• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.29-34
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• 2015

As smart grid techniques developed, public attention is concentrating on energy efficiency. So it is necessary to study on new renewable energy in order to manage the energy within micro grid consisting smart grid. Among them, small hydro energy has the advantage of being installable anywhere depending the amount of water used by the users within micro grid. This study examines if the measured value is appropriate for small hydro power generation by measuring generation quantity and operation rate of generator based on the sewage flow used by apartments and multi-unit dwellings where those users live. Some appropriate apartments and multi-unit dwellings generate electricity with small hydro generator using sewage as potential energy. This study intends to suggest more effective management by introducing energy management system and electricity storage device of micro grid.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.85-91
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• 2014

Nowadays, Dynamic lighting control and management skills are studied and used. If the system which is to manage multiple intelligent spot applied ubiquitous service technology is built with decision making and used in the complex intelligent space like a apartment then will improve energy efficiency and provide comfortability in optimal conditions. To solve this problem distributed autonomous control middleware and energy management system which process data gathering by zigbee mesh network and search proper services to save energy by the existing state of things is necessary. In paper we designed DDLEMS (Distributed Dynamic Lighting Energy Management System) that is to service duplex communication embedded by software based home server platform to provide mobile services in the smart place and support decision making about energy saving to the best use of wireless censor node and controled network, energy display devices.

• Smart Media Journal
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• v.12 no.10
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• pp.63-70
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• 2023

Recently, energy consumption for heating costs, which is 35% of smart farm energy costs, has increased, requiring energy consumption efficiency, and the importance of new and renewable energy is increasing due to concerns about the realization of electricity bills. Renewable energy belongs to hydropower, wind, and solar power, of which solar energy is a power generation technology that converts it into electrical energy, and this technology has less impact on the environment and is simple to maintain. In this study, based on the greenhouse heat storage tank and heat pump data, the factors that affect the heat storage tank are selected and a heat storage tank supply temperature prediction model is developed. It is predicted using Long Short-Term Memory (LSTM), which is effective for time series data analysis and prediction, and XGBoost model, which is superior to other ensemble learning techniques. By predicting the temperature of the heat pump heat storage tank, energy consumption may be optimized and system operation may be optimized. In addition, we intend to link it to the smart farm energy integrated operation system, such as reducing heating and cooling costs and improving the energy independence of farmers due to the use of solar power. By managing the supply of waste heat energy through the platform and deriving the maximum heating load and energy values required for crop growth by season and time, an optimal energy management plan is derived based on this.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.140-140
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• 2010

최근 정부가 저탄소 녹색성장을 새로운 국정비전으로 제시하고 혁신적 그린에너지 기술개발을 위해 연평균 20%이상의 R&D 예산을 증액하고 있는 상황에서 연구개발결과의 상용화율 제고를 위한 연구기획, 평가, 관리시스템의 개선이 시급한 실정이다. 특히 선진국의 경우 최근 3년간 에너지분야 R&D의 상용화율이 미국 35.9%, 유럽 46.8%로서 24.2%인 한국에 비해 매우 높다고 할 수 있다. 이와같은 격차가 존재하는 것에 대해서 다양한 요인을 생각해볼 수 있겠지만, 크게 시장적인 또는 산업적인 측면에서의 중요도를 기준으로 연구과제를 선정하지 못하고 있다는 점과 연구개발결과를 효율적으로 사업화하고 있지 못하고 있다는 점을 생각해볼 수 있다. 특히 에너지 분야는 대규모 자금의 초기소요 및 개발기술 상용화기간의 장기화등으로 인해 사업화 실적이 타산업대비 매우 저조한 편이다. 이와같은 연구결과의 사업화와 관련된 문제점을 극복하기 위한 노력으로 국내에서 다양한 형태의 기술사업화 지원프로그램이 운영괴고 있으나, 에너지 분야에 특화된 프로그램은 부족한 상황이다. 반면에 미국의 경우, 재생에너지 R&D분야 전문투자자 그룹인 클린테크그룹 등을 중심으로 2002년부터 현재까지 다수의 녹색기술분야에 특화된 기술사업화 지원 프로그램을 운영하고 있다. 그 결과 현재까지 약 9년간 총 16억$의 투자유치에 성공함으로써 민간투자 활성화 역할을 담당하고 있다. 따라서 국내의 경우에도 이와같은 에너지 R&D 결과를 효과적으로 사업화로 연계시킬 수 있는 관련 프로그램 등이 시급히 도입되어야 할 것이다. 본 논문에서는 국내의 사업화 부진문제를 해결하기 위한 하나의 방안으로서 올해부터 정부주관으로 시행되고 있는 녹색인증사업을 활용하여 사업화가 유망한 기술 및 기업을 선별하고, 이에 대해 사업화 지원을 위한 후속프로그램을 적극 지원함으로써 연구개발결과의 경제적 활용도를 획기적으로 개선하는 방안을 제시하고자 한다. 또한 사업화 지원프로그램의 효율성을 높이기 위해 수도권, 영남권, 호남권 등 지역별 TP 등을 중심으로 기술사업화 협력 네트워크를 구축하고, 이를 기반으로 한 수요기술조사, 기술마케팅, 투자자유치 등의 관련프로그램을 개발하여 전단의 시스템과 융합시킴으로써 향후의 정부주도 R&D결과의 상용화율을 제고할 수 있는 시스템을 제안하고자 한다. 이에는 에너지 R&D분야별 기술적 시장적 특징분석, 지역별 산업특성과 기술공급 서플라이 체인분석을 토대로 한 기술이전 잠재수요기업 투자자를 대상으로 한 맞춤형 기술사업화 프로그램 등이 포함된다. 마지막으로 제안된 시스템에 대한 타당성 검증을 위해 올해년도에 시행한 녹색인증 기술사업화 연계프로그램 및 기술사업화 협력네트워크 활용사례 등을 분석하고, 향후 발전방향으로서 기술사업화 유관기관간간 기술사업화 정보교환 및 사업화 유망기술 기업 마케팅 등을 기본내용으로 한 시장지향적 녹색에너지 R&D 관리 시스템 구축방안을 제시하고자 한다.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.87-95
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• 2018

