先进的堆肥模拟技术:对方法框架和应用的系统审查.
Ming-Xiao Li1, Ning Wang1, Yuan-Yuan Xie2
1State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, PR China.
Journal of environmental management
|January 21, 2026
概括
像反应动力学,CFD模拟和机器学习等计算方法可以提高堆肥效率. 本综述分析了这些技术,以优化有机废物管理和推进循环经济目标.
科学领域:
- 环境工程 环境工程
- 生物化学工程 生物化学工程
- 计算科学 计算科学
背景情况:
- 传统的堆肥系统由于复杂的基质和非线性生物化学动态而存在技术限制,导致效率不稳定.
- 计算方法为优化堆肥系统和提高性能提供先进的过程模拟.
- 有机废物管理需要提高效率和环境可持续性.
研究的目的:
- 批判性地分析堆肥系统的模拟方法.
- 为了比较反应动力学建模,计算流体动力学 (CFD) 和机器学习方法.
- 澄清这些模拟方法的定位,界限和跨学科整合.
主要方法:
- 对模拟方法的全面批判性分析.
- 对反应动力学建模,多相CFD模拟和机器学习的审查.
- 检查每个方法的理论基础,优势和局限性.
主要成果:
- 反应运动模型提供了机械解释性.
- 差价合约模拟提供了多物理场的表示.
- 机器学习在数据驱动的建模中表现出色.
- 每种方法都有不同的适用性和建模逻辑.
结论:
- 先进的模拟技术有望优化有机废物管理和资源效率.
- 未来的研究方向包括多物理合建模和数字双胞胎架构.
- 本次审查支持工业堆肥的精确控制,以实现智能废物处理和循环经济的目标.
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