International Journal of Thermofluids最新文献_第4页

Zeotropic mixture as a working fluid for cascade Rankine cycle-based reverse osmosis: Energy, exergy, and economic analysis 将沸腾混合物作为基于级联朗肯循环的反渗透的工作流体：能量、放能和经济分析

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-27 DOI: 10.1016/j.ijft.2024.100890

Milan Raninga, Anurag Mudgal, Vivek Patel, Jatin Patel

This study investigates the cascade Rankine cycle coupled with a reverse osmosis system for brackish groundwater treatment. The proposed system integrates a steam Rankine cycle (SRC) and an organic Rankine cycle (ORC) in a looped configuration, utilizing solar energy as a heat source. Each Rankine cycle is coupled with reverse osmosis (RO) to produce approximately 1 m³/h of permeate from each RO system. The system is investigated with working fluid combinations from R1233zd(E), R1234ze(Z), and R1336mzz(Z). Through comprehensive energy, exergy, and economic analyses, the system's performance is evaluated with zeotropic mixtures compared to pure R1233zd(E). The results demonstrate reliable performance with zeotropic mixtures, particularly R1233zd(E)/R1234ze(Z) with a mass composition of 0.6/0.4, demonstrating the maximum ORC expander work output of 1.15 kW. Parametric analysis reveals remarkable performance under different ORC system parameters. Variations in SRC condensation pressure show a trade-off performance between SRC and ORC turbine work output. Exergy analysis reveals an increase in exergy destruction by evaporation-based ORC components and a reduction in exergy destruction by condensation-based components, emphasizing improved irreversibility during the condensation process. Economic analysis indicates a marginal impact on the overall system cost, with the treated water cost ranging from 0.891 to 0.919 $/m³.

本研究探讨了用于咸水地下水处理的级联朗肯循环与反渗透系统。拟议的系统利用太阳能作为热源，将蒸汽朗肯循环 (SRC) 和有机朗肯循环 (ORC) 集成在一个循环配置中。每个朗肯循环与反渗透（RO）相结合，从每个反渗透系统产生约 1 立方米/小时的渗透液。该系统采用 R1233zd(E)、R1234ze(Z) 和 R1336mzz(Z) 工作流体组合进行研究。通过全面的能量、放能和经济分析，评估了与纯 R1233zd(E) 相比，使用各向同性混合物的系统性能。结果表明，各向同性混合物的性能可靠，特别是质量成分为 0.6/0.4 的 R1233zd(E)/R1234ze(Z)，其 ORC 膨胀机的最大功输出为 1.15 千瓦。参数分析表明，在不同的 ORC 系统参数下都有出色的性能。SRC 冷凝压力的变化表明 SRC 和 ORC 涡轮工作输出之间存在性能权衡。放能分析表明，基于蒸发的 ORC 组件的放能破坏增加，而基于冷凝的组件的放能破坏减少，强调了冷凝过程中不可逆性的改善。经济分析表明，对整个系统成本的影响微乎其微，处理水的成本在 0.891 到 0.919 美元/立方米之间。

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引用次数: 0

Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae 应用人工智能和红尾鹰优化技术提高微藻生物制氢能力

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-25 DOI: 10.1016/j.ijft.2024.100876

Hegazy Rezk , Ali Alahmer , Abdul Ghani Olabi , Enas Taha Sayed

Enhancing biohydrogen production from microalgae is crucial in addressing environmental and energy challenges. It provides a sustainable, clean energy source while reducing greenhouse gas emissions. Moreover, it advances microalgae-based biotechnology, enabling innovative biofuel production and ecological revitalization. The main target of this study is to develop a robust ANFIS model to simulate the biohydrogen production process from microalgae within photobioreactors. The study focuses on enhancing hydrogen yield by optimizing three critical process parameters: sulfur concentration (%), run time (hours), and wet biomass concentration (g/L). Initially, an adaptive neuro-fuzzy inference system (ANFIS) model for biohydrogen production process is constructed based on empirical data. Subsequently, the red-tailed hawk algorithm (RTH) is used to determine the optimal values for the process parameters, corresponding to maximum hydrogen yield. The performance of ANFIS model in predicting hydrogen yield is assessed using root mean square error (RMSE) and coefficient-of-determination (R²) values. The obtained RMSE values for training and testing data are 2.8477 × 10⁻⁰⁵ and 1.2807, respectively, while the corresponding R² values are 1.0 and 0.9911 for training and testing. The introduction of fuzzy logic into the model significantly improves its predictive accuracy, as evidenced by the drop in RMSE from 10.79 with ANOVA to 0.7159 with ANFIS, representing a substantial 93.4 % decrease. The remarkable precision of the ANFIS model, indicated by its low RMSE and high R² values, underscores the success of the modeling stage. The combination between ANFIS with the RTH technique yields impressive results, leading to a hydrogen yield enhancement of 6.87 % and 26.65 % when compared to both measured data and ANOVA.

