{"title":"Biohydrogen production from algae: Technical possibilities and economic challenges","authors":"Malek Alkasrawi , Marzieh Bagheri , Nadeen Al-Smadi , Mohamed Al Zarooni","doi":"10.1016/j.ijft.2025.101154","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"27 ","pages":"Article 101154"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Thermofluids","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666202725001016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Chemical Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
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.