화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2017년 가을 (10/25 ~ 10/27, 대전컨벤션센터)
권호 23권 2호, p.1920
발표분야 에너지 환경
제목 Computational Prediction of Record Breaking V-MOF-74 Material for Methane Storage
초록 Methane delivery capacity in MOF-74 series was investigated for adsorbed natural gas vehicles applications. Specially, density functional theory was used to derive force field parameters for the grand canonical Monte Carlo simulations to predict the methane adsorption properties. Our results show that generally used DFT exchange correlation functionals (e.g. PBE+D2, vdW-DF2) overestimated binding energy of methane to the MOF-74 series, occurring inaccurate description of the adsorption capacities. The global scaling factor of PBE+D2 exchange correlation functional was optimized to find an apt functional that lead to good agreement with experimental adsorption data for methane. Our computational results using the newly derived force field parameters predict a methane uptake of 279 cm3/cm3 in V-MOF-74 at T= 298K and P= 65 bar, which would be higher than the current record holder (HKUST-1, 270 cm3/cm3). Although the working capacity is low due to the strong binding energy of methane with V-MOF-74, modifying the process conditions (e.g. lower desorption pressure, higher desorption temperature) can improve the methane working capacity, near to the DOE requirement for the ANG technology.
저자 현석원1, 김지한1, 김영철2
소속 1KAIST, 2현대 NGV
키워드 친환경; 고효율
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