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This study explores the potential of biohydrogen production from algae, investigating various technical pathways and addressing associated economic challenges. It reviews methods such as direct photolysis , indirect biophotolysis , gasification, and fermentation for extracting hydrogen from algae while also examining modeling techniques powered by IA. Thermodynamics of these methods are scrutinized for efficiency and viability, with a special emphasis on modeling for optimization. Algae cultivation , crucial for biohydrogen production, is thoroughly examined, detailing parameters like temperature and pH levels and bio-reactor designs. Additionally, the study conducts a Technical Economic Analysis (TEA) to evaluate the economic feasibility of these methodologies, providing insights for stakeholders and policymakers. The review also summarizes the AI approach to optimizing biohydrogen production.
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Alkasrawi et al. (2025) studied this question.
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