• Title of article

    Multiobjective genetic algorithm strategies for electricity production from generation IV nuclear technology

  • Author/Authors

    Gomez، نويسنده , , Adrien and Pibouleau، نويسنده , , Luc and Azzaro-Pantel، نويسنده , , Catherine and Domenech، نويسنده , , Serge and Latgé، نويسنده , , Christian and Haubensack، نويسنده , , David، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    13
  • From page
    859
  • To page
    871
  • Abstract
    Development of a technico-economic optimization strategy of cogeneration systems of electricity/hydrogen, consists in finding an optimal efficiency of the generating cycle and heat delivery system, maximizing the energy production and minimizing the production costs. The first part of the paper is related to the development of a multiobjective optimization library (MULTIGEN) to tackle all types of problems arising from cogeneration. After a literature review for identifying the most efficient methods, the MULTIGEN library is described, and the innovative points are listed. A new stopping criterion, based on the stagnation of the Pareto front, may lead to significant decrease of computational times, particularly in the case of problems involving only integer variables. Two practical examples are presented in the last section. The former is devoted to a bicriteria optimization of both exergy destruction and total cost of the plant, for a generating cycle coupled with a Very High Temperature Reactor (VHTR). The second example consists in designing the heat exchanger of the generating turbomachine. Three criteria are optimized: the exchange surface, the exergy destruction and the number of exchange modules.
  • Keywords
    Multiobjective Optimization , Cogeneration electricity/hydrogen , Exergy , nuclear technology , genetic algorithm
  • Journal title
    Energy Conversion and Management
  • Serial Year
    2010
  • Journal title
    Energy Conversion and Management
  • Record number

    2335073