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A MultiObjective Genetic Algorithm Framework for electricity / hydrogen co-production from generation IV nuclear energy systems

机译:第四代核能系统电/氢联产的多目标遗传算法框架

摘要

One of the great motivations of studying and developing Generation IV (Gen IV) reactors of VHTR (Very High Temperature Reactor) design is their capacity to efficiently produce both electricity and H2 (hydrogen). This study aims at developing an optimization methodology for cogeneration systems of hydrogen and electricity, with respect to energy constraints, economics and conjuncture in terms of demand. It lies within the scope of a collaboration between the Laboratoire de Génie Chimique (LGC Toulouse, France) and the French Atomic Energy Commission (CEA, Cadarache, France) in order to compare various cogeneration systems from both energy and economics viewpoints.This paper describes the different steps of the technico-economic methodology for H2 and electricity cogeneration systems.udKeywords: Hydrogen, Electricity, cogeneration, Gen IV nuclear systems, multiobjective optimization
机译:研究和开发VHTR(超高温反应堆)设计的IV(第四代)反应堆的主要动机之一是其有效生产电能和H2(氢)的能力。这项研究的目的是针对能源约束,经济和需求方面的需求,开发一种氢和电热电联产系统的优化方法。它位于法国图卢兹LGC实验室和法国原子能委员会(法国卡达拉奇市CEA)合作的范围之内,目的是从能源和经济学角度比较各种热电联产系统。氢气和电力热电联产系统技术经济方法的不同步骤。 ud关键字:氢,电,热电联产,第四代核系统,多目标优化

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