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License: CC BY
Data sources: Datacite
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License: CC BY
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HDRI-EAF_mass_energy_flow_final

Authors: Abhinav Bhaskar;

HDRI-EAF_mass_energy_flow_final

Abstract

This Jupyter notebook contains python codes for mass and energy flow model for hydrogen direct reduction of iron ore using green hydrogen for decarbonisation of the iron and steel sector. Standard libraries like Numpy, Matplotlib and Pandas have been used in the codes. The easiest way to use the codes is to install Python using the latest version of Anaconda from the web.

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Keywords

Hydrogen direct reduction of iron ore, Python, Numpy, Matplotlib, Jupyter

EOSC Subjects

Jupyter Notebook

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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