Adsorption-based Atmospheric Water Extraction Process: Kinetic Analysis and Stochastic Optimization DOI
Jinsu Kim, Shubham Jamdade,

Yanhui Yuan

и другие.

Systems and Control Transactions, Год журнала: 2024, Номер 3, С. 173 - 178

Опубликована: Июль 9, 2024

Adsorption-based Atmospheric Water Extraction (AWE) is an energy-efficient distributed freshwater supply method. This research focuses on AWE's kinetic analysis and stochastic optimization, investigating the impact of ambient conditions, kinetics, weather variability. A one-dimensional fixed-bed system was numerically analyzed using validated isotherm MIL-100 (Fe), assuming different parameters within linear driving force model. Stochastic based annual data from Georgia (GA), illustrates influence conditions AWE process performance, operation, cost. Our study offers valuable insights for future research, including site selection, adsorbent material development, design. We outline three critical areas further exploration: experimental verification, screening, meteorological selection.

Язык: Английский

Design and Analysis of a Novel Three-Bed Series VTSA Process for Enhancing Adsorbent Utilization under Low-concentration CO2 Exhaust Gas Conditions DOI
Long-Xiang Chen,

S. Deng,

X. M. Jing

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135388 - 135388

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Metal-Organic Frameworks for Atmospheric Water Extraction: Kinetic Analysis and Stochastic Programming under Climate Variability DOI
Jinsu Kim, Shubham Jamdade,

Yanhui Yuan

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 482, С. 144187 - 144187

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

1
Adsorption-based Atmospheric Water Extraction Process: Kinetic Analysis and Stochastic Optimization DOI
Jinsu Kim, Shubham Jamdade,

Yanhui Yuan

и другие.

Systems and Control Transactions, Год журнала: 2024, Номер 3, С. 173 - 178

Опубликована: Июль 9, 2024

Adsorption-based Atmospheric Water Extraction (AWE) is an energy-efficient distributed freshwater supply method. This research focuses on AWE's kinetic analysis and stochastic optimization, investigating the impact of ambient conditions, kinetics, weather variability. A one-dimensional fixed-bed system was numerically analyzed using validated isotherm MIL-100 (Fe), assuming different parameters within linear driving force model. Stochastic based annual data from Georgia (GA), illustrates influence conditions AWE process performance, operation, cost. Our study offers valuable insights for future research, including site selection, adsorbent material development, design. We outline three critical areas further exploration: experimental verification, screening, meteorological selection.

Язык: Английский

Процитировано

0