Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

Byun, Jinsung; Park, Sunghoi; Kang, Byeongkwan; Hong, Insung; Park, Sehyun

doi:10.1109/tce.2013.6626231

Cited by 41 publications

(11 citation statements)

References 18 publications

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“…The ESD [34] in Figure 7 plays the role of shutting off the power, based on the user's command, or a rule-based engine. Thus, it is possible to save wasteful power consumption and standby power consumption.…”

Section: Methodsmentioning

confidence: 99%

An IoT-Based Home Energy Management System over Dynamic Home Area Networks

Kim¹,

Byun²,

Jeong³

et al. 2015

International Journal of Distributed Sensor Networks

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A smart grid (SG) has attracted great attention due to recent environmental problems. SG technologies enable users, such as energy system operators and consumers, to reduce energy consumption and the emission of greenhouse gases, by changing energy infrastructure more efficiently. As a part of the SG, home energy management system (HEMS) has become increasingly important, because energy consumption of a residential sector accounts for a significant amount of total energy consumption. However, a conventional HEMS has some architectural limitations on scalability, reusability, and interoperability. Furthermore, the cost of implementation of a HEMS is very expensive, which leads to the disturbance of the spread of a HEMS. Therefore, this paper proposes an Internet of Things- (IoT-) based HEMS with lightweight photovoltaic (PV) system over dynamic home area networks (DHANs), which enables the construction of a HEMS to be more scalable, reusable, and interoperable. We suggest the techniques for reducing the cost of the HEMS with various perspectives on system, network, and middleware architecture. We designed and implemented the proposed HEMS and conducted a experiment to verify the performance of the proposed system.

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Section: Methodsmentioning

confidence: 99%

An IoT-Based Home Energy Management System over Dynamic Home Area Networks

Kim¹,

Byun²,

Jeong³

et al. 2015

International Journal of Distributed Sensor Networks

Self Cite

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“…The development direction of an energy-efficient home is shown in Fig. 1 [30]. Process monitoring carries a significant responsibility; it helps measure and assess the efficiency of measuring systems [31].…”

Section: Concept Of Intelligent Systemsmentioning

confidence: 99%

A State of Art Survey for Intelligent Energy Monitoring Systems

Ageed

Zeebaree

Sadeeq

et al. 2021

AJRCoS

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In this study, the significance and necessities of surveillance systems have been investigated in several areas - both in the use of neural networks, street lighting systems, factories, and laboratories - for the monitoring systems, especially concerning the design of artificial intelligence programs. The importance of these initiatives and how they can affect any sector and industry reach an essential point from here. Here we reach an important point. An algorithm and an extraordinary approach have been used in every field to develop an intelligent programmer. Something has been mentioned here: the ability to access these intelligent programs in all areas of life. We concentrate on a variety of fields of use and design of monitoring systems in this review article.

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“…In order to build a smart home environment for simulation, we modeled average power, standby power, and usage time of a total of 28 home appliances and directly measured data [32]. The contents are illustrated in Table 1.…”

Section: Modeling Of Home Appliance Usage Pattern In Smart Homementioning

confidence: 99%

Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home

et al. 2018

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Abstract:As energy issues are emerging around the world, a variety of smart home technologies aimed at realizing zero energy houses are being introduced. Energy storage system (ESS) for smart home energy independence is increasingly gaining interest. However, limitations exist in that most of them are controlled according to time schedules or used in conjunction with photovoltaic (PV) generation systems. In consideration of load usage patterns and PV generation of smart home, this study proposes an ESS control algorithm that uses constant energy of energy network while making maximum use of ESS. Constant energy means that the load consumes a certain amount of power under all conditions, which translates to low variability. The proposed algorithm makes a smart home a load of energy network with low uncertainty and complexity. The simulation results show that the optimal ESS operating target power not only makes the smart home use power constantly from the energy network, but also maximizes utilization of the ESS. In addition, since the smart home is a load that uses constant energy, it has the advantage of being able to operate an efficient energy network from the viewpoint of energy providers.

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Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

Cited by 41 publications

References 18 publications

An IoT-Based Home Energy Management System over Dynamic Home Area Networks

An IoT-Based Home Energy Management System over Dynamic Home Area Networks

A State of Art Survey for Intelligent Energy Monitoring Systems

Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home

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