提高微藻生物制氢能力对于应对环境和能源挑战至关重要。它提供了一种可持续的清洁能源，同时减少了温室气体排放。此外，它还推动了微藻生物技术的发展，实现了创新生物燃料生产和生态振兴。本研究的主要目标是开发一种稳健的 ANFIS 模型，用于模拟光生物反应器中微藻的生物制氢过程。研究重点是通过优化硫浓度（%）、运行时间（小时）和湿生物质浓度（克/升）这三个关键工艺参数来提高氢气产量。首先，根据经验数据构建了生物制氢工艺的自适应神经模糊推理系统（ANFIS）模型。随后，使用红尾鹰算法（RTH）确定工艺参数的最佳值，以获得最大氢气产量。ANFIS 模型预测氢气产量的性能使用均方根误差（RMSE）和确定系数（R2）值进行评估。训练数据和测试数据的 RMSE 值分别为 2.8477 × 10-05 和 1.2807，而相应的 R2 值分别为 1.0 和 0.9911。将模糊逻辑引入模型后，其预测精度得到了显著提高，RMSE 从方差分析的 10.79 下降到 ANFIS 的 0.7159，即大幅下降了 93.4%。ANFIS 模型的 RMSE 值和 R2 值都很低，这表明 ANFIS 模型非常精确，突出说明了建模阶段的成功。ANFIS 与 RTH 技术的结合产生了令人印象深刻的结果，与测量数据和方差分析相比，氢气产量分别提高了 6.87 % 和 26.65 %。

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引用次数: 0

Investigation and optimization of battery thermal management system based on composite phase change material and variable wall liquid cooling plate 基于复合相变材料和变壁液体冷却板的电池热管理系统的研究与优化

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-25 DOI: 10.1016/j.ijft.2024.100886

Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song

To mitigate the risk of thermal runaway in lithium-ion batteries, an efficient battery thermal management system (BTMS) assumes paramount importance. A BTMS based on composite phase change material (CPCM) and variable wall liquid cooling plate (LCP) is proposed in this research. The numerical model of the BTMS was established and experimentally validated. The influence of the wall of LCP on battery temperature was investigated, and the efficiency of phase change material (EOP) index was proposed to assess the efficacy of CPCM. The genetic algorithm was employed to optimize the structure of the CPCM, and the influence of flow rate on the maximum temperature of the battery pack was studied. The results demonstrate a reduction of 1.81 °C in the maximum temperature of the battery pack upon implementation of the variable wall LCP. The optimized EOP achieves a value of 0.07 °C/g, resulting in a temperature difference of 0.56 °C. Furthermore, maintaining the maximum temperature of the battery pack below 40 °C only requires a water flow rate greater than 0.89 g/s. These results can serve as a valuable reference for the development of battery thermal management systems utilizing CPCM and liquid-cooling.

为了降低锂离子电池热失控的风险，高效的电池热管理系统（BTMS）至关重要。本研究提出了一种基于复合相变材料（CPCM）和可变壁液体冷却板（LCP）的 BTMS。建立了 BTMS 的数值模型，并进行了实验验证。研究了 LCP 壁对电池温度的影响，并提出了相变材料效率（EOP）指标来评估 CPCM 的功效。采用遗传算法优化了 CPCM 的结构，并研究了流量对电池组最高温度的影响。结果表明，采用可变壁 LCP 后，电池组的最高温度降低了 1.81 °C。优化后的 EOP 值为 0.07 °C/g，温差为 0.56 °C。此外，将电池组的最高温度保持在 40 °C 以下只需要大于 0.89 g/s 的水流量。这些结果可作为利用 CPCM 和液冷技术开发电池热管理系统的宝贵参考。

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引用次数: 0

Computational influences of convection micropolar fluid influx and permeability on characteristics of heating rate and skin friction over vertical plate 对流微极性流体流入量和渗透率对垂直板上加热速率和表皮摩擦特性的计算影响

