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Sustainable utilization of post-extraction residual biomass for solid biofuel production 提取后剩余生物质用于固体生物燃料生产的可持续利用
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-07-20 DOI: 10.1016/j.sajce.2025.07.008
Diana Kindzera , Viktoria Kochubei , Roman Hosovskyi
Post-extraction residual biomass, a by-product produced on an industrial scale following ethanol-water extraction of pelargonium (Pelargonium sidoides) tuberous roots, has been evaluated as a potential feedstock for solid biofuel production. To reduce the moisture content of biomass, the energy-efficient filtration drying method was used and pelargonium root (PR) test samples were prepared from the dried material. Comprehensive thermal analysis revealed that the thermal decomposition of the PR test samples occurred in four distinct stages, each characterized by specific temperature ranges and corresponding mass losses. The calorific value of the PR sample, determined via bomb calorimetry, was 19.3 MJ/kg. Considering the fixed carbon content of 20.6 %, the volatile matter content of 62.3 %, along with a favorable ash composition, but slightly elevated ash content of 5.1 wt.%, the dried post-extraction pelargonium root residual biomass can be recommended as feedstock for solid biofuel production when mixed with wood biomass.
提取后的残余生物质是在工业规模上乙醇-水提取天竺葵块根后产生的副产品,已被评估为固体生物燃料生产的潜在原料。为了降低生物质的含水率,采用节能过滤干燥法,将干燥后的原料制成天竺根(PR)试验样品。综合热分析表明,PR试样的热分解分为四个不同的阶段,每个阶段都有特定的温度范围和相应的质量损失。通过弹量热法测定PR样品的热值为19.3 MJ/kg。考虑到固定碳含量为20.6%,挥发物含量为62.3%,以及良好的灰分组成,但灰分含量略高5.1 wt.%,提取后干燥的天竺草根残生物量与木材生物质混合可推荐作为固体生物燃料生产的原料。
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引用次数: 0
Life cycle assessment of facile applicable biodiesel production 简易适用生物柴油生产的生命周期评估
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-08-18 DOI: 10.1016/j.sajce.2025.08.011
Mohamed A. Hanafy , Rehab M. Ali , Abdallah S. Elgharbawy , Ahmed I. Osman , Mohamed A. Farrag , Abdulaziz H. Al-Anazi
Biodiesel is crucial for mitigating fossil fuel depletion and reducing environmental impacts. Herein, this approach represents a life cycle assessment (LCA) of biodiesel production from waste cooking oil (WCO) utilizing potassium carbonate (K2CO3) as a heterogeneous catalyst instead of potassium hydroxide (KOH), which is the most used catalyst in industry. However, KOH requires a 20% methanol and a 66% reaction time, higher than K2CO3. Besides, KOH is used once, and produces impure biodiesel and glycerol. While K2CO3 can be used, recovered and reused twice, which decreases the net required catalyst amount without a significant decrease in biodiesel production yield, decreases the environmental burdens, and produces purer products. When using WCO or high free fatty acid (FFA) oils, K2CO3 has the advantage of effective direct transesterification, while KOH requires post-treatment process (esterification), which means extra usage of methanol besides the acid catalyst, which is commonly H2SO4, to decrease the FFA content and avoid the saponification reaction. Therefore, this research aims to quantify the environmental burdens of biodiesel production and compare the performance of K2CO3 with that of conventional KOH. Using the ReCiPe method in SimaPro 9.5 software, the LCA adheres to ISO 14040 and 14044 standards. Key findings indicate significant impacts in climate change (0.274 kg CO2,eq), human non-carcinogenic toxicity (0.12 kg 14-DCBeq), terrestrial ecotoxicity (0.536 kg 14-DCBeq), and fossil resource scarcity (0.183 kg oileq). Methanol and K2CO3 are identified as major contributors to environmental burdens. In contrast, KOH demonstrates a less environmental impact compared to K2CO3. The economic study revealed that, for producing 250 thousand tons of biodiesel per year, the total CAPEX needed to build up the plant is around 12 M$ for both catalysts. The results proved that using K2CO3 leads to higher net profits. The study revealed that the biodiesel plant would achieve a remarkable net profit using any type of catalyst, with an advantageous economic indicator for K2CO3 over KOH, proving the high profitability of using K2CO3 as a catalyst.
