Liquid air energy storage coupled with liquefied natural gas cold energy: focus on efficiency, energy capacity, and flexibility J Park, S Cho, M Qi, W Noh, I Lee, I Moon Energy 216, 119308, 2021 | 69 | 2021 |
Developed hydrogen liquefaction process using liquefied natural gas cold energy: design, energy optimization, and techno‐economic feasibility S Cho, J Park, W Noh, I Lee, I Moon International Journal of Energy Research 45 (10), 14745-14760, 2021 | 27 | 2021 |
Exergoeconomic optimization of liquid air production by use of liquefied natural gas cold energy J Park, M Qi, J Kim, W Noh, I Lee, I Moon Energy 207, 118193, 2020 | 26 | 2020 |
Comparative design, thermodynamic and techno‐economic analysis of utilizing liquefied natural gas cold energy for hydrogen liquefaction processes W Noh, S Park, J Kim, I Lee International Journal of Energy Research 46 (9), 12926-12947, 2022 | 19 | 2022 |
Efficient heat exchange configuration for sub-cooling cycle of hydrogen liquefaction process S Park, W Noh, J Park, J Park, I Lee Energies 15 (13), 4560, 2022 | 8 | 2022 |
A novel process-level carbon contribution analysis (PCCA) method for carbon minimization of chemical processes: Exergy mapping to carbon emissions W Noh, J Seo, J Kim, I Lee Chemical Engineering Journal 471, 144502, 2023 | 5 | 2023 |
Hybrid systems design for blue and green hydrogen co-production: Integration of autothermal reforming with solid oxide electrolysis S Cho, W Noh, I Lee Energy Conversion and Management 300, 117969, 2024 | 3 | 2024 |
Design and Analysis of Hydrogen Production and Liquefaction Process by Using Liquefied Natural Gas W Noh, S Park, I Lee Korean Chemical Engineering Research 59 (2), 200-208, 2021 | 1 | 2021 |
Systems design and techno-economic analysis of a novel cryogenic carbon capture process integrated with an air separation unit for autothermal reforming blue hydrogen … W Noh, S Park, Y Kim, J Lee, J Kim, I Lee Journal of Cleaner Production, 142341, 2024 | | 2024 |
A Hybrid Framework of Knowledge-Based Digital Twin and Data-Driven Machine Learning Models for Optimizing Control Parameters of Chemical Processes W Noh, S Park, S Kim, I Lee Available at SSRN 4220989, 0 | | |