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-24 DOI: 10.1016/j.ijft.2024.100885

Omar Quran , Abdullah N. Olimat , Hussein Maaitah , Hamzeh M. Duwairi

This manuscript merits at examining of an embedded orthogonal plate inside porous domain exposed to uniform heat influx to elaborate on how micro polar fluid factors and permeability characteristic affect the local skin friction, heating rate, and angular velocity inside boundary layer. The plate is subjected to forced convective micro polar fluid influx under steady, incompressible, and viscous circumstances. To facilitate dependable numerical solution, similarity approach is implemented to mutate set of coupled governing equations relevant to the adopted study into a constrained dimensionless differential equations. Computational analysis has been executed hiring Runge-Kutta scheme by Matlab function bvp4c to settle the governing equations. Study's results are highlighted graphically the impact of micro polar fluid factors on the local skin friction, heating rate, and angular velocity curves. High degree of acceptability of present findings compare with prior research results. It is found that the rising of Darcy parameter drives to decrease linearly both heating rate and local skin friction. Among the examined factors, the benchmark parameter of decreasing skin friction is the porosity. Additionally, it is found that an increasing of Prandtl number and micro rotation element lead to enhance Nusselt number. Once curves of micro rotation are interfered at certain distance from the plate due to increase in porosity, Darcy, Forchheimer's, and microelement rotation, the micro rotation curves are inverted.

本手稿的优点在于研究了暴露于均匀热流入的多孔域内的嵌入式正交板，详细阐述了微极性流体因素和渗透特性如何影响边界层内的局部表皮摩擦、加热速率和角速度。在稳定、不可压缩和粘性条件下，板受到强迫对流微极性流体流入的影响。为便于可靠的数值求解，采用了相似性方法，将与所采用研究相关的耦合控制方程组转换为受约束的无量纲微分方程。计算分析使用 Matlab 函数 bvp4c 的 Runge-Kutta 方案来解决控制方程。研究结果以图表形式突出显示了微极性流体因素对局部表皮摩擦、加热率和角速度曲线的影响。与之前的研究结果相比，本研究结果具有很高的可接受性。研究发现，达西参数的增加会导致加热速率和局部表皮摩擦力呈线性下降。在所研究的因素中，降低表皮摩擦的基准参数是孔隙率。此外，还发现普朗特尔数和微旋转元素的增加会导致努塞尔特数的增加。由于孔隙率、达西、福克海默和微旋转元素的增加，一旦微旋转曲线在离板一定距离处受到干扰，微旋转曲线就会倒转。

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引用次数: 0

Study on the performance and emissions of compression ignition engine powered by diesel and biodiesel blends 以柴油和生物柴油混合物为动力的压燃式发动机的性能和排放研究

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-24 DOI: 10.1016/j.ijft.2024.100869

Mohammed Iyad Ali Alzubaidi, Amin Sami Amin Altawwash, Walaa Nasser Abbas

This research tested all specifications of synthesized biodiesel according to the American Society for Testing and Materials (ASTM). The spirulina micro-algae synthesized biodiesel is mixed with conventional diesel in different blends named B0, B10, B20, and B30. The number after the letter “B” indicates the ratio of (biodiesel/diesel blend), which will be used instead of net diesel for experimental purposes. Those blend specifications are investigated, and results are tabled. The variable compression ratio, single-cylinder, water-cooled, and compression ignition engine, were utilized to study the effect of algae biodiesel/diesel blends on engine performance and its exhaust emission constituents. No hardware modification was required, and the blends directly injected in the combustion chambers. The experimental investigation showed that B10 with 14.5 CR and 25 % load -as compared with net diesel- enhances almost all performance parameters more than other blends (1.7 % more brake efficiency, 12.7 % less brake specific fuel consumption, 3.45 % less in exhaust temperature, 6.7 % more in A/F ratio, and volumetric efficiency was nearly the same). It also enhances some emission parameters more than other blends (12 % less in unburned hydrocarbons (UHC′s) emissions), but with a slight increase in nitric oxides (NO_X) emissions (2.4 % more than net diesel) with nearly the same values of carbon dioxide (CO₂) and carbon monoxide (CO) emissions. In general, in comparison with net diesel and with icreasing blend ratio, the following results are observed: the volumetric efficiency results fluctuated with a slight difference. Both brake thermal efficiency, air/fuel ratio, and exhaust temperature were enhanced with a slight increase in brake-specific fuel consumption. For emissions: The carbon dioxide and nitrogen oxides emissions both are reduced significantly, while there was a slight increase in CO and UHC′s levels. Finally, this work recommends using the algae biodiesel as clean and substitution fuel.

