Optimised Residential Loads Scheduling Based on Dynamic Pricing of Electricity : A Simulation Study

This paper presents a simulation study which addresses Demand Side Management (DSM) via scheduling and optimization of a set of residential smart appliances under day-ahead variable pricing with the aim of minimizing the customer’s energy bill. The appliances’ operation and the overall model are subject to the manufacturer and user specific constraints formulated as a constrained linear programming problem. The overall model is simulated using MATLAB and SIMULINK / SimPowerSystems basic blocks. The results comparing Real Time Pricing (RTP) and the Fixed Time Tariff (FTT) demonstrate that optimal scheduling of the residential smart appliances can potentially result in energy cost savings. The extension of the model to incorporate renewable energy resources and storage system is also discussedNon peer reviewedFinal Accepted Versio

Introducing smart grids in residential contexts : consumers' perception of smart household appliances

A more energy efficient supply and demand in household settings is high on the agenda. Smart grids, smart meters, demand side management and smart appliances play a crucial role in this context. Many stakeholders are involved, but the exact role of the customer is often neglected. More specifically, his opinion, attitude, drivers or barriers towards new ways of energy consumption and energy management. This paper employs a user-centric perspective. It aims at mapping consumers perception of the possibilities of demand side management through smart household appliances. A quantitative survey was conducted among 500 households spread over Flanders, Belgium. In this paper, the results of this survey with regard to the respondents perception of smart appliances are presented. The Technology Acceptance Model was used as the theoretical framework to measure these perceptions

Factors Influencing the Adoption of Smart-home Appliances: Users\u27 Perspectives

Smart appliances will be a significant part of the annual $300 billion smart-home market by 2025. Their use is expected to grow at a compounded annual growth rate of 31% for the foreseeable future. Currently, 12-16% of households use smart-home products in the U.S., including thermostats, TVs, refrigerators, coffee machines, garage door openers, and vision-equipped doorbells. Smart appliances provide significant benefits to us over traditional appliances. Smart appliances simplify our lives by automating various tasks in our homes and allowing us to monitor and control them remotely from our offices, grocery stores, and wherever we may be. Despite the usefulness and popularity of some smart appliances, recent research has shown that their adoption rate may not be increasing as expected. Every day, manufacturers rush to make appliances smarter through increased automation and connectivity without paying attention to consumers\u27 concerns about their use. However, if the manufacturers do not address consumers\u27 concerns about their smart appliances, they may not readily be adopted solely based on their features. Scholars have explored technology adoption through various sociology, psychology, and information science theories. The universal theory of acceptance and use of technology (UTAUT) combines these widely researched theories into a framework that can be used to explore the technology adoption process. This research qualitatively explores the critical factors antecedent to consumers\u27 adoption behavior of smart appliances using the UTAUT framework. The findings from this research have expanded the application of UTAUT to address the adoption of smart-home appliances. Further, to aid the adoption process, this research makes important suggestions to practitioners involved in developing, manufacturing, and marketing smart appliances: the need to focus on interoperability, the need to lower the consumers’ effort, and the need to handle consumers\u27 data ethically. Finally, the research also offers remedies to counteract consumers’ resistance to adopting smart appliances: providing an acceptable level of automation and connectivity in appliances

Integration of Legacy Appliances into Home Energy Management Systems

The progressive installation of renewable energy sources requires the coordination of energy consuming devices. At consumer level, this coordination can be done by a home energy management system (HEMS). Interoperability issues need to be solved among smart appliances as well as between smart and non-smart, i.e., legacy devices. We expect current standardization efforts to soon provide technologies to design smart appliances in order to cope with the current interoperability issues. Nevertheless, common electrical devices affect energy consumption significantly and therefore deserve consideration within energy management applications. This paper discusses the integration of smart and legacy devices into a generic system architecture and, subsequently, elaborates the requirements and components which are necessary to realize such an architecture including an application of load detection for the identification of running loads and their integration into existing HEM systems. We assess the feasibility of such an approach with a case study based on a measurement campaign on real households. We show how the information of detected appliances can be extracted in order to create device profiles allowing for their integration and management within a HEMS

Smart, smarter, smartest...: the consumer meets the smart electrical grid

In the current debate towards a more energy efficient supply and demand in household settings, notions such as smart grids, smart meters and smart appliances are of main importance. Different stakeholders are involved, but often neglected is the exact role of the customer, or more specific, his opinion, attitude, drivers or barriers towards these developments. As a consequence, this paper employs a user-centric perspective. It addresses issues such as the effect of giving personalized feedback on energy consumption and refers to studies that have been conducted concerning a possible future implementation of smart meters and smart appliances. Furthermore, it describes an innovative combination of different methodological techniques on the level of energy monitoring and user interrogation. This methodological set-up will allow to gain a clear insight in the willingness of consumers to accept different kinds of measures when it comes to smart metering and smart appliances in their daily life, as to have an efficient user adoption in the future

An Automatic Driver Deployment Mechanism In The Osgi Gateway For Smart Homes

Smart home consists of smart appliances that provide services to home users. Home users should be able to purchase additional new smart appliance anytime and use it instantly at home without any configuration involved. In this thesis, we explore a typical scenario for smart homes that utilizes an OSGi-powered residential gateway that provides interoperation between heterogeneous smart appliances. Drivers play a significant role in OSGi gateway to provide an integral aspect of services to users, as interoperation can only be possible if the gateway recognizes all heterogeneous smart appliances. An enhancement to OSGi Device Manager named A-ODM (Advance-OSGi Device Manager) is proposed to provide a zeroconfiguration environment to smart homes. A-ODM is an automatic driver deployment mechanism for OSGi gateway to resolve driver dependency externally.A smart home simulation with driver provisioning architecture have been designed and implemented to demonstrate the feasibility of a network delivery of driver provisioning through web service architecture. A-ODM is tested on several OSGi implementations to compare its performance. We observed that A-ODM performed better in OSGi implementations with smaller footprint

Where Does Online Go From Here?

Tenopir wonders where online technology will go in future. She explores such technologies as wearable information technologies, smart appliances, electronic paper and e-books

Minat Masyarakat dalam Menggunakan Smart Appliances

Harga sumber energi yang semakin naik dari tahun ke tahun dan kemajuan teknologi telah mendorong perkembangan smart grid. Smart appliance merupakan salah satu komponen penting dalam smart grid. Penerapan smart appliance sejalan dengan kebijakan untuk mengurangi konsumsi energi, mengurangi emisi karbon dan penyediaan energi dari energi terbarukan. Penetrasi telepon bergerak turut memudahkan manajemen energi dan otomatisasi home appliance. Penelitian ini dilakukan untuk menganalisis minat masyarakat, yang merupakan aktor aktif dalam konsumsi dan manajemen energi di rumah tangga. Data penelitian dianalisis dengan menggunakan metode structural equation modeling (SEM) Hasil penelitian menunjukkan bahwa variabel enjoyment memiliki pengaruh yang signifikan terhadap minat dalam menggunakan smart appliance. Sedangkan, variabel compatibility ease of use, relative advantage dan image tidak memiliki pengaruh yang signifikan terhadap minat menggunakan smart appliance