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

Author

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

Author_Institution

Sch. of Mech. Eng., Sharif Univ. of Technol., Tehran, Iran

fYear

2009

fDate

23-26 June 2009

Firstpage

361

Lastpage

366

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% less than the value of iterative optimization.

Keywords

bioenergy conversion; coal gasification; cogeneration; costing; evolutionary computation; exergy; fluidised beds; biomass waste gasification; combined heat and power system; efficiency 53.32 percent; efficiency 56.09 percent; evolutionary algorithm; fluidized bed gasification; multiobjective exergoeconomic optimization; pressurized gasifier; product cost; thermodynamic modeling; total cost minimization; Biomass; Cogeneration; Cost function; Evolutionary computation; Fluidization; Optimization methods; Power system modeling; Power systems; Thermodynamics; Waste heat;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on

Conference_Location

Cardiff, Wales

ISSN

1935-4576

Print_ISBN

978-1-4244-3759-7

Electronic_ISBN

1935-4576

Type

conf

DOI

10.1109/INDIN.2009.5195831

Filename

5195831