检索结果-内蒙古大学图书馆

development of a natural coagulant from Albizia lebbeck seeds for application in turbidity removal from water intended for human consumption

引用

South African Journal of chemical engineering 2025年

作者： Ángel Villabona-Ortiz Candelaria Tejada-Tovar Rodrigo Ortega-Toro Process Design and Biomass Utilization Research Group (IDAB) Chemical Engineering Department Universidad de Cartagena Avenida del Consulado St. 30. Cartagena de Indias Colombia 130015 Food Engineering Department Food Packaging and Shelf-Life Research Group (FP&SL) Universidad de Cartagena Avenida del Consulado St. 30. Cartagena de Indias 130015 Colombia

Surface water is essential as a water resource in small communities, most of which do not have access to potable water; not all resources are safe for human consumption, so treating them with processes that often involve coagulants such as aluminium sulphate is essential and effective. However, aluminium sulphate is often a bioaccumulative compound and represents a risk to human health. For this reason, this research focused on the study of Albizia lebbeck (AL), in order to evaluate its coagulant capacity to remove turbidity in raw water, and to provide more sustainable, safe, and effective treatment alternatives. For the analysis of AL, seed lots were collected in the city of Cartagena, Bolívar, Colombia. The turbidity removal efficiency of coagulant prepared with and without oil extraction was determined using the jar test, varying the dose, the percentage of NaCl, the amount of seed powder, and the particle size of the seeds. The results showed that, for AL, the optimum dose is 8.5 mL/L, prepared with 10 g of 0.5 mm seeds at 4% NaCl, obtaining an efficiency of 93.65% and 93.31% with and without oil extraction, respectively. Finally, the removal efficiency and sedimentation time of the prepared natural coagulant were compared with those of aluminium sulphate, where it was found that the latter is more efficient (99.05%) at a lower concentration (2.4 mL/L) and achieved sedimentation in less time (8–9 minutes). However, the coagulant prepared from AL emerges as an environmentally friendly alternative for water clarification processes.

关键词： Drinking water Natural coagulant Oil extraction Turbidity

来源：评论

学校读者我要写书评

暂无评论

Mixed matrix formulations with MOF molecular sieving for key energy-intensive separations (vol 17, pg 283, 2018)

引用

NATURE MATERIALS 2021年第7期20卷 1037-1037页

作者： Liu, Gongping Chernikova, Valeriya Liu, Yang Zhang, Kuang Belmabkhout, Youssef Shekhah, Osama Zhang, Chen Yi, Shouliang Eddaoudi, Mohamed Koros, William J. School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA USA State Key Laboratory of Materials-Oriented Chemical Engineering Jiangsu National Synergetic Innovation Center for Advanced Materials College of Chemical Engineering Nanjing Tech University Nanjing China Advanced Membranes & Porous Materials Center Division of Physical Sciences and Engineering Functional Materials Design King Abdullah University of Science and Technology Discovery and Development research group (FMD3) Thuwal Saudi Arabia

来源：评论

学校读者我要写书评

暂无评论

Modelling and Simulation of Biobutanol Fermentation by Clostridium saccharoperbutylacetonicum N1-4

引用

IOP Conference Series: Materials Science and engineering 2021年第1期1143卷

作者： Elvi Restiawaty Ardiyan Harimawan Novaldio Rizki Fauz Irfan Rafi Research Group of Chemical Engineering Process Design and Development Faculty Industrial Technology Institut Teknologi Bandung Deparment of Bioenergy Engineering and Chemurgy Faculty Industrial Technology Institut Teknologi Bandung Biosciences and Biotechnology Research Center Institut Teknologi Bandung Department of Chemical Engineering Faculty Industrial Technology Institut Teknologi Bandung Research Group of Chemical Engineering Product Design and Development Faculty Industrial Technology Institut Teknologi Bandung

