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Harps under Heavy Fog Conditions: Superior to Meshes but Prone to Tangling.

Weiwei ShiLance H De KoninckBrandon J HartNicholas G KowalskiAndrew P FugaroThomas W van der SlootRobin S OttBrook S KennedyJonathan B Boreyko
Published in: ACS applied materials & interfaces (2020)
In arid yet foggy regions, fog harvesting is emerging as a promising approach to combat water scarcity. The mesh netting used by current fog harvesters suffers from inefficient drainage, which severely constrains the water collection efficiency. Recently, it was demonstrated that fog harps can significantly enhance water harvesting as the vertical wire array does not obstruct the drainage pathway. However, fabrication limitations resulted in a very low shade coefficient of 18% for the initial fog harp prototype and the field testing was geographically confined to light fog conditions. Here, we use wire-electrical discharge machining (wire-EDM) to machine ultrafine comb arrays; winding the harp wire along a comb-embedded reinforced frame enabled a shade coefficient of 50%. To field test under heavy fog conditions, we placed the harvesters on a closed-circuit test road and inundated them with fog produced by an array of overlying fog towers. On average, the fog harps collected about three times more water than the mesh netting. During fog harvesting, the harp wires were observed to tangle together due to the surface tension of water. We developed a rational model to predict the extent of the tangling problem for any given fog harp design. By designing next-generation fog harps to be anti-tangling, we expect that even larger performance multipliers will be possible compared to the current mesh harvesters.
Keyphrases
  • high resolution
  • magnetic resonance imaging
  • machine learning
  • mass spectrometry
  • deep learning
  • diffusion weighted imaging
  • single cell
  • particulate matter
  • energy transfer
  • air pollution