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Initial Results of Adiabatic Compressed Air Energy Storage (CAES) Dynamic Process Model

Tomi Thomasson
VTT Technical Research Centre of Finland Ltd., Finland

Matti Tähtinen
VTT Technical Research Centre of Finland Ltd., Finland

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17142878

Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:129, s. 878-884

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Publicerad: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The amount of wind and solar generation has seen exponential growth during the recent decades, and the trend is to continue with an increased pace. Due to the intermittency of the resources, a threat is posed on grid stability and a need created for regulation. One solution to control the imbalance between supply and demand is to store the electricity temporarily, which in this paper was addressed by implementing a dynamic model of adiabatic compressed air energy storage (CAES) with Apros dynamic simulation software. Based on the literature review, the existing models due to their simplifications do not allow transient situations e.g. start-ups to be studied, and despite of its importance, part-load operation has not been studied with sufficient precision. The implemented model was validated against analytical calculations (nominal load) and literature information (part-load), showing considerable correlation. By incorporating the system with wind generation and electricity demand, the grid operation of CAES was studied. In order to enable this, the start-up and shutdown sequences based on manufacturer information were approximated in dynamic environment, to the authors’ best knowledge, for the first time. The initial results indicate that the modularly designed model offers an accurate framework for numerous studies in the future.

Nyckelord

energy storage, compressed air energy storage, dynamic simulation, numerical simulation

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