A semantic representation of energy-related information in future smart homes

Kofler, Mario; Reinisch, Christian; Kästner, Wolfgang

doi:10.1016/j.enbuild.2011.11.044

Cited by 129 publications

(74 citation statements)

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“…The research on semantic representation of energy-related information in future smart homes is reported in [29]. This work focuses on the representation of individual homes' electrical entities and their energy demand or supply.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, smart home systems focusing on energy efficiency have been discussed in multiple articles [7], [8]. Most of this literature focuses on cost reduction by load management through dynamic electricity tariffs in smart grids.…”

Section: Introductionmentioning

confidence: 99%

“…An agent-based smart home, referred to as MavHome, is proposed in [27] in which a home acts as an intelligent agent in an adaptive and automated environment. A rule-based framework is proposed in [28] based on an Event-Condition-Action pattern inherited from the field of expert systems for heterogeneous subsystems management in smart home environment.The research on semantic representation of energy-related information in future smart homes is reported in [29]. This work focuses on the representation of individual homes' electrical entities and their energy demand or supply.…”

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confidence: 99%

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Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

Zhao¹,

Ding²,

Cooper³

et al. 2014

JOCET

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Abstract-This work proposes a smart home electricity management approach that can predict and schedule electricity demand and supply by considering: the 'state' of the smart grid, local power generation capacity, and electrical consumption of household appliances. The prediction of weather conditions and the immediate and longer-term plans of the residential home occupants are crucial parameters in the smart home decision-making system that acts on behalf of the occupants. This paper provides a motivation example and associated scenarios, electrical energy supply/demand models, formalization of the cost optimization problem, and scheduling schemes for a smart home electricity management system in the context of a smart grid, smart appliances, and local renewable energy resources. A case study is provided to illustrate how the proposed approach works.Index Terms-Smart grid, renewable energy, smart home, demand side energy management. I. INTRODUCTIONGlobal renewable energy generation capacity has been rising at a rapid rate in recent years. Renewables are on track to contribute significantly to electric power systems, for example, renewables accounted for almost half of the estimated 208 GW of new electric capacity installed globally in 2011 [1]. In particular, non-hydro renewables have registered a 24% capacity increase over 2010 and have exceeded 390 GW in total. Globally, wind and solar PV accounted for almost 40% and 30% of new renewable capacity, respectively.There is an emerging trend for residential homes on smart grids to have local electric power generation as a portion of electricity supply. Home power local generation usually comes from photovoltaic systems, micro combined heat and power (microCHP) systems, wind turbines, etc. With the incorporation of distributed renewable energy generators, the present power system will be transformed into a large-scale distributed generation system [2], [3]. In the classical centralized power network, electric power flows from power plants to the customer premises in a one-way supply mode. Distributed renewable energy resources bring new situations of local electricity production and two-way electricity flows which dramatically increases the control requirements on the grid. However, advances in information and communication technologies provide the opportunity for efficient data Manuscript received March 15, 2013; revised May 27, 2013. Weiliang Zhao, Lan Ding, and Paul Cooper are with the Sustainable Building Research Centre, Faculty of Engineering, University of Wollongong, NSW, 2522, Australia (e-mail: {wzhao, lding, pcooper}@ uow.edu.au).Pascal Perez is with the SMART Infrastructure Facility, University of Wollongong, NSW, 2522, Australia (e-mail: pascal@ uow.edu.au). collection and exchange. Emerging smart grid technologies can potentially change the power network into a digitally enabled electrical grid that collects, analyzes, and acts on information according to the dynamic status of both suppliers and consumers of energy. A smart grid can improve the effi...

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

Zhao¹,

Ding²,

Cooper³

et al. 2014

JOCET

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“…The development of IoT technologies can support a variety of applications, including the intelligent power grid [1][2][3][4], intelligent transportation [5,6], intelligent medicine and healthcare [7][8][9][10], intelligent art [11,12], intelligent logistics [13,14], intelligent environmental monitoring [15,16], smart life [17][18][19][20], etc. In a smart home context, numerous smart objects need to use wireless communications due to the requirements of supporting mobile applications and maintaining neat living space.…”

Section: Open Accessmentioning

confidence: 99%

Design and Implementation of an IoT Access Point for Smart Home

et al. 2015

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Network communication and micro-electro-mechanical embedded technologies have attracted much attention in recent years. Through these technologies, the capabilities of sensing, identification, and communication can be embedded in various smart devices. These smart devices can automatically connect to the Internet and form an intelligent network called Internet of Things (IoT). However, these devices are embedded with different wireless communication interfaces such as Wi-Fi and ZigBee. This paper presents the design and implementation of an IoT access point that supports functionalities of coordination of various wireless transmission protocols. Based on the existing Wi-Fi access point, we have embedded a ZigBee module and implemented ZigBee and UPnP protocols into the designed IoT access point, which supports ZigBee communication capabilities over the Internet.

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“…Building Performance [24] Managing Defect Management [25][26][27][28][29][30][31][32][33][34][35][36][37][38] Appraising Energy Efficiency [39] Checking Regulation [40] e-Learning Knowledge Representation…”

Section: Sourcesmentioning

confidence: 99%

Considering the Feasibility of Semantic Model Design in the Built-Environment

Grzybek

Gulliver

et al. 2014

Buildings

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Building Information Modeling (BIM) is the process of structuring, capturing, creating, and managing a digital representation of physical and/or functional characteristics of a built space [1]. Current BIM has limited ability to represent dynamic semantics, social information, often failing to consider building activity, behavior and context; thus limiting integration with intelligent, built-environment management systems. Research, such as the development of Semantic Exchange Modules, and/or the linking of IFC with semantic web structures, demonstrates the need for building models to better support complex semantic functionality. To implement model semantics effectively, however, it is critical that model designers consider semantic information constructs. This paper discusses semantic models with relation to determining the most suitable information structure. We demonstrate how semantic rigidity can lead to significant long-term problems that can contribute to model failure. A sufficiently detailed feasibility study is advised to maximize the value from the semantic model. In addition we propose a set of questions, to be used during a model's feasibility study, and guidelines to help assess the most suitable method for managing semantics in a built environment.

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A semantic representation of energy-related information in future smart homes

Cited by 129 publications

References 4 publications

Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

Design and Implementation of an IoT Access Point for Smart Home

Considering the Feasibility of Semantic Model Design in the Built-Environment

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