首页> 外文学位 >Modeling and optimization of a concentrated solar supercritical CO2 power plant.
【24h】

Modeling and optimization of a concentrated solar supercritical CO2 power plant.

机译:集中式太阳能超临界CO2电厂的建模和优化。

获取原文
获取原文并翻译 | 示例

摘要

Renewable energy sources are fundamental alternatives to supply the rising energy demand in the world and to reduce or replace fossil fuel technologies. In order to make renewable-based technologies suitable for commercial and industrial applications, two main challenges need to be solved: the design and manufacture of highly efficient devices and reliable systems to operate under intermittent energy supply conditions. In particular, power generation technologies based on solar energy are one of the most promising alternatives to supply the world energy demand and reduce the dependence on fossil fuel technologies. In this dissertation, the dynamic behavior of a Concentrated Solar Power (CSP) supercritical CO2 cycle is studied under different seasonal conditions. The system analyzed is composed of a central receiver, hot and cold thermal energy storage units, a heat exchanger, a recuperator, and multi-stage compression-expansion subsystems with intercoolers and reheaters between compressors and turbines respectively. The effects of operating and design parameters on the system performance are analyzed. Some of these parameters are the mass flow rate, intermediate pressures, number of compression-expansion stages, heat exchangers' effectiveness, multi-tank thermal energy storage, overall heat transfer coefficient between the solar receiver and the environment and the effective area of the recuperator. Energy and exergy models for each component of the system are developed to optimize operating parameters in order to lead to maximum efficiency. From the exergy analysis, the components with high contribution to exergy destruction were identified. These components, which represent an important potential of improvement, are the recuperator, the hot thermal energy storage tank and the solar receiver. Two complementary alternatives to improve the efficiency of concentrated solar thermal systems are proposed in this dissertation: the optimization of the system's operating parameters and optimization of less efficient components. The parametric optimization is developed for a 1MW reference CSP system with CO2 as the working fluid. The component optimization, focused on the less efficient components, comprises some design modifications to the traditional component configuration for the recuperator, the hot thermal energy storage tank and the solar receiver. The proposed optimization alternatives include the heat exchanger's effectiveness enhancement by optimizing fins shapes, multi-tank thermal energy storage configurations for the hot thermal energy storage tank and the incorporation of a transparent insulation material into the solar receiver. Some of the optimizations are conducted in a generalized way, using dimensionless models to be applicable no only to the CSP but also to other thermal systems. This project is therefore an effort to improve the efficiency of power generation systems based on solar energy in order to make them competitive with conventional fossil fuel power generation devices. The results show that the parametric optimization leads the system to an efficiency of about 21% and a maximum power output close to 1.5 MW. The process efficiencies obtained in this work, of more than 21%, are relatively good for a solar-thermal conversion system and are also comparable with efficiencies of conversion of high performance PV panels. The thermal energy storage allows the system to operate for several hours after sunset. This operating time is approximately increased from 220 to 480 minutes after optimization. The hot and cold thermal energy storage also lessens the temperature fluctuations by providing smooth changes of temperatures at the turbines' and compressors' inlets. Additional improvements in the overall system efficiency are possible by optimizing the less efficient components. In particular, the fin's effectiveness can be improved in more than 5% after its shape is optimized, increments in the efficiency of the thermal energy storage of about 5.7% are possible when the mass is divided into four tanks, and solar receiver efficiencies up to 70% can be maintained for high operating temperatures (~ 1200°C) when a transparent insulation material is incorporated to the receiver. The results obtained in this dissertation indicate that concentrated solar systems using supercritical CO2 could be a viable alternative to satisfying energy needs in desert areas with scarce water and fossil fuel resources.
机译:可再生能源是满足世界上不断增长的能源需求以及减少或替代化石燃料技术的基本替代品。为了使基于可再生能源的技术适用于商业和工业应用,需要解决两个主要挑战:设计和制造高效设备以及在间歇性能源供应条件下运行的可靠系统。特别是,基于太阳能的发电技术是满足世界能源需求并减少对化石燃料技术的依赖的最有前途的替代方法之一。本文研究了不同季节条件下聚光太阳能超临界CO2循环的动态行为。所分析的系统由中央接收器,冷热能量存储单元,热交换器,同流换热器和多级压缩-膨胀子系统组成,分别在压缩机和涡轮之间具有中间冷却器和再热器。分析了操作和设计参数对系统性能的影响。其中一些参数是质量流量,中间压力,压缩-膨胀级数,热交换器的效率,多容器热能存储,太阳能接收器与环境之间的总传热系数以及换热器的有效面积。为系统的每个组件开发能量和火用模型,以优化操作参数,以实现最大效率。从火用分析中,鉴定出对火用破坏具有高贡献的成分。代表重要改进潜力的这些组件是同流换热器,热储能罐和太阳能接收器。本文提出了两种提高聚光太阳能热系统效率的互补方案:系统运行参数的优化和效率较低的组件的优化。参数优化是针对以CO2为工作流体的1MW参考CSP系统开发的。组件优化主要针对效率较低的组件,包括对换热器,热储热罐和太阳能接收器的传统组件配置的一些设计修改。拟议的优化替代方案包括通过优化翅片形状来提高热交换器的效率,为热热能储罐提供多储罐热能存储配置以及将透明绝缘材料并入太阳能接收器中。使用无量纲模型以通用方式进行某些优化,不仅适用于CSP,而且适用于其他热系统。因此,该项目致力于提高基于太阳能的发电系统的效率,以使其与传统的化石燃料发电设备竞争。结果表明,参数优化使系统达到约21%的效率,最大功率输出接近1.5 MW。在这项工作中获得的工艺效率超过21%,对于太阳能转换系统来说是相对不错的,并且还可以与高性能PV面板的转换效率相媲美。热能存储使系统在日落后可以运行几个小时。优化后,此操作时间大约从220分钟增加到480分钟。通过在涡轮机和压缩机入口处提供平稳的温度变化,冷热热能存储还可以减少温度波动。通过优化效率较低的组件,可以进一步提高整体系统效率。特别是,鳍片的形状经过优化后,鳍片的效率可以提高5%以上;当将质量分成四个水箱时,热能存储的效率可提高约5.7%,太阳能接收器的效率可达到当将透明绝缘材料结合到接收器中时,可以在较高的工作温度(约1200°C)下保持70%的温度。论文的结果表明,采用超临界CO2的聚光太阳能系统可以满足水资源和化石燃料资源匮乏的沙漠地区的能源需求。

著录项

  • 作者

    Osorio, Julian D.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Mechanical engineering.;Energy.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 170 p.
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号