Compact H2 storage at normal T and P conditions


Compact H2 storage at normal T and P conditions
Author: David Judbarovski, systems engineering, principle inventor

Background
Compact hydrogen storage hazard free, in operative quantity at mild conditions for personal cars, had been practically unsolvable problem, so hydrogen economics and hydrogen energy there are not in practice for personal cars till now, but in scientific dreams only.
Really, direct storage in a car for 1000 km mileage, even if with very energy effective H2-air FC and an electric mover per a wheel, needs about 9 kg hydrogen, and even if under enormous big pressure (let be 700 atm.), it would be enormous big tank of 220 liter (42 kg/m3, and it is very hazard deal.  A little more adequate science research is a porous containers of gaseous hydrogen, being compact, but it needs cryogenic about 100 K, slightly higher only, than its deep T evap. = 20 K (see [1] )

One of much more practical solutions was published by me yesterday, 22.02.2020 ([2] - “About non hazard usage of very dangerous hydrogen, https://judbarovski.blogspot.com/2020/02/  ).   


It is a compact storage - 110 kg/m3, or 50 kg = 3 * 16 kg = 3 * 23 liter for 1000 km mileage, but at normal temperature and 20 atm., and hazard free  vs. [1] with 70 kg/m3, 130 liter at 25 atm., but at cryogenic temperature, being very unsuitable for cars practice.

My above mentioned technology is a very interdisciplinary, considering wide environment of problems of hydrogen economics and hydrogen energy. Non hazard hydrogen storage and its usage were a small part of them, but a key part.
And porous container for compact ammonia storage at normal temperature and pressure can be interested innovation in a frame of whole system, was described in [2] . Moreover, it allows our hydrogen to store and use at wide range of T and P conditions, can be simply adjusted for different kinds of fuel calls and their variable operational needs.    

[1] The usable capacity of porous  materials for hydrogen storage, M. Schlichtenmayer & Michael Hirsch, 2016, Max Plank Institute for Intelligent Systems,

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