journal article·2023-09-25

Green, One-Step Mechanochemical Synthesis and Techno-economic Analysis of UiO-66-NH2

Samuel R. Wenger, Eleanor R. Kearns, Kaleb L. Miller, Deanna M. D’Alessandro

ACS Applied Energy Materials· Volume 6· Issue 18
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Abstract

In this work, we performed a techno-economic analysis for a one-pot, green mechanochemical synthesis of the archetypal metal–organic framework (MOF) UiO-66-NH2. The analysis demonstrated that labor costs play a substantial role in the cost of manufacturing. We identified the importance of scaling production from a batch method toward a more continuous synthesis mechanism. Through our work, we were able to mechanochemically produce UiO-66-NH2 at a rate of 4.52 g per 90 min with a 43% yield for a levelized cost of approximately US$6,498 per kilogram, which is comparable in cost to other archetypal MOFs offered in retail markets.
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Research context

OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Crystallography and molecular interactions · Machine Learning in Materials Science

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Affiliations

School of Chemistry, The University of Sydney, Sydney, New South Wales2006, Australia

References (59)

Show source-provided references
1. 10.1039/C7CS00109F10.1039/C7CS00109F ↗
2. 10.1039/D1TA08777K10.1039/D1TA08777K ↗
3. 10.1021/acs.cgd.9b0095510.1021/acs.cgd.9b00955 ↗
4. 10.1021/acs.cgd.5b0119010.1021/acs.cgd.5b01190 ↗
5. 10.1021/acsaem.0c0132210.1021/acsaem.0c01322 ↗
6. 10.1021/acsaem.0c0054710.1021/acsaem.0c00547 ↗
7. 10.1088/2516-1083/abf1ce10.1088/2516-1083/abf1ce ↗
8. 10.1039/C5CS00837A10.1039/C5CS00837A ↗
9. 10.1021/cm102601v10.1021/cm102601v ↗
10. 10.1039/C9DT00154A10.1039/C9DT00154A ↗
11. 10.1021/ic500607a10.1021/ic500607a ↗
12. 10.1088/2043-6262/6/2/02500410.1088/2043-6262/6/2/025004 ↗
13. 10.1002/anie.20100043110.1002/anie.201000431 ↗
14. Search term “metal-organic framework synthesis”:Web of Science. Web of Science, Clarivate, 2022; https://www.webofscience.com (accessed 2022-08-13).
15. 10.1016/j.jece.2021.10515910.1016/j.jece.2021.105159 ↗
16. 10.1021/acs.energyfuels.6b0251010.1021/acs.energyfuels.6b02510 ↗
17. 10.1021/acssuschemeng.0c0558710.1021/acssuschemeng.0c05587 ↗
18. 10.1021/cr200304e10.1021/cr200304e ↗
19. 10.1038/nchem.266110.1038/nchem.2661 ↗
20. 10.1039/D1FD00025J10.1039/D1FD00025J ↗
21. MilliporeSigma|United States, Merck KGaA, 2022; https://www.sigmaaldrich.com/US/en (accessed 2022-05-04).
22. 10.1039/B918763B10.1039/B918763B ↗
23. 10.1039/C5CC08972G10.1039/C5CC08972G ↗
24. 10.1039/C7CC03105J10.1039/C7CC03105J ↗
25. 10.1021/acssuschemeng.8b0445810.1021/acssuschemeng.8b04458 ↗
26. 10.1021/acs.inorgchem.1c0183910.1021/acs.inorgchem.1c01839 ↗
27. 10.1021/acscentsci.6b0027710.1021/acscentsci.6b00277 ↗
28. 10.1021/cg800764n10.1021/cg800764n ↗
29. 10.1039/b709411f10.1039/b709411f ↗
30. 10.1038/nmat184810.1038/nmat1848 ↗
31. 10.1021/acs.cgd.0c0089510.1021/acs.cgd.0c00895 ↗
32. 10.1039/C4CC00659C10.1039/C4CC00659C ↗
33. 10.3316/informit.71426181719065010.3316/informit.714261817190650 ↗
34. 10.1039/D0TA11747A10.1039/D0TA11747A ↗
35. Tracy-Amoroso, N. MofXDB: A database of MOFs/Xeolites, 2022; https://mof.tech.northwestern.edu/ (accessed 2022-06-29).
36. Levelized Cost of Energy (LCOE), Office of Indian Energy, U.S. Department of Energy, 2015; https://www.energy.gov/sites/prod/files/2015/08/f25/LCOE.pdf (accessed 2022-01-27).
37. 10.1016/j.joule.2021.06.01810.1016/j.joule.2021.06.018 ↗
38. 10.2172/173887810.2172/1738878 ↗
39. NASEM. Developing a Research Agenda for Carbon Dioxide Removal and Reliable Sequestration, National Academies Sciences, Engineering, and Medicine (NASEM), 2019; https://www.nationalacademies.org/our-work/developing-a-research-agenda-for-carbon-dioxide-removal-and-reliable-sequestration (accessed 2021-10-29).
40. Bureau of Labor Statistics Data. 12-Month Percent Change. CPI for All Urban Consumers (CPI-U), 2022; https://data.bls.gov/timeseries/CUUR0000SA0L1E?output_view=pct_12mths (accessed 2022-03-23).
41. Scott, M. Technical Economic Analysis Guide - DRAFT; Independent Statistics & Analysis, U.S. Department of Energy, 2015. https://www.eia.gov/outlooks/documentation/workshops/pdf/tea_guide_071015_draft.pdf (accessed 2022-01-15).
42. 10.3390/cryst1101001510.3390/cryst11010015 ↗
43. 10.1016/j.ijhydene.2014.03.00910.1016/j.ijhydene.2014.03.009 ↗
44. 10.1021/ie202325p10.1021/ie202325p ↗
45. 10.1016/j.apenergy.2020.11556010.1016/j.apenergy.2020.115560 ↗
46. 10.1021/jacs.7b1011210.1021/jacs.7b10112 ↗
47. 10.1039/C8GC02312C10.1039/C8GC02312C ↗
48. 10.1039/C6DT00189K10.1039/C6DT00189K ↗
49. 10.3390/molecules2613383710.3390/molecules26133837 ↗
50. 10.1007/s10854-021-07614-710.1007/s10854-021-07614-7 ↗
51. 10.1016/j.jcis.2015.08.06110.1016/j.jcis.2015.08.061 ↗
52. 10.1038/nmeth.208910.1038/nmeth.2089 ↗
53. 10.1021/ed032p4010.1021/ed032p40 ↗
54. 10.1038/nenergy.2017.11010.1038/nenergy.2017.110 ↗
55. 10.1016/j.enpol.2015.06.01110.1016/j.enpol.2015.06.011 ↗
56. Gerke, B. F.; Ngo, A. T.; Fisseha, K. S. Recent price trends and learning curves for household LED lamps from a regression analysis of Internet retail data; Ernest Orlando Lawrence Berkeley National Laboratory2015; p 19.
57. 10.1016/j.enpol.2017.02.02710.1016/j.enpol.2017.02.027 ↗
58. 10.1504/IJETP.2004.00458710.1504/IJETP.2004.004587 ↗
59. 10.1016/j.energy.2007.03.00410.1016/j.energy.2007.03.004 ↗