Abstract The constraint-based nonlinear multivariate function optimization algorithm was used to optimize the distribution of cooling load between chillers and ice-storage tanks. The goal is to minimize the cooling load and system running costs of the air-conditioning system. Based on the peak-valley price principle of the power grid system, the most economical running of the ice-storage air-conditioning system is achieved. The results show that compared with the traditional ice-storage air-conditioning system control algorithm, the proposed method can reduce the power consumption of the system by 10.32% and reduce the system operating cost by 12.07% under the premise of satisfying the demand for terminal cooling capacity.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on Optimal Control Algorithm of Ice Thermal-Storage Air-Conditioning System


    Contributors:
    Yu, Junqi (author) / Yang, Xiong (author) / Zhao, Anjun (author) / Zhou, Meng (author) / Ren, Yanhuan (author)


    Publication date :

    2019-01-01


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    THERMAL CONDITIONING SYSTEM

    YAHIA MOHAMED / NICOLAS BERTRAND / KARL STEFAN | European Patent Office | 2024

    Free access

    Thermal conditioning system

    YAHIA MOHAMED / NICOLAS BRUNO / KAAR SIMON | European Patent Office | 2023

    Free access

    THERMAL CONDITIONING SYSTEM

    YAHIA MOHAMED / NICOLAS BERTRAND / KARL STEFAN | European Patent Office | 2024

    Free access

    Thermal conditioning system

    YAHIA MOHAMED / NICOLAS BRUNO / KAAR SIMON | European Patent Office | 2023

    Free access