Smart heating and air conditioning scheduling method incorporating customer convenience for home energy management system

Jo, Hyung‐Chul; Kim, Sangwon; Joo, Sung-Kwan

doi:10.1109/tce.2013.6531112

Cited by 116 publications

(51 citation statements)

References 15 publications

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“…Hyung-Chul Jo, et al had discussed scheduling method for HEMS the smart heating and air conditioning that considers customer convenience as well as characteristics of thermal appliances in a smart home environment. The prototype software based on the proposed method for HEMS is also implemented [11]. F. Baig, et al, in this paper, the proposed method was encouraging and cost effective.…”

Section: Introductionmentioning

confidence: 86%

Design and Implementation of Smart Home Energy Management System Based on GSM Network

Saleh

Mubdir

Al-Hindawi

et al. 2017

KJAR

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Abstract:The aim of this research is to design and implement a prototype of a home energy management system based on SMS service on GSM network. The proposed system can remotely monitor and control the home appliances using a mobile phone. The proposed system consists of a microcontroller connecting home appliances and lighting through sensors and relays. The microcontroller is also connected with a GSM module to support this system operate with an existing GSM network. This system is implemented using a GSM module that is connected with the personal computer representing the designed microcontroller. The home appliances, sensors and relays are modeled and simulated using Visual Basic programs. Software programs are developed and built into the personal computer to activate and control the home appliances according to received commands from the user mobile phone or to monitor and send their status to the mobile phone according to user request. The implemented system is tested practically with several cases at different times and it operates successfully with reasonable flexibility and secure operation. A good compatibility of the developed programs is achieved, since the system is running continuously without interruption under normal conditions of GSM network operation. It is found that the execution times for control and monitoring massages are 19.63 seconds and 19.33 seconds respectively.

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Section: Introductionmentioning

confidence: 86%

Design and Implementation of Smart Home Energy Management System Based on GSM Network

Saleh

Mubdir

Al-Hindawi

et al. 2017

KJAR

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“…However, these costs can be reduced through the cooperative operation of the customer side. A cooperative operation system is possible with HEMSsmart grid technology [45][46][47][48]. The reactive power incentive concept provides an amount of profit to the customer to contribute to the sustainable power system of DisCo.…”

Section: Reactive Power Incentive Methodsmentioning

confidence: 99%

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

et al. 2018

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Featured Application: The incentive method with flexible contribution functions can be applied to demand response by the reactive power market and distribution company, which has the possibility to reduce the additional installation of distribution control equipment and battery capacity. It also leads to the reduction of total electricity purchase cost of consumers, and the power system can achieve high mixing of renewable energy in the grid with the reactive power incentive demand response and the IoT development. Furthermore, reliability assessment of cooperative control with the participation rate will give an important contribution to the robust design of the system. Abstract: In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.

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“…The system calculates the value with the collected data per minute and then, sends a signal to the air conditioner in the bedroom as the HAVC control system, if the values show discomfort during nights in summer nights. References [7][8] [9] introduce the HVAC systems using the PMV values; however, this study focuses on creating the environment required to maintain pleasant sleep in summer. The problem, which is caused by warm nights, could be triggers considerable deconditioning towards people.…”

Section: B Utilization Methodsmentioning

confidence: 99%

HVAC System for Maintaining Pleasant Sleep During Warm Nights in Japan

Matsui

2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Global warming has deconditioned people to rapid changes in temperature. Further, recently the incidence of warm nights has increased. In Japan, warm nights are often observed in the middle of August in Japan and cause loss of sleep and deconditioning. This problem is being discussed in Japan because such nights make it difficult for people to sleep well and consequently, they fall sick. In particular, people with heart disease fall sick easily and this could lead to serious medical conditions. A heating, ventilation, and air conditioning (HAVC) control system, which enables people to have pleasant sleep during summer nights, effectively addresses this problem. In this paper, a new HVAC control system, which focuses on providing better environmental conditions for ensuring pleasant sleep by the use of air conditioning, is presented. The system collects environmental data and calculates Predicted Mean Vote (PMV), which indicates comfort in a room, and then controls the air to maintain a normal temperature. PMV is a value used for expressing the people's comfort and is calculated using environmental and physical data. To collect the PMV value, at intervals of 1min, the proposed HAVC control system has a data collection function; the system then generates a signal to control the air conditioning. When the PMV value is over or under the comfort region, the air conditioning is turned out and this helps create a better environment for the better sleep. To confirm the effectiveness of the proposed HAVC control system, the system was installed in a bedroom of a house where two people lived and an experiment was conducted for 10-days by using this system. Further, to evaluate the proposed system, sleeping condition data collected by wearable devices were utilized. A comparison of the data of 5 days when the proposed system was not used and those of 5 days when the proposed system was used revealed a 13.6% improvement in the sleeping conditions. Moreover, answers to a web-based questionnaire revealed that the participants' comfort level was higher than usual on nights when the proposed system was used.

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Smart heating and air conditioning scheduling method incorporating customer convenience for home energy management system

Cited by 116 publications

References 15 publications

Design and Implementation of Smart Home Energy Management System Based on GSM Network

Design and Implementation of Smart Home Energy Management System Based on GSM Network

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

HVAC System for Maintaining Pleasant Sleep During Warm Nights in Japan

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