ADM1,

Yanxin Liu1, Ying Jiang2, Nasreen Nasar2

  • 1Faculty of Engineering and Applied Sciences, Cranfield University, College Road, Cranfield, MK43 0AL, UK; Faculty of Environment, Science and Economy, University of Exeter, Stocker Road, Exeter, EX4 4PY, UK.

概括

本研究引入了贝叶斯框架,用于校准无氧消化模型No.1 (ADM1) 使用有限的初始数据. 这种方法提高了无氧消化器性能预测和优化,特别是在数据稀缺的环境中.

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