A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network
This work presents the development of a new systematic technique to target fresh water consumption and wastewater generation for systems involving multiple contaminants when all options of water minimization including source elimination, reduction, reuse/recycle, outsourcing and regeneration are con...
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Online Access: | http://umpir.ump.edu.my/id/eprint/1698/ http://umpir.ump.edu.my/id/eprint/1698/1/ICMSAO%2711-zbh.pdf |
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ump-16982018-05-15T08:19:38Z http://umpir.ump.edu.my/id/eprint/1698/ A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network Zainatul Bahiyah , Handani TP Chemical technology This work presents the development of a new systematic technique to target fresh water consumption and wastewater generation for systems involving multiple contaminants when all options of water minimization including source elimination, reduction, reuse/recycle, outsourcing and regeneration are considered simultaneously. This problem is formulated as mixed integer linear programming (MILP) and implemented in Generalized Algebraic Modeling System (GAMS). The consideration of process changes will lead to optimal design of minimum water utilization network. The MILP model proposed in this work can be used to simultaneously generate the minimum water targets and design the minimum water network for global water-using operations for buildings and industry. The approach is illustrated by using an industrial involving a chlor-alkali plant. Significant water savings for the industrial case study is achieved, illustrating the effectiveness of the proposed approach. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1698/1/ICMSAO%2711-zbh.pdf Zainatul Bahiyah , Handani (2011) A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network. In: 4th International Conference on Modelling, Simulation and Applied Optimization, 19-21 April 2011 , Impiana KLCC Hotel & Spa Kuala Lumpur.. pp. 1-6.. |
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Universiti Malaysia Pahang |
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Online Access |
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English |
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TP Chemical technology |
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TP Chemical technology Zainatul Bahiyah , Handani A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
description |
This work presents the development of a new systematic technique to target fresh water consumption and wastewater generation for systems involving multiple contaminants when all options of water minimization including source elimination, reduction, reuse/recycle, outsourcing and regeneration are considered simultaneously. This problem is formulated as mixed integer linear programming (MILP) and implemented in Generalized Algebraic Modeling System (GAMS). The consideration of process changes will lead to optimal design of minimum water utilization network. The MILP model proposed in this work can be used to simultaneously generate the minimum water targets and design the minimum water network for global water-using operations for buildings and industry. The approach is illustrated by using an industrial involving a chlor-alkali plant. Significant water savings for the industrial case study is achieved, illustrating the effectiveness of the proposed approach. |
format |
Conference or Workshop Item |
author |
Zainatul Bahiyah , Handani |
author_facet |
Zainatul Bahiyah , Handani |
author_sort |
Zainatul Bahiyah , Handani |
title |
A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
title_short |
A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
title_full |
A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
title_fullStr |
A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
title_full_unstemmed |
A Mixed Integer Linear Programming (MILP) Model for Optimal Design of Water Network |
title_sort |
mixed integer linear programming (milp) model for optimal design of water network |
publishDate |
2011 |
url |
http://umpir.ump.edu.my/id/eprint/1698/ http://umpir.ump.edu.my/id/eprint/1698/1/ICMSAO%2711-zbh.pdf |
first_indexed |
2023-09-18T21:54:52Z |
last_indexed |
2023-09-18T21:54:52Z |
_version_ |
1777414011727380480 |