Insung Hong

A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting

Emerging green IT and smart grid technologies have changed electric power infrastructure more efficiently. These technologies enable a power system operator and a consumer to improve energy efficiency and reduce greenhouse gas emissions by optimizing energy distribution and management. There are many studies of these topics with the trend of green IT and smart grid technology. However, existing systems are still not effectively implemented in home and building because of their architectural limitations. Therefore, in this paper, we propose a smart energy distribution and management system (SEDMS) that operates through interaction between a smart energy distribution system and a smart monitoring and control system. Proposed system monitors information about power consumption, a user¿s situation and surroundings as well as controls appliances using dynamic patterns. Because SEDMS is connected with the existing power grid and with the newrenewable energy system, we consider integration of new renewable energy system through electric power control. We implemented proposed system in test-bed and carry out some experiments. The results show that a reduction of the service response time and the power consumption are approximately 45.6% and 9-17% respectively.

Intelligent household LED lighting system considering energy efficiency and user satisfaction

Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light accounts for a great part of the total energy consumption. Various light control systems are introduced in current markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural limitations, the existing light control systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent household LED lighting system considering energy efficiency and user satisfaction. The proposed system utilizes multi sensors and wireless communication technology in order to control an LED light according to the users state and the surroundings. The proposed LED lighting system can autonomously adjust the minimum light intensity value to enhance both energy efficiency and user satisfaction. We designed and implemented the proposed system in the test bed and measured total power consumption to verify the performance. The proposed LED lighting system reduces total power consumption of the test bed up to 21.9%1.

Intelligent cloud home energy management system using household appliance priority based scheduling based on prediction of renewable energy capability

Recent advances in micro-grid and distributed renewable energy have facilitated more efficient home energy management systems. However, due to characteristics of renewable energy such as intermittent energy generation, home energy management systems are inefficient and the recent systems therefore cannot be successfully applied to existing home. Therefore, this paper proposes intelligent cloud home energy management system (iCHEMS), considering these issues. iCHEMS assigns dynamic priority to a household appliance according to the type of appliance and its current status. In accordance with the assigned priority, the use of household appliances is scheduled considering renewable energy capability. We implemented iCHEMS in the test bed and conducted an experiment to verify the efficiency of the proposed system. The results show that the proposed system reduces the average total power consumption by up to 7.3 percent.

Design and implementation of power-aware LED light enabler with location-aware adaptive middleware and context-aware user pattern

Recent advances in ubiquitous technologies facilitate location-aware and power-aware systems that can provide predefined services. Recent research efforts are based on control mechanisms for standby power reduction. Conventional systems are only designed for power reduction of the consumer electronics. However, due to their architectural limitations, the recent systems are not flexible with respect to LED light control for power reduction. We need to consider efficient autonomous power control based on intelligent devices and the power-aware service prediction in networked environments. In this paper, we propose a power-aware LED light enabler with light sensors, motion sensors and network interfaces. The LED light enabler also communicates with context-aware middleware using an intelligent power gateway that adaptively determines the optimal power control by analyzing user living patterns using sensing data obtained by devices. Our power-aware LED light enabler with adaptive middleware dynamically reconfigures the power-aware services. The proposed adaptive middleware facilitates the learning mechanism which analyzes the illumination and the user activity, and controls the LED lights only when users exist around the devices. Our enabler reduces power consumption up to 58% in comparison to a basic lighting system at the real office testbed.

Design and implementation of intelligent energy distribution management with photovoltaic system

As increasing power consumption is becoming a huge problem, renewable energy has been highlighted recently. Many companies and research centers study this new sustainable energy, and various products have appeared to the public. However, this kind of researches concentrates on the elemental technologies, and now a management system is needed to manage these technologies to maximize energy efficiency. In this paper, we propose the system of Intelligent Energy Distribution Management (iEDM) to monitor fast-changing environmental variables and manage solar power flexibly. Compared with normal utility interactive systems, the iEDM improves the energy efficiency up to 5.6 percent.

IoT-based smart garbage system for efficient food waste management.

Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%.

Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

Energy saving has attracted great attention as a global issue because of recent environmental problems. As a part of energy saving efforts, governments are operating policies that encourage the distribution of energy saving systems. Also, individual households are voluntarily installing energy saving systems to reduce electric power consumption. However, due to fixed system architecture, the existing systems have a disadvantage, lacking in scalability and usability. In addition, the existing systems bring up immense inconvenience as it returns to standby mode after automatic standby power cut-off. Therefore, we propose an intelligent energy saving system to solve these problems. The proposed system controls the power based on the hierarchical relationship among home appliances, along with the relationship between user activity and home appliances for standby power reduction. We designed and implemented the proposed system, deployed it in the test bed, and measured the total power consumption to verify the system performance. The proposed system reduces total power consumption up to 10.5%.

The multi-touch system with high applicability using tri-axial coordinate infrared LEDs

In these days, multi-touch technology becomes an important interface in various environments. However, most of multi-touch systems have a characteristic of low applicability so that it is difficult to apply to diverse applications. In this paper, we compare the main three methods of multi-touch systems, and analyze the pros and cons of these systems. By considering applicability and economical efficiency, we propose an infrared LED based system suitable to be used in multi users. To solve coordinate recognition problems in collinear in a 2-dimensional bi-axial coordinate system, we design a 2-dimensional tri-axial coordinate multi-touch system using infrared LEDs. The comparing result between two systems shows that the recognition rate in the biaxial coordinate system is 49 percent and the recognition rate in the tri-axial coordinate system is 99 percent.

Cloud Computing-Based Building Energy Management System with ZigBee Sensor Network

As the Smart Grid is spreading, the importance of BEMS (Building Information Management System) is also increasing. For providing various and high quality services in the existing BEMS, each entity consisting of BEMS is improved. According to coverage area of a building, the number of the entity can be huge so it causes a burden of users. In this paper, we propose the Cloud computing-based BEMS. This system lessens a burden of each entity such as compute and storage resources, and the burden is taken by a centralized server, called System Manager in this paper. Therefore, every entitys performance is minimized, and quality of services maintains.

Implementation of an Adaptive Intelligent Home Energy Management System Using a Wireless Ad-Hoc and Sensor Network in Pervasive Environments

Wireless ad hoc and sensor networks have been becoming increasingly essential in recent years because of their ability to monitor and manage real-time situational information for various novel services. Therefore, we propose an adaptive intelligent home energy management system (AiHEMS) using a wireless ad-hoc and sensor network, which consists of a monitoring sensor and a management gateway. The AiHEMS adopts an information convergence mechanism, so that when the system generates patterns it interconnects with the AiHEMS in other domains and then utilizes information from other domains for pattern generation. We also propose adaptive light-weight middleware architecture which is modified based on a systems role, a situation, and a policy, which leads to reduction in sensors system resource. To verify the efficiency of our system, we built a test bed using two offices and conducted experiments based on light and air-conditioner control for saving power. The results show that the power saving using dynamic patterns without information convergence and with information convergence are approximately 18% and 26% respectively compared to fixed value based control.