• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.285-288
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• 2009

정부는 최근 그린홈 100만호 사업을 중심으로 각종 신재생에너지 보급률 향상을 도모하는 많은 프로그램을 기획하여 현재 약 12개의 신재생 에너지 보급지원 프로그램과 R&D 프로그램을 운영하고 있다. 그러나 현재 국내 신재생에너지 정책 및 프로그램은 차후 개선 및 체계적인 운영을 위한 조직적인 프로그램 평가 체계를 갖추고 있지 않으며 평가 기관이나 평가 주기 등 평가에 필요한 기본적인 합의와 법제적 배경 역시 미비한 상황으로 신재생에너지 프로그램의 평가 제반 시스템에 대한 근본적 고민이 필요한 시점이라고 볼 수 있다. 이에 본 연구에서는 미국 DOE(Department of Energy)산하 EERE(Energy Efficiency & Renewable Energy)의 신재생에너지 보급사업평가체계를 분석하여 EERE 프로그램 평가 방법의 국내 적용 가능성을 검토해 보았다. EERE는 미국의 에너지 효율화 및 신재생에너지 전담 사무국으로 10개의 에너지효율화 및 신재생에너지 연방정부 프로그램을 운영하고 있으며 Strategic Management system을 통해 효율적인 프로그램 관리를 시도하고 있다. 특히 General program evaluation Guideline에서는 표준화된 세부 평가 방법론을 제시하여 정례적 혹은 일회적 평가를 시행하고 있는데 이 세부 평가 방법들은 프로그램의 특성에 따라 프로그램을 운영하고 프로그램의 존속 및 개선여부를 결정하는데 결정적인 도움을 주고 있어 차후 국내에서 시행되고 있는 신재생에너지 프로그램의 정성적/정량적인 평가를 시행하는 많은 시사점을 제공할 것으로 기대된다.

• 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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.113-114
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• 2015

Throughout the world, energy sector is increasing in importance. Reflecting this situation, the government has introduced an energy efficiency rating system for buildings. In particular, the government is planning to introduce the energy evaluator examination system. In this study will want to analyze the relevant sectoral perception for the energy evaluator through expert interviews and surveys. The research results are expected to contribute to the rational management of the energy evaluator system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.881-889
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• 2022

As interest in environmental pollution caused by ship emissions is increasing worldwide, many studies are being conducted on the development of systems that increase energy efficiency to reduce ship emissions. In order to test the energy management system controller driven in real time on a large ship, it is necessary to perform the test through the simulator. In this study, addresses were set for each signal according to Modbus TCP/IP so that each control system and energy management system could be linked, and the algorithm was configured according to the signal flow. In addition, the signal generator was designed and manufactured so that each controller could artificially generate the signal collected from the vessel. As a result of the simulator production and interlocking, it was confirmed that each controller operated in real time performed its role appropriately, and that the algorithm of the ship energy management system was properly applied.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1364-1371
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• 2011

Advanced EMU completed a production of test train, composed of 6 cars, after 5 years of development process, and it is currently under the process of integrated test and evaluation to inspect performance of car system, efficiency of transport, safety, punctuality, energy efficiency in accordance with urban railways act at Daebul test line. Advanced EMU was produced under consideration of transportation capacity, maintainability, reliability, energy saving, convenience of passengers, and traffic-vulnerables, so it has an epochal difference from former EMU system. And advanced EMU assures operation management from manager's perspective and efficiency of maintenance for practicalization of car and individual equipment. This paper introduces each major equipment of advanced EMU which is based on many years of experience of management and maintenance.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.4
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• pp.183-219
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• 1997

In this research, the intensity of solar energy, which was injected to the different angle plane every hour day by day, was technically documented and quantitatively analyzed through actual observations. In order to group every days into days with similar intensity, graph was drawn with respect to time for every dary and each area value under the curve was calculated. Then, the search for grouped days having similar intensity curve patterns was carried out. In order to maximize the efficiency of solar energy systems, the optimum incident angle of absorber plate was derived.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.2B
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• pp.80-90
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• 2006

