Design and optimization of a small compressed air energy storage system for isolated applications

SedighNejad, Hanif (2022) Design and optimization of a small compressed air energy storage system for isolated applications. Masters thesis, Memorial University of Newfoundland.

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In this study, a variety of practical and theoretical CAES systems are reviewed in order to show the current status of the available CAES systems. Then a small scale compressed air energy storage for small isolated wind based hybrid energy system is introduced and discussed. In order to develop a cost-effective renewable based hybrid energy system, this research investigates the optimization of each component of the system from the wind turbine to the load to deliver the required energy in the most efficient way. After finding the general control strategy for energy harvesting from the wind, the control strategy based on predictive initial working condition of the air vane motor is investigated through practical tests. A control path is developed using the implemented air motor steady state operation based on its manufacturer datasheet, and it is used to supply a fixed amount of power to the grid. A new criterion for evaluation of different energy storage system with identical power rating and storage capacity is proposed and examined during a case study and the performance of pumped hydro, battery and compressed air energy systems are compared based on the total shortage time and total fuel consumption of backup diesel generators. The Monte Carlo simulation was used in order to regenerate the wind speed data with 10 minute resolution to represent more accurate variable wind speed. The proposed Harvested Energy Index (HEI) showed the ability of energy storage systems with low efficiency in utilizing excess wind energy and reach their storage capacity. Based on the obtained results, a novel general control concept for such systems is proposed and its steady state simulation results are discussed.

Item Type: Thesis (Masters)
Item ID: 15324
Additional Information: Includes bibliographical references (pages 186-204).
Keywords: compressed air energy storage system, hybrid energy system, isolated communities, system sizing and optimization, harvested energy index
Department(s): Engineering and Applied Science, Faculty of
Date: May 2022
Date Type: Submission
Digital Object Identifier (DOI):
Library of Congress Subject Heading: Compressed air--Storage; Wind power; Energy harvesting; Monte Carlo method.

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