生物氢生产的进展--技术、生命周期分析和未来范围的全面回顾。

IF 3.9 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY RSC Advances Pub Date : 2024-11-18 DOI:10.1039/D4RA06214K
Aarnav Hetan Sanghvi, Amarjith Manjoo, Prachi Rajput, Navya Mahajan, Natarajan Rajamohan and Iyman Abrar
{"title":"生物氢生产的进展--技术、生命周期分析和未来范围的全面回顾。","authors":"Aarnav Hetan Sanghvi, Amarjith Manjoo, Prachi Rajput, Navya Mahajan, Natarajan Rajamohan and Iyman Abrar","doi":"10.1039/D4RA06214K","DOIUrl":null,"url":null,"abstract":"<p >The global shift towards sustainable energy sources, necessitated by climate change concerns, has led to a critical review of biohydrogen production (BHP) processes and their potential as a solution to environmental challenges. This review evaluates the efficiency of various reactors used in BHP, focusing on operational parameters such as substrate type, pH, temperature, hydraulic retention time (HRT), and organic loading rate (OLR). The highest yield reported in batch, continuous, and membrane reactors was in the range of 29–40 L H<small><sub>2</sub></small>/L per day at an OLR of 22–120 g/L per day, HRT of 2–3 h and acidic range of 4–6, with the temperature maintained at 37 °C. The highest yield achieved was 208.3 L H<small><sub>2</sub></small>/L per day when sugar beet molasses was used as a substrate with <em>Clostridium</em> at an OLR of 850 g COD/L per day, pH of 4.4, and at 8 h HRT. The integration of artificial intelligence (AI) tools, such as artificial neural networks and support vector machines has emerged as a novel approach for optimizing reactor performance and predicting outcomes. These AI models help in identifying key operational parameters and their optimal ranges, thus enhancing the efficiency and reliability of BHP processes. The review also draws attention to the importance of life cycle and techno-economic analyses in assessing the environmental impact and economic viability of BHP, addressing potential challenges like high operating costs and energy demands during scale-up. Future research should focus on developing more efficient and cost-effective BHP systems, integrating advanced AI techniques for real-time optimization, and conducting comprehensive LCA and TEA to ensure sustainable and economically viable biohydrogen production. By addressing these areas, BHP can become a key component of the transition to sustainable energy sources, contributing to the reduction of greenhouse gas emissions and the mitigation of environmental impacts associated with fossil fuel use.</p>","PeriodicalId":102,"journal":{"name":"RSC Advances","volume":" 49","pages":" 36868-36885"},"PeriodicalIF":3.9000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11572884/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advancements in biohydrogen production – a comprehensive review of technologies, lifecycle analysis, and future scope\",\"authors\":\"Aarnav Hetan Sanghvi, Amarjith Manjoo, Prachi Rajput, Navya Mahajan, Natarajan Rajamohan and Iyman Abrar\",\"doi\":\"10.1039/D4RA06214K\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The global shift towards sustainable energy sources, necessitated by climate change concerns, has led to a critical review of biohydrogen production (BHP) processes and their potential as a solution to environmental challenges. This review evaluates the efficiency of various reactors used in BHP, focusing on operational parameters such as substrate type, pH, temperature, hydraulic retention time (HRT), and organic loading rate (OLR). The highest yield reported in batch, continuous, and membrane reactors was in the range of 29–40 L H<small><sub>2</sub></small>/L per day at an OLR of 22–120 g/L per day, HRT of 2–3 h and acidic range of 4–6, with the temperature maintained at 37 °C. The highest yield achieved was 208.3 L H<small><sub>2</sub></small>/L per day when sugar beet molasses was used as a substrate with <em>Clostridium</em> at an OLR of 850 g COD/L per day, pH of 4.4, and at 8 h HRT. The integration of artificial intelligence (AI) tools, such as artificial neural networks and support vector machines has emerged as a novel approach for optimizing reactor performance and predicting outcomes. These AI models help in identifying key operational parameters and their optimal ranges, thus enhancing the efficiency and reliability of BHP processes. The review also draws attention to the importance of life cycle and techno-economic analyses in assessing the environmental impact and economic viability of BHP, addressing potential challenges like high operating costs and energy demands during scale-up. Future research should focus on developing more efficient and cost-effective BHP systems, integrating advanced AI techniques for real-time optimization, and conducting comprehensive LCA and TEA to ensure sustainable and economically viable biohydrogen production. By addressing these areas, BHP can become a key component of the transition to sustainable energy sources, contributing to the reduction of greenhouse gas emissions and the mitigation of environmental impacts associated with fossil fuel use.</p>\",\"PeriodicalId\":102,\"journal\":{\"name\":\"RSC Advances\",\"volume\":\" 49\",\"pages\":\" 36868-36885\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11572884/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RSC Advances\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/ra/d4ra06214k\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RSC Advances","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/ra/d4ra06214k","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

