This work aimed at developing a mathematical model to predict the energy potential of biogas and sludge produced in a UASB reactors (from 1000 up to 1 million inhabitants). The model was developed based on Monte Carlo simulation to estimate the energy potential of these by-products in three scenarios that correspond to different sewage and sludge characteristics. Also, in order to determine the energy potential of the sludge, low and high solid contents of mechanically dehydrated sludges were considered. For a typical scenario the energy production of the by-products at Sewage Treatment Plants (STPs) operated with UASB reactors ranged from 1.55 to 3.50 MJ m−3 sewage and 1.53 to 3.32 MJ m−3 sewage for high solid content (HSC) and low solid content (LSC), respectively. The biogas potential corresponds to at least 91.0% and 96.0% of the total by-products energy for HSC and LSC, respectively, being the main by-product in terms of energy in UASB-based STPs. The linear regression between the variables Population—inhab (axis y) and By-products energy potential—MJ d−1 (axis x) for dehydrated sludge with HSC and LSC were y = 0.4004x (R2 = 0.93) and y = 0.3821x (R2 = 0.92), respectively. Significant linear regression coefficients and fit to monitored data indicate that the model can be used to estimate the energy potential of the by-products (biogas and sludge) generated in UASB reactors.

中文翻译：

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预测基于UASB的污水处理厂能源潜力​​的数学模型

这项工作旨在开发一个数学模型来预测 UASB 反应器（从 1000 到 100 万居民）中产生的沼气和污泥的能源潜力。该模型是基于蒙特卡罗模拟开发的，用于估计对应于不同污水和污泥特性的三种场景中这些副产品的能源潜力。此外，为了确定污泥的能量潜力，考虑了机械脱水污泥的低固体含量和高固体含量。对于典型情况，使用 UASB 反应器运行的污水处理厂 (STP) 的副产品能源生产范围为 1.55 至 3.50 MJ m-3 污水和 1.53 至 3.32 MJ m-3 污水，用于高固体含量 (HSC) 和低固含量（LSC）。沼气潜力至少对应于 91.0% 和 96。HSC 和 LSC 的总副产品能量分别为 0%，是基于 UASB 的 STP 中能源的主要副产品。对于具有 HSC 和 LSC 的脱水污泥，变量群体—居住（y 轴）和副产品能量潜力—MJ d-1（x 轴）之间的线性回归为 y = 0.4004x (R2 = 0.93) 和 y = 0.3821x (R2 = 0.92)，分别。显着的线性回归系数和对监测数据的拟合表明该模型可用于估计 UASB 反应器中产生的副产品（沼气和污泥）的能源潜力。93) 和 y = 0.3821x (R2 = 0.92)，分别。显着的线性回归系数和对监测数据的拟合表明该模型可用于估计 UASB 反应器中产生的副产品（沼气和污泥）的能源潜力。93) 和 y = 0.3821x (R2 = 0.92)，分别。显着的线性回归系数和对监测数据的拟合表明该模型可用于估计 UASB 反应器中产生的副产品（沼气和污泥）的能源潜力。