Hydrogen compression and storage systems
A hydrogen compressor includes an inlet valve, an outlet valve, a storage container in fluid communication with the inlet valve and the outlet valve, a heat transfer device, and storage media arranged inside the storage container. The storage media is made from an initial composition that includes a first element and a second element. The second element has at least one substitution element that is identified based on at least one of the ground state volume per atom of the elemental solid, the covalent radius, the Pauling electronegativity, and the number of valence electrons of the substitution element.
1. A hydrogen compressor comprising:
an inlet valve;
an outlet valve;
a storage container in fluid communication with the inlet valve and the outlet valve;
a heat transfer device; and
storage media arranged inside the storage container, wherein the storage media is formed from a composition, wherein the composition is selected and made by way of a process comprising:
providing a proposed composition for the storage media as input to a computer-implemented machine learning model, wherein the proposed composition comprises a first element and a second element, and further wherein the proposed composition has a known plateau pressure associated therewith;
providing a target plateau pressure for the storage media as input to the computer-implemented machine learning model; and
identifying, by the computer-implemented machine learning model, the composition for the storage media, wherein the composition for the storage media is different from the proposed composition for the storage media, wherein the composition has a computed plateau pressure that is closer to the target plateau pressure than the known plateau pressure, and further wherein the composition for the storage media comprises:
at least one of the first element or the second element; and
a third element;
wherein the computer-implemented machine learning model identifies the composition based upon properties of the first element, the second element, and the third element, and further wherein the properties comprise a ground state volume per atom of an elemental solid, a covalent radius, a Pauling electronegativity, and a number of valence electrons.
2. The hydrogen compressor of claim 1 , wherein the computed plateau pressure of the composition is greater than the known plateau pressure of the proposed composition.
3. The hydrogen compressor of claim 2 , wherein an average ground state volume per atom of the composition is less than an average ground state volume per atom of the proposed composition.
4. The hydrogen compressor of claim 2 , wherein an average covalent radius of elements of the composition is less than an average covalent radius of elements of the proposed composition; and/or wherein an average number of valence electrons of elements of the composition is less than an average number of valence electrons of the proposed composition.
5. The hydrogen compressor of claim 2 , wherein an average Pauling negativity of elements of the composition is greater than an average Pauling negativity of the elements of the proposed composition; and/or wherein a hydrogen desorption enthalpy of the composition is less than a hydrogen desorption enthalpy of the proposed composition.
6. The hydrogen compressor of claim 1 , wherein the first element is a hydride forming element and the second element is a non-hydride forming element.
7. The hydrogen compressor of claim 1 , wherein at least the first element and second element are independently selected from the group consisting of: Ti, Fe, Zr, Cr, Mn, Ni, V, Co, and combinations thereof.
8. The hydrogen compressor of claim 1 , further comprising:
a first stage comprising the storage media; and
a second stage comprising a second storage media, the second storage media formed of a third composition that differs from the proposed composition and the composition;
wherein the third composition produces an output plateau pressure that differs from the proposed composition and the composition.
9. A method for creating a hydrogen compressor, the method comprising:
identifying a final composition for a storage media of the hydrogen compressor, wherein identifying the final composition for the storage media comprises:
providing a proposed composition for the storage media as input to a computer-implemented machine learning model, wherein the proposed composition comprises a first element and a second element, and further wherein the proposed composition has a known plateau pressure associated therewith;
providing a target plateau pressure for the storage media as input to the computer-implemented machine learning model; and
identifying, by the computer-implemented machine learning model, the final composition for the storage media, wherein the final composition for the storage media is different from the proposed composition for the storage media, wherein the final composition has a computed plateau pressure that is closer to the target plateau pressure than the known plateau pressure, and further wherein the final composition for the storage media comprises:
at least one of the first element or the second element; and
a third element;
wherein the computer-implemented machine learning model identifies the final composition based upon properties of the first element, the second element, and the third element, and further wherein the properties comprise a ground state volume per atom of an elemental solid, a covalent radius, a Pauling electronegativity, and a number of valence electrons; and
forming the storage media for the hydrogen compressor such that the storage media is at least partially formed of the final composition.
10. The method of claim 9 , wherein the computed plateau pressure of the final composition is greater than the known plateau pressure of the proposed composition.
11. The method of claim 10 , wherein an average ground state volume per atom of the final composition is less than an average ground state volume per atom of the proposed composition.
12. The method of claim 10 , wherein an average covalent radius of elements of the final composition is less than an average covalent radius of elements of the proposed composition; and/or wherein an average number of valence electrons of elements of the final composition is less than an average number of valence electrons of the proposed composition.
13. The method of claim 10 , wherein the final composition forms an interstitial metal hydride when loaded with hydrogen.
14. The method of claim 10 , wherein an average Pauling negativity of elements of the final composition is greater than an average Pauling negativity of the elements of the initial composition.
15. The method of claim 9 , wherein a hydrogen desorption enthalpy of the final composition is less than a hydrogen desorption enthalpy of the proposed composition.
16. The method of claim 9 , further comprising:
including the storage media in a first stage of the hydrogen compressor; and
coupling a second stage to the first stage in the hydrogen compressor, wherein the second stage comprises a second storage media, the second storage media formed of a third composition that differs from the proposed composition and the final composition;
wherein the third composition produces an output plateau pressure that differs from the proposed composition and the composition.
17. A method for using a hydrogen storage system, the method comprising:
receiving a request at a controller for hydrogen to be released from the hydrogen storage system, wherein the hydrogen storage system comprises a storage media that is formed of a composition, wherein the composition of the storage media is made by way of a process comprising:
providing a proposed composition for the storage media as input to a computer-implemented machine learning model, wherein the proposed composition comprises a first element and a second element, and further wherein the proposed composition has a known plateau pressure associated therewith;
providing a target plateau pressure for the storage media as input to the computer-implemented machine learning model; and
identifying, by the computer-implemented machine learning model, the composition for the storage media, wherein the composition for the storage media is different from the proposed composition for the storage media, wherein the composition has a computed plateau pressure that is closer to the target plateau pressure than the known plateau pressure, and further wherein the composition for the storage media comprises:
at least one of the first element or the second element; and
a third element;
wherein the computer-implemented machine learning model identifies the composition based upon properties of the first element, the second element, and the third element, and further wherein the properties comprise a ground state volume per atom of the elemental solid, a covalent radius, a Pauling electronegativity, and a number of valence electrons; and
releasing the hydrogen from the hydrogen storage system in response to receipt of the request.
18. The method of claim 17 , wherein the computed plateau pressure of the composition is greater than the known plateau pressure of the proposed composition and a desired filling pressure hydrogen storage system is about 350 bar to about 850 bar.
19. The method of claim 18 , wherein an average ground state volume per atom of the composition is less than an average ground state volume per atom of the proposed composition and an average covalent radius of elements of the composition is less than an average covalent radius of elements of the proposed composition.
20. The method of claim 18 , wherein the composition of the storage media forms an interstitial metal hydride when loaded with hydrogen and wherein the first, second, and third element is independently selected from the group consisting of: Ti, Fe, Zr, Cr, Mn, Ni, V, Co, and combinations thereof.