DEVELOPMENT OF A HOME ENERGY MANAGEMENT SYSTEM BASED ON THE MEASUREMENT AND CONTROL OF ELECTRICITY CONSUMPTION OF HOME APPLIANCES

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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Estimation of Reduced Standby Power in Household Considering Occupancy Information

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.717.619 ◽

2013 ◽

Vol 717 ◽

pp. 619-624

Author(s):

Min Goo Lee ◽

Yong Kuk Park ◽

Kyung Kwon Jung

Keyword(s):

Energy Management ◽

Management System ◽

Wireless Sensor ◽

Energy Management System ◽

The Real ◽

Home Appliances ◽

Home Energy Management ◽

Environmental Sensor ◽

Standby Power ◽

Home Energy Management System

In this paper, we measure the standby power of home appliances and then we propose an easy way to reduce standby power of home appliances. For this purpose, this paper presents the home energy management system with a wireless sensor network in real home. Proposed system is composed of wireless plug, occupancy sensor, environmental sensor, home energy control wall pad and EMS server. We evaluated home energy management system in the real house testbed and analyzed energy consumption of home appliances. We confirm that if we tried to reduce the standby power of electrical appliances based on the occupancy of the residents, we could save the power of the real house testbed about 241.7Wh per day, 1.69kWh per week, 7.49kWh per month and 88.2kWh per year.

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Study on Smart Home Energy Management System Based on Artificial Intelligence

Journal of Sensors ◽

10.1155/2021/9101453 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Yunlong Ma ◽

Xiao Chen ◽

Liming Wang ◽

Jianlan Yang

Keyword(s):

Energy Management ◽

Management System ◽

Smart Home ◽

Electricity Consumption ◽

Optimal Scheduling ◽

Energy Sources ◽

Energy Management System ◽

Home Energy Management ◽

New Energy ◽

Home Energy Management System

With the increase of household electricity consumption and the introduction of distributed new energy sources, more attention has been paid to the issue of optimizing the cost of electricity purchase for household customers. An effective way to deal with these problems is through home energy management system (HEMS). In this paper, a model of home energy management is presented to optimize the home energy mix. The operation of home electricity consumption devices, distributed generation systems, and energy storage devices, as well as the charging and discharging of electric vehicles, are all considered. HEMS is a self-regulating system that can accommodate fluctuations in tariffs and home electricity consumption. The structure and the optimal scheduling algorithm of HEMS are introduced. The smart grid and demand response, smart home, new energy generation, energy storage, and other related technologies are discussed. Furthermore, the optimal scheduling of power consumption devices and energy sources in the HEMS and future development directions are explained and analyzed. A framework of HEMS is presented on the basis of advanced metering infrastructure (AMI). The framework adopts a local information management terminal as the core of data storage and scheduling in the home. Based on the timely purchase of electricity from the grid and the generation of electricity in combination with PV systems, an optimized simulation model for the scheduling of a new home energy management system is established. In addition, the application prospects of artificial intelligence in the HEMS are overviewed.

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Analysis of the Effects of the Home Energy Management System from an Open Innovation Perspective

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc4030031 ◽

2018 ◽

Vol 4 (3) ◽

pp. 31 ◽

Cited By ~ 3

Author(s):

EungSuk Park ◽

BoRam Kim ◽

SooHyun Park ◽

Daecheol Kim

Keyword(s):

Power Consumption ◽

Electric Power ◽

Real Time ◽

Energy Management ◽

Management System ◽

Electricity Consumption ◽

Electric Power Consumption ◽

Energy Management System ◽

Home Energy Management ◽

Home Energy Management System

The Home Energy Management System (HEMS) is a system for the efficient electric power consumption of each household. It can provide real-time electricity cost information according to electricity consumption, and households can immediately control their consumption of electricity. In this study, we analyzed the effects of the HEMS on the stability of demand for electric power. To do this, we analyzed the causal relationship between the amounts of electric power generation and consumption, from the system dynamics perspective. From the analysis, we found that in the current structure, the fluctuation of the quantity of demand became large due to the time delay in households recognizing the electric bill and adjusting their electric power consumption. However, when the HEMS was introduced, it could be seen that electric power demand remained stable since consumers could see their electricity bill in real-time and could manage their electricity consumption by themselves.

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Air Conditioning for Smart Home Energy Management System

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.35.22896 ◽

2018 ◽

Vol 7 (4.35) ◽

pp. 487

Author(s):

A. Ashraf ◽

M. Faisal ◽

K. Parvin ◽

Pin Jern Ker ◽

M. A. Hannan

Keyword(s):

Energy Management ◽

Management System ◽

Electricity Consumption ◽

End Users ◽

Energy Utilization ◽

Energy Management System ◽

Air Conditioner ◽

Home Energy Management ◽

Home Energy Management System ◽

Advanced Metering

Smart load management system with an advanced metering infrastructure operates to monitor the electricity consumption by the load and transferring data to the utility grid. It has direct benefit to the end-users by managing the load. This system has incorporated with home appliance for achieving the goal of home energy management system (HEMS) such as efficient energy utilization of house by avoiding the wastage. Efficient loading system can strengthen the efficient power utilization and thus can save the economy greatly. Air conditioner (AC), thermostat associated with a room were selected for this purpose as they have the high demand of electricity consumption. This study mainly focuses on developing the mathematical model and simulate it for the considered home appliances to assess the trend of electricity consumption. Research proved that, considering the ambient temperature developed model can provide the specific instructions for automatic controlling of the appliances which will save the electricity consumption and utility bill of end-users compare to the manual operation of the system. Matlab /Simulink software was used to implement and justify the model.

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