Back Issues 11-20

Research and Development of Air-Conditioning Chiller IoT Controller and Experiment of Automatic Demand Response Unloading Strategy

I-Huai Lu

Department of Industrial Management, I-Shou University, Kaohsiung City, Taiwan

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 Ming-Yuan Cho

Department of Electrical Engineering National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan 80778

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Hsiang-Chen Hsu 

Department of Industrial Management, I-Shou University, Kaohsiung City, Taiwan &

Department of Mechanical Automation Engineering, I-Shou University, Kaohsiung City, Taiwan, This email address is being protected from spambots. You need JavaScript enabled to view it..

Kuan-Hsiung Yang

Department of Mechanical Engineering, National Sun Yat-sen University, Kaohsiung City, Taiwan 80424

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Wei-Chen Tung

Orvis School of Nursing, University of Nevada- Reno, Reno, NV, USA 89557

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Abstract

The purpose of this paper is to design and develop an air conditioning chiller IoT controller with automatic demand response load control strategy by using the Internet of Things sensing layer technology. The proposed IoT controller adopts MODBUS-based air conditioner control systems to read and write operational data, and has the function of uploading information to the cloud server via wired Ethernet or wireless 4G transmission network. The proposed controller proceeds the automatic demand response of load management strategy for the power company or the energy service center, as well as carries out the demand side management, and implements the load control strategies of the user-side air-conditioning chiller to effectively reduce the peak load. The developed IoT controller initially used the Liling chiller as the test host, which provides three modes of line current control, unloading control, and chiller outlet/inlet temperature control for users to choose. Once the automatic demand response load shedding signal is activated, the IoT controller provides communication protocols of custom automatic demand response and an open ADR 2.0b to transfer the information with the service center of the aggregator. In instruction to verify the practicability and effectiveness of the IoT controller developed, this study selected the chiller with variable frequency and fixed frequency dual compressors in the southern public office for actual testing and verification. The test results can be used as guidance for chiller to participate in the automatic demand response.

Keywords: Air conditioning chiller, Internet of Things Controller, Automatic demand  response, Load shedding strategies, energy service center, load management strategy.

Attachments:

1122 Final.pdf

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1749 kB