生物柴油对于缓解化石燃料枯竭和减少环境影响至关重要。在此,该方法代表了从废食用油(WCO)生产生物柴油的生命周期评估(LCA),利用碳酸钾(K2CO3)作为非均相催化剂,而不是氢氧化钾(KOH),氢氧化钾是工业上最常用的催化剂。然而,KOH需要20%的甲醇和66%的反应时间,比K2CO3高。此外,KOH是一次性使用的,产生不纯的生物柴油和甘油。而K2CO3可以二次使用、回收和重复使用,在不显著降低生物柴油产量的情况下,减少了催化剂的净用量,减轻了环境负担,生产出更纯净的产品。当使用WCO或高游离脂肪酸(FFA)油时,K2CO3具有有效的直接酯交换的优势,而KOH则需要后处理(酯化),这意味着除了酸性催化剂(通常为H2SO4)外,还需要额外使用甲醇来降低FFA含量,避免皂化反应。因此,本研究旨在量化生物柴油生产的环境负担,并比较K2CO3与常规KOH的性能。使用SimaPro 9.5软件中的ReCiPe方法,LCA符合ISO 14040和14044标准。主要研究结果表明,气候变化(0.274 kg CO2,eq)、人类非致癌毒性(0.12 kg 14-DCBeq)、陆地生态毒性(0.536 kg 14-DCBeq)和化石资源稀缺(0.183 kg oileq)具有显著影响。甲醇和K2CO3被认为是造成环境负担的主要因素。相比之下,与K2CO3相比,KOH对环境的影响较小。经济研究显示,为了每年生产25万吨生物柴油,建立工厂所需的总资本支出约为1200万美元,用于两种催化剂。结果证明,使用K2CO3可以带来更高的净利润。研究表明,使用任何类型的催化剂,生物柴油装置都能获得显著的净利润,其中K2CO3的经济指标优于KOH,证明了使用K2CO3作为催化剂的高盈利能力。
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引用次数: 0
Investigation of toluene alkylation with hept-1-ene over fresh and modified h-beta catalysts according to apparent activation energy values 根据表观活化能研究新鲜和改性h- β催化剂上甲苯与庚-1-烯的烷基化反应
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-07-28 DOI: 10.1016/j.sajce.2025.07.010
Ali Al-Shathr , Bashir Y. Al-Zaidi , Safa Aal-Kaeb , Zaidoon M. Shakor , Hasan Sh. Majdi , May A. Alsaffar , Muhannad A.E. Al-Saedy , Ahmed Majeed Jassem , Ramzy S. Hamied , Firas K. Al-Zuhairi , Adnan A. AbdulRazak , Talib M. Albayati , James McGregor
This work has demonstrated improved conversion and selectivity and reduced coking in the alkylation of toluene with hept‑1-ene to linear alkyl methyl benzenes over onto H-beta (Si/Al = 367), desilicated H-beta (Si/Al = 231) and dealuminated H-beta (Si/Al = 563) zeolite catalysts. Additionally, kinetic modelling provided support for the proposed reaction mechanism, facilitating the design of improved catalysts for this reaction. The production of linear alkyl methyl benzenes is of critical import in the manufacture of detergents, a rapidly growing sector globally, however currently processes are limited by catalyst deactivation as a result of coke deposition. The properties of the parent and modified catalysts were analysed using XRD, FTIR, SEM, ICP-AES, TGA, and BET surface area. The results indicate that both types of catalysts whose structural framework was modified via acid or base leaching treatment techniques had improved catalytic activity, leading to an enhancement in the conversion and selectivity towards double-bond isomerisation and alkylation products. In addition, the experimental results were fitted using a reaction scheme consisting of seven components and thirteen reactions. Nonlinear optimization (genetic algorithm technique) with numerical integration (4th order Runge-Kutta) was utilized to predict the kinetic parameters, while Matlab 2021a software was used to perform all computation. The mean relative errors (MRE) values ​​estimated from comparing experimental and model-predicted outcome data showed remarkable agreement.
