为可持续生物能源利用人工智能:彻底改变优化,减少废物和环境可持续性
K Anbarasu1, S Thanigaivel2, K Sathishkumar3
1Department of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Thandalam, Chennai, Tamil Nadu 602 105, India.
Bioresource technology
|November 28, 2024
概括
人工智能 (AI) 通过优化流程,减少浪费和提高可持续性来增强生物能源系统. 人工智能集成推动了原料选择,能源转化和精准农业的高效性,用于先进的生物燃料.
科学领域:
- 生物技术和生物能源系统
- 人工智能应用程序 人工智能应用程序
背景情况:
- 传统的生物能源技术在效率和可持续性方面面临挑战.
- 人工智能 (AI) 为生物能源中优化,减少废物和减轻环境影响提供了解决方案.
研究的目的:
- 评估人工智能和生物能源系统对可持续能源生产的协同效益.
- 通过智能决策和自适应控制来突出AI在克服生物能源挑战方面的变革性作用.
主要方法:
- 利用机器学习算法进行生物质性质预测,原料选择和能源转化优化.
- 实施人工智能驱动的监控和控制系统,以实现实时的适应性和性能提升.
- 将人工智能应用于精准农业,以提高作物管理和生物燃料产量最大化.
主要成果:
- 人工智能显著提高了生物能源过程效率,原料利用率和能量转换率.
- 由人工智能驱动的精密农业可以提高生物燃料作物的产量,并减少资源消耗.
- 人工智能加速了新型生物能源的开发,并促进了电网整合.
结论:
- 人工智能是彻底改变生物能源系统和促进可持续能源生产的关键催化剂.
- 整合人工智能技术对于推动全球能源转型向更绿色的未来至关重要.
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