Cost-Benefit Assessment and Industrial Scale-Up Variability of Low Carbon Hydrogen Energy Production DOI Creative Commons
Harshit Mittal, Vivek Yadav,

S. Karthika

et al.

Published: Aug. 7, 2024

In a booming global economy, through the use of fair share conventional energy sources, converting current economy into low-carbon hydrogen is an exigent problem. Several policies and economies have failed to implement fully circulating economy. This paper provides novel policy framework from grassroots level achieve free-flowing production, storage, transport. Such thoroughly proposed cost‒benefit analysis plant producing 1 tonne per day using several mathematical computational models. showcases operations, development tangible intangible benefits which final mechanism are formulated. Along with such formulations, varied industrial scalability also portrayed, significantly portrays requirements 0.5 10 TPD parameters.

Language: Английский

AI Powered Renewable Energy Balancing, Forecasting and Global Trend Analysis using ANN-LSTM Integration DOI

Sanjana Murgod,

Kartik Garg,

Triveni Magadum

et al.

Published: March 3, 2025

Abstract The instability of renewable energy sources like solar and wind places significant hurdles on distribution grid stability, thus hampering the race towards sustainable solutions. These instabilities, mainly due to fluctuating weather conditions, may lead surpluses or shortages energy-with inevitable effects grid's reliability. It is proposed that an AI-enabled system based ANN LSTM solutions be developed analyse global trends, predict generation accurately, enhance resilience. new model resides historical real-time data adequately captures long-range transition short-range fluctuations in energy, allowing better management. Along with that, intelligent forecasting will also optimize storage minimize overreliance normal fossil fuel energy. insights drawn out by this provide considerable assistance decision-makers, suppliers, operators their drive for a more stable, efficient, dependable, infrastructure. This research highlights role AI-driven predictive analytics should play facilitating transitions toward while addressing some critical operational challenges reliability distribution.

Language: Английский

Citations

0
Carbon Capture Advancements in Metal-Organic Frameworks DOI Open Access
Harshit Mittal, Vivek Yadav, Omkar Singh Kushwaha

et al.

Published: Aug. 9, 2024

Global growth and sustainability highly depend upon the output of industries, corporations, governments, non-governmental organisations requiring comprehensive energy transition in face a worldwide crisis demanding carbon neutralisation. The neutralisation challenges required for could be overcome by detailed surveying, recording analysis dioxide emissions. It is crucial to study innovative materials like metal-organic frameworks their transdisciplinary applications towards capture have sustainable strategy harmful In addition, CO2 solubility, adsorption absorption capacity, several reinforcing characteristics factors using MOFs are discussed detail. Further, various multidisciplinary commercialisation, parameters were considered. Moreover, essential organic qualities organo-derivatives considerably elaborated. Overall, align with current development goals, it significant that emissions must reduced along its scientific manner. Relevant projections through been reviewed industrially universally alignment United Nations Sustainable Development Goals (UNSDGs).

Language: Английский

Citations

1
Solar energy generation and power prediction through computer vision and machine intelligence DOI

Dipanjan Rout,

Naman Shyamsukha,

Harshit Mittal

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 103 - 123

Published: Oct. 1, 2024

Language: Английский

Citations

1
Projecting technological advancement of electrolyzers and the impact on the competitiveness of hydrogen DOI Creative Commons
Lauritz Bühler, Dominik Möst

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 98, P. 1174 - 1184

Published: Dec. 14, 2024

Language: Английский

Citations

1
Cost-Benefit Assessment and Industrial Scale-Up Variability of Low Carbon Hydrogen Energy Production DOI Creative Commons
Harshit Mittal, Vivek Yadav,

S. Karthika

et al.

Published: Aug. 7, 2024

In a booming global economy, through the use of fair share conventional energy sources, converting current economy into low-carbon hydrogen is an exigent problem. Several policies and economies have failed to implement fully circulating economy. This paper provides novel policy framework from grassroots level achieve free-flowing production, storage, transport. Such thoroughly proposed cost‒benefit analysis plant producing 1 tonne per day using several mathematical computational models. showcases operations, development tangible intangible benefits which final mechanism are formulated. Along with such formulations, varied industrial scalability also portrayed, significantly portrays requirements 0.5 10 TPD parameters.

Language: Английский

Citations

0