这项工作证明了在h - β (Si/Al = 367)、脱硅h - β (Si/Al = 231)和脱铝h - β (Si/Al = 563)沸石催化剂上,甲苯与辛- 1-烯烷基化成线性烷基甲基苯的转化率和选择性得到改善,并减少了结焦。此外,动力学模型为所提出的反应机理提供了支持,促进了该反应的改进催化剂的设计。线性烷基甲基苯的生产对全球快速增长的洗涤剂制造业至关重要,但目前由于焦炭沉积导致催化剂失活,生产过程受到限制。采用XRD、FTIR、SEM、ICP-AES、TGA和BET比表面积等方法对母催化剂和改性催化剂的性能进行了分析。结果表明,通过酸浸或碱浸处理技术对两种类型的催化剂进行结构框架改性后,其催化活性都有所提高,导致双键异构化和烷基化产物的转化率和选择性增强。另外,用7组分13个反应的反应方案拟合了实验结果。采用非线性优化(遗传算法技术)和数值积分(四阶龙格-库塔)预测动力学参数,并采用Matlab 2021a软件进行全部计算。通过比较实验和模型预测结果数据估计的平均相对误差(MRE)值显示出显著的一致性。
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引用次数: 0
Water hyacinth derived activated carbon electrode materials for water defluoridation using capacitive deionization technology 水葫芦衍生的电容去离子水除氟活性炭电极材料
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-08-23 DOI: 10.1016/j.sajce.2025.08.013
Hassan Johnson Kalilo , Joyce Elisadiki , Maheswara Rao Vegi , Said Ali Hamad Vuai
Safe water is a vital component of human life that requires purification to reduce the concentration of ionic pollutants using appropriate water treatment techniques, such as capacitive deionization (CDI) water treatment technology. The porous activated carbon electrode materials have prepared via the carbonization of water hyacinth plants followed by chemical activation using KOH at different temperatures (400-700°C with an increment of 100°C) labeled as CWH-400, WHAC-500, WHAC-600 and WHAC-700 all being activated for 1 h where CWH represents carbonized water hyacinths and WHAC represents water hyacinths activated carbon. The activation temperature has a significant effect on the specific surface area of the porous carbon prepared, as it increases from 464.67 m²/g for CWH-400 to 1020.01 m²/g for WHAC-700. The defluoridation experiments were done using water samples with initial fluoride concentrations of 4.21, 4.61 and 3.51 mg/L for water samples from Arusha (A), Manyara (B) and Shinyanga (C) respectively when the 2 V was supplied to the cell with 10 mL/min flow rate at 3 hours charging time. The defluoridation results were 1.28, 1.37, and 1.15 mg/L for water samples A, B, and C, respectively. The WHAC-700 electrode was found to possess a capacitance of 501.89 F/g, exhibiting removal efficiencies of 69.60%, 70.28%, and 67.24% for water samples from Arusha (A), Manyara (B), and Shinyanga (C), respectively, at a potential of 2 V with a charging time of 3 hours. Therefore, the water hyacinth plants are suitable precursors for preparing porous activated carbon electrodes to be used in a CDI cell for the defluoridation of any water sample.
