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Demand Response and Optimization Control for Fresh Air of Building Air Condition Systems

Published: 31 July 2024 Publication History

Abstract

The increasing electricity demand and the developing renewable energy sources pose challenges to the stable operation of new power systems. Demand response has become a crucial measure to ensure the balance between electricity supply and demand. Heating, ventilation, and air conditioning (HVAC) systems are essential flexible response resources in buildings, with a high proportion of fresh air load energy consumption. However, it remains uncertain whether the fresh air systems can participate in the response and regulation of the power system and to what extent they can provide response potential. This article takes the fresh air system of office buildings as an example, and establishes direct and indirect response potential evaluation methods with the goal of minimizing unit hourly energy consumption and daily operating costs, respectively. The results indicate that the fresh air system has a fast regulation rate and is an excellent short-term response resource. When the personnel density is low, the response potential is large, and the energy consumption can be reduced by 20% to 100% per hour. The all-day response strategy based on time of use electricity prices can reduce operating costs by 14%. Moreover, this article further proposes a dual layer optimization control strategy that comprehensively considers short-term load shaving and long-term cost saving. It ensures maximum reduction of peak load while reducing overall operating costs, and has high application value for improving the contradiction between power supply and demand.

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  1. Demand Response and Optimization Control for Fresh Air of Building Air Condition Systems

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 31 July 2024

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