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Emissions’ reduction of a coal-fired power plant via reduction of consumption through simulation and optimization of its mathematical model

机译:通过模拟和优化数学模型来减少能耗,从而减少燃煤电厂的排放

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摘要

One of the main sources of carbon dioxide emissions is the electrical power production by fossil fuels (coal). 84% of the electrical power generated in Greece (source:Regulatory Authority for Energy) comes from lignite combustion and therefore optimized operation of the conversion system will result in higher efficiencies of the combustion and the water/steam circle. Thus, more electrical power can be generated with less fuel and less emissions. That forms our motivation for the modeling, simulation and optimization of a lignite fired power plant. An electrical power production unit, with 300MW maximum output, has been chosen to model (similar to Greece KARDIA IV unit). For this purpose two software programs, using iterative method solvers, have been used. One is the open source code D.N.A. (Dynamic Network Analysis) and the other is gPROMS by the Process System Enterprise. The advantage of the former is that it consists of a library with the models of the components of a power plant and the steam/water properties but it does not include an optimizer, while in the latter, the user has to code the component models and the steam/water properties but it includes a non-linear optimizer, which is necessary due to the non-linearity of the problem. Simulation of the steady state operation of the power plant was successful and the optimization software showed an increase of ~1.42% in the efficiency of the water/steam cycle by regulating the steam mass flow rates at the extractions from the different stages of the turbines. Simulation of the boiler of the unit had also been performed with satisfactory results, in comparison with the measurements done in the control room of the unit.
机译:二氧化碳排放的主要来源之一是化石燃料(煤)发电。希腊产生的电力中有84%(来源:能源监管局)来自褐煤燃烧,因此,转换系统的优化运行将带来更高的燃烧效率和水/蒸汽循环效率。因此,可以用更少的燃料和更少的排放来产生更多的电力。这构成了我们对褐煤发电厂进行建模,仿真和优化的动力。选择了最大输出功率为300MW的电力生产单元作为模型(类似于希腊KARDIA IV单元)。为此,使用了两个使用迭代方法求解器的软件程序。一种是开源代码D.N.A. (动态网络分析),另一个是Process System Enterprise的gPROMS。前者的优点是它由一个包含发电厂组件模型和蒸汽/水特性模型的库组成,但是它不包含优化器,而后者则需要用户对组件模型和蒸汽/水特性,但它包含一个非线性优化器,由于问题的非线性性,这是必需的。成功地模拟了电厂的稳态运行,并且优化软件显示,通过调节来自涡轮不同级的抽气口处的蒸汽质量流量,水/蒸汽循环效率提高了约1.42%。与在机组控制室中进行的测量相比,机组锅炉的仿真也取得了令人满意的结果。

著录项

  • 来源
    《Operational Research》 |2010年第1期|71-89|共19页
  • 作者单位

    1.Department of Engineering and Management of Energy Resources University of Western Macedonia Kozani Greece;

    1.Department of Engineering and Management of Energy Resources University of Western Macedonia Kozani Greece;

    1.Department of Engineering and Management of Energy Resources University of Western Macedonia Kozani Greece;

    2.Department of Applied Informatics University of Macedonia 156 Egnatia Str. 54006 Thessaloniki Greece;

    1.Department of Engineering and Management of Energy Resources University of Western Macedonia Kozani Greece;

    1.Department of Engineering and Management of Energy Resources University of Western Macedonia Kozani Greece;

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

    D.N.A.; gPROMS; Power plants; Optimization; Efficiency;

    机译:脱氧核糖核酸。;gPROMS;发电厂;优化;效率;

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