安全水是人类生活的重要组成部分,需要使用适当的水处理技术进行净化,以降低离子污染物的浓度,例如电容性去离子(CDI)水处理技术。通过将水葫芦炭化,然后在不同温度(400-700℃,增加100℃)下用KOH进行化学活化制备多孔活性炭电极材料,标记为CWH-400, WHAC-500, WHAC-600和WHAC-700,其中CWH代表炭化水葫芦,WHAC代表水葫芦活性炭。活化温度对制备的多孔碳的比表面积有显著影响,从CWH-400的464.67 m²/g增加到WHAC-700的1020.01 m²/g。分别在Arusha (A)、Manyara (B)和Shinyanga (C)的水样中进行初始氟浓度为4.21、4.61和3.51 mg/L的除氟实验,以10 mL/min的流量向电池供电2 V,充电3小时。水样A、水样B、水样C的除氟结果分别为1.28、1.37、1.15 mg/L。WHAC-700电极的电容为501.89 F/g,对阿鲁沙(a)、Manyara (B)和Shinyanga (C)水样的去除率分别为69.60%、70.28%和67.24%,充电时间为3小时。因此,水葫芦植物是制备多孔活性炭电极的合适前体,用于CDI电池中用于任何水样的除氟。
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引用次数: 0
Eco-friendly synthesis, characterization of silver-doped manganese oxide nanocomposites using Rumex Nervosus Vahl leaf extract and its antibacterial activity 生态友好型合成、银掺杂氧化锰纳米复合材料及其抑菌活性研究
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-09-10 DOI: 10.1016/j.sajce.2025.09.006
Mihret Kendie, Bidir Kassaw, Tadesse Bizuayehu
The alarming escalation of multidrug-resistant bacteria represents a critical global health challenge, demanding innovative antimicrobial solutions. Silver manganese oxide (Ag–MnO) nanocomposites were biosynthesized from silver nitrate and manganese sulphate using an eco-friendly and cost-effective method, assisted by hydroalcoholic leaf extract of Rumex Nervosus Vahl. The successful synthesis of Ag-MnO nanocomposites was confirmed using spectroscopic (UV–Vis and FT–IR), structural (XRD), and thermal (TGA/DTA) analyses. The surface plasmon resonance peak observed at 402.89 nm from UV–Viss afirms the formation of Ag–MnO nanocomposites. In FT-IR spectral shift indicates the effective chelating ability of the plant extract for the synthesizing of Ag–MnO nanocomposites. XRD analysis revealed an average crystallite size of 29.73 nm, confirming the material’s nanoscale crystalline nature, and the TGA/DTA analysis confirmed that the synthesized nanocomposites were stable at high temperatures. The nanocomposites showed notable antibacterial activity, with a greater effect against Gram-negative than Gram-positive bacteria, as demonstrated by the disc diffusion method. These results indicate that Ag–MnO nanocomposites hold strong potential as alternative agents for combating drug-resistant infections, with promising applications in biomedical and pharmaceutical fields.
耐多药细菌的惊人升级是一项重大的全球卫生挑战,需要创新的抗微生物解决方案。摘要以硝酸银和硫酸锰为原料,利用水醇提取物合成了氧化锰银纳米复合材料。通过光谱分析(UV-Vis和FT-IR)、结构分析(XRD)和热分析(TGA/DTA)证实了Ag-MnO纳米复合材料的成功合成。紫外-可见光谱在402.89 nm处观察到表面等离子体共振峰,证实了Ag-MnO纳米复合材料的形成。FT-IR光谱位移表明植物提取物对Ag-MnO纳米复合材料的有效螯合能力。XRD分析显示平均晶粒尺寸为29.73 nm,证实了材料的纳米级结晶性质,TGA/DTA分析证实了合成的纳米复合材料在高温下是稳定的。结果表明,纳米复合材料对革兰氏阴性菌的抑菌效果优于革兰氏阳性菌。这些结果表明Ag-MnO纳米复合材料作为抗耐药感染的替代药物具有很强的潜力,在生物医学和制药领域具有广阔的应用前景。
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引用次数: 0
Magnetohydrodynamic double diffusive mixed convection of power-law non-Newtonian hybrid nanofluid in rotating eccentric annuli with different positions of inner cylinder 幂律非牛顿杂化纳米流体在不同内筒位置旋转偏心环空中的磁流体动力学双扩散混合对流
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-09-27 DOI: 10.1016/j.sajce.2025.09.011
Israt Jahan Supti, Md. Zahangir Hossain, Md. Mamun Molla
