화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2021년 봄 (04/21 ~ 04/23, 부산 BEXCO)
권호 27권 1호, p.309
발표분야 공정시스템
제목 Analysis of design variables and performance parameters of hydrogen liquefaction process using machine learning
초록 Hydrogen is the most abundant element in the universe and at the same time has a very high specific energy, proving its value as a new fuel for recent years. However, energy efficiency improvement is necessary in transportation and storage, and various methods are being developed to solve this. Hydrogen liquefaction was judged to be the most appropriate in terms of energy consumption from storage to use, and research for maximizing the energy efficiency of the hydrogen liquefaction process is actively underway. This is closely related to the optimization of the process, and the parameters in the process are represented by the relationship between a number of independent and dependent variables.This research was supported by the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A6A1031189). This work was also supported by “Human Resources Program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20204010600100).
저자 민성웅, Muhammad Abdul Qyyum, 이문용
소속 영남대
키워드 공정모사 및 설계
E-Mail
원문파일 초록 보기