这项研究根据美国材料与试验协会（ASTM）的标准测试了合成生物柴油的所有规格。螺旋藻微藻合成的生物柴油与传统柴油混合成不同的混合物，分别命名为 B0、B10、B20 和 B30。字母 "B "后面的数字表示（生物柴油/柴油混合物）的比例，实验中将使用该比例代替净柴油。对这些混合规格进行了研究，结果列于表中。利用可变压缩比、单缸、水冷和压燃发动机，研究了海藻生物柴油/柴油混合物对发动机性能及其废气排放成分的影响。无需对硬件进行改装，混合燃料直接注入燃烧室。实验结果表明，与净柴油相比，14.5CR 和 25% 负载的 B10 在几乎所有性能参数上都比其他混合物有更大的提高（制动效率提高 1.7%，制动比油耗降低 12.7%，排气温度降低 3.45%，A/F 比提高 6.7%，容积效率几乎相同）。与其他混合燃料相比，它还提高了一些排放参数（未燃碳氢化合物（UHC′s）排放量减少 12%），但一氧化氮（NOX）排放量略有增加（比净柴油高 2.4%），二氧化碳（CO2）和一氧化碳（CO）排放量几乎相同。总的来说，与净柴油相比，随着混合比的增加，观察到以下结果：容积效率结果有所波动，但差别不大。制动热效率、空燃比和排气温度都有所提高，但制动油耗略有增加。排放方面：二氧化碳和氮氧化物的排放量都有显著减少，而一氧化碳和超高硫含量则略有增加。最后，本研究建议使用藻类生物柴油作为清洁燃料和替代燃料。

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引用次数: 0

Theoretical analysis of effect of MHD, couple stress and slip velocity on squeeze film lubrication of rough Triangular plates 理论分析 MHD、耦合应力和滑移速度对粗糙三角板挤压膜润滑的影响

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-24 DOI: 10.1016/j.ijft.2024.100882

Vinutha R , Hanumagowda B. N , Vasanth K. R , Ganesh Kumar K

In this study, Christensen's stochastic theory is utilized on rough surfaces' hydrodynamic lubricating effect to examine how surface roughness, couple stress fluid, slip velocity, magnetohydrodynamic (MHD), and the triangular surface interact. Modified Reynolds equation is derived analytically using combining theories of Stokes couple stresses, Lorentz forces, and Christensen's stochastic hypothesis about hydrodynamic lubrication. Pressure, load carrying capacity and squeeze film time expression is derived mathematically using Reynolds equation that accounts for surface roughness and coupling stress. For various parameters including rough parameter, slip velocity, Hartmann number, and couple stress, the lubricating characteristics are analysed graphically. Squeeze film time, load carrying capacity, and pressure are enhanced by an increase in slip velocity, couplestress and magnetic field. The lubrication characteristics decreases (increases) on squeeze film pressure, load carrying capacity and squeeze film time through increasing values of the longitudinal (transverse) roughness parameter.

在本研究中，克里斯滕森随机理论被用于粗糙表面的流体动力润滑效应，以研究表面粗糙度、耦合应力流体、滑移速度、磁流体动力学（MHD）和三角形表面如何相互作用。结合斯托克斯耦合应力理论、洛伦兹力和克里斯滕森流体动力润滑随机假说，分析得出了修正的雷诺方程。压力、承载能力和挤压膜时间表达式是利用考虑了表面粗糙度和耦合应力的雷诺方程从数学上推导出来的。针对不同的参数，包括粗糙度参数、滑移速度、哈特曼数和耦合应力，以图形方式分析了润滑特性。随着滑移速度、耦合应力和磁场的增加，挤压膜时间、承载能力和压力也随之增加。润滑特性会随着纵向（横向）粗糙度参数值的增加而降低（增加）挤压膜压力、承载能力和挤压膜时间。

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引用次数: 0

Features of Soret and Dufour effects on an unsteady mixed convection nanofluid flow about a revolving Riga cone 围绕旋转里加锥的非稳定混合对流纳米流体流动的索雷特效应和杜富尔效应特征

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-23 DOI: 10.1016/j.ijft.2024.100883