The study numerically analyzes magnetohydrodynamic (MHD) double-diffusive mixed convection in a rotating eccentric annulus filled with a non-Newtonian power-law hybrid nanofluid consisting of Al2O3 and Fe3O4 nanoparticles suspended in water, considering various placements of the inner cylinder. The study utilizes the Galerkin weighted residual finite element method (GFEM) for the analysis. In this structure, the nanofluid fills the gap between the cylinders, keeping the outside circle of the geometry cold and the inner circle hot. In this structure, the nanofluid fills the gap between the cylinders, keeping the outside circle of the geometry cold and the inner circle hot. This study explores the effects of multiple governing parameters, including a power-law index varying between 0.7 and 1.3, nanoparticle concentrations from 0% to 2%, Hartmann numbers between 0 and 30, and buoyancy ratios ranging from −1 to 1. The analysis also considers Reynolds numbers in the range of 200 to 600, Richardson numbers from 0 to 5, Lewis numbers between 1 and 10, and angular velocity between −20 and 20 while maintaining a constant Prandtl number of 6.8377. In addition, heat and mass transfer rates are evaluated in terms of Nusselt and Sherwood numbers, and visualizations such as streamlines, isotherms, and concentration contours are presented. The heat and mass transfer rates remain nearly unchanged regardless of whether the inner cylinder rotates clockwise or counterclockwise. The results show that the heat and mass transfer rates remain nearly unchanged regardless of whether the inner cylinder rotates clockwise or counterclockwise. An increase in the Hartmann number leads to an enhancement in heat transfer, while it simultaneously reduces the mass transfer rate. On the other hand, a higher power-law index results in a decline in both heat and mass transfer rates. Conversely, a rise in the buoyancy ratio contributes to the enhancement of both thermal and mass transport. The novelty of this study is how varying angular velocities (positive and negative) influence heat and mass transport in a power-law non-Newtonian fluid under MHD effects. It offers a new parametric analysis of forced and free convection interactions using Reynolds number, Hartmann number, Richardson number, and angular velocity. For a non-rotating inner cylinder at power-law index = 0.7, the average Nusselt number decreases by 36.89%, while the average Sherwood number decreases by 17.14% as the Hartmann number increases from 0 to 30.
在考虑内筒不同位置的情况下,对由悬浮在水中的Al2O3和Fe3O4纳米颗粒组成的非牛顿幂律混合纳米流体在偏心旋转环空中的双扩散混合对流进行了数值分析。本文采用Galerkin加权残差有限元法(GFEM)进行分析。在这种结构中,纳米流体填充圆柱体之间的间隙,保持几何形状的外圆冷而内圆热。在这种结构中,纳米流体填充圆柱体之间的间隙,保持几何形状的外圆冷而内圆热。本研究探讨了多种控制参数的影响,包括幂律指数在0.7到1.3之间变化,纳米颗粒浓度在0%到2%之间,哈特曼数在0到30之间,浮力比在- 1到1之间变化。分析还考虑了雷诺数在200 ~ 600之间,理查德森数在0 ~ 5之间,刘易斯数在1 ~ 10之间,角速度在- 20 ~ 20之间,同时保持普朗特数恒定6.8377。此外,传热和传质速率用努塞尔数和舍伍德数进行了评估,并给出了流线、等温线和浓度等高线等可视化图。无论内筒是顺时针旋转还是逆时针旋转,传热传质率几乎保持不变。结果表明,无论内柱是顺时针旋转还是逆时针旋转,传热传质速率基本保持不变。哈特曼数的增加使传热增强,同时使传质速率降低。另一方面,幂律指数越高,传热传质速率越低。相反,浮力比的增加有助于热输运和质量输运的增强。这项研究的新颖之处在于,在MHD效应下,不同的角速度(正角速度和负角速度)如何影响幂律非牛顿流体中的热量和质量传递。利用雷诺数、哈特曼数、理查德森数和角速度对强迫对流和自由对流相互作用进行了新的参数化分析。对于幂律指数= 0.7的非旋转内柱,随着Hartmann数从0增加到30,平均Nusselt数减少36.89%,平均Sherwood数减少17.14%。
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引用次数: 0
Efficient tofu wastewater treatment with biofiltration using OPEFB-activated carbon opefb -活性炭生物过滤高效处理豆腐废水
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-09-24 DOI: 10.1016/j.sajce.2025.09.012
Sri Suhartini , Alya Vinurila , Novita Ainur Rohma , Andhika Putra Agus Pratama , Ika Atsari Dewi , Nur Hidayat , Nimas Mayang Sabrina Sunyoto , Riris Waladatun Nafi’ah , Widya Fatriasari , Lynsey Melville