Biobutanol exhibits high octane number, non-hygroscopic, non-corrosive and can be mixed with gasoline without engine modification. Furthermore, the use of biobutanol as a fuel can reduce the negative impact of environmental due to the use of fossil-based fuel. Therefore, research on the development of biobutanol is still very much needed, including research on modelling and simulation of biobutanol production by fermentation. With modelling and simulation, we can predict various biobutanol production behaviour. This paper deals with the modelling and simulation of the production of biobutanol from glucose in batch bioreactor using Clostridium saccharoperbutylacetonicum N1-4. C. saccharoperbutylacetonicum N1-4 exhibits a good growth ability on simple or complex sugars, such as glucose, sucrose, or starch. This study concerned with the kinetics models of biobutanol production as developed by Shinto based on the C. acetobutylicum metabolic pathway which consists of the glycolysis, acidogenesis and solventogenesis pathways with several simplification of reactions. In this study, modelling was carried out by adapting the rate parameter value of k13 indicating the rate constant of cell death. The adapted models were applied to determine the effect of the initial concentration of glucose and organic acids on the production of butanol and compared to the experimental data from previous research. Model simulations were performed by using MATLAB® software. The butanol yield was affected by the initial glucose concentration. The highest butanol yield of 77% was obtained at a glucose concentration of 22 g/L. The simulation results exhibit that the biobutanol yield decreases when the glucose concentration is higher than 22 g/L. These results are consistent with previous experimental data. The simulation results also show the effect of the concentration of acetic acid in the fermentation medium and can be optimized. From the simulation results, the presence of 7.5 g/L acetic acid

关键词：

来源：评论

学校读者我要写书评

暂无评论

Approximate Bayesian Computation in Parameter Estimation of Building Energy Models 11th

Approximate Bayesian Computation in Parameter Estimation of ...

引用

11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019

作者： Zhu, ChuanQi Tian, Wei de Wilde, Pieter Yin, Baoquan College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300222 China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin300222 China Chair of Building Performance Analysis Environmental Building Group University of Plymouth PlymouthDevonPL4 8AA United Kingdom Tianjin Architecture Design Institute Tianjin300074 China

ISBN: (纸本)9789811395277

Model calibration is a necessary step to create reliable energy models in building retrofit. Bayesian computation in model calibration has attracted more attention because it can make full use of prior knowledge on building parameters. However, the likelihood function is hard to be computed in Bayesian computation due to the complexity of building energy simulation models. Approximate Bayesian computation (ABC) is a likelihood-free method to infer unknown parameters in complicated computational models by approximating the likelihood function with simulation. The ABC method is inherently computationally intensive since a large number of simulation runs are required to find reliable inferred values. This paper proposes a method for combining the ABC technique and the machine-learning method to compute unknown parameters in parameter estimation of building energy models. The results show that this method can provide reliable estimations of unknown parameters when calibrating building energy models. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Slag-coke interactions in the lead blast furnace 10

Slag-coke interactions in the lead blast furnace

引用

10th European Metallurgical Conference, EMC 2019

作者： Vanparys, Robin Brooks, Geoff Rhamdhani, Akbar Crivits, Tijl Swinburne University of Technology Dept. of Mechanical and Product Design Engineering Fluid and Process Dynamics Group John Street HawthornVIC3122 Australia Umicore Research and Development Watertorenstraat 33 Olen2250 Belgium

ISBN: (纸本)9783940276872

The interaction between metallurgical coke and slag is an important aspect of furnace operation in both lead production and ironmaking. This interaction occurs in the dripping zone of the blast furnace, where molten phases trickle through a bed of metallurgical coke. The impact on productivity is significant, as the majority of PbO reduction takes place in this zone of the lead blast furnace, and the reduction of FeO to Fe occurs in this zone of the iron blast furnace. The relative importance of direct and indirect reduction reactions in the dripping zone are not yet fully understood. The conditions of this zone are hard also to replicate in a laboratory experiment. In this work, a literature review on the conditions of the lead blast furnace and on the reduction kinetics of slags with metallurgical coke is included. Current studies on coke-slag interactions are performed either by sessile drop experiments or by submersion of coke into a molten slag. Using the sessile drop technique, the mechanism for direct reduction of oxides in a slag phase with solid carbonaceous material was found to be one of two gas-ferrying mechanisms for the case of FeO reduction. For PbO reduction, a gas-ferrying mechanism or a series of electrochemical reactions can be active. The different mechanisms are simultaneously operating, but the dominating mechanism depends on the wetting behaviour of the slag-carbon couple. Using the submersion technique, mass transfer was found to be rate determining for low lead or iron oxide activities, whereas for higher activities, the chemical reaction becomes rate limiting. These test methods have their merit when discussing bath smelting reactors or the hearth of the blast furnace, but both of these techniques are insufficient to represent the dripping zone of the furnace accurately. A new, dynamic, method of testing is therefore proposed. Copyright © European Metallurgical Conference, EMC *** rights reserved.

