Anbarasu K, Thanigaivel S, Sathishkumar K, Alam Mohammed Mujahid, Al-Sehemi Abdullah G, Devarajan Yuvarajan
Department of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Thandalam, Chennai, Tamil Nadu 602 105, India.
Department of Biotechnology, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Bioresour Technol. 2025 Feb;418:131893. doi: 10.1016/j.biortech.2024.131893. Epub 2024 Nov 27.
Assessing the mutual benefits of artificial intelligence (AI) and bioenergy systems, to promote efficient and sustainable energy production. By addressing issues with conventional bioenergy techniques, it highlights how AI is revolutionising optimisation, waste reduction, and environmental sustainability. With its capacity for intelligent decision-making, predictive modelling, and adaptive controls to maximise bioenergy processes, artificial intelligence (AI) emerges as a crucial catalyst for overcoming these obstacles. The focus on particular uses of AI to enhance bioenergy systems. Algorithms for machine learning are essential for forecasting biomass properties, selecting feedstock optimally, and enhancing energy conversion procedures in general. Enhancing real-time adaptability and guaranteeing optimal performance under a range of operational conditions is made possible by the integration of AI-driven monitoring and control systems. Additionally, it looks at how AI supports precision farming methods in bioenergy settings, enhancing crop management strategies and increasing the output of biofuels. AI-guided autonomous systems help with precision planting, harvesting, and processing, which reduces resource use and maximises yield. AI's contribution to advanced biofuel technology by using data analytics and computational models, it can hasten the creation of new, more effective bioenergy sources. AI-driven grid management advancements could guarantee the smooth integration of bioenergy into current energy infrastructures. The revolutionary role that artificial intelligence (AI) has played in bioenergy systems, making a strong case for the incorporation of AI technologies to drive the global energy transition towards a more ecologically conscious and sustainable future.
评估人工智能（AI）与生物能源系统的互利之处，以促进高效和可持续的能源生产。通过解决传统生物能源技术存在的问题，它突出了人工智能如何正在彻底改变优化、减少浪费和环境可持续性。凭借其智能决策、预测建模和自适应控制能力以最大化生物能源过程，人工智能成为克服这些障碍的关键催化剂。重点关注人工智能在增强生物能源系统方面的特定用途。机器学习算法对于预测生物质特性、优化选择原料以及总体上增强能量转换过程至关重要。人工智能驱动的监测和控制系统的集成使得提高实时适应性并确保在一系列运行条件下的最佳性能成为可能。此外，它探讨了人工智能如何在生物能源环境中支持精准农业方法，加强作物管理策略并提高生物燃料产量。人工智能引导的自主系统有助于精准种植、收获和加工，从而减少资源使用并最大化产量。人工智能通过使用数据分析和计算模型对先进生物燃料技术的贡献，它可以加速新型、更高效生物能源的开发。人工智能驱动的电网管理进步可以确保生物能源顺利融入当前能源基础设施。人工智能在生物能源系统中所发挥的变革性作用，有力地证明了采用人工智能技术以推动全球能源转型迈向更具生态意识和可持续的未来。
