Analysis of Optimal Application for Exhaust Gas in Thermal Oxidizers with Case Studies

Naser Hamedi
Linköping University, Linköping, Sweden

Arzhang Abadi
Urmia University, Urmia, Iran

Ramin Imani Jajarmi
Linköping University, Linköping, Sweden

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110571574

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:13, s. 1574-1581

Visa mer +

Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


There is potential for optimizing thermal oxidizer plants to increase industrial energy efficiency results in environmental and economic dimension of sustainability. In the present work; genetic algorithm is implemented for three thermal oxidizer cases in three different petrochemical plants to optimize the fuel cost for the three Heat Recovery Steam Generators (HRSG’s) which are going to be used for the recovery of the heat from the outlet of the thermal oxidizer units. Generally; thermal oxidizers are used in petrochemical plants to burn waste gases in the plant to reduce the environmental impact of the off-gases of plant and normally the waste heat are released to the atmosphere via a stack. The optimization results have been compared for three cases. Five decision variables have been selected and the objective function was optimized. By increasing the fuel price; the values of thermo-economical decision variables tend to those thermodynamically optimal designs.


Heat Recovery Steam Generator (HRSG); thermo-economics; Optimization; Thermal Oxidizer; Genetic Algorithm; Low Density Polyethylene (LDPE) Plant


[1] Valero; A.; Lozano; Miguel A.; Serra; L.; Tsatsaronis; G.; Pisa; J.; Frangopoulos; C.; and Von Spakovsky; M. R.; 1994; “CGAM Problem: Definition and Conventional Solutions;” Energy-The International Journal; 19; pp. 279-286. doi: 10.1016/0360-5442(94)90112-0.

[2] Bejan; A.; Tsatsaronis; G.; Moran; M.; 1996; Thermal design & optimization; John Wiley & Sons Inc.

[3] Ghaffarizadeh; A.; 2006; Investigation on Evolutionary Algorithms Emphasizing Mass Extinction; B.Sc thesis; Shiraz University of Technology; Shiraz; Iran.

[4] Frangopouls; C. A.; 1994; “Application of the Thermoeconmic Functional Approach to the CGAM problem;” Energy-The International Journal; 19; pp. 323-342. doi: 10.1016/0360-5442(94)90114-7.

[5] Tsatsaronis; G.; and Pisa; J.; 1994; “Exergoeconomic Evaluation and Optimization of Energy Systems- Application to the CGAM Problem; Energy-The International Journal; 19; pp. 287-321.

[6] Valero; A.; Lozano; M.A.; Serra; L.; Torres; C.; 1994; “Application of the Exergetic Cost Theory to the CGAM problem; Energy -The International Journal; 19; pp. 365-381.

[7] Spakovsky; M.R.; 1994; “Application of Engineering Functional Approach to The Analysis and Optimization of the CGAM problem;” Energy- The International Journal; 19; 343-364.

[8] Moran; M.J.; 1989; Availability Analysis: A Guide to Efficient Energy Use; ASME Press; New York.

[9] Horlock; J.H.; 1987; Cogeneration-Combined Heat and Power (CHP); Thermodynamics and Economics; pergamon press.

[10] Kotas; T.J.; 1995; The exergy method of thermal plant analysis; Krieger Pub. Co.; Florida.

[11] Szargut; J.; Morris; D.R.; Steward; F.R.; 1988; Exergy analysis of thermal; chemical; and metallurgical processes; Hemisphere Pub. Co.; New York.

Citeringar i Crossref