关键词： Slags

来源：评论

学校读者我要写书评

暂无评论

Biowaste to Biochar: A Techno-Economic and Life Cycle Assessment of Biochar Production from Food-Waste Digestate and its Agricultural Field Application

SSRN

引用

SSRN 2023年

作者： Gamaralalage, Disni Rodgers, Sarah Gill, Andy Meredith, William Bott, Tom West, Helen Alces, Jessica Snape, Colin McKechnie, Jon Sustainable Process Technologies Research Group Faculty of Engineering The University of Nottingham NottinghamNG7 2RD United Kingdom R&D manager CPL Industries Energy Technology Building Jubilee Campus The University of Nottingham NottinghamNG7 2TU United Kingdom Chemical and Environmental Engineering Jubilee Campus The University of Nottingham NottinghamNG8 1BB United Kingdom School of Biosciences Sutton Bonington Campus The University of Nottingham LeicestershireLE12 5RD United Kingdom Strategy & Development Severn Trent Green Power The Stables Radford Chipping NortonOX7 4EB United Kingdom

Biochar has high potential for long-term atmospheric carbon storage in terrestrial environments, contributing to meet UK and global greenhouse gas emission reduction targets. This study investigates greenhouse gas emissions and techno-economics associated with biochar produced from anaerobic digestate using hydrothermal carbonisation with post carbonisation at higher temperatures. While digestates are challenging to valorise, owing to high moisture contents, these low-value feedstocks have steady availability with minimal competition for other applications. The study scope includes food-waste digestate supply, stable biochar production, agricultural field application including co-benefits, and transportation activities. Minimising digestate transport through co-location of biochar production with anaerobic digestion demonstrated greenhouse gas mitigation costs of © 2023, The Authors. All rights reserved.

关键词： Greenhouse gases

来源：评论

学校读者我要写书评

暂无评论

Green synthesis of iron oxide nanoparticles using Cymbopogon citratus extract and sodium carbonate salt: Nanotoxicological considerations for potential environmental applications

引用

Environmental Nanotechnology, Monitoring and Management 2020年 14卷

作者： Patiño-Ruiz, David Sánchez-Botero, Lina Tejeda-Benitez, Lesly Hinestroza, Juan Herrera, Adriana Engineering Doctorate Program Nanomaterials and Computer-Aided Process Engineering Research Group Universidad de Cartagena Cartagena 130010 Colombia Department of Fiber Science and Apparel Design Cornell University Ithaca United States Chemical Engineering Program Nanomaterials and Computer-Aided Process Engineering Research Group Universidad de Cartagena Cartagena 130010 Colombia

Synthesis of functional and biocompatible nanomaterials, based on the green chemistry paradigm, aims to innovate by using environmentally friendly techniques. Green synthesis using natural extracts instead of chemicals is proving to be an efficient route to prepare metal and metal oxide nanoparticles. In this study, the green synthesis of iron oxide nanoparticles (FeO-NPs) is reported, using a Cymbopogon citratus (C. citratus) extract and sodium carbonate as the reducing and pH stabilizer agents, respectively. FeO-NPs are extensively studied and applied due to the exceptional physicochemical properties, outstanding the superparamagnetism, and the large surface area. These properties are corroborated using different characterization techniques, in which a regular crystal structure and the magnetic response are similar compared with FeO-NPs synthesized via the traditional methods. The presence of magnetite and maghemite (Fe₃O₄ and γ-Fe₂O₃) phases are evidenced. A major composition of Fe₃O₄ allows predominant superparamagnetism. However, surface functionalization reduces the spin coordination avoiding a high saturation magnetization. The presence of phytochemical content in the C. citratus allows the reduction of iron(III) to iron(II) using H⁺ radicals produced from hydroxyl and carbonyl groups, and the in-situ functionalization using these groups. Additionally, the biocompatibility of the FeO-NPs is evaluated performing a nanotoxicological assessment, in which Caenorhabditis elegans nematodes are used as the biological model. The presence of organic molecules on FeO-NPs promotes no toxicity and low effects on the locomotion, growth, and reproduction, suggesting a low risk using these functional nanoparticles for environmental applications, and outstanding the synthesis route with a green approach. © 2020 Elsevier B.V.

关键词： Caenorhabditis elegans Cymbopogon citratus extract Ecotoxicological effects FeO nanoparticles Green synthesis Sodium carbonate

来源：评论

学校读者我要写书评

暂无评论

Sensitivity Analysis of Building Energy Performance Assessment Based on Machine-Learning Models 11th

Sensitivity Analysis of Building Energy Performance Assessme...

