TY - GEN
T1 - Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
AU - Sibie, Shereen K.
AU - El-Amin, Mohamed F.
AU - Sun, Shuyu
N1 - KAUST Repository Item: Exported on 2021-08-10
PY - 2021/6/9
Y1 - 2021/6/9
N2 - The atmosphere contains 3400 trillion gallons of water vapor, which would be enough to cover the entire earth in 1 inch of water. Air humidity is available everywhere, and it acts as a great alternative as a renewable reservoir of water known as atmospheric water. Atmospheric water harvesting system efficiency depends on the sorption capacity of water based on the adsorption phenomenon. Using anhydrous salts is an efficient process for capturing and delivering water from ambient air, especially at a low relative humidity as low as 15%. A lot of water-scarce countries like Saudi Arabia have much annual solar radiation and relatively high humidity. This study is focusing on modeling and simulating the water absorption and release of the anhydrous salt copper chloride (CuCl2 ) under different relative humidity to produce atmospheric drinking water in scarce regions.
AB - The atmosphere contains 3400 trillion gallons of water vapor, which would be enough to cover the entire earth in 1 inch of water. Air humidity is available everywhere, and it acts as a great alternative as a renewable reservoir of water known as atmospheric water. Atmospheric water harvesting system efficiency depends on the sorption capacity of water based on the adsorption phenomenon. Using anhydrous salts is an efficient process for capturing and delivering water from ambient air, especially at a low relative humidity as low as 15%. A lot of water-scarce countries like Saudi Arabia have much annual solar radiation and relatively high humidity. This study is focusing on modeling and simulating the water absorption and release of the anhydrous salt copper chloride (CuCl2 ) under different relative humidity to produce atmospheric drinking water in scarce regions.
UR - http://hdl.handle.net/10754/670518
UR - https://link.springer.com/10.1007/978-3-030-77980-1_22
UR - http://www.scopus.com/inward/record.url?scp=85111394282&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77980-1_22
DO - 10.1007/978-3-030-77980-1_22
M3 - Conference contribution
SN - 9783030779795
SP - 282
EP - 288
BT - Computational Science – ICCS 2021
PB - Springer International Publishing
ER -