首页> 外文期刊>Energy >Thermoeconomic optimization of a hybrid pressurized water reactor (PWR) power plant coupled to a multi effect distillation desalination system with thermo-vapor compressor (MED-TVC)
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Thermoeconomic optimization of a hybrid pressurized water reactor (PWR) power plant coupled to a multi effect distillation desalination system with thermo-vapor compressor (MED-TVC)

机译:混合压水堆(PWR)电厂的热经济优化,并与带有热蒸汽压缩机(MED-TVC)的多效蒸馏淡化系统耦合

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摘要

Thermoeconomic optimization of a typical 1000 MW Pressurized Water Reactor (PWR) nuclear power plant coupled to a Multi Effect Distillation (MED) desalination system with thermo-vapor compressor (TVC) is performed. A thermodynamic modeling based on the energy and exergy analysis is performed while economic modeling is developed based on the Total Revenue Requirement (TRR) method. The objective function based on the thermoeconomic analysis is obtained. The proposed cogeneration plant, for simultaneous production of power and fresh water, including sixteen decision variables is proposed for thermoeconomic optimization in which the goal is minimizing the cost of system product (including the cost of generated electricity and fresh water). The optimization process is performed using a stochastic/deterministic optimization approach namely as Genetic Algorithm. It is found that thermoeconomic optimization aims at reduction of sub-components total costs by reducing either the cost of inefficiency or the cost of owning the components, whichever is dominant. For some components such as evaporators, the improvement is obtained by reducing the owning cost of the sub-system at the cost of reduction of the thermodynamic efficiency. For components like as TVC + de-superheater, improvement is achieved by increasing the thermodynamic efficiency or decreasing the inefficiency cost.
机译:对典型的1000 MW压水堆(PWR)核电站与具有热蒸气压缩机(TVC)的多效蒸馏(MED)脱盐系统进行热经济优化。在基于总收入需求(TRR)方法开发经济模型的同时,执行了基于能量和火用分析的热力学模型。获得了基于热经济学分析的目标函数。拟议的热电联产电厂,用于同时生产电力和淡水,包括16个决策变量,用于热经济优化,其目标是使系统产品的成本(包括发电和淡水的成本)最小化。优化过程是使用随机/确定性优化方法(即遗传算法)执行的。已经发现,热经济优化旨在通过降低效率低下的成本或拥有部件的成本来降低子部件的总成本,无论哪个占主导地位。对于某些部件,例如蒸发器,通过降低子系统的拥有成本以降低热力学效率为代价获得了改进。对于像TVC +减温器这样的组件,可以通过提高热力学效率或降低无效成本来实现改进。

著录项

  • 来源
    《Energy》 |2010年第5期|p.1981-1996|共16页
  • 作者单位

    Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, P.O. Box: 19395-1999, No. 15-19, Pardis Str., Mollasadra Ave., Vanak Sq., Tehran 1999 143344, Iran;

    rnFaculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, P.O. Box: 19395-1999, No. 15-19, Pardis Str., Mollasadra Ave., Vanak Sq., Tehran 1999 143344, Iran;

    rnFaculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, P.O. Box: 19395-1999, No. 15-19, Pardis Str., Mollasadra Ave., Vanak Sq., Tehran 1999 143344, Iran;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    nuclear desalination; multi effect distillation desalination; PWR power plant; genetic algorithm; TRR method; thermoeconomic;

    机译:核淡化多效蒸馏脱盐压水堆电厂;遗传算法TRR法;热经济学;

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