引用

11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019

作者： Tian, Wei Shi, Jiaxin de Wilde, Pieter Sun, Yu Zhu, Chuanqi Yin, Baoquan College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300222 China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin300222 China Chair of Building Performance Analysis Environmental Building Group University of Plymouth PlymouthDevonPL4 8AA United Kingdom School of Architecture Harbin Institute of Technology Harbin150000 China Tianjin Architecture Design Institute Tianjin300074 China

ISBN: (纸本)9789811395277

Variance-based sensitivity analysis in combination with machine-learning techniques has been increasingly applied in energy analysis of buildings in order to reduce computational cost of running a large number of energy models with sufficient accuracy. This paper compares the performance of two sensitivity analysis methods based on machine-learning models for building energy assessment: multivariate adaptive regression splines (MARS) and Cubist (CB). An office building located in Tianjin, China, is used as a case study with the EnergyPlus simulation program, to study the characteristics of these two sensitivity analysis methods. The results indicate that sufficient sample number is required to obtain reliable sensitivity analysis results in building energy assessment and subsequent HVAC system design and sizing. It is recommended to use at least two machine-learning models for variance-based sensitivity methods to allow the comparison of ranking results. The consistency of results from these learning methods should be thoroughly checked since the parameters in tuning these machine-learning models have significant influences on ranking results. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Mathematical modelling and parametric studies for the methanol production in fixed bed catalytic reactor using Aspen plus

引用

AIP Conference Proceedings 2023年第1期2571卷

作者： Mohd Azahar Mohd Ariff Nor Adila Mohd Nasir Zulkifli Abdul Rashid Nur Alwani Ali Bashah Fakhrony Sholahudin Rohman School of Chemical Engineering College of Engineering Universiti Teknologi MARA Cawangan Pulau Pinang Kampus Permatang Pauh 13500 Permatang Pauh Pulau Pinang Malaysia Molecular System Design Process & Optimization Research Group (MODEPRO) Universiti Teknologi MARA Cawangan Pulau Pinang Kampus Permatang Pauh 13500 Permatang Pauh Pulau Pinang Malaysia School of Chemical Engineering College of Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia School of Chemical Engineering Engineering Campus Universiti Sains Malaysia Seri Ampangan 14300 Nibong Tebal Seberang Perai Selatan Pulau Pinang Malaysia

In this study, methanol production was simulated using Aspen plus mathematical modelling and the effect of pressure and temperature towards methanol reactor production and selectivity as well as reactant conversions were investigated. Nowadays, the number of methanol plants are increasing due to high demand worldwide. Reactor is one of the main equipment for the methanol production and high impact accident such as explosion, may happen due to the upset of the critical process temperature and pressure which also could create major fluctuation of the methanol production. Thus, the reactor behaviour needed to be studied promptly so that the risk assessment can be performed in a later stage. A mathematical model for the fixed bed catalytic reactor which used RPLUG in Aspen Plus software was developed based on industrial data. The model had been validated and the percent error was below 5.5% compared to the industrial data. The model was also much better compared to the previous research which used ANN MATLAB for the model validation. Overall, it concluded that Aspen Plus simulation for this model could be used to simulate the process with regards to any changes in the process parameters.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Simple mass transfer simulation using a single-particle heterogeneous reaction approach in rice husk combustion and rice husk ash extraction

引用

IOP Conference Series: Earth and Environmental Science 2022年第1期963卷

作者： S Steven E Restiawaty Y Bindar Department of Chemical Engineering Faculty of Industrial Technology Institut Teknologi Bandung Bandung 40132 Indonesia Research Group on Design and Development of Chemical Engineering Processes Faculty of Industrial Technology Institut Teknologi Bandung Bandung 40132 Indonesia Biosciences and Biotechnology Research Center Institut Teknologi Bandung Bandung 40132 Indonesia Research Group on Biomass and Food Processing Technology Faculty of Industrial Technology Institut Teknologi Bandung Bandung 40132 Indonesia

Rice husk conversion to silica is usually carried out through combustion to produce ash and then continued with ash extraction to obtain silica. There is a model to simulate the single-particle combustion, which abandoned the simplification. However, the model is complex and seems complicated for early beginners. This study, hence, aims to discuss the simple mass transfer simulation using a single-particle heterogeneous reaction approach. The shrinking core model was targeted for rice husk combustion time prediction, whereas mass transfer effectiveness analysis was used in rice husk ash extraction simulation. According to this study, a shorter combustion time is reached under smaller particle diameter, more spherical particle, and higher oxygen concentration. The result showed that a combustion time of 133 minutes is obtained for oxygen diffusion to rice husk with diameter 5.8 mm, sphericity 0.5, and oxygen concentration 21%-vol. Besides, in order to improve the rice husk ash extraction overall mass transfer effectiveness from 0.01 to 0.1, extraction should be done under particle diameter of 0.2 mm, sphericity of 0.8, and agitator tip velocity of 5 cm/s. All of the parameters lessen the mass transfer limitation due to diffusion, and in consequence, intrinsic kinetic becomes a major factor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：