Lego world map of energy to harvest water from the atmosphere [OC] https://doi.org/10.1039/d2ee01071bwasdlmb t1_j22v10x wrote
Reply to comment by WaterScienceProf in Lego world map of energy to harvest water from the atmosphere [OC] https://doi.org/10.1039/d2ee01071b by WaterScienceProf
Thank you. Weather is wild.
The chart makes it look like the energy need mirrors relative humidity, but multiplying relative humidity by a constant wouldn't require high performance computing. Nor even just a defined two input map applied to every point. What was it that took the cluster so much time to compute? Did you have to model the local relative humidity yourself, or is there some more complex relation that I'm not seeing?
WaterScienceProf OP t1_j25u4s8 wrote
The model calculates the Gibbs free energy from removing water vapor, which takes property lookups at each condition. The data intensity comes into play because it's a full year averaged using hourly data, all across the globe.
To the other question: as the humidity goes to zero, the energy needs become extremely high. It also becomes very challenging for practical systems.
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