2023
DOI: 10.3390/hydrogen4010012
|View full text |Cite
|
Sign up to set email alerts
|

Distributional Trends in the Generation and End-Use Sector of Low-Carbon Hydrogen Plants

Abstract: This paper uses established and recently introduced methods from the applied mathematics and statistics literature to study trends in the end-use sector and the capacity of low-carbon hydrogen projects in recent and upcoming decades. First, we examine distributions in plants over time for various end-use sectors and classify them according to metric discrepancy, observing clear similarity across all industry sectors. Next, we compare the distribution of usage sectors between different continents and examine th… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 84 publications
0
3
0
Order By: Relevance
“…The global energy landscape is undergoing a significant transformation, driven by the urgent need to address climate change and the collective shift towards a clean energy economy. Hydrogen, especially low-carbon-intensity hydrogen, stands at the forefront of this transition, promising to bridge the gap where direct electrification is challenging, such as in the heavy industry and transport sectors [1][2][3][4]. Unlike conventional hydrogen production, low-carbon-intensity hydrogen can be produced through various processes, from fossil fuels to renewables, significantly reducing greenhouse gas emissions and aligning with global sustainability goals [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…The global energy landscape is undergoing a significant transformation, driven by the urgent need to address climate change and the collective shift towards a clean energy economy. Hydrogen, especially low-carbon-intensity hydrogen, stands at the forefront of this transition, promising to bridge the gap where direct electrification is challenging, such as in the heavy industry and transport sectors [1][2][3][4]. Unlike conventional hydrogen production, low-carbon-intensity hydrogen can be produced through various processes, from fossil fuels to renewables, significantly reducing greenhouse gas emissions and aligning with global sustainability goals [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…These modeling techniques have been widely applied to the study of several asset classes including equities, cryptocurrencies and fixed income [ 33 , 34 , 35 , 36 , 37 , 38 ]. Finally, we would be remiss not to mention the wide range of techniques in time series analysis that have been used to study financial problems [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 ], including cryptocurrencies [ 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ] and diverse fields in socio- and econophysics [ 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ].…”
Section: Introductionmentioning
confidence: 99%
“…In financial markets, these methodologies have been applied to a wide range of asset classes such as equities [45][46][47][48], foreign exchange [49], cryptocurrencies [50][51][52][53][54][55][56][57] and debt-related instruments [58]. Such methods from applied mathematics have been used in a variety of other disciplines including epidemiology [59][60][61][62][63][64][65][66][67][68], environmental sciences [69][70][71][72][73][74][75][76][77], crime [78][79][80], and other fields [81,82].…”
mentioning
confidence: 99%