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

Fakhimghanbarzadeh, B ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/INDIN.2009.5195831
  3. Publisher: 2009
  4. Abstract:
  5. 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. © 2009 IEEE
  6. Keywords:
  7. Biomass wastes ; Combined heat and power system ; Evolutionary optimizations ; Exergetic efficiency ; Exergoeconomic optimization ; Fluidized bed gasification ; Fluidized bed gasifiers ; Iterative Optimization ; Multi objective ; Product cost ; Thermodynamic modeling ; Total costs ; Biomass ; Cost accounting ; Electric power transmission networks ; Energy conversion ; Evolutionary algorithms ; Fluid dynamics ; Fluidization ; Fluidized beds ; Gas generators ; Multiobjective optimization ; Gasification
  8. Source: 2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009, Cardiff, 23 June 2009 through 26 June 2009 ; 2009 , Pages 361-366 ; 19354576 (ISSN); 9781424437603 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/5195831