Liquefied Natural Gas and Hydrogen Regasification Terminal Design through Neural Network Estimated Demand for the Canary Islands

Liquefied Natural Gas and Hydrogen Regasification Terminal Design through Neural Network Estimated Demand for the Canary Islands

This publication explores how the existing synergies between conventional liquefied natural gas regasification and hydrogen hydrogenation and dehydrogenation processes can be exploited. Liquid Organic Hydrogen Carrier methodology has been analyzed for hydrogen processes from a thermodynamic point of...

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Bibliographic Details
Main Authors: José Ignacio García-Lajara, Miguel Ángel Reyes-Belmonte
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
LNG regasification terminal
hydrogen
LOHC
neural network
modeling
energy demand forecast
Online Access:https://www.mdpi.com/1996-1073/15/22/8682

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https://www.mdpi.com/1996-1073/15/22/8682

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