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Study on Energy-Saving Optimizing Control of Marine Variable Air Volume Air-Conditioning System

Published:26 March 2024Publication History

ABSTRACT

Variable Air Volume (VAV) air-conditioning systems focus on energy conservation and automation, adjusting the system's air supply volume in accordance with the load. In contrast to air conditioning systems with constant air volume, VAV air-conditioning systems can reduce energy consumption while providing better quality of air inside, superior energy efficiency, and flexible control over different zones. Currently, in buildings, VAV air-conditioning systems are commonly utilized, but the application in ships is still in the early stages. Marine VAV air-conditioning systems have lower loads, fewer terminal units, more frequent adjustments of terminal valves, and larger variations in system load and total air supply volume. These characters pose challenges for experimental testing, making computer simulation an effective approach. In this paper, the simulation model of a marine VAV air-conditioning system has been developed using the Simulink platform. Appropriate simplifications are made to the main modules, mainly focusing on the overall operation of the system. The VAV air conditioning system's macro-performance is assessed, and while satisfying the air supply needs, the ideal fan rotation speed and matching valve position are explored. The research results show that when the valve positions of all terminal devices are set at the optimal operating point, the fan power, diesel fuel consumption, and carbon emissions are significantly reduced, achieving energy-saving optimizing control of the fan. This research could serve as a guide for developing control strategies for marine VAV air conditioning systems.

References

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  • Published in

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    ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering
    November 2023
    764 pages
    ISBN:9798400708299
    DOI:10.1145/3640115

    Copyright © 2023 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 26 March 2024

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