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Optimal design of heat recovery system / Azri Marmoh

By:

Azri Marmoh

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2013Description: xv, 72 p. : ill. ; 30 cm. + 1 CD-ROMISBN:

THE0003558(Local)

Subject(s):

Heat recovery

Dissertation note: Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013 Abstract: High energy usage has been a huge problem in all areas of the chemical industry. With the growing awareness of green engineering, energy usage needs to be reduced by some means. This study explains how energy usage is reduced through atechnique called process integration which is achieved through mathematical programming. Software called Generalized Algebraic Modeling System (GAMS) is used to do the mathematical programming. Although many methods can be used, this paper covers the usage of Linear Programming (LP) to reduce energy usage. An ethylbenzene plant in Korea was used as a case study (Yoon et al., 2007) to verify the model developed. Transportation model was used as the mathematical model to solve this problem. The procedures involved 3 steps, (1) data extraction from the process data, (2) superstructure representation, and (3) mathematical modeling. The simulation results produced by GAMS were analysed based on three important criteria to select the valid match ups between hot streams and cold streams. As a result, usage of cooling and heating utility was reduced by 79.3% and 28.2% respectively.

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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	TJ260 .A97 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000074577
Final Year Report	UMPLIB GAMBANG	CD 6988 \| TJ260 .A97 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000074578

Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013

Bibliography : p. 48-51

High energy usage has been a huge problem in all areas of the chemical industry. With the growing awareness of green engineering, energy usage needs to be reduced by some means. This study explains how energy usage is reduced through atechnique called process integration which is achieved through mathematical programming. Software called Generalized Algebraic Modeling System (GAMS) is used to do the mathematical programming. Although many methods can be used, this paper covers the usage of Linear Programming (LP) to reduce energy usage. An ethylbenzene plant in Korea was used as a case study (Yoon et al., 2007) to verify the model developed. Transportation model was used as the mathematical model to solve this problem. The procedures involved 3 steps, (1) data extraction from the process data, (2) superstructure representation, and (3) mathematical modeling. The simulation results produced by GAMS were analysed based on three important criteria to select the valid match ups between hot streams and cold streams. As a result, usage of cooling and heating utility was reduced by 79.3% and 28.2% respectively.