Abstract

The key feature of Adiabatic Compressed Air Energy Storage (A-CAES) is the reuse of the heat generated from the air compression process at the stage of air expansion. This increases the complexity of the whole system since the heat exchange and thermal storage units must have the capacities and performance to match the air compression/expansion units. Thus it raises a strong demand in the whole system modelling and simulation tool for A-CAES system optimisation. The paper presents a new whole system mathematical model for A-CAES with simulation implementation and the model is developed with consideration of lowing capital cost of the system. The paper then focuses on the study of system efficiency improvement strategies via parametric analysis and system structure optimisation. The paper investigates how the system efficiency is affected by the system component performance and parameters. From the study, the key parameters are identified, which give dominant influences in improving the system efficiency. The study is extended onto optimal system configuration and the recommendations are made for achieving higher efficiency, which provides a useful guidance for A-CAES system design.

Highlights

  • Power network reliability is facing a great challenge in coping with the rapid increase of intermittent renewable energy integration

  • This paper examines the potential of system efficiency improvement for adopting low temperature Thermal Energy Storage (TES) in A-Compressed Air Energy Storage (CAES)

  • The paper presents the mathematical models of an Adiabatic CAES (A-CAES) system components and developed a new whole system model of A-CAES with low temperature thermal storage

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Summary

Introduction

Power network reliability is facing a great challenge in coping with the rapid increase of intermittent renewable energy integration. The main contributions of the paper are: (1) it presents a set of mathematical models of the system components and develops a whole system model of A-CAES with low temperature TES integration; (2) with the study of the Huntorf CAES plant, the range of a set of system parameters are identified to give the initial condition parameters in A-CAES system simulation study, which provides a useful guideline for other researchers in selecting initial condition parameters; (3) with the simulation study using the whole system model, the optimal strategies for system efficiency improvements are investigated via a parametric study with sensitivity analysis of component parameters/performance indexes; and (4) following the achievements from the above study, the various system configurations aiming for system efficiency improvement are designed and discussed, and the recommendations are made

Governing equations of modelling of A-CAES systems
Modelling of compressors
Modelling of compressed air storage reservoirs
Modelling of turbines
Modelling of thermal energy storage process
Optimisation study and efficiency analysis of an A-CAES system
Study of Huntorf CAES plant
Study of different A-CAES system configurations
Findings
Concluding remark
Full Text
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