Demand response using air conditioner

Hamanaka, Masayoshi; Horie, Shunsuke; Owaki, Daiki; Nimi, Kenshu; Yukita, Kazuto; Matsumura, Toshiro; Goto, Yasuyuki; Hirose, Keikichi

doi:10.1109/intlec.2017.8214142

Cited by 5 publications

(4 citation statements)

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“…In addition to control approaches and efficiency improvements, DR can be implemented for ACs if the use of ACs for certain location is known. In [236], the percentage of ACs use is determined by measuring CO 2 indirectly from the number of people that occupy a certain residence. Future AC power demand requirement can be predicted for certain residences from the number of people.…”

Section: ) Dlc For Acsmentioning

confidence: 99%

“…Modelling of optimal DR control [51] Dry bulb temperature/relative humidity measurement [170] AC load profiles in one second resolution [245] Stochastic dynamic programming [66] Distributed control algorithm [228] MILP [218] Termal model of grey-box room in combination with optimization techniques [101] THIC [246] Novel THIC [184], [185] Novel THIC and its associated control [186] THIC for moisture and temperature control [182] SSPCM in building [189] Fuzzy expert system [121] Utilizing temperature set backs and energy efficient measures (EEMS) [179] MPC [55] Program of DLC [198]- [200] Queuing system modelling [233] Strategy of robust AC sequence [146] Fast DEM and response control approach [231] Control of direct power limit [232] Control of AC usage according to number of people in a building by measuring CO 2 [236] Case study The sales of ACs have increased worldwide over the last few years. AC usage is dependent on several social, economic and climatic factors.…”

Section: Techniquesmentioning

confidence: 99%

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Technologies and Practical Implementations of Air-conditioner Based Demand Response

Waseem

Lin

Ding

et al. 2021

Journal of Modern Power Systems and Clean Energy

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Nowadays, the most notable uncertainty for an electricity utility lies in the electrical demand of end-users. Demand response (DR) has acquired considerable attention due to uncertain generation outputs from intermittent renewable energy sources and advancements of smart grid technologies. The percentage of the air-conditioner (AC) load over the total load demand in a building is usually very high. Therefore, controlling the power demand of ACs is one of significant measures for implementing DR. In this paper, the increasing development of ACs, and their impacts on power demand are firstly introduced, with an overview of possible DR programs. Then, a comprehensive review and discussion on control techniques and DR programs for ACs to manage electricity utilization in residential and commercial energy sectors are carried out. Next, comparative analysis among various programs and projects utilized in different countries for optimizing electricity consumption by ACs is presented. Finally, the conclusions along with future recommendations and challenges for optimal employment of ACs are presented in the perspective of power systems.

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Section: ) Dlc For Acsmentioning

confidence: 99%

Section: Techniquesmentioning

confidence: 99%

Technologies and Practical Implementations of Air-conditioner Based Demand Response

Waseem

Lin

Ding

et al. 2021

Journal of Modern Power Systems and Clean Energy

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“…Buildings with inverter air conditioners can act as virtual energy storage (VES), because of their thermal energy storage capability and the fact that the human body has no obvious response to temperature changes within a certain range. In [12], it was experimentally proved that the demand response of air conditioners is effective. Under the premise of ensuring the basic comfort of users [13], air conditioners can be equivalent to a load resource with flexible dispatch capability, which has huge potential [14].…”

Section: Introductionmentioning

confidence: 99%

“…There have been a number of studies conducted regarding demand response from air conditioners at different levels, including both household [15,16] and aggregation levels. Both simulation and experimental studies [12] have been conducted. The air conditioners considered included split air conditioners and central air conditioners [17].…”

Section: Introductionmentioning

confidence: 99%

Control Strategy for Inverter Air Conditioners under Demand Response

et al. 2019

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Air conditioning loads are important resources for demand response. With the help of thermal energy storage capacity, they can reduce peak load, improve the reliability of power grid operations, and enhance the emergency capacity of a power grid, without affecting the comfort of the users. In this paper, a virtual energy storage model for inverter air conditioning loads, which reflects their operating characteristics and is more conducive to practical application, is established. Two parts are involved in the virtual energy storage model: An electrical parameter part, based on the operating characteristics, and a thermal parameter part, based on the equivalent thermal parameter model. The control function and restrictive conditions of the virtual energy storage are analyzed and a control strategy, based on virtual state-of-charge ranking, is proposed. The strategy controls the inverter air conditioners through re-assigning indoor temperature set-points within the pre-agreed protocol interval and gives priority those with a higher virtual state of charge. As a result, electric power consumption is reduced while the temperature remains unchanged, so that a shortage in the power system can be compensated for as much as possible, while the comfort of users is guaranteed. Simulation and example analyses show that the strategy is effective in controlling air conditioning loads. Additionally, the influences of load reduction target magnitude and communication time-step on the performance of the control strategy are analyzed.

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Hardware-in-the-loop Towards Frequency Regulation Service by HVACs with Real-time Digital Simulator

Hui

Zhang

2023

2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)

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Demand response using air conditioner

Cited by 5 publications

References 0 publications

Technologies and Practical Implementations of Air-conditioner Based Demand Response

Technologies and Practical Implementations of Air-conditioner Based Demand Response

Control Strategy for Inverter Air Conditioners under Demand Response

Hardware-in-the-loop Towards Frequency Regulation Service by HVACs with Real-time Digital Simulator

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