Journal article
Emerging Photoreforming Process to Hydrogen Production: A Future Energy
Advanced functional materials, v 34(40), 2403795
01 Oct 2024
Abstract
In the quest of renewable energy technologies, solar photoreforming emerges as one of the affordable yet challenging process for converting biomass into hydrogen, hydrocarbon fuels, and chemicals. This review highlights the state‐of‐the‐art photoreforming, elucidating its underlying mechanisms for the conversion of dissipated polymers into H2 and valuable chemicals. Biomass feedstocks such as carbohydrates, agricultural residues, glycopolymers, food wastes, and waste plastics are evaluated based on their chemical composition, energy content, and sustainability aspects, exploring the selection of appropriate bio‐renewable resources, considering their abundance, availability, and potential for hydrogen production. The impact of diverse process parameters on photoreforming efficiency is explored, encompassing factors like reaction temperature, pH, catalyst loading, reactor design, solvent effect, and light intensity across various sacrificial substrates. The discussion also considers their correlation with hydrogen production rate, selectivity, and energy efficiency. This review buckles on the design and synthesis of functional photocatalysts for biomass‐derived feedstock, highlighting their photocatalytic (PC) properties in biomass reforming processes and related feedstock into valuable chemicals and biofuel. The review also delves into potential pathways for future advancements including artificial intelligence (AI) and machine learning (ML), alongside addressing the challenges and insightful perspectives within this evolving field of future green energy. This review explores solar photoreforming as a promising method for converting biomass into hydrogen and valuable chemicals. It assesses various biomass substrates and process parameters impact on efficiency. The focus lies on designing functional photocatalysts and potential uses including artificial intelligence (AI) and machine learning (ML) for future green energy.
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Details
- Title
- Emerging Photoreforming Process to Hydrogen Production: A Future Energy
- Creators
- Sandip Prabhakar Shelake - Indian Institute of Chemical TechnologyDattatray Namdev Sutar - Indian Institute of Chemical TechnologyB. Moses Abraham - Drexel UniversityTanmay Banerjee - Birla Institute of Technology and Science, PilaniAnnadanam V. Sesha Sainath - Indian Institute of Chemical TechnologyUjjwal Pal (Corresponding Author) - Indian Institute of Chemical Technology
- Publication Details
- Advanced functional materials, v 34(40), 2403795
- Publisher
- Wiley
- Number of pages
- 46
- Grant note
- DST HFC (DST/TMD/HFC/2k18/60; CLP‐0138/HPCL; MLP‐0038)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering; A.J. Drexel Nanomaterials Institute
- Web of Science ID
- WOS:001202949600001
- Scopus ID
- 2-s2.0-85190363869
- Other Identifier
- 991022202084804721