Bio-drying of solid waste is a complex process that involves anoxic hydrolysis, aerobic oxidation, evaporation, absorption, and condensation. To understand the interaction between different variables (concentration of volatile matter, moisture, microbial biomass, and temperature) and to predict the system performance, a powerful tool is necessary for improved drying rates. Hence, a mathematical model of mass balances of the batch bio-drying of municipal solid waste (MSW), associated with rate equations of evaporation of moisture from the waste matrix and absorption of leachate on absorbents is developed which is the novelty of the present study. This model integrates 18 first-order differential equations based on process kinetics for mass balances of components in the solid, liquid, and gas phases, comprising the specific degradability of food, paper, and inert material of the MSW. The proposed model is simulated using MATLAB ode15s solver and validated with experimental data from the pilot-scale bio-drying reactor. The model predicted values are in good agreement with experimental values with a deviation of ±10%.

固体废物的生物干燥是一个复杂的过程，涉及缺氧水解、好氧氧化、蒸发、吸收和冷凝。要了解不同变量（挥发性物质浓度、水分、微生物生物量和温度）之间的相互作用并预测系统性能，需要一个强大的工具来提高干燥速率。因此，开发了城市固体废物（MSW）分批生物干燥质量平衡的数学模型，与废物基质中水分蒸发和吸收剂吸收渗滤液的速率方程相关，这是本研究的新颖之处. 该模型集成了 18 个基于过程动力学的一阶微分方程，用于固相、液相和气相组分的质量平衡，包括食品的特定降解性，纸和 MSW 的惰性材料。所提出的模型使用 MATLAB ode15s 求解器进行模拟，并使用来自中试规模生物干燥反应器的实验数据进行验证。模型预测值与实验值吻合良好，偏差为±10%。