A structural-based model for water network synthesis

Abstract This paper presents a novel systematic decomposition method for the synthesis of water network. The main objective of this approach is to reduce the complexity of the water network by dividing the system into several clusters with optimisation constraints. These constraints include lengths of pipeline, total pipe lengths of the clusters, etc. The method was applied to both direct reuse/recycle and water regeneration networks. A literature example is used to demonstrate the novel approach. The generated network alternatives were compared for their minimum fresh water and wastewater flowrates, piping costs, as well as the number of pipelines. It is observed that the number of pipelines and the piping costs decrease when the system is divided into more clusters (i.e. simpler network). The results also show that when the complexity of the network decreases, higher fresh water is observed for the direct reuse/recycle case, and higher regenerated flowrate for the case of water regeneration network. Both cases lead to higher operating and total annualised cost of the water networks. Hence, there is a trade-off between network complexity and water flowrates. It is up to the plant engineers or designers to decide the level of complexity and water saving that they can accept.

[1]  Chee Yan Wong,et al.  Design and Optimisation of Water Recovery System for a Polylactide Production Process , 2020, Process Integration and Optimization for Sustainability.

[2]  Y. P. Wang,et al.  Wastewater minimization with flowrate constraints , 1995 .

[3]  Dominic C.Y. Foo,et al.  Process Integration for Resource Conservation , 2012 .

[4]  Ravi Prakash,et al.  Targeting and design of water networks for fixed flowrate and fixed contaminant load operations , 2005 .

[5]  John R. Flower,et al.  Synthesis of heat exchanger networks: I. Systematic generation of energy optimal networks , 1978 .

[6]  Mahmoud M. El-Halwagi,et al.  Synthesis of mass exchange networks , 1989 .

[7]  Mahmoud M. El-Halwagi,et al.  RIGOROUS GRAPHICAL TARGETING FOR RESOURCE CONSERVATION VIA MATERIAL RECYCLE/REUSE NETWORKS , 2003 .

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

[9]  Jui-Yuan Lee,et al.  Single and multi-objective optimisation for the retrofit of process water networks , 2020 .

[10]  Zdravko Kravanja,et al.  Simultaneous synthesis of process water and heat exchanger networks , 2013 .

[11]  Jiří Jaromír Klemeš,et al.  Model-size reduction techniques for large-scale biomass production and supply networks , 2011 .

[12]  Ignacio E. Grossmann,et al.  Global superstructure optimization for the design of integrated process water networks , 2011 .

[13]  Santanu Bandyopadhyay,et al.  Optimal Synthesis of Heat-Integrated Water Regeneration Network , 2019, Industrial & Engineering Chemistry Research.

[14]  Chuei-Tin Chang,et al.  A Mathematical Programming Model for Water Usage and Treatment Network Design , 1999 .

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

[16]  G. Polley,et al.  Dealing with Plant Geography and Piping Constraints in Water Network Design , 1996 .

[17]  Yongrong Yang,et al.  Process Heat Exchanger Network Integration and Decomposition via Clustering Approach , 2012 .

[18]  Bodo Linnhoff,et al.  A User guide on process integration for the efficient use of energy , 1994 .

[19]  Grzegorz Poplewski,et al.  An extended corner point method for the synthesis of flexible water network , 2020 .

[20]  Ignacio E. Grossmann,et al.  Simultaneous synthesis of heat exchanger networks with operability considerations: Flexibility and controllability , 2013, Comput. Chem. Eng..

[21]  Antonis C. Kokossis,et al.  A multi-contaminant transhipment model for mass exchange networks and wastewater minimisation problems , 1999 .

[22]  Robin Smith,et al.  Chemical Process: Design and Integration , 2005 .

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

[24]  Mahmoud M. El-Halwagi,et al.  Process Synthesis and Integration , 2014 .

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

[26]  Miguel J. Bagajewicz,et al.  On the necessary conditions of optimality of water utilization systems in process plants with multiple contaminants , 2003 .

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

[28]  Grzegorz Poplewski,et al.  A new methodology for the synthesis of an optimum flexible water networks , 2015 .

[29]  Majid Amidpour,et al.  Application of Problem Decomposition in Process Integration , 1997 .