The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
On behalf of the Technical Program Committee of the IEEE SmartGridComm2016, it is my great honor and pleasure to welcome you to the 7th IEEE International Conference on Smart Grid Communications. SmartGridComm 2016 takes place in the beautiful harbor city of Sydney on 6–9 November 2016. IEEE SmartGridComm 2016 will feature a technical program centered around four thematic symposia, namely Communications,...
In a smart city infrastructure, Wireless Sensor Network (WSN) is the most important technique to collect environmental data to provide services. WSN becomes more and more popular research area because of its usefulness and huge demand. Since energy resource in WSN is limited, the design of a WSN system should consider energy effectiveness as well as fulfilling application requirements. The effectiveness...
This paper studies efficiency improvement of DC power network by using multi-terminal power flow controller (MTPFC). We have proposed MTPFC for flexible and precise power flow control in DC power networks. The circuit topology and the control method have been investigated and it has been clarified that MTPFC is effective for power flow control in DC power networks. In this paper, we address efficiency...
A typical service provided by a Smart City is a Home Energy Management System (HEMS), an automated system that uses sensor networks to collect usage of home appliances and devices such that the collected data are accessible by the local government. For example, Smart meters, installed within individual homes, can send measures of electricity consumption for analysis in the context of the global community...
Hybrid energy systems, combining two or more energy sources into a single system, are a promising way of increasing the efficiency of energy production and demand but the complexity of their management increases when several types of power production are combined on the same site. Several energy demands as electricity, heating and cooling require several generators integrating their production in...
Reducing the operating energy costs of commercial buildings is an important problem faced by the facility managers. Additionally, energy cost from heating-ventilation-air-conditioners (HVAC) is a significant fraction (often greater than 50%) of the overall operational cost of these buildings. In this paper, we propose a pre-cooling framework that uses a “gray box” thermal model of a building to compute...
Modern day District Heating and Cooling (DHC) networks are complex interconnections of heat energy sources and heat energy consumers wherein the available energy from the sources is networked to the consumers for meeting their space heating (or cooling) requirements. Often, the energy sources are renewables and thermal run-off from industrial processes which are intermittent. Under extremely exigent...
The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial...
Air conditioning in recent BEMS is now being highly automated, but providing true thermal comfort to building occupants and visitors is still challenging due to difficulty of sensing whole 3D space with limited number of sensors. In particular, thermal effect by crowd of people has not been considered so far in such automated air conditioning. This paper presents a method to accurately estimate the...
This paper proposes a novel incentive-based demand response (DR) program that can be utilized by a service provider (SP) to procure capacity resources from its subscribed customers in terms of a load reduction. By providing incentives in advance, the SP can induce customers to participate in the program and voluntarily determine the quantity of load reduction to be sold to the SP. Stackelberg game...
In this paper, we propose a method that uses model predictive control (MPC) to predict photovoltaic (PV) power generation, plan for the electricity demand in a building using the predicted value, and apply it online to correct the prediction error. First, we construct the regression model using a PV experimental unit and past data obtained from the Meteorological Agency. Next, we predict the PV power...
The smart grid uses bidirectional flows of electricity and information to automatically control generation, transmission, and consumption of electricity. Users in the grid are able to exchange information with the grid or other users and to sell their excess energy to those in need. In addition, the smart grid enables the extensive deployment of renewable energy sources, which was impossible in the...
The perfectly competitive market by increasing distributed energy sources determines the electricity price uniquely. Some prior works proposed pricing methods that aim to maximize social welfare and allocate the optimal power consumption to consumers. Those works determined the optimal market price and energy procurement that balance supply and demand Due to the high penetration of renewable energy...
Smart Grids and Home Energy Management System (HEMS) have been propagated by energy liberalization, and there is a demand for services, which are based on analysis of energy consumption data. For instance, a recommendation on effective utilization of home appliances in order to reduce power consumption. However, it is computationally expensive to analyze data in order to provide an energy-saving handbook,...
This paper assesses the potential cost-saving incentives for content distribution networks to shift traffic load among geographically distributed data centers in response to hourly variation in electricity prices. Such incentives are likely aligned with benefits to utilities and grid operators, which might take the form of peak-shaving or ancillary services. However, private cost savings are not strictly...
This paper proposes a new heating, ventilation, and air conditioning (HVAC) control system that acts as a home energy-management system (HEMS) function to prevent heat shock. Heat shock, which causes serious problems such as heart disease and cerebral infarction, occurs when people experience sudden temperature changes on moving from one room to another. The phenomenon occurs because of global warming,...
Electrical load monitoring, by means of a smart meter, is getting more and more popular these days. Power demand information from smart meters is drawing attention among researchers, since it could be applied for power demand control. Providing attractive services with smart meters encourage electricity retailers to utilize demand side management, which could be a solution for energy-related problems...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.