Thermodynamic analysis and algorithm optimisation of a multi-stage compression adiabatic compressed air energy storage system

  • Jie Song
  • , Xiaodong Peng
  • , Xiangjun Fang
  • , Ying Han
  • , Zhanfeng Deng
  • , Guizhi Xu
  • , Lixiao Liang
  • , Jibiao Hou
  • , Hongwei Wu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, a novel multi-stage compression and heat recovery on an adiabatic compressed air energy storage (A-CAES) system is proposed. In the current work, an in-house code named CAESSC 1.0 is successfully developed which can be helpful to evaluate the performance of the proposed A-CAES system and other power generation systems. In order to obtain the optimum performance, thermodynamic analysis of a multi-stage compression A-CAES system is investigated in a systematic manner. The effect of several control parameters, such as gas storage methods, storage pressures, interstage heat transfer methods, and stage numbers of the compressor as well as the turbine on the overall performance of the system is discussed in detail. Results indicate that using constant pressure gas storage method could significantly improve both the energy storage efficiency and the energy storage density of the system. An optimised algorithm of the heat exchanger in CAES system is proposed to remarkably improve the simulation performance. The highest efficiency can exceed 70% when using compressed air with adiabatic method. Two different gas storage methods, i.e. constant volume and constant pressure, have been discussed. It indicates that the efficiency of the system under constant pressure storage is about 4% higher than that under constant volume storage.

Original languageEnglish
Article number100598
JournalThermal Science and Engineering Progress
Volume19
DOIs
StatePublished - 1 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Adiabatic compressed air energy storage
  • Energy efficiency
  • Heat recovery
  • Thermodynamic analysis

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