000 02559nam a2200265 a 4500
001 vtls000067404
003 KUKTEM
005 20251114204523.0
008 121205t2012 my a f m 000 0 eng d
020 _aTHE0003770(Local)
039 9 _a201905131502
_bshah
_y201212051215
_zFida
040 _aUMP
090 _aTP155.7 .H39 2012 rs Bc.
100 0 _aHazlinda Sapee
245 1 0 _aOptimal design of inter-plant water network with centralized regeneration system /
_cHazlinda Sapee
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axiv, 64 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 39-40
520 3 _aWater is a basic raw material in an industry. Without it, the production cannot run or will be hindered. But, nowadays we are lacking reliable sources of water. In the future, two thirds of the world population will face water crisis or stress by the year 2025. In 2025, industrial growth will rapidly speed up, hence the sources of water will be limited. The negative effect of lack of sources of water make the cost of the water will be increasing. Hence, a new model has been developing based on water network superstructure to simultaneously generate the maximum water recovery targets and design minimum water network. Nowadays, water system integration becomes the research focus, because the technology is effective for saving fresh water and reducing wastewater generation. The purpose of this study is to develop a systematic technique for designing the minimum water network for inter-plant with centralized regeneration system. This problem is formulated as mixed integer nonlinear programming (MINLP) based on water network superstructure and is implemented in Generalized Algebraic Modeling System (GAMS) in order to obtain simultaneous minimum water targets and design of water networks. The effectiveness of the proposed model is illustrated by using an industrial case study. A significant reduction of fresh water consumption and waste water generation has been achieved, illustrating the effectiveness of the proposed approach. The result show the potential maximum freshwater and wastewater reduction are 53.63% and 61.65% respectively.
650 0 _aSustainable engineering
650 0 _aChemical processes
650 0 _aChemical industry
_xEnergy conservation
999 _aVIRTUA40
_c3459
_d3465
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992