Demand Response with Smart Homes and Electric Scooters: An Experimental Study on User Acceptance
نویسندگان
چکیده
Smart technologies and electric vehicles are supposed to efficiently use renewable resources by shifting loads and storing surplus electricity. Although several field tests with smart meters, dynamic pricing or electric vehicles are conducted, hardly any consumer has experienced a combination of these components. So far, neither consumer perceptions nor the effectiveness of these demand response options are apparent. Test-residents were selected to move into KIT’s smart home for several weeks. It is equipped with smart appliances and two e-scooters. An energy management system schedules EMS) the operation time of appliances according to external price signals. Everything can be monitored on touch-screen panels provided in every room and on mobile devices. In this experimental setting demand response was tested in four phases: First, testresidents were provided with feedback. Then, different electricity-tariffs were introduced. Finally, the test-residents were able to fully use the EMS to schedule operation times of the smart appliances automatically. Electric scooters were provided for free use during the whole period. In general, the test-residents showed high interest in detailed information on their consumption. However, feedback alone had neither load-shifting nor conserving effects. These actions were realized when dynamic pricing was introduced. The willingness to shift consumption was limited to a few appliances (e.g., dishwasher) and depended on monetary savings. Charging the electric scooters was only shifted, if there was another vehicle available for emergencies. The automatic load-management ensured more convenience in shifting demand, especially in combination with dynamic electricity prices and load-limits.
منابع مشابه
Learning-Based Energy Management System for Scheduling of Appliances inside Smart Homes
Improper designs of the demand response programs can lead to numerous problems such as customer dissatisfaction and lower participation in these programs. In this paper, a home energy management system is designed which schedules appliances of smart homes based on the user’s specific behavior to address these issues. Two types of demand response programs are proposed for each house which are sh...
متن کاملScheduling of Residential Multiclass Appliances in Smart Homes UsingV2H Capability of Electric Vehicle
With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...
متن کاملSmart City Reference Model: Interconnectivity for On-Demand User to Service Authentication
The Internet of Things and Services (IoTS) has encouraged the development of service provisioning systems in respect to Smart City topics. Most of them are operated as heterogeneous systems which limits end customers’ access and contradicts with IoTS principles. In this paper, we discuss and develop a reference model of an interconnected service marketplace ecosystem. The prototypical implement...
متن کاملOptimal Energy Procurement of Smart Large Consumers Incorporating Parking Lot, Renewable Energy Sources and Demand Response Program
Large commercial and industrial loads known as large energy consumers are always seeking to reduce their energy costs and consequently they are utilizing renewable and non-renewable energy sources in procurement of their required energy. Use of renewable energy sources (RESs) and plug-in electric vehicles (PHEVs) parking lot without proper planning will make technical and economic problems for ...
متن کاملIntegrated Scheduling of Electric Vehicles and Demand Response Programs in a Smart Microgrid
Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also, the optimal scheduling of MGs will be result in reliable and economical operation of distribution system. In this paper, an operational planning model of a MG which considers multiple demand response (DR) programs is proposed. In the ...
متن کامل