...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Thermodynamic characteristics of a novel supercritical compressed air energy storage system
【24h】

Thermodynamic characteristics of a novel supercritical compressed air energy storage system

机译：新型超临界压缩空气储能系统的热力学特性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A novel supercritical compressed air energy storage (SC-CAES) system is proposed by our team to solve the problems of conventional CAES. The system eliminates the dependence on fossil fuel and large gas storage cavern, as well as possesses the advantages of high efficiency by employing the special properties of supercritical air, which is significant for the development of electrical energy storage. The thermodynamic model of the SC-CAES system is built, and the thermodynamic characters are revealed. Through the exergy analysis of the system, the processes of the larger exergy destruction include compression, expansion, cold storage/heat exchange and throttle. Furthermore, sensitivity analysis shows that there is an optimal energy releasing pressure to make the system achieve the highest efficiency when energy storage pressure is constant. The efficiency of SC-CAES is expected to reach about 67.41% when energy storage pressure and energy releasing pressure are 120 bar and 95.01 bar, respectively. At the same time, the energy density is 18 times larger than that of conventional CAES. Sensitivity analysis also shows the change laws of system efficiency varying with other basic system parameters. The study provides support for the design and engineering of SC-CAES. (C) 2016 Elsevier Ltd. All rights reserved.
机译：我们的团队提出了一种新颖的超临界压缩空气储能（SC-CAES）系统，以解决常规CAES的问题。该系统消除了对化石燃料和大型储气库的依赖，并通过利用超临界空气的特殊性能而具有高效率的优势，这对于电能存储的发展具有重要意义。建立了SC-CAES系统的热力学模型，揭示了其热力学特征。通过系统的火用分析，更大的火用破坏过程包括压缩，膨胀，冷库/热交换和节流。此外，灵敏度分析表明，当储能压力恒定时，存在最佳的能量释放压力，以使系统达到最高效率。当能量存储压力和能量释放压力分别为120 bar和95.01 bar时，SC-CAES的效率有望达到约67.41％。同时，能量密度是传统CAES的18倍。灵敏度分析还显示了系统效率随其他基本系统参数而变化的变化规律。该研究为SC-CAES的设计和工程提供了支持。 （C）2016 Elsevier Ltd.保留所有权利。

著录项

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