02856nam a2200277 a 4500001001400000003000700014005001700021008004100038020002200079039009100101040000800192090002700200100002100227245010000248260003400348300004400382502009200426504002800518520162400546650002202170650002702192952012102219952013102340999002502471999008202496vtls000075821KUKTEM20251114204549.0131101t2013    my da  f m    000 0 eng d  aTHE0003158(Local) 9a201905161256bzulc201311121653dnabilahc201311060911dnabilahy201311011447znabilah  aUMP  aTD434 .A96 2013 rs Bc.0 aMohd Azmeer Azmi10aOptimal design of inter-plant water network involving multiple contaminants /cMohd Azmeer Azmi  aKuantan, Pahang :bUMP,c2013  axv, 70 p. :bill. ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013  aBibliography : p. 54-573 aEvery industry requires water as a raw material to their process. Nowadays the source of freshwater are lack due to the increasing water scarcity in certain countries, many industries are exposed to the freshwater risk. For the future and onwards two third of the world population will face the water crisis or stress by year 2025. After 2025, the industrial rapidly growth up, hence the source water will be limited and indirectly the cost of water also increase. The main purpose of this study is to develop indirect inter-plant water network integration involving multiple contaminants. In order to achieved this objective, there are five major steps in this work which is limiting water data extraction, superstructure representative, developing mathematical formulation, applying the developed model in General Algebraic Modelling System (GAMS) software, and lastly minimum water target and design. This problem is formulated as linear programming (LP) and mixed integer non-linear programming (MINLP) based on water network superstructure and is implemented in (GAMS) in order to obtain simultaneous minimum water target and design of water networks. The effectiveness of the proposed model is illustrated by using an industrial case study. At the end of this study, significant reductions of freshwater consumption and waste water generation have been achieved, it show the effectiveness of the proposed approach and the illustrated water network design is presented. The results obtained give higher percentage reduction of the freshwater consumption and wastewater generation is 47.61% and 53.48% respectively. 0aWaterxManagement 0aWater treatment plants  00104071a10000b10000d2019-09-04l0oTD434 .A96 2013 rs Bc.p0000074809r2019-09-04 00:00:00t1w2019-09-04yPSM  00104071a10000b10000d2019-09-04l0oCD 7104 | TD434 .A96 2013 rs Bc.p0000074810r2019-09-04 00:00:00t1w2019-09-04yPSM  aVIRTUA40c4177d4183  aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992