Smart homes: potentials and challenges

El-Azab, Rasha

doi:10.1093/ce/zkab010

Cited by 36 publications

(13 citation statements)

References 100 publications

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“…Technology such as electric heat pumps and variable refrigerant flux (VRF) systems are available to meet heating needs and help meet greenhouse gas targets for most climates. Many countries all around the world have also put forward many "rule of law" and subsidy programs to promote smart home integration, such as optimizing heating systems, supporting energy storage in buildings, and deploying smart meters [68][69][70]. Social research in Australia and the UK shows how the IoT increases energy demand [71].…”

Section: Impacts Of Digital Technologies On Energy Consumptionmentioning

confidence: 99%

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

2022

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Our paper tackles the topic of the digital technologies (represented by the information and communication technologies (ICT)) and the sustainable transformation and energy safety in households represented by the smart homes and the traditional households using smart appliances, gadgets, as well as smart meters connected to the Internet. The rapid growth and adoption of information and communication technologies, such as computers, mobile devices, sensors, and networks, can seriously affect the ways and amounts of energy used by society on its path toward sustainable development. There is a growing interest in characterizing the net energy impact of ICT as well as the Internet of Things (IoT) that arises from indirect effects that offset (or amplify) the energy directly consumed by ICT equipment. However, the society might need some time to build the trust in these new digital technologies and develop the wide social acceptance for their usage. In order to test these assumptions, we employ an empirical econometric model based on the data obtained from the online survey carried out with the randomly selected respondents (N = 523) from Russian Federation and the four European Union (EU) countries (Czech Republic, Germany, Poland, and Slovakia). Even with regard to the small size of the sample and thence the limitations stemming from that fact, our results demonstrate that familiarity with smart home technologies and the possibility to alter the tariffs and use flexible energy demand increase the safety of residents and consumers. In addition, it appears that energy efficiency is being rewarded, as energy consumption is sensitive to time constraints on supply. Furthermore, we find that respondents’ age (43% of the respondents belonged to the 36–55 age group), positive attitude to smart home technologies and the possibility to exploit the flexibility of demand offered by the variety of energy tariffs during and off-peaks all yield quite strong and positive relationships and correlations with the willingness to accept the smart home technology and the flexibility of demand. At the same time, concerns over personal security or sharing personal data related to energy consumption do not constitute major concerns for the respondents. Our results have some important impacts on the overall strategy for pursuing sustainable economic development and following the Sustainable Development Goals (SDGs) that might be useful for stakeholders and policymakers as well as for the researchers in this field.

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Section: Impacts Of Digital Technologies On Energy Consumptionmentioning

confidence: 99%

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

2022

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“…In this way, the data can be reused, accumulated, and visualized at any time [55]. Therefore, two main tasks need to be accomplished at this stage [56]:…”

Section: Data Analytics Layermentioning

confidence: 99%

Enabling Remote Elderly Care: Design and Implementation of a Smart Energy Data System with Activity Recognition

Franco,

Condon,

Martínez

et al. 2023

Sensors

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Seniors face many challenges as they age, such as dementia, cognitive and memory disorders, vision and hearing impairment, among others. Although most of them would like to stay in their own homes, as they feel comfortable and safe, in some cases, older people are taken to special institutions, such as nursing homes. In order to provide serious and quality care to elderly people at home, continuous remote monitoring is perceived as a solution to keep them connected to healthcare service providers. The new trend in medical health services, in general, is to move from ’hospital-centric’ services to ’home-centric’ services with the aim of reducing the costs of medical treatments and improving the recovery experience of patients, among other benefits for both patients and medical centers. Smart energy data captured from electrical home appliance sensors open a new opportunity for remote healthcare monitoring, linking the patient’s health-state/health-condition with routine behaviors and activities over time. It is known that deviation from the normal routine can indicate abnormal conditions such as sleep disturbance, confusion, or memory problems. This work proposes the development and deployment of a smart energy data with activity recognition (SEDAR) system that uses machine learning (ML) techniques to identify appliance usage and behavior patterns oriented to older people living alone. The proposed system opens the door to a range of applications that go beyond healthcare, such as energy management strategies, load balancing techniques, and appliance-specific optimizations. This solution impacts on the massive adoption of telehealth in third-world economies where access to smart meters is still limited.

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“…Nevertheless, there is currently no financial motivation for prosumers with PV, BESS, and DSM capability, to provide specific services that support the grid. For this reason, residential EMSs usually aim to maximize the prosumer's profit [5].…”

Section: Introductionmentioning

confidence: 99%

Optimal scheduling of prosumer's battery storage and flexible loads for distribution network support

Kelepouris

Nousdilis

Bouhouras

et al. 2023

IET Generation Trans & Dist

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Here, an efficient Energy Management System (EMS) for residential installations is proposed. The EMS handles on site Photovoltaic (PV) power production along with Battery Energy Storage System (BESS) and performs load shifting under a Demand Side Management (DSM) scheme that considers user comfort. The goal of the proposed methodology is the minimization of power exchange between the prosumer and the grid. In this way, the power flow across the Distribution Network (DN) is decreased, thus reducing power losses, and improving the voltage profile along the DN. Moreover, the EMS increases the self-sufficiency of the residence. The minimization problem is solved via a metaheuristic algorithm, namely Unified Particle Swarm Optimization (UPSO) utilizing real consumption patterns for residential appliances. The latter adds complexity to the problem but offers accurate modelling of the power demand and improves the performance of the EMS scheme. The proposed EMS is locally implemented as a plug-and-play scheme and benefits both the prosumer and the DN under low computational burden, proving to be efficient. Simulation results for a case study verify the efficiency of the proposed EMS and the comparison with other similar methods proves its superior performance.

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Smart homes: potentials and challenges

Cited by 36 publications

References 100 publications

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

Enabling Remote Elderly Care: Design and Implementation of a Smart Energy Data System with Activity Recognition

Optimal scheduling of prosumer's battery storage and flexible loads for distribution network support

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