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生物生产的进步 - - 一个全面的技术审查,生命周期分析和未来的应用范围
Aarnav Hetan Sanghvi1, Amarjith Manjoo2, Prachi Rajput2
1Department of Electrical & Electronics Engineering, Birla Institute of Technology and Science, Pilani - Hyderabad Campus Shameerpet Hyderabad Telangana-500078 India.
RSC advances
|November 19, 2024
概括
生物生产 (BHP) 提供了一个可持续的能源解决方案,具有优化的反应堆条件和人工智能 (AI) 提高产量. 进一步研究成本效益和人工智能集成对于其可行性至关重要.
科学领域:
- 生物技术和生物工程 生物技术和生物工程
- 可持续能源 可持续能源
- 环境科学 环境科学
背景情况:
- 全球能源格局正因气候变化而转向可持续能源.
- 生物生产 (BHP) 被探索为一个有前途的可再生能源技术.
- 优化BHP流程对于其环境和经济可行性至关重要.
研究的目的:
- 审查和评估各种生物生产反应堆的效率.
- 确定影响生物产量的关键操作参数.
- 探索人工智能 (AI) 在优化 BHP 的作用.
主要方法:
- 对生物生产反应堆 (批量,连续,膜) 现有文献的审查.
- 运行参数的分析:基质,pH,温度,HRT,OLR.
- 对AI应用程序 (ANNs,SVM) 进行性能优化的研究.
主要成果:
- 在特定条件下 (OLR 22-120 g/L/day,HRT 2-3 h,pH 4-6,37 °C) 报告的最佳产量在29-40 L H2/L/day范围内.
- 使用含有Clostridium的甜菜糖蜜 (OLR 850g COD/L/day,pH 4.4,8小时HRT) 实现了208.3 L H2/L/day的特殊产量.
- 人工智能工具显示了提高反应堆效率和预测结果的潜力.
结论:
- 通过仔细控制操作参数和基板选择,可以显著优化BHP过程.
- 人工智能集成提供了一种新的方法来提高BHP的效率和可靠性.
- 生命周期和技术经济分析对于评估扩大的BHP系统的可持续性和经济可行性至关重要.
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