T. A. Yusuf , S. O. Salawu , U. D. Akpan

Temperature, concentration, and composition gradients may all produce mass and energy fluxes when heat and mass transfer occur concurrently in a flowing fluid. This has ramifications for several industries, including aircraft and thermal engineering. The present study focuses on the numerical modelling of an Ag-kerosene oil nanofluid spinning in a rotating cone with time-dependent angular velocities affected by heat and mass diffusion. The cone Riga surface creates an external electric field that causes the wall to paralleled Lorentz force, which regulates the nanofluid flow. The effects on the heat and mass distributions of the diffusion-thermo (Dufour) and thermal-diffusion (Soret) are all considered. Similarity analysis yields a non-dimensional system of ODEs, and the shooting technique with the Runge-Kutta-Fehlberg scheme is then used to carry out the simulation. Graphs are used to illustrate the parametric analysis of the different flow profiles and the validation with the existing study is demonstrated with a strong connection in this specific scenario. It is observed that the flow dynamics were affected by the spinning Riga cone shape that generates centrifugal forces, which result in complicated thermal dispersion and flow pattern features.

当流体中同时发生热量和质量传递时，温度、浓度和成分梯度都可能产生质量和能量通量。这对包括飞机和热能工程在内的多个行业都有影响。本研究的重点是对在旋转锥体中旋转的 Ag-kerosene 油纳米流体进行数值建模，其角速度受热和质量扩散的影响而随时间变化。锥体里加表面产生外部电场，使壁产生平行洛伦兹力，从而调节纳米流体的流动。所有这些都考虑了热扩散（杜福尔）和热扩散（索雷特）对热量和质量分布的影响。通过相似性分析得出了非一维的 ODEs 系统，然后使用 Runge-Kutta-Fehlberg 方案的射击技术进行模拟。使用图表说明了不同流动剖面的参数分析，并证明了与现有研究在这一特定情况下的紧密联系。据观察，流动动力学受到旋转的里加锥形状的影响，这种形状会产生离心力，从而导致复杂的热扩散和流动模式特征。

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引用次数: 0

Comprehensive assessment and energetic-exergetic performance optimization of a new solar thermal electricity system based on Scheffler-type receivers combined with screw-type volumetric machines 基于谢弗勒式接收器和螺旋式容积机的新型太阳能热发电系统的综合评估和能效性能优化

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-22 DOI: 10.1016/j.ijft.2024.100881

Paolo Iodice , Amedeo Amoresano , Giuseppe Langella , Francesco Saverio Marra

This study explores the potential of a novel solar-powered cascade Rankine cycle system based on Scheffler-type receivers combined with screw expanders. Specifically, in this solar power system, steam is generated in the Scheffler-type receiver, which proves to be well performing compared with other technological solutions to exploit solar energy, due to satisfactory efficiency of the focal receiver that is able to curtail heat losses, even at high evaporation temperatures. Subsequently, steam expands in the screw machines which, unlike conventional steam turbines, are specially fitting in energy conversion with vapor-liquid mixes in the field from tens to hundreds of kW. In the present study, comprehensive assessment of this renewable energy power system is thoroughly conducted in a large range of operating states. For this purpose, specific numerical models and basic criteria fixed for the screw expanders and Scheffler receivers part-load behavior are combined with thermodynamic formulations established for energetic-exergetic performance optimization of the entire solar thermal electricity plant. Hence, parametric optimization of the major thermodynamic factors involved at part-load operating situations is conducted to enhance the energetic and exergetic efficiencies of the designed solar thermal power system.

本研究探讨了一种新型太阳能级联朗肯循环系统的潜力，该系统基于与螺旋膨胀机相结合的谢弗勒型接收器。具体来说，在该太阳能发电系统中，蒸汽在谢弗勒式接收器中产生，与其他利用太阳能的技术方案相比，该接收器性能良好，因为即使在高蒸发温度下，焦点接收器也能抑制热损失，效率令人满意。随后，蒸汽在螺杆机中膨胀，与传统的蒸汽轮机不同，螺杆机特别适用于从几十千瓦到几百千瓦的汽液混合能源转换。本研究对这种可再生能源发电系统在多种运行状态下进行了全面评估。为此，为螺杆膨胀机和谢弗勒接收器部分负荷行为确定了特定的数值模型和基本标准，并结合热力学公式对整个太阳能热发电厂的能量-能效性能进行了优化。因此，对部分负荷运行情况下涉及的主要热力学因素进行了参数优化，以提高所设计的太阳能热发电系统的能效和效费比。

