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Multi-objective optimization of an ORC power plant using one-dimensional design of a radial-inflow turbine with backswept rotor blades

机译:用反转转子叶片的径向流入涡轮机的一维设计多目标优化兽人电厂

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摘要

Organic Rankine cycle (ORC) power plants are a promising technology for converting low and medium temperature energy sources into electricity. In order to fully exploit the potential of an ORC, the components of the system should be designed appropriately. One of the key elements of the ORC installation, substantially affecting the system efficiency, is a turboexpander. This study concerns a multi-objective optimization of an ORC coupled with a one-dimensional radial-inflow turbine (RIT) model. Particular attention is given to determination of optimal parameters which have an impact on the turbine geometry of the nozzle and the rotor. The nozzle pitch to chord ratio and the blade angle at the rotor inlet are investigated as one of the decision variables. The first parameter is rarely discussed in most studies and it is either a fixed value or its optimum is determined using correlations developed for axial-flow turbines. Applying the blade angle as a variable is associated with the use of backswept rotor blades, which is achievable in the ORC and results in higher turbine efficiency. By means of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the optimal design point has been determined. It was found that by applying the blade angle at the rotor inlet as the decision variable, the optimal blade sweep design featuring a 0.00% incidence enthalpy loss can be obtained. Based on the parametric analysis, it was reported that by making wrong design choices with respect to the RIT decision variables, the turbine efficiency may be decreased by almost 8.00%, leading to a decrease in the net power output by more than 8.00% and an increase in the electricity production cost of more than 7.00%. (c) 2021 Elsevier Ltd. All rights reserved.
机译:有机朗肯循环(ORC)发电厂是一种希望将低温和中温能源转换为电力的有希望的技术。为了充分利用ORC的电位,应适当地设计系统的组件。 ORC安装的一个关键元件之一,基本上影响系统效率,是一个涡轮增压器。该研究涉及与一维径向流入涡轮机(RIT)模型耦合的ORC的多目标优化。特别注意确定对喷嘴和转子的涡轮机几何形状产生影响的最佳参数。作为决策变量之一,研究了将喷嘴间距与转子入口处的叶片角度和叶片角度进行研究。在大多数研究中很少讨论第一参数,并且它是使用用于轴流涡轮机开发的相关的固定值或其最佳值。作为变量将叶片角度施加与使用后杆转子叶片相关联,这在逆转录中可实现并导致更高的涡轮机效率。通过非主导的分类遗传算法-II(NSGA-II)和通过相似性与理想解决方案(TOPSIS)的顺序优先技术,已经确定了最佳设计点。发现,通过将叶片角施加到转子入口作为决策变量,可以获得具有0.00%入射焓损耗的最佳刀片扫描设计。基于参数分析,据报道,通过对RIT判定变量进行错误的设计选择,涡轮效率可能降低近8.00%,导致净功率输出减少超过8.00%和一个增加电力生产成本超过7.00%。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Energy》 |2021年第1期|121506.1-121506.24|共24页
  • 作者单位

    West Pomeranian Univ Technol Szczecin Fac Mech Engn & Mechatron Al Piastow 17 PL-70310 Szczecin Poland|AGH Univ Sci & Technol Fac Energy & Fuels Dept Sustainable Energy Dev Al Mickiewicza 30 PL-30059 Krakow Poland;

    Polish Acad Sci Inst Fluid Flow Machinery Ul Fiszera 14 PL-80231 Gdansk Poland;

    West Pomeranian Univ Technol Szczecin Fac Mech Engn & Mechatron Al Piastow 17 PL-70310 Szczecin Poland;

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

    Radial-inflow; Turbine; Geothermal; ORC; Multi-objective optimization;

    机译:径向流入;涡轮机;地热;兽人;多目标优化;

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