Due to global warming and increased energy costs around the world, interests of energy saving and efficiency have been increased. In particular, forging factories need methods to save energy and increase productivity because of needing amounts of energy uses. To solve the problem, we propose a system, which includes collection, monitoring, and analysis process, to monitor energy uses each facility in realtime based on the IoT devices. This system insists of worksheets management, facility/energy management, realtime monitoring, history search, data analysis through connecting with existed ERP/MES Systems in manufacturing factories. The energy monitoring process is to present used energy collected from IoT devices connected with installed gasmeter and wattmeter each facility. This system provide the change of energy uses, usage fee, energy conversion, and green gas information in realtime on Web and mobile devices. This system will be enhanced with energy saving technology by analyzing constructed big data of energy uses. We can also propose a method to increase productivity by integrating this system with functions of digitalized worksheets and optimized models for production process.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.7
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• pp.56-64
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• 2012

A smart grid is the next generation power grid which combines the existing power grid with information technology, so an energy efficient power grid can be provided. In this paper, in order to build an efficient smart grid an AMI system, which gears with the existing home network and provides an user friendly management function, is proposed. The proposed AMI system, which is based on an extended home network, consists of various functional units; smart meters, communication modules, home gateway, security modules, meter data management modules (MDMM), electric power application modules and so on. The proposed home network system, which can reduce electric power consumption and transmit data more effectively, is designed by using IEEE 802.15.4. The extended home gateway can exchange energy consumption information with the outside management system via web services. The proposed AMI system is designed to enable two-way communication between the home gateway and MDMM via the Internet. The AES(Advanced Encryption Standard) algorithm, which is a symmetric block cipher algorithm, is used to ensure secure information exchange. Even though the results in this study could be limited to our experimental environment, the result of the simulation test shows that the proposed system reduces electric power consumption by 4~42% on average compared to the case of using no control.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.412-415
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• 2010

첨단 주택에서 가전기기의 에너지 소모량을 모니터링하기 위하여 센서 네트워크를 이용한 스마트 플러그를 제안한다. 제안한 시스템은 전기 콘센트 형태로, 매 초마다 홀센서를 지나가는 전류량을 측정하여 센서 네트워크를 통해 홈 게이트웨이에 전송한다. 홈 게이트웨이는 전송된 데이터를 전력량으로 변환하여 저장하고, 모니터링 프로그램을 통해 전력량을 표시한다. 실험 결과 제안한 시스템은 에너지 소모와 사용을 관리함에 있어서 우수한 성능을 확인하였다.

• The Journal of Bigdata
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• v.6 no.1
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• pp.127-132
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• 2021

Korea is both a resource-poor country and a energy-consuming country. In addition, the use and dependence on electricity is very high, and more than 20% of total energy use is consumed in buildings. As research on deep learning and machine learning is active, research is underway to apply various algorithms to energy efficiency fields, and the introduction of building energy management systems (BEMS) for efficient energy management is increasing. In this paper, we constructed a database based on energy usage by device per household directly collected using smart plugs. We also implement algorithms that effectively analyze and predict the data collected using RNN and LSTM models. In the future, this data can be applied to analysis of power consumption patterns beyond prediction of energy consumption. This can help improve energy efficiency and is expected to help manage effective power usage through prediction of future data.

• Journal of KIISE
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• v.42 no.5
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• pp.566-572
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• 2015

We proposed a novel energy optimization technique for smartphone GPUs, more aggressively lowering the GPU frequency while obtaining higher energy efficiency with a negligible negative impact on the GPU performance. In order to achieve the Quality of Service (QoS) specified by the smartphone application, the proposed optimization technique employed the minimal acceptable GPU frequency based on average Frames per Second (FPS) for each GPU frequency level. Our experimental results on a smartphone development board showed that the proposed technique can reduce the GPU energy consumption by up to 23% over the default DVFS algorithm with only a 0.45 frame drop.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.11
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• pp.1433-1439
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• 2012

This paper introduces a sensor system based on indoor locations in order to implement the Building Energy Management System. This system consists of a thermopile sensor and an ultrasonic sensor. The sensor module is rotated by $360^{\circ}$ and yawed up-and-down by two electric motors. Therefore, it can simultaneously detect the number and location of the inhabitants in the room. It uses wireless technology to communicate with the building manager or the smart-home server, and it can save electric energy by controlling the lighting system or heating/air conditioning equipment automatically. We also demonstrate the usefulness of the proposed system by applying it to a real environment.