Suppr超能文献

超声预处理果蔬废弃物厌氧消化产沼气的模型研究

Modeling of the biomethane production from ultrasonic pretreated fruit and vegetable waste anaerobic digestion.

作者信息

Matobole Kgomotso, Seodigeng Tumisang, Banza Musamba, Rutto Hilary

机构信息

Department of Chemical and Metallurgical Engineering, Vaal University of Technology, Vanderbijlpark, South Africa.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2024;59(10):513-522. doi: 10.1080/10934529.2024.2431399. Epub 2024 Dec 13.

Abstract

The global dependency on the depleted fossil fuels has led to the quest for acquiring alternative energy sources. Different types of waste material are generated at a high rate and tapping into their use for greener, alternative energy production is an option. The mesophilic anaerobic co-digestion of fruit and vegetable waste and wastewater treatment plant sewage sludge experiments were conducted using ultrasonic pretreated substrates. Sonication exposure times from 0 to 45 min were selected for the experiments. An automatic methane potential test system (BMP) was used to determine the production rate of biomethane of the fruit and vegetables waste containing 60% fruit and 40% vegetables. The highest cumulative methane production of 238 mL g VS was achieved at sonication time exposure of 45 min. It was observed that an increase in ultrasonic sonication exposure time, improved methane yield. The resulting experimental data was fitted with the modified Gompertz, co-digestion modified Gompertz, original Richards, modified Richards and co-digestion modified Richards models. IBM SPSS Statistics software was used for curve fitting and the estimation of the models' kinetic parameters. The modified Gompertz and Richards models showed higher goodness fit, both with of 0.93 and modified Richards models did not produce a good fit for the data, with of 0.7. The developed co-digestion models considered a combination of substrates that were easily digested as well as complex substrates that required multiple steps of digestion. The results show that the co-digestion modified Gompertz model had a goodness of fit of 0.98. Co-digestion modified Richard's model perfectly fit the experimental data, with of 1. Both the co-digestion modified models are recommended due to their fitting performance. Fruit and vegetable waste comprise multiple substrates including simple sugars that digest readily and much more complex cellulose substrates that require more steps to digest and requiring the second step of digestion after undergoing hydrolysis. Both models took that into account. The aim of this study was to evaluate the suitability of the Gompertz and Richards model in the co-digestion of fruit and vegetables waste with sludge, as well as to develop co-digestion models for the substrates at hand.

摘要

全球对日益枯竭的化石燃料的依赖促使人们寻求替代能源。不同类型的废料大量产生,利用这些废料生产更环保的替代能源是一种选择。本实验采用超声预处理的底物,对水果和蔬菜废弃物与污水处理厂污泥进行中温厌氧共消化。实验选择了0至45分钟的超声暴露时间。使用自动甲烷潜力测试系统(BMP)来测定含有60%水果和40%蔬菜的水果和蔬菜废弃物的生物甲烷产率。在45分钟的超声暴露时间下,实现了最高累积甲烷产量238 mL/g VS。观察到超声暴露时间的增加提高了甲烷产量。将所得实验数据与修正的Gompertz模型、共消化修正的Gompertz模型、原始Richards模型、修正的Richards模型和共消化修正的Richards模型进行拟合。使用IBM SPSS Statistics软件进行曲线拟合和模型动力学参数估计。修正的Gompertz模型和Richards模型拟合优度较高,均为0.93,而修正的Richards模型对数据拟合效果不佳,为0.7。所开发的共消化模型考虑了易于消化的底物以及需要多步消化的复杂底物的组合。结果表明,共消化修正的Gompertz模型拟合优度为0.98。共消化修正的Richards模型完美拟合实验数据,为1。由于其拟合性能,推荐使用这两种共消化修正模型。水果和蔬菜废弃物包含多种底物,包括易于消化的单糖以及需要更多步骤消化且在水解后需要第二步消化的更复杂的纤维素底物。这两种模型都考虑到了这一点。本研究的目的是评估Gompertz模型和Richards模型在水果和蔬菜废弃物与污泥共消化中的适用性,以及为现有底物开发共消化模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验