• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.10
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• pp.161-167
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• 2015

This paper presented an occupancy-based energy saving system for appliance energy saving in smart house. The developed system is composed of a sensing system and a home gateway system. The sensing system is set of wireless sensor nodes which have pyroelectric infrared (PIR) sensor to detect a motion of human and set of smart plugs which measure the current using CT (current transformer) sensor and send the current to home gateway wirelessly. We measured current consumption of appliances in real time using smart plugs, and checked the occupation of residents using occupancy sensors installed on the door and room. The proposed system saves electric energy to switch off the supply power of unnecessary usages in the unoccupied spaces. Experiments conducted have shown that electric energy usage of appliances can be saved about 34% checked by using occupation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.137-146
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• 2011

In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.53-60
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• 2018

In order to manage energy efficiency by analyzing the amount of energy, it would determine the nature of the factors involved in the energy utilization. Therefore, accurate measurement of the energy consumption data is an important factor in the energy management. In this study, we are aware of the importance of the data measurement, and proposes the accuracy assessment of electric energy monitoring system. According to conventional statistical methods it is proceeded as follows; i)the measurement error value would be determined by a random variable, ii) setting the confidence interval to consider the distribution of the statistic and determines the confidence level of the measurement accuracy. And using the t-distribution CDF is used to facilitate even small sample data.

• Journal of Energy Engineering
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• v.27 no.2
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• pp.32-48
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• 2018

Monitoring of energy use should be a priority in order to efficiently manage building energy use. Energy use in buildings can be managed by dividing them into energy sources, uses, and ZONE. By energy source, electricity, gas, fuel, and district heating are supplied to run the building's facilities. The purpose can be divided into five main applications, including cooling, heating, lighting, hot water and ventilation, but not many elevators and electric heaters that are difficult to include in the five applications are classified. ZONE Star refers to the comparison or separate management of areas for which the purpose of the building is similar or different. In addition, energy efficiency management requires control of the temperature, humidity, and people who will be measuring energy in the building, and the recent problem of fine dust should directly affect the ventilation of the building.

• Journal of the Korean Institute of Gas
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• v.20 no.1
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• pp.1-6
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• 2016

In order to reduce the anthropogenic emission of greenhouse gases, CCS technology has emerged as the most promising and practical solution. Among CCS technology, post-combustion $CO_2$ capture is known as the most mature and effective process to remove $CO_2$ from power plant, but its energy consumption for chemical solvent regeneration still remains as an obstacle for commercialization. In this study, a process alternative integrating $CO_2$ capture with compression process is proposed which not only reduces the amount of thermal energy required for solvent regeneration but also produces $CO_2$ at an elevated pressure.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.299-300
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• 2010

21세기 에너지산업의 기본 틀은 저 이산화탄소 녹색성장이 자리 잡고 있으며, 세계 각국은 온실가스를 줄이기 위해 신재생 에너지 개발을 강화하고 있다. 우리나라의 현실은 에너지 사용량의 98%를 수입에 의지하고 있어 신재생 에너지 개발이 절대적이라고 할 수 있으며, 에너지 자원이 거의 없는 우리나라에서 태양광을 직접 전기로 변환할 수 있는 태양광 인버터 기술은 매우 중요하다고 판단한다. 본 논문에서는 국내 최초로 CE와 ETL 인증을 획득한 계통연계형 고 효율 태양광 인버터 XP 시리즈에 대하여 기술한다.

• Solar Energy
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• v.18 no.3
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• pp.41-50
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• 1998

The purpose of this study is to analyze the energy consumption status for various building types in Taejon. 35 sample buildings were classified into 8 building types, i.e., sports center & swimming pools, hotels, telecommunication exchange service facility, hospitals, research laboratories, department stores, exhibition galleries, universities. According to analyses, energy consumption patterns varies significantly for each building type. Sports centers consumes highest rate(689 $Mcal/sqm{\cdot}yr$) and universities lowest rate(86 $Mcal/sqm{\cdot}yr$) among selected building types.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.111-115
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• 2011

The purpose of this study was the analysis of electric energy consumption with the case study of tower type apartment's opening of building surface. We analyze the relationship between tower type apartment's opening of building surface and using electric energy consumption. The results of this study are: 1) The highest energy consumption of electric energy was on August without any influence of opening types of building surface. 2) Also, the south-west sides consumption of August was 848 kWh on Type B(one side opening) and it was the highest usage. 3) A house if facing west used more electricity than facing east when its opening of building surface's datum level is facing south. However, the house of facing east used more power than west when its opening of building surface's datum level is facing north. 4) When opening of building surface is facing on north-west or north-east, the opening of building surface's side of west and east used more electric power than north-west or north-east sides.

• JOURNAL OF ELECTRICAL WORLD
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• s.295
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• pp.68-73
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• 2001

최근 들어서는 지구환경보호와 에너지자원 고갈의 위기감 속에 에너지절약기기의 니즈가 급속하게 가속화되고 있다. 산업분야에서의 에너지절약기기로서는 고효율모터나 인버터가 사용되고 있는데 아직 이들 기기의 보급률은 낮은 실정이다. 점차 에너지절약기기에 대한 관심이 높아 가는 가운데, 한편 산업용전력 사용량의 약 70$\%$를 모터가 차지하고 있다고 알려지고 있으며 모터 유닛의 손실 삭감으로 큰 에너지절약 효과를 기대할 수 있기 때문에 3상모터의 고효율화 요구와 인버터구동에 의한 에너지절약니즈가 급속히 퍼지고 있다. 3상모터의 에너지절약 니즈에는 위험지구(폭발성 분위기) 안에서 사용되는 용도도 많아 이와 같은 위험장소에서 사용되는 방폭전기기기에서는 1993년의 국제규격(IEC 규격)에 정합(整合)된 신JIS 방폭규격의 발행으로 정전의 일본독자적인 방폭규격은 폐지되고 이 새로운 JIS 방폭규격에의 통합 움직임이 있었다. 미쓰비시전기는 이와 같은 동향에 대응하기 위하여 고성능$\cdot$에너지절약 모터 ''수퍼라인 에코시리즈''로서 고효율 시리즈, 인버터구동 전용토크 시리즈, 신JIS방폭규격대응 안전증(安全增) 방폭형 시리즈를 제품화하였다. 수퍼라인 에코시리즈는 동사 독자의 강판프레임을 사용하여 철저한 저손실 설계의 채택으로 업계 톱클래스의 고효율$\cdot$에너지절약을 실현하였다. 인버터구동에 최적한 특성, 내환경성의 강화와 베어링의 장수명화에 의한 장기(長期) 메인터넌스프리화 및 저소음$\cdot$저진동화를 실현한 고성능모터이다.

• 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.