由于气候变化的影响,全球都在向可持续能源转变,这促使人们对生物制氢(BHP)工艺及其作为环境挑战解决方案的潜力进行了深入研究。本综述评估了用于生物制氢的各种反应器的效率,重点关注基质类型、pH 值、温度、水力停留时间 (HRT) 和有机物负载率 (OLR) 等操作参数。据报道,在间歇式、连续式和膜反应器中,当 OLR 为 22-120 克/升/天、HRT 为 2-3 小时、酸性范围为 4-6 时,温度保持在 37 °C,最高产率为 29-40 升 H2/升/天。当甜菜糖浆与梭菌一起用作底物时,在 OLR 为每天 850 克 COD/升、pH 值为 4.4 和 HRT 为 8 小时的条件下,最高产量为每天 208.3 升 H2/L。人工智能(AI)工具(如人工神经网络和支持向量机)的集成已成为优化反应器性能和预测结果的一种新方法。这些人工智能模型有助于确定关键操作参数及其最佳范围,从而提高必和必拓工艺的效率和可靠性。本综述还提请注意生命周期和技术经济分析在评估必和必拓工艺的环境影响和经济可行性方面的重要性,以应对在放大过程中的高运营成本和能源需求等潜在挑战。未来的研究应侧重于开发更高效、更具成本效益的生物制氢系统,整合先进的人工智能技术进行实时优化,并开展全面的生命周期评估和技术经济评估,以确保生物制氢生产的可持续性和经济可行性。通过解决这些领域的问题,生物制氢可成为向可持续能源过渡的关键组成部分,为减少温室气体排放和减轻与化石燃料使用相关的环境影响做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Advancements in biohydrogen production – a comprehensive review of technologies, lifecycle analysis, and future scope

The global shift towards sustainable energy sources, necessitated by climate change concerns, has led to a critical review of biohydrogen production (BHP) processes and their potential as a solution to environmental challenges. This review evaluates the efficiency of various reactors used in BHP, focusing on operational parameters such as substrate type, pH, temperature, hydraulic retention time (HRT), and organic loading rate (OLR). The highest yield reported in batch, continuous, and membrane reactors was in the range of 29–40 L H2/L per day at an OLR of 22–120 g/L per day, HRT of 2–3 h and acidic range of 4–6, with the temperature maintained at 37 °C. The highest yield achieved was 208.3 L H2/L per day when sugar beet molasses was used as a substrate with Clostridium at an OLR of 850 g COD/L per day, pH of 4.4, and at 8 h HRT. The integration of artificial intelligence (AI) tools, such as artificial neural networks and support vector machines has emerged as a novel approach for optimizing reactor performance and predicting outcomes. These AI models help in identifying key operational parameters and their optimal ranges, thus enhancing the efficiency and reliability of BHP processes. The review also draws attention to the importance of life cycle and techno-economic analyses in assessing the environmental impact and economic viability of BHP, addressing potential challenges like high operating costs and energy demands during scale-up. Future research should focus on developing more efficient and cost-effective BHP systems, integrating advanced AI techniques for real-time optimization, and conducting comprehensive LCA and TEA to ensure sustainable and economically viable biohydrogen production. By addressing these areas, BHP can become a key component of the transition to sustainable energy sources, contributing to the reduction of greenhouse gas emissions and the mitigation of environmental impacts associated with fossil fuel use.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
期刊最新文献
Combining de novo molecular design with semiempirical protein–ligand binding free energy calculation† Characterization and enhanced carbon dioxide sensing performance of spin-coated Na- and Li-doped and Co-doped cobalt oxide thin films† Regulation of oxidative stress enzymes in Candida auris by Dermaseptin: potential implications for antifungal drug discovery Design of an LiF-rich interface layer using high-concentration fluoroethylene carbonate and lithium bis(fluorosulfonyl)imide (LiFSI) to stabilize Li metal batteries A catalytic approach for the dehydrogenative upgradation of crude glycerol to lactate and hydrogen generation†
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1