无氧消化过程链的综合建模用于场景评估
M Pérémé1, J-P Steyer2, F Béline3
1INRAE, Univ Montpellier, LBE, Narbonne, France; L'institut Agro, Montpellier, France.
Bioresource technology
|March 9, 2025
概括
本研究介绍了一种创新的无氧消化过程链 (ADPC) 模型,以优化可再生能源生产和营养管理. 该模型准确地预测了生物气和土壤的动态,有助于可持续的农业实践.
科学领域:
- 环境科学 环境科学
- 农业工程 农业工程
- 可再生能源系统可再生能源系统
背景情况:
- 无氧消化 (AD) 是一个重要的可再生能源,具有环境效益,包括减少肥料使用和保存土壤有机物质.
- 然而,低于最佳的AD性能可能会导致温室气体排放和营养损失,降低其效率.
- 精确的建模对于优化AD过程和最大限度地提高其环境和能源效益至关重要.
研究的目的:
- 开发和评估一种创新的无氧消化过程链 (ADPC) 模型,用于动态模拟AD过程.
- 评估模型在预测生物气产量,有机物生物可访问性,消化物管理和土壤碳/动态方面的准确性.
- 突出动态建模对于场景测试在AD的能源和农业应用中的重要性.
主要方法:
- 开发一个动态的ADPC模型,模拟生气生产,有机物生物可访问性,消化分离,储存和土壤应用.
- 专注于整个AD过程链中的碳和动态.
- 模型验证与五个实验室规模的实验和土壤C/N动态没有特定的校准.
主要成果:
- ADPC模型准确地复制了生物气生产趋势 (偏差:11%) 和土壤动态 (r2:0.78).
- 在消化碳物种化和土壤碳动态中观察到的差异表明需要对原料参数进行校准.
- 原料季节性场景强调了动态建模用于预测消化物命运的价值.
结论:
- 开发的ADPC模型是无氧消化场景测试的宝贵工具,考虑到能源和农业价值.
- 准确模拟AD过程需要对原料的生物降解性和水解参数进行仔细校准.
- 动态建模对于优化AD系统和确保可持续的营养和能源管理至关重要.
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