02018nam a2200241 a 4500 vtls000075728 KUKTEM 20251114204539.0 131025t2013 my da f abm 000 0 eng d THE0003558(Local) 201905152110 zulaiha 201310251054 nabilah UMP TJ260 .A97 2013 rs Bc. Azri Marmoh Optimal design of heat recovery system / Azri Marmoh Kuantan, Pahang : UMP, 2013 xv, 72 p. : ill. ; 30 cm. + 1 CD-ROM 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. Heat recovery 0 0 0 1 10000 10000 2019-09-04 0 TJ260 .A97 2013 rs Bc. 0000074577 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 6988 | TJ260 .A97 2013 rs Bc. 0000074578 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3904 3910 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992