我国褐煤资源保有储量大，由于水分高、能量密度低，严重制约褐煤的有效利用，脱水提质成为褐煤高效利用的前提和关键环节。现有褐煤脱水技术能耗高、效率低，提高脱水单元操作能效迫在眉睫。褐煤非线性物性特征与固定单一化能量输入的矛盾是造成脱水高能耗的主要原因，本项目将围绕低能耗驱动的褐煤脱水过程双尺度热质传递机制和褐煤脱水过程多参数关联能量场的协同机制与能量梯级优化两个关键科学问题开展研究。以物性认知—模型构建—过程强化—能效判别—梯级优化为研究思路，从构建颗粒/干燥器双尺度热质传递模型入手，揭示褐煤脱水过程能量输运机制和湿分迁移规律；探究脱水过程中褐煤非线性物性变化特征，调控脱水不同阶段速率控制步骤，通过多参数关联能量场间的协同作用实现过程强化；进行基于能效判别的多参数能量场关联设计，构建适于脱水过程物性变化特征的非均衡脱水过程。本项目研究对褐煤高效脱水研究具有重要理论价值。

There are rich lignite reserves in China, and they are of high moisture content and low calorific value, leading to the limited and low efficiency use, so dehydration and upgrading is necessary for the efficient utilization. The main reason of the high energy consumption is that the collocation between the nonlinear properties of lignite and fixed energy input is not effective. Our project focuses on low-energy-driven multi-scale heat and mass transfer mechanisms and coordination mechanism stepwise optimization of multivariate related field in the dehydration process. The research route is: physical cognition, model, process intensification, energy efficiency valuation and stepwise optimization. By building particles/drier multi-scale heat and mass transfer model, energy transport and moisture migration mechanism will be well revealed. And then we plan to explore the lignite nonlinear properties in the dehydration process to implement process intensification and energy efficiency optimization through the synergy and related design of multiple variables related field. Finally, non-equilibrium dehydration process with low-energy-driven stepwise energy optimization will be built. This project will be theoretical valuable for the research of efficient lignite dehydration process.