

[15]  Moses O. Tadé,et al.  Targeting water utilities for the threshold problem without waste discharge , 2013 .

[16]  C. Deng,et al.  Graphically based analysis of water system with zero liquid discharge , 2008 .

[17]  Sharifah Rafidah Wan Alwi,et al.  Process Integration and Intensification: Saving Energy, Water and Resources , 2014 .

[18]  G. T. Polley,et al.  Design Better Water Networks , 2000 .

[19]  Nick Hallale,et al.  A NEW GRAPHICAL TARGETING METHOD FOR WATER MINIMISATION , 2002 .

[20]  M. Tadé,et al.  Use of pinch concept to optimize the total water regeneration network , 2014 .

[21]  Denny K. S. Ng,et al.  Ultimate Flowrate Targeting with Regeneration Placement , 2007 .

[22]  U. V. Shenoy,et al.  Unified conceptual approach to targeting and design of water and hydrogen networks , 2006 .

[23]  S. Carpenter,et al.  Planetary boundaries: Guiding human development on a changing planet , 2015, Science.

[24]  Robin Smith,et al.  Design of Water-Using Systems Involving Regeneration , 1998 .

[25]  T. Umeda,et al.  Optimal water allocation in a petroleum refinery , 1980 .

[26]  Raymond R. Tan,et al.  An extended graphical targeting technique for direct reuse/recycle in concentration and property-based resource conservation networks , 2011 .