Integrating drying technologies with hydrogen production: Toward a circular and sustainable future

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Integrating drying technologies with hydrogen production: Toward a circular and sustainable future

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Over the past few years, the switch towards renewable sources for energy production is considered as necessary for the future sustainability of the world environment. Hydrogen is one of the most promising energy vectors for the stocking of low density renewable sources such as wind, biomasses and sun. The production of hydrogen by the steam-iron process could be one of the most versatile approaches useful for the employment of different reducing bio-based fuels. The steam iron process is a two-step chemical looping reaction based (i) on the reduction of an iron-based oxide with an organic compound followed by (ii) a reoxidation of the reduced solid material by water, which lead to the production of hydrogen. The overall reaction is the water oxidation of the organic fuel (gasification or reforming processes) but the inherent separation of the two semireactions allows the production of carbon-free hydrogen. In this thesis, steam-iron cycle with methanol is proposed and three different oxides with the generic formula AFe2O4 (A=Co,Ni,Fe) are compared in order to understand how the chemical properties and the structural differences can affect the productivity of the overall process. The modifications occurred in used samples are deeply investigated by the analysis of used materials. A specific study on CoFe2O4-based process using both classical and in-situ/ex-situ analysis is reported employing many characterization techniques such as FTIR spectroscopy, TEM, XRD, XPS, BET, TPR and Mossbauer spectroscopy.

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The pursuit of sustainable and clean energy solutions has led to increased interest in hydrogen as an efficient energy carrier. This paper presents a comprehensive analysis of state-of-the-art technologies for hydrogen production through seawater electrolysis and desalination, addressing the critical need for clean energy generation and sustainable water supply. It emphasizes the importance of hydrogen as a versatile and environmentally friendly energy source, as well as the significance of seawater desalination in addressing water scarcity challenges. “The analysis encompasses a comparison of the three existing commercial electrolysis technologies”: solid oxide electrolysis (SOE), alkaline electrolyzers (AE), and proton exchange membrane (PEM) electrolysis. Factors such as energy requirements, capital and maintenance costs, and offshore suitability are considered, facilitating an informed evaluation of the most suitable electrolysis method for seawater hydrogen production. Additionally, three desalination technologies with commercial applications are under evaluation: reverse osmosis (RO), thermal desalination, and membrane desalination. The assessment takes into account investment and operation costs, energy demand, and environmental impact, providing insights into the feasibility and sustainability of integrating hydrogen production with seawater desalination. The findings reveal the energy, economic, and environmental aspects of hydrogen production via seawater electrolysis and desalination, shedding light on the synergies and challenges involved. The study concludes by summarizing the main results, identifying research gaps, and outlining future directions for further advancements in the field. This condensed review serves as a valuable resource for policymakers, researchers, and practitioners in understanding the complex interplay between hydrogen production, seawater electrolysis, and desalination. It provides a perspective on energy demands, environmental impact, and investment of various technologies, enabling informed decision-making toward a more sustainable and resilient energy–water nexus. Overall, this study contributes to the growing body of knowledge on hydrogen production and seawater desalination, offering insights that can inform strategic planning, policy development, and technological advancements in achieving a greener and more sustainable future.

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The European Commission have just stated that hydrogen would play a major role in the economic recovery of post-COVID-19 EU countries. Hydrogen is recognised as one of the key players in a fossil fuel-free world in decades to come. However, commercially practiced pathways to hydrogen production todays, are associated with a considerable amount of carbon emissions. The Paris Climate Change Agreement has set out plans for an international commitment to reduce carbon emissions within the forthcoming decades. A sustainable hydrogen future would only be achievable if hydrogen production is “designed” to capture such emissions. Today, nearly 98% of global hydrogen production relies on the utilisation of fossil fuels. Among these, steam methane reforming (SMR) boasts the biggest share of nearly 50% of the global generation. SMR processes correspond to a significant amount of carbon emissions at various points throughout the process. Despite the dark side of the SMR processes, they are projected to play a major role in hydrogen production by the first half of this century. This that a sustainable, yet clean short/medium-term hydrogen production is only possible by devising a plan to efficiently capture this co-produced carbon as stated in the latest International Energy Agency (IEA) reports. Here, we have carried out an in-depth technical review of the processes employed in sorption-enhanced steam methane reforming (SE-SMR), an emerging technology in low-carbon SMR, for combined carbon capture and hydrogen production. This paper aims to provide an in-depth review on two key challenging elements of SE-SMR i.e. the advancements in catalysts/adsorbents preparation, and current approaches in process synthesis and optimisation including the employment of artificial intelligence in SE-SMR processes. To the best of the authors’ knowledge, there is a clear gap in the literature where the above areas have been scrutinised in a systematic and coherent fashion. The gap is even more pronounced in the application of AI in SE-SMR technologies. As a result, this work aims to fill this gap within the scientific literature.

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