• Construction Engineering and Management
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• v.19 no.1
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• pp.31-34
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• 2018

• Journal of Hydrogen and New Energy
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• v.30 no.2
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• pp.155-162
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• 2019

The energy management technology for an independent fuel cell-battery hybrid system is developed for a household usage. To develop an efficient energy management technology, a simulation model is first developed. After the model is verified with experimental results, three energy management schemes are developed. Three control techniques are a fuzzy logic control (FLC), a state machine control (SMC), and a hybrid method of FLC and SMC. As the fuel cell-battery hybrid system is used for a house, battery state of charge (SOC) regulation is the most important factor for an energy management because SOC should be kept constant every day for continuous usage. Three management schemes are compared to see SOC, power split, and fuel cell power variations effects. Experimental results are also presented and the most favorable strategy is the state machine combined fuzzy control method.

• JOURNAL OF ELECTRICAL WORLD
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• no.9 s.153
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• pp.57-69
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• 1989

• JOURNAL OF ELECTRICAL WORLD
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• no.9 s.141
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• pp.39-47
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• 1988

• The Magazine for Energy Service Companies
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• s.33
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• pp.18-19
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• 2005

가장문제시되는 점의 하나는 사후관리에 대한 중요성을 인지하지 못하는 상황이 만연하게 된다는 점이다. ESCO사업을 하고 있는 기업치고 사후관리의 중요성을 인식하고 있지 않은 기업이 어디에 있겠냐고 반문하겠지만, 대다수의 ESCO가 눈앞의 입찰 및 공사수주를 위하여 적정한 견적가를 제출하지 않고 낮은 가격에 경쟁적으로 공사를 수주하고 있는 것이 지금의 현실임을 어느 ESCO도 부인하지 않으리라 여겨진다.

• Journal of Energy Engineering
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• v.8
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• pp.74-85
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• 1999

우리 나라는 1970년대에 두 차례에 걸친 석유 파동을 겪으면서 에너지 정책의 중점 방향을 에너지 수요 관리와 안정적 에너지 공급 기반 조성 등으로 삼았다. 특히 에너지의 안정적 공급을 위하여 에너지원의 다원화, 수입선 다변화, 그리고 해외자원 개발 등이 추진되었다. 이러한 에너지 정책의 일환으로 천연가스의 도입이 적극 추진되어, 1983년 8월 한국가스공사가 설립되었으며, 1986년 10월 국내 최초로 액화천연가스(LNG)가 수입되고 다음달부터 공급되기 시작하였다. (중략)

• Construction Engineering and Management
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• v.25 no.4
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• pp.51-54
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• 2024

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.322-323
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• 2022

The most necessary thing for the optimal operation of a water purification plant is to accurately predict the pattern and amount of tap water used by consumers. The required amount of tap water should be delivered to the drain using a pump and stored, and the required flow rate should be supplied in a timely manner using the minimum amount of electrical energy. The short-term demand forecasting required from the point of view of energy optimization operation among water purification plant volume predictions has been made in consideration of seasons, major periods, and regional characteristics using time series analysis, regression analysis, and neural network algorithms. In this paper, we analyzed energy management methods through AI-based complex sensor applicability analysis such as LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Units), which are types of cyclic neural networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.43-46
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• 2022

The optimal operation of the water purification plant can be carried out only when the required flow rate is supplied in a timely manner using the minimum electrical energy by accurately predicting the pattern and amount of tap water used in the consumer. In order to ensure the stability of tap water production and supply, a system that can be pre-verified before applying AI-based composite sensors to the water purification plant was established to derive complementary matters through the pre-verification model for each composite sensor and improve the quality and operation stability of the composite sensor data.

• Electric Engineers Magazine
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• v.244 no.12
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• pp.21-28
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• 2002

건축분야에서 자원, 에너지 절약을 고려할 때 건설공사, 건물해체, 철거에 따른 에너지소비문제도 중요하지만, 계획단계와 건물의 유지, 운용 단계에서도 에너지절약 대책 또한 매우 중요하다. 건물의 방의 배치, 레이아웃, 디자인이라는 감각적인 성능 평가 뿐만 아니라 에너지, 자원절약의 관점에서도 평가도 중요하며 그 때문에 매력있는 에너지절약 시책과 실적 데이터의 정비가 필요하다.