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차인수(Cha In Su),김태형(Kim Taehyung),박경석(Park Kyung Seok) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
This paper represents about The Direction Short-Mid Term Road Map of Wind Power Industry of the West-South Seashore with Leading Industry Development for Honam Economic Region. These projects have 8 R&D and 3 non R&D project. The period of these projects are from October 2009 to April 2012. The projects of R&D are composed three bright prospect products-1.The base construction of ㎿ offshore wind power components and system with Outer -rotor type PMSG, 2.The Development of 3㎿ wind power system with accommodation of the west-south seashore,3.The development of hybrid wind power system with wind base construction. The projects of non-R&D are composed three parts with above three bright prospect products.
강병복(Kang Byeong Bog),임중열(Lim Jung Yeol),차인수(Cha In Su),조경재(Cho Kyeong Jai),윤석암(Yoon Suk Am),이정일(Lee Jung Il),서장수(Seo Jang Soo) 전력전자학회 2002 전력전자학술대회 논문집 Vol.- No.-
In electrical machinery and apparatus, the most important problem is protect of machinery and apparatus in duo to transient phenomena and overload on operation. Particularly by advanced technology of late, there is demand for low cost of equipments and high percentage of use of equipments. Therefore, protection of machinery and apparatus in condition of overload IS more valued considering that all efficiency increase is passed by operating all machinery and apparatus in condition of heavyload.<br/> In this paper, the suggested system IS add overload protect system using CT in condition of overload
수산물 보관 창고용 냉동 압축기의 전력부하 예측 AI알고리즘 개발
유일준(Yoo IL-Jun),차인수(Cha In-Su),강유식(Kang Yoo-Sik) 한국태양에너지학회 2021 한국태양에너지학회 논문집 Vol.41 No.3
In this study, we use the monitoring information of the 214.5RT ammonia screw refrigeration system to show that it is possible to analyze operation patterns based power load usage, predict power usage, and save energy. We further propose an algorithm to this end. Accidents occur frequently, such as the leaking of ammonia in a recently dilapidated freezer warehouse, and management is an important point of focus because most of the power load in freezer warehouses is drawn by refrigerators. It is important to save energy and predict accidents by using the temperature information of the Meteorological Agency and taking into consideration the pressure and temperature of the refrigerator. In particular, the pressure of the refrigerator changes rapidly according to seasonal changes, and this information could be used to reduce accidents. In addition, as interest in energy saving is increasing worldwide and the reduction of carbon dioxide emissions comes into focus, research on energy saving is being conducted in various fields. In this paper, a prediction algorithm is implemented by analyzing data from the past two years among the monitoring information of a large-scale animal center refrigeration system in Incheon area using deep learning, a type of AI algorithm that has recently attracted attention, as a prediction technique. Among the deep-learning models, an algorithm is designed using RNN (Recurrent Neural Network) and LSTM (Long Short-Term Memory). The RNN and LSTM models have strengths in continuous data pattern analysis. Through this model, data are predicted and performance evaluations are conducted by comparing the power load of refrigerators that have been actually consumed recently, considering the current limiting situation and the direction to move forward.
차인수(In Su Cha),김동묵(Dong Mook Kim) 전력전자학회 2011 전력전자학술대회 논문집 Vol.2011 No.7
This paper has represented about the activated scheme the Honam regional wind power industry favorable products. The favorable products are the ㎿ offshore wind system with Outer-rotor type PMSG-6 products, the 3㎿ offshore wind system with adatation type of west-south sea, and the hybrid generator system with wind turbine technology basis-2 products.
태양전지를 이용한 생태주택등의 정원 보안등 신뢰성 확보 실증연구
차인수(In-Su Cha),우현형(Hyun-Hyung Woo),황운연(Woon-Yeon Whang),강경원(Gyoung-Won Kang),유창우(Chang-Woo Yu) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
태양광을 이용한 발전은 이미 오래 전부터 국내ㆍ외적으로 기존의 화석연료를 사용하는 발전방식을 대체하는 기술의 일환으로 태양광으로 직접 전기에너지를 생산하여 환경 친화적으로 청정한 전기에너지를 얻을 수 있어 미래의 주요 대체에너지원으로 각광받고 있다. 태양광을 이용하여 전력을 생산하기 위해서는 주요 구성요소중의 하나인 태양 전지판이 여러 형태로 활용되고 있으며 또한 생산되는 전력은 인간생활에 다양하게 이용되고 있다. 특히 태양광 발전에 따른 이용은 대표적으로 계통 연계형이 아닌 독립형으로 기존의 전력선을 배제하고 사용할 수 있는 큰 장점을 가지고 있어 대용량의 전력 공급뿐만이 아니라 소규모의 생활용품에 까지 실생활에 밀접하게 활용할 수 있는 특성을 가지고 있다. 태양전지를 이용한 생태주택 등의 정원 보안등의 보급을 실생활에 확산시키기에는 예상할 수 없는 문제점이 도출될 수 있지만, 장치의 저가화와 아울러 신뢰성 확보에 대한 기술개발도 꾸준히 선행되어야 하며, 이에 앞서 신뢰성을 입증할 수 있는 실증연구가 절대적으로 필요하다.
차인수(In Su Cha),김태형(Taehyung Kim),이기봉(Ki Bong Lee) 전력전자학회 2010 전력전자학술대회 논문집 Vol.2010 No.7
This paper represents about the characteristics of wind turbine industry of the west-south seashore of Leading Industry Development for Honam Economic Region. These projects have 8 R&D and 3 non R&D project. The period of these projects is from October 2009 to April 2012. The R&D projects are composed three bright prospect products (1) the base construction of ㎿ off-shore wind turbine components and system with Outer-rotor type PMSG, (2) the Development of 3㎿ wind power system with accommodation of the west-south seashore, and (3) the development of hybrid wind turbine system with wind base construction. Also, the non-R&D projects are composed three parts with above three bright prospect products. Above two projects support the companies with characteristic of low speed wind turbine system. Other project supports the companies related to wind turbine with small and medium capacity of form 3 ㎾ to 10㎾.
차인수(Cha In Su),김태형(Kim Taehyung),박경석(Park Kyung Seok) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
This paper represents about the strategy connection of wind power industry of the west-south seashore with leading industry development for honam economic with honam area projects. The connection of above projects are need to the high effectiveness with the promote policy of area industry.