This study evaluates the effectiveness of biofiltration in treating tofu wastewater using a biofilter system with various media combinations, including OPEFB-derived activated carbon. The aim was to investigate the impact of media arrangement and activated carbon thickness on the reduction of pollutants such as pH, turbidity, colour, BOD, COD, and TSS. A series of experiments were conducted with different media arrangements (i.e., silica sand, activated charcoal, zeolite, and gravel) and varying activated carbon thicknesses (i.e., 10, 15, and 20 cm). The results showed that the biofilter system significantly improved wastewater quality, with the best performance observed in the S1A3 treatment, which achieved the highest removal efficiencies of 79.39% for turbidity, 68.42% for colour, 60.42% for BOD, 76.14% for COD, and 71.11% for TSS. The study suggests that biofiltration using OPEFB-activated carbon combined with silica sand, zeolite, and gravel is a promising and cost-effective method for reducing pollutants in tofu wastewater. However, further optimization and additional treatment methods are needed to meet regulatory discharge standards, particularly for BOD, COD, and TSS. The findings contribute to the development of sustainable wastewater treatment practices, with potential applications in the tofu industry.
本研究使用包括opefb衍生活性炭在内的多种介质组合的生物过滤系统,评估了生物过滤处理豆腐废水的有效性。目的是研究介质布置和活性炭厚度对降低污染物(如pH值、浊度、颜色、BOD、COD和TSS)的影响。采用不同的介质布置(即硅砂、活性炭、沸石和砾石)和不同的活性炭厚度(即10、15和20 cm)进行了一系列实验。结果表明,生物滤池系统显著改善了废水水质,其中S1A3处理效果最佳,浊度去除率为79.39%,色度去除率为68.42%,BOD去除率为60.42%,COD去除率为76.14%,TSS去除率为71.11%。研究表明,opefb活性炭与硅砂、沸石和砾石复合进行生物过滤是一种有前景且经济有效的豆腐废水处理方法。然而,需要进一步优化和额外的处理方法来满足监管排放标准,特别是BOD, COD和TSS。研究结果有助于可持续废水处理实践的发展,在豆腐工业中具有潜在的应用前景。
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引用次数: 0
An analysis of effect of temperature and pressure on bio pellets physicochemical properties 温度和压力对生物微球理化性质的影响分析
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-07-02 DOI: 10.1016/j.sajce.2025.06.006
M.M. Manyuchi , C. Mbohwa , T.N. Mutusva , Walter Stinner
Organic municipal waste offers an opportunity for a renewable and clean source of energy through the production of bio pellets, for larger domestic thermal use, providing an attractive waste management initiative. In this study, municipal bio waste was shredded to particle sizes of 40 mm and pelletized at 200–400 °C for 10 min at a pressure of 150–450 MPa. The bio pellets’ physicochemical parameters such as moisture content, ash content, volatile matter, fixed carbon, density and the calorific value were measured using standard methods. The Analysis of variance and regression analysis in Matlab R2024b was used to determine the effect of temperature and pressure on the bio pellets physicochemical characteristics. The bio pellets had an average moisture content of 1–3–1.6 %, ash content of 4.1–8.1 %, volatile matter of 6.7–26.1 %, fixed carbon content of 60.7–88.0 % and density of 0.47–0.79 kg/cm3. The calorific value of the bio pellets ranged from 13.9–19.9 MJ/kg making it ideal for thermal energy purposes. An analysis of increased processing temperature and pressure of the bio pellets using a 2-way Analysis of variance (ANOVA) and regression analysis in MATLAB R2024b software at a p-value of 0.05 indicated that increase in these parameters resulted in decreased moisture content, ash content, volatile matter of the bio pellets. Consequently, using the same analysis, an increase in temperature and pressure resulted in increased fixed carbon content, density and calorific value of the pellets. The regression analysis and the experimental data had average R2 values of 0.9.