WSN(Wireless Sensor Network) performs to detect and collect environmental information for one purpose. As examples, WSN is applicable for home network, patient management of a hospital, logistics management, status detection during the war and so on. The WSN is composed of a sink node and several sensor nodes and has a constraint in an aspect of energy consumption caused by limited battery resource. So many required mechanisms in WSN should consider the remained energy condition. A routing mechanism is requested to deliver the collected information to a sink considering energy efficiency in WSN. There have been many researches to establish (a) route(s) for data delivery to the sink. In this paper, we propose establishment of efficient routes. We proposed a uniform routing mechanism together with considering energy efficiency. For the routing, we define energy probability as routing metrics information and Performs suppression of exchange of control messages. In addition, we derive to uniformly consume the energy of the sensor node when establishing the routes. Also, we evaluate and analyze the energy efficiency for proposed mechanisms through NS-2 simulator.

• Journal of Satellite, Information and Communications
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• v.9 no.2
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• pp.69-73
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• 2014

Recent interest in the worldwide energy to increase, and energy savings of the energy for effective operation of the IT technology there is a demand. By using a low-power LED energy efficient energy use worldwide for a variety of studies have been conducted. In Korea, 20-30% of the domestic electricity consumption corresponding to the illumination in order to conserve energy used by various sensors associated with illumination control studies are underway. That is the next generation of energy began to pay attention to the LED light source, LED and Arduino In this paper, an ultrasonic sensor to control and want to maximize the energy efficiency of the management. Paper, the user is directly operating the separate controller that controls the LED light, instead of being recognized through human body detection LED light on / off to control the experiment and study verified. In this paper, we develop an interface that also allows them to maximize the efficiency of energy management and efficiency, accompanied by expansion of commercialization can be achieved.

• Journal of Korea Society of Waste Management
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• v.35 no.8
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• pp.762-769
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• 2018

This study was carried out to examine the improvement plan by analyzing the characteristics of imported wastes, operation rate, and benefits of energy recovery for incineration facilities with a treatment capacity greater than 50 ton/day. The incineration facility capacity increased by 3,280 tons over 15 years, and the actual incineration rate increased to 2,783 ton/day. The operation rate dropped to 76% in 2010 and then rose again to 81% in 2016. The actual calorific value compared to the design calorific value increased by 33.8% from 94.6% in 2002 to 128.4% in 2016. The recovery efficiency decreased by 29% over 16 years from 110.7% to 81.7% in 2002. Recovery and sales of thermal energy from the incinerator (capacity 200 ton/day) dominated the operation cost, and operating income was generated by energy sales (such as power generation and steam). The treatment capacity increased by 11% to 18% after the recalculation of the incineration capacity and has remained consistently above 90% in most facilities to date. In order to solve the problem of high calorific value waste, wastewater, leachate, and clean water should be mixed and incinerated, and heat recovery should be performed through a water-cooled grate and water cooling wall installation. Twenty-five of the 38 incineration facilities (about 70%) are due for a major repair. After the main repair of the facility, the operation rate is expected to increase and the operating cost is expected to decline due to energy recovery. Inspection and repair should be carried out in a timely manner to increase incineration and heat energy recovery efficiencies.

• Smart Media Journal
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• v.13 no.1
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• pp.18-23
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• 2024

Power efficiency management in smart farms is important due to its link to climate change. As climate change negatively impacts agriculture, future agriculture is expected to utilize smart farms to minimize climate impacts, but smart farms' power consumption may exacerbate the climate crisis due to the current electricity production system. Therefore, it is essential to efficiently manage and optimize the power usage of smart farms. In this study, we propose a system that monitors the power usage of smart farm equipment in real time and predicts the power usage one hour later using GRU. CT sensors are installed to collect power usage data, which are analyzed to detect and prevent abnormal patterns, and combined with IoT technology to efficiently manage and monitor the overall power usage. This helps to optimize power usage, improve energy efficiency, and reduce carbon emissions. The system is expected to improve not only the energy management of smart farms, but also the overall efficiency of energy use.