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Research on Optimization Strategy of Central Air-conditioning System for Power Demand Response

Published: 13 December 2022 Publication History

Abstract

In order to meet the current power demand and alleviate the shortage of power supply more reasonably, user-friendly, and conveniently, and then realize the optimal allocation of power resources in public buildings, this paper studies the response scheduling strategy for the central air-conditioning system under power demand response from the perspective of occupants. It designs an optimal control strategy for the central air-conditioning system based on the comfort evaluation factor to determine the response priority. The genetic algorithm is used to realize the energy efficiency optimization of the system so that the central air-conditioning system has a higher energy efficiency ratio with less loss of human body comfort. The feasibility and effectiveness of this strategy in flexible control strategies are verified through project examples.

References

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  1. Research on Optimization Strategy of Central Air-conditioning System for Power Demand Response

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    CSAE '22: Proceedings of the 6th International Conference on Computer Science and Application Engineering
    October 2022
    411 pages
    ISBN:9781450396004
    DOI:10.1145/3565387
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 December 2022

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    Author Tags

    1. central air- conditioning system
    2. energy efficiency optimization
    3. flexible control
    4. power demand response

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • Science and Technology Project of State Grid Shandong Electric Power Company

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    CSAE 2022

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    Overall Acceptance Rate 368 of 770 submissions, 48%

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