有机城市废物通过生产生物颗粒提供了可再生和清洁能源的机会,用于较大的家庭热利用,提供了一个有吸引力的废物管理倡议。在本研究中,将城市生物垃圾切碎至粒径为40 mm,在200-400℃、150-450 MPa压力下,进行10 min的成球处理。采用标准方法测定生物颗粒的理化参数,如水分、灰分、挥发物、固定碳、密度、热值等。在Matlab R2024b中进行方差分析和回归分析,确定温度和压力对生物微球理化特性的影响。所制得的生物颗粒平均水分含量为1-3-1.6 %,灰分含量为4.1 - 8.1%,挥发物含量为6.7 - 26.1%,固定碳含量为60.7 - 88.0%,密度为0.47-0.79 kg/cm3。生物颗粒的热值范围为13.9-19.9 MJ/kg,使其成为理想的热能用途。在MATLAB R2024b软件中,在p值为0.05的条件下,采用双方差分析(ANOVA)和回归分析,对生物微球加工温度和压力的增加进行分析,结果表明,这些参数的增加导致生物微球的水分含量、灰分含量和挥发物含量的降低。因此,使用相同的分析,温度和压力的增加导致颗粒的固定碳含量,密度和热值的增加。回归分析与实验数据的平均R2值为0.9。
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引用次数: 0
A novel approach incorporating Gibbs free energy of mixing to model the environmental impact of industrial brine treatment processes: a case study of hydrometallurgical recycling of lithium-ion batteries 一种结合吉布斯混合自由能的新方法来模拟工业盐水处理过程对环境的影响:锂离子电池湿法冶金回收的案例研究
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-08-08 DOI: 10.1016/j.sajce.2025.08.002
Roelof Frederick Maritz, Guven Akdogan, Christie Dorfling
The water quality of different industrial effluent streams, produced by various chemical and metallurgical processes, is liable to vary greatly which makes it difficult to compare the environmental impact of unique industrial effluent streams. When performing life cycle assessment studies for chemical processes, researchers are often left using generalised effluent treatment datasets to model their effluent streams. This approach disregards the thermodynamic properties of the effluent streams and only considers the volume of effluent being treated. The aim of this investigation was to develop a simplified, consistent methodology for modelling the environmental impact of unique industrial effluent streams. The proposed method primarily involves calculating the Gibbs free energy of mixing which can then be analysed as either a regular- or a specific energy value, thereby highlighting the importance of both improving effluent quality and reducing effluent quantity to minimise the environmental impact of treating industrial effluent. Subsequently, to approximate the actual energy requirement for treating each individual effluent stream, the Gibbs free energy of mixing may be divided by the exergetic efficiency of the appropriate effluent treatment technology for that specific effluent stream. To illustrate the utilisation of this methodology, a case study was performed which compared the environmental impact of effluent streams produced by different hydrometallurgical lithium-ion battery recycling plants. The process with the lowest specific effluent impact made use of citric acid as leaching reagent in comparison to a more traditional sulphuric acid-based lithium-ion battery recycling process. However, the citric acid-based process had a larger volume of effluent to treat and ultimately required more energy to achieve complete theoretical separation of the contaminants from the effluent than the sulphuric acid-based process.
