Session Track
November 01 (Wednesday)
유체공학부문 포스터
Poster,
3층 로비,
15:50~16:40
- 이상욱(울산대), 이덕규(기계연), 김성수(신라대), 허윤석(계명대)
We16E-18
15:50~16:40
클라우드 컴퓨팅을 활용한 SVC 냉각시스템의 열유동 특성에 대한 수치적 연구
Recently, the SVC(Static Var Compensator) of HVDC(high-voltage direct current), which is actively researched with the development of renewable energy, can quickly control the connection and disconnection of parallel capacitors and reactors, It is a set of electrical devices that provide fast-acting reactive power with controlling parallel capacitors and reactors for stabilizing the power system. The SVC system has a large-scale water cooling system for removing the heat generated by the power semiconductor. In general, thermal flow analysis and cooling performance tests of some water cooling plate modules are performed to design this SVC water cooling system. In this study, thermal flow analysis of the large-scale water cooling system using CAE platform of the public cloud computing was performed on the SVC water cooling system and the pressure drop, flow characteristics and temperature distribution of the SVC water cooling system were analyzed. The basic design data applicable to SVC water cooling system was obtained.
Keywords : SVC(무효전력보상장치), HVDC(고압직류송전), Cooling performance(냉각성능), Cloud Computing(클라우드 컴퓨팅), CAE Platform(CAE 플랫폼)
Paper : We16E-18.pdf
(사)대한기계학회, 서울시 강남구 테헤란로 7길 22 한국과학기술회관 신관 702호, Tel: (02)501-3646~3648, E-mail: ksme@ksme.or.kr