E-Fuels: A Comprehensive Review of the Most Promising Technological Alternatives towards an Energy Transition

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3995 - 3995

Published: Aug. 12, 2024

E-fuels represent a crucial technology for transitioning to fossil-free energy systems, driven by the need eliminate dependence on fossil fuels, which are major environmental pollutants. This study investigates production of carbon-neutral synthetic focusing e-hydrogen (e-H2) generated from water electrolysis using renewable electricity and carbon dioxide (CO2) captured industrial sites or air (CCUS, DAC). E-H2 can be converted into various e-fuels (e-methane, e-methanol, e-DME/OME, e-diesel/kerosene/gasoline) combined with nitrogen produce e-ammonia. These serve as efficient carriers that stored, transported, utilized across different sectors, including transportation industry. The first objective is establish clear framework encompassing required feedstocks technologies, such electrolysis, capture, techniques, followed an analysis e-fuel synthesis technologies. second evaluate these technologies’ technological maturity sustainability, comparing conversion efficiency greenhouse gas emissions their electric counterparts. sustainability hinges electricity. Challenges future prospects system based discussed, aiming inform debate e-fuels’ role in reducing fuel dependency.

Language: Английский

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Hydrogen fuel cell vehicles: Overview and current status of hydrogen mobility

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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A systematic review and bibliometric analysis of electric cooking: evolution, emerging trends, and future research directions for sustainable development

Sustainable Energy Research, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 27, 2024

Abstract Many developing countries, particularly in Africa and Asia, still widely use traditional cooking methods that rely on solid fuels such as wood charcoal. These inefficient polluting practices have severe health impacts due to household air pollution, they contribute environmental degradation through deforestation black carbon emissions. This has driven growing interest cleaner more sustainable alternatives electric (e-cooking), improved biomass cookstoves, biogas systems, modern fuel stoves can reduce emissions consumption while providing a safer experience. E-cooking emerged promising option sustainability, benefits, energy efficiency, convenience, safety, potential for grid integration, making it alternative methods. study followed the PRISMA guidelines systematic reviews assess existing literature e-cooking from 1993 2023. In addition, biblioshiny package R software was used perform bibliometric analysis identify key trends evolutions. The results indicate United Kingdom, States, Japan, Australia, China are top five countries leading research. identified areas future research, optimising solar e-cookers using artificial intelligence techniques, integrating internet of things automation technologies e-cookers, appliances into smart examining effective behavioural change interventions, exploring innovative business models. findings highlight need interdisciplinary collaboration among researchers, engineers, social scientists, policymakers address technical, economic, socio-cultural, factors influencing transition e-cooking.

Language: Английский

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Strategies to promote nuclear energy utilization in hydrogen production

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 82, P. 36 - 46

Published: July 30, 2024

Language: Английский

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Liquid air energy storage (LAES) – Systematic review of two decades of research and future perspectives

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 102, P. 114022 - 114022

Published: Oct. 5, 2024

Language: Английский

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A bird's eye view of pumped hydro energy storage: A bibliometric analysis of global research trends and future directions

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 103, P. 114339 - 114339

Published: Oct. 25, 2024

Language: Английский

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Enhanced hydrogen generation from hydrolysis of MgH2-NaMgH3 composites in chlorine solutions

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179157 - 179157

Published: Feb. 1, 2025

Language: Английский

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The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1192 - 1192

Published: Feb. 28, 2025

The transition from fossil fuels to renewable energy (RE) sources is an essential step in mitigating climate change and ensuring environmental sustainability. However, large-scale deployment of renewables accompanied by new challenges, including the growing demand for rare-earth elements, need recycling end-of-life equipment, rising footprint digital tools—particularly artificial intelligence (AI) models. This systematic review, following Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, explores how lightweight, distilled AI models can alleviate computational burdens while supporting critical applications systems. We examined empirical conceptual studies published between 2010 2024 that address energy, circular economy paradigm, model distillation low-energy techniques. Our findings indicate adopting significantly reduce consumption data processing, enhance grid optimization, support sustainable resource management across lifecycle infrastructures. review concludes highlighting opportunities challenges policymakers, researchers, industry stakeholders aiming integrate principles into RE strategies, emphasizing urgent collaborative solutions incentivized policies encourage low-footprint innovation.

Language: Английский

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A review of research trends, innovations, and future directions in phase change materials for energy storage in solar drying systems: A bibliometric approach

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 118, P. 116233 - 116233

Published: March 18, 2025

Language: Английский

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Deep Learning-Based State-of-Health Estimation of Proton-Exchange Membrane Fuel Cells under Dynamic Operation Conditions

Sensors, Journal Year: 2024, Volume and Issue: 24(14), P. 4451 - 4451

Published: July 10, 2024

Proton-exchange membrane fuel cells (PEMFCs) play a crucial role in the transition to sustainable energy systems. Accurately estimating state of health (SOH) PEMFCs under dynamic operating conditions is essential for ensuring their reliability and longevity. This study designed conducted durability tests using both crack-free with uniform cracks. Utilizing deep learning methods, we estimated SOH investigated performance long short-term memory networks (LSTM), gated recurrent units (GRU), temporal convolutional (TCN), transformer models estimation tasks. We also explored impact different sampling intervals training set proportions on predictive these models. The results indicated that shorter higher significantly improve prediction accuracy. highlighted challenges posed by presence Cracks cause more frequent intense voltage fluctuations, making it difficult accurately capture behavior PEMFCs, thereby increasing errors. However, conditions, due stable output, all showed improved performance. Finally, this underscores effectiveness provides insights into optimizing strategies enhance findings make significant contribution development reliable efficient PEMFC systems applications.

Language: Английский

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