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Data Driven Electricity Management for Residential Air Conditioning Systems: An Experimental Approach

Published on Jul 1, 2019in IEEE Transactions on Emerging Topics in Computing4.989
· DOI :10.1109/TETC.2017.2655362
Wen-Tai Li9
Estimated H-index: 9
(SUTD: Singapore University of Technology and Design),
Sai Ram Gubba3
Estimated H-index: 3
(IIT BBS: Indian Institute of Technology Bhubaneswar)
+ 5 AuthorsChao-Kai Wen22
Estimated H-index: 22
(NSYSU: National Sun Yat-sen University)
Sources
Abstract
Effective control of air conditioning systems (ACs) has the potential of significant electricity savings and demand response management for an entire power system. In this context, this paper demonstrates some key experimental results on controlling the electricity consumption of ACs. In particular, the degree to which energy can be throttled for energy management purposes without affecting the end user's comfort level is described. The testbed was set up in a residential building, in which the set point temperature of ACs installed within each apartment unit is controllable from a remote server. The main objectives were to reduce the consumption of electricity by the compressors, and to investigate the feasibility of having residential ACs as interruptible loads to participate in the electricity market. The algorithm used for controlling is explained in detail, and the users’ experiences during the experiments are briefly discussed. Extensive data collected throughout the experiment are provided to show the effectiveness of having ACs as flexible loads in reducing the power consumption by the compressors as well as the potential of offering ACs as interruptible load into the market without compromising user comfort.
  • References (29)
  • Citations (13)
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References29
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#1Bo Chai (SGCC: State Grid Corporation of China)H-Index: 11
#2Alberto Costa (NUS: National University of Singapore)H-Index: 11
Last. Zaiyue Yang (ZJU: Zhejiang University)H-Index: 19
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In this paper, we consider the optimal meeting scheduling problem in a commercial building over a fixed period of time, with the objectives of minimizing the cost of energy consumption by the air-conditioning system and possibly achieving more balanced power distribution. By considering a set of realistic factors, including the eligible time slots of attendees and energy consumption characteristics of meeting rooms, this problem is formulated as a constrained mixed-integer linear program, which ...
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#2Tao Wang (SUTD: Singapore University of Technology and Design)H-Index: 6
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Air conditioning (AC) systems are responsible for the major percentage of energy consumption in buildings. Shared spaces constitute considerable office space area, in which most office employees perform their meetings and daily tasks, and therefore the ACs in these areas have significant impact on the energy usage of the entire office building. The cost of this energy consumption, however, is not paid by the shared space users, and the AC's temperature set-point is not determined based on the us...
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The Internet of Things envisions integration, coordination, communication, and collaboration of real-world objects in order to perform daily tasks in a more intelligent and efficient manner. To comprehend this vision, this article studies the design of a large-scale IoT system for smart grid application, which constitutes a large number of home users and has the requirement of fast response time. In particular, we focus on the messaging protocol of a universal IoT home gateway, where our cloud e...
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Monitoring and analysis of energy use and indoor environmental conditions is an urgent need in large buildings to respond to changing conditions in an efficient manner. Correct estimation of occupancy will further improve energy performance. In this work, a smart controller for maintaining a comfortable environment using multiple random neural networks (RNNs) has been developed. The implementation of RNN-based controller is demonstrated to be more efficient on hardware and requires less memory c...
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#1Kan Zhou (UVic: University of Victoria)H-Index: 4
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Heating ventilation and air-conditioning (HVAC) system can be viewed as elastic load to provide demand response. Existing work usually used HVAC to do the load following or load shaping based on given control signals or objectives. However, optimal external control signals may not always be available. Without such control signals, how to make a tradeoff between the fluctuation of non-renewable power generation and the limited demand response potential of the elastic load, while still guaranteein...
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The smart grid is widely considered to be the informationization of the power grid. As an essential characteristic of the smart grid, demand response can reschedule the users' energy consumption to reduce the operating expense from expensive generators, and further to defer the capacity addition in the long run. This survey comprehensively explores four major aspects: 1) programs; 2) issues; 3) approaches; and 4) future extensions of demand response. Specifically, we first introduce the means/ta...
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Abstract Most existing methods for controlling the energy consumption of air conditioning (AC), focus on either scheduling the switching (on/off) of compressors or optimizing the overall energy consumption of AC system of an entire building. Unlike commercial buildings, residential apartments typically house separate ACs in individual rooms occupied by people with different thermal comfort preferences. Fortunately, the advancement of Internet-of-Things (IoT) technology has enabled the exploitati...
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