Distributional trends in the generation and end-use sector of low-carbon hydrogen plants
arXiv:2301.08457 · doi:10.3390/hydrogen4010012
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 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 among different continents and examine the changes in sector distribution over time. Finally, we judiciously apply several regression models to analyse the association between various predictors and the capacity of global hydrogen projects. Across our experiments, we see a welcome exponential growth in the capacity of zero-carbon hydrogen plants and significant growth of new and planned hydrogen plants in the 2020's across every sector.
Accepted manuscript. Minor edits since v1. Equal contribution
References in corpus (20)
- Multiscale characteristics of the emerging global cryptocurrency market
- Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies
- Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market
- Power-law distribution in the number of confirmed COVID-19 cases
- Complexity in economic and social systems: cryptocurrency market at around COVID-19
- Safe Leads and Lead Changes in Competitive Team Sports
- Competition of noise and collectivity in global cryptocurrency trading: route to a self-contained market
- Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time
- Financial Return Distributions: Past, Present, and COVID-19
- Anomalous Diffusion and Long-range Correlations in the Score Evolution of the Game of Cricket
- Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil
- Economic state classification and portfolio optimisation with application to stagflationary environments
- Global and regional changes in carbon dioxide emissions: 1970-2019
- Spatio-temporal trends in the propagation and capacity of low-carbon hydrogen projects
- A new measure between sets of probability distributions with applications to erratic financial behavior
- Understanding spatial propagation using metric geometry with application to the spread of COVID-19 in the United States
- Estimating a continuously varying offset between multivariate time series with application to COVID-19 in the United States
- In search of peak human athletic potential: A mathematical investigation
- Dual-domain analysis of gun violence incidents in the United States
- Geometric persistence and distributional trends in worldwide terrorism
Cited by in corpus (5)
- Collective dynamics, diversification and optimal portfolio construction for cryptocurrencies
- An exploration of the mathematical structure and behavioural biases of 21st century financial crises
- Detecting imbalanced financial markets through time-varying optimization and nonlinear functionals
- Portfolio diversification with varying investor abilities
- Nonlinear shifts and dislocations in financial market structure and composition