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Design of optimal water allocation network in chlor-alkali plant / Izyan Ismail

By:

Izyan Ismail

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2012Description: xii, 65 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0003772(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2012 Abstract: Water is the most common raw material in the industries. Due to the increasing water scarcity in certain countries, many industries are exposed to the fresh water risk. In order to overcome this problem, optimal water allocation network is applied in many industrial plants. In this study, a new generic mixed integer non-linear programming (MINLP) involving multiple contaminants, pH, hardness and total dissolved solid (TDS) is present to maximize the fresh water saving in the plant. All options including source of elimination, source of reduction, reuse or recycle, outsourcing and regeneration are considered in water minimization network. Four major steps, limiting water data extraction, superstructure representative, developing mathematical formulation and applying GAMS software are followed in this work. Minimum water target is then design based on the steps used to achieve the maximum freshwater saving and wastewater generation. By the end of this study, the design of water network system give higher percentage reduction of the freshwater consumption and the waste water generation.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	TP155.7 .I99 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000068031
Final Year Report	UMPLIB GAMBANG	CD 6354 \| TP155.7 .I99 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000068032

Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2012

Bibliography : p. 42-43

Water is the most common raw material in the industries. Due to the increasing water scarcity in certain countries, many industries are exposed to the fresh water risk. In order to overcome this problem, optimal water allocation network is applied in many industrial plants. In this study, a new generic mixed integer non-linear programming (MINLP) involving multiple contaminants, pH, hardness and total dissolved solid (TDS) is present to maximize the fresh water saving in the plant. All options including source of elimination, source of reduction, reuse or recycle, outsourcing and regeneration are considered in water minimization network. Four major steps, limiting water data extraction, superstructure representative, developing mathematical formulation and applying GAMS software are followed in this work. Minimum water target is then design based on the steps used to achieve the maximum freshwater saving and wastewater generation. By the end of this study, the design of water network system give higher percentage reduction of the freshwater consumption and the waste water generation.