Evolutionary algorithm for multi-objective exergoeconomic optimization of biomass waste gasification combined heat and power system

B. Fakhimghanbarzadeh*, B. Farhanieh, H. Marzi, A. Javadzadegan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

This paper conducts research on Thermodynamic modeling of the Fluidized bed Gasification and Exergoeconomic evaluation to determine the total cost of a combined heat and power system with pressurized fluidized bed gasifier. The paper presents use of multi-objective evolutionary optimization for the system's total cost minimization and Exergetic efficiency maximization, and has been compared to conventional iterative optimization method. It shows that by evaluating with conventional iterative optimization, Exergetic efficiency of total system can reach to 56.09% while using multi-objective evolutionary optimization it is 53.32%. However the product cost achieved by evolutionary optimization is about 6.3% lessthan the value of iterative optimization.

Original languageEnglish
Title of host publication2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages361-366
Number of pages6
ISBN (Print)9781424437603
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009 - Cardiff, United Kingdom
Duration: 23 Jun 200926 Jun 2009

Other

Other2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009
CountryUnited Kingdom
CityCardiff
Period23/06/0926/06/09

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