由各种化学和冶金过程产生的不同工业废水的水质可能差别很大,这使得难以比较不同工业废水对环境的影响。在对化学过程进行生命周期评估研究时,研究人员经常使用通用的污水处理数据集来模拟其污水流。这种方法不考虑流出流的热力学性质,只考虑被处理的流出量。这项调查的目的是开发一种简化的、一致的方法,对独特的工业废水流的环境影响进行建模。所提出的方法主要涉及计算吉布斯混合自由能,然后可以将其作为常规或特定能量值进行分析,从而突出了改善废水质量和减少废水量的重要性,以尽量减少处理工业废水对环境的影响。随后,为了近似处理每个单独流出流的实际能量需求,混合的吉布斯自由能可以除以该特定流出流的适当流出处理技术的用能效率。为了说明该方法的应用,进行了一个案例研究,比较了不同湿法冶金锂离子电池回收厂产生的废水对环境的影响。与传统的硫酸基锂离子电池回收工艺相比,该工艺使用柠檬酸作为浸出试剂,对废水的影响最小。然而,与硫酸法相比,柠檬酸法需要处理的废水量更大,最终需要更多的能量才能从废水中完全分离污染物。
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引用次数: 0
Antibiotic removal in South African water using artificial neural networks and adaptive neuro-fuzzy inference system models: A review 基于人工神经网络和自适应神经模糊推理系统模型的南非水中抗生素去除研究综述
Q1 Social Sciences Pub Date : 2025-10-01 Epub Date: 2025-08-27 DOI: 10.1016/j.sajce.2025.08.014
Molly Katlo Keitemoge , Matthew Adah Onu , Olawumi Oluwafolakemi Sadare , Naadhira Seedat , Rishen Roopchund , Kapil Moothi
The growing occurrence of antibiotic residues in South African water systems poses serious environmental and public health risks, owing mostly to pharmaceutical discharge, agricultural runoff, and poor waste management. Conventional water treatment procedures frequently fail to properly remove these micropollutants, needing new predictive and analytical approaches. This review critically investigates the implementation of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) models to forecast and optimize antibiotic removal from South African water bodies. To the best of our knowledge, little or no research compares the models' respective performances in the context of the urban water cycle in South Africa. Therefore, this review elaborates on some of the pharmaceuticals (such as diclofenac sodium and tetracycline) that have been studied, as well as the challenges associated with their removal. It also emphasizes studies on modeling and predicting pharmaceutical removal from wastewater using ANN and ANFIS models. Additionally, this review considered the comparisons between ANN and ANFIS models in predicting the removal of emerging contaminants, as well as the challenges and limitations associated with these modeling techniques. The studies established that AI models achieved higher R² and lower error metrics compared to classical statistical or isotherm models.
由于药物排放、农业径流和废物管理不善,南非供水系统中抗生素残留的日益增加构成了严重的环境和公共卫生风险。传统的水处理程序往往不能正确地去除这些微污染物,需要新的预测和分析方法。这篇综述批判性地研究了人工神经网络(ANN)和自适应神经模糊推理系统(ANFIS)模型的实施,以预测和优化南非水体中的抗生素去除。据我们所知,很少或没有研究在南非城市水循环的背景下比较模型各自的表现。因此,这篇综述详细阐述了一些已被研究的药物(如双氯芬酸钠和四环素),以及与它们的去除相关的挑战。重点研究了利用人工神经网络和ANFIS模型对废水中药物去除的建模和预测。此外,本文还考虑了ANN和ANFIS模型在预测新出现污染物去除方面的比较,以及与这些建模技术相关的挑战和局限性。研究表明,与经典统计模型或等温模型相比,人工智能模型获得了更高的R²和更低的误差指标。
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引用次数: 0
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South African Journal of Chemical Engineering
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