Integrated residential gateway controller for home energy management system

Kushiro, Noriyuki; Suzuki, Shigeya; Nakata, M.; Takahara, Hidenari; Inoue, Masahiro

doi:10.1109/tce.2003.1233787

Cited by 75 publications

(25 citation statements)

References 1 publication

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“…Many advances were proposed in order to improve HMS systems, such as the existence of integrated residential gateways [19] or the use of home internet network in HMS systems [20]. More features are proposed in [21], namely the use of wireless communication and the remote access to monitor and control house devices.…”

Section: House Energy Management Systemsmentioning

confidence: 99%

Dynamic load management in a smart home to participate in demand response events

Fernandes

Morais

Vale

et al. 2014

Energy and Buildings

123

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In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heat-ing systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources' management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system.

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Section: House Energy Management Systemsmentioning

confidence: 99%

Dynamic load management in a smart home to participate in demand response events

Fernandes

Morais

Vale

et al. 2014

Energy and Buildings

123

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“…For example, Hlacavs et al presented a distributed approach to achieve energy efficiency for future home environments/networks based on the resource sharing [25]. In [26], a home energy management system, based on a residential OSGi Gateway, is developed for reducing home energy consumption. Tompros et al proposed a network architecture that relies on an intelligent residential gateway to enable the programming of the energy consumption for the home devices [27].…”

Section: Related Workmentioning

confidence: 99%

A Power-Saving Technique for the OSGi Platform

Chen

Lin

Yan

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYWith more digital home appliances and network devices having OSGi as the software management platform, the power-saving capability of the OSGi platform has become a critical issue. This paper is aimed at improving the power-efficiency of the OSGi platform, i.e. reducing the energy consumption with minimum performance degradation. The key to this study is an efficient power-saving technique which exploits the runtime information already available in a Java virtual machine (JVM), the base software of the OSGi platform, to best determine the timing of performing DVFS (Dynamic Voltage and Frequency Scaling). This, technically, involves a phase detection scheme that identifies the memory phase of the OSGi-enabled device/server in a correct and almost effortless way. The overhead of the power-saving procedure is thus minimized, and the system performance is well maintained. We have implemented and evaluated the proposed power-saving approach on an OSGi server, where the Apache Felix OSGi implementation and the DaCapo benchmarks were applied. The results show that this approach can achieve real power-efficiency for the OSGi platform, in which the power consumption is significantly reduced and the performance remains highly competitive, compared with the other power-saving techniques.

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“…Research in the field of home/building energy management systems (HEMS/BEMS) is discussed in [3] [5]. Adding a new device to the existing system is difficult in above mentioned systems.…”

Section: Introductionmentioning

confidence: 99%

Context aware building energy management system with heterogeneous wireless network architecture

Prasad

Rajalakshmi

2013

6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)

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Abstract-Energy wastage in buildings is to be minimized to reduce the carbon footprint of electricity. Wireless sensor and actor networks (WSAN) have been providing solutions for effective energy management within buildings. In this paper, we present a decisive server based context aware energy management system for smart buildings through Cyber Physical System (CPS) models. A layered architecture for building energy management is proposed to enhance scalability of the system. Heterogeneous wireless network based multiple radio gateway is proposed and implemented to make the system more adaptive to different applications catering to variable data rates. A smart room test bed is deployed in the IIT Hyderabad campus, where the decisive server collects various physical parameters through sensors, and based on the context generates wireless control messages to power electronics based actuators. Integrating context awareness into the system increases the efficiency in terms of energy savings and was observed to be significant, around 30%. The paper also presents a detailed analysis on the turnaround time required to realise the real saving after recovering investments. Applications are developed to integrate smart phones and tabloids providing web enablement to the end user. In this paper, each of the sensors and actuators in the smart room are associated with a state machine, which enables modelling of the system using Hybrid automata for future scope of applications.

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Integrated residential gateway controller for home energy management system

Cited by 75 publications

References 1 publication

Dynamic load management in a smart home to participate in demand response events

Dynamic load management in a smart home to participate in demand response events

A Power-Saving Technique for the OSGi Platform

Context aware building energy management system with heterogeneous wireless network architecture

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