torrefaction

Guangcan Su1, Peng Jiang2

  • 1Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia; Centre for Energy Sciences, University of Malaya, Kuala Lumpur 50603, Malaysia.

PubMed
概括

机器学习模型准确地预测了来自纤维素生物质 torrefaction 的生物炭特性. 优化的模型确定了温度和烧烤条件作为影响生物炭产量和质量的关键因素.