Tsuyoshi Ueno

Knowledge and transaction based domestic energy saving support system

To save home energy, this paper proposes an energy saving support system named KNOTES. By notifying the users of their energy consumption status and giving them suitable advice, it performs indirect control. Indirect control means that a smart system prompts users to change their life-style and reduce energy consumption. KNOTES enables the giving of advice based on its audit and the users personal biography. This paper also describes a simulation to verify the advice algorithm in the proposed system.

A study on energy consumption of elevator group supervisory control systems using genetic network programming

Elevator group supervisory control system (EGSCS) is a traffic system, where its controller manages the elevator movement to transport passengers in buildings efficiently. Recently, Artificial Intelligence (AI) technology has been used in such complex systems. Genetic Network Programming(GNP), a graph-based evolutionary method extended from GA and GP, has been already applied to EGSCS. On the other hand, since energy consumption is becoming one of the greatest challenges in the society, it should be taken as criteria of the elevator operations. Moreover, the elevator with maximum energy efficiency is therefore required. Finally, the simulations show that the elevator system has the higher energy consumption in the light traffic, thus, some factors have been introduced into GNP for energy saving in this paper.

A study of economic feasibility of Smart Community. - calculation of profit of Community Operator considering introduction of battery and co-generation systems

The idea of smart community which is expected to achieve effective utilization of energy at customer side, and contribute to stable operation of power system, for example peak shaving, et. is introduced recently. Since the smart community would optimize the local operation of the community that might affect the stable operation of distribution power system and whole power system, the development of cooperative operation method between community and power system is important. In order to develop the operation method of the community considering cooperation with power system, development of smart community model that is economically feasible is necessary. This report develops the economical evaluation model of smart community for arbitrary condition such as electricity price, purchasing price of generated power of PV, wheeling charge, et. and evaluate the economic efficiency of smart community. According to the evaluation results, a community operator can get benefit by operating community under the condition such as the lower penetration rate of PV, and higher rate of residential area that includes low voltage customers, in which the community operator can sell much electricity with expensive price to low voltage customers. By introducing co-generation system and utilizing exhaust heat for industrial area, the economic efficiency would increase and the community operator can get benefit from dealing with electricity transaction and selling exhaust heat to industrial customer. This paper also considers the Business Continuity Plan (BCP) and evaluates the maximum storage capacity under the condition that the community operator can get benefit, where the battery would be used for back-up power supply when the disaster occurred.

Monitoring system for a single aged person on the basis of electricity use

In order to develop a monitoring system for a single aged person by grasping his or her usage of electricity, we developed a method to infer whether residents have independently operated electric appliances or not from total load current of the household.