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

机译：第四代核技术发电的多目标遗传算法策略

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摘要

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.
机译：发展电/氢热电联产系统的技术经济优化策略，在于找到发电循环和热传输系统的最佳效率，最大程度地提高能源产量并最小化生产成本。本文的第一部分与多目标优化库（MULTIGEN）的开发有关，以解决热电联产引起的所有类型的问题。在通过文献综述确定最有效的方法之后，对MULTIGEN库进行了描述，并列出了创新点。基于帕累托前沿停滞的新停止准则可能会导致计算时间显着减少，尤其是在仅涉及整数变量的问题中。最后一部分提供了两个实际示例。前者致力于在火用循环和超高温反应堆（VHTR）的发电周期中，对火用破坏和工厂总成本进行双重标准优化。第二个示例在于设计发电涡轮机的热交换器。优化了三个标准：交换表面，火用的破坏和交换模块的数量。

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