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引用次数: 0

Cascaded lattice Boltzmann simulation of Newtonian and non-Newtonian mixture nanofluids with variable thermophysical properties in a cavity with vertical heat radiator 带垂直热辐射器的空腔中热物理特性可变的牛顿和非牛顿混合纳米流体的级联晶格玻尔兹曼模拟

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-21 DOI: 10.1016/j.ijft.2024.100865

Md. Mamun Molla , Amzad Hossain , Md. Mahadul Islam

<div><div>The central moments-based cascaded lattice Boltzmann method (CLBM) for then Newtonian and non-Newtonian Buongiorno’s model mixture nanofluids (CuO, ZnO, Al<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>O<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>-water) has been implemented and applied in a square chamber with a vertical heat radiator using accelerated graphics processing unit (GPU) computing through compute unified device architecture (CUDA) C/C++ platform. Due to the higher numerical stability, the CLBM is a superior numerical tool to the raw moments-based MRT-LBM (multiple-relaxation-time lattice Boltzmann method). Three different models for the viscosity and thermal conductivity of the nanofluids: (i) the Binkmann model for the constant viscosity and the Maxwell model for the constant thermal conductivity (ii) Binkmann and Maxwell model with temperature dependent Brownian motion and (iii) Corcione model with non-Newtonian fluid where the temperature and strain rate determine the nanofluid effective thermal conductivity and viscosity, have been used. The enclosure’s upper and bottom walls are thermally adiabatic, but the left and right walls are uniformly cold. A vertical heater is immersed in the middle position of the cavity. The benchmark results for non-Newtonian, Newtonian, and nanofluids for the various computational domains are used to validate the current code adequately. The Bingham number (<span><math><mrow><mi>B</mi><mi>n</mi></mrow></math></span>), the Rayleigh number (<span><math><mrow><mi>R</mi><mi>a</mi></mrow></math></span>), and The volume fraction of the nanoparticles (<span><math><mi>ϕ</mi></math></span>) are the three key parameters that are varied in this investigation to demonstrate the effects of natural convection on the isotherms, streamlines, isolines of nanoparticle volume fractionation, yielded and unyeilded zone, and average Nusselt number (<span><math><mover><mrow><mi>N</mi><mi>u</mi></mrow><mo>¯</mo></mover></math></span>). The Brownian motion effects of the nanoparticles augmented the average rate of heat transfer and the use of the Bingham nanofluids reduced the heat transfer enhancement. For the CuO-water nanofluid, the augmentation of the rate of heat transfer is 15.42% from <span><math><mrow><mi>ϕ</mi><mo>=</mo><mn>0</mn></mrow></math></span> to 4% while <span><math><mrow><mi>R</mi><mi>a</mi><mo>=</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>6</mn></mrow></msup></mrow></math></span> and the corresponding heat transfer enhancement for the ZnO-water nanofluid is 11.11%. For the Bingham fluid, the rate of heat transfer increases 7% from <span><math><mrow><mi>R</mi><mi>a</mi><mo>=</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>5</mn></mrow></msup></mrow></math></span> to <span><math><mrow><mi>R</mi><mi>a</mi><mo>=</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>6</mn></mrow></msup></mrow></math></span> while <span><math><mro

通过计算统一设备架构（CUDA）C/C++ 平台，使用图形处理器（GPU）加速计算，对牛顿和非牛顿 Buongiorno 模型混合纳米流体（CuO、ZnO、Al2O3-水）实施并应用了基于中心矩的级联晶格玻尔兹曼方法（CLBM）。由于具有更高的数值稳定性，CLBM 是一种优于基于原始矩的 MRT-LBM（多松弛时间晶格玻尔兹曼法）的数值工具。纳米流体的粘度和热导率有三种不同的模型：(i) 恒定粘度的 Binkmann 模型和恒定热导率的 Maxwell 模型；(ii) 与温度相关的布朗运动的 Binkmann 和 Maxwell 模型；(iii) 非牛顿流体的 Corcione 模型，其中温度和应变率决定纳米流体的有效热导率和粘度。外壳的上壁和底壁是绝热的，但左壁和右壁是均冷的。一个垂直加热器浸没在空腔的中间位置。非牛顿流体、牛顿流体和纳米流体在不同计算域的基准结果用于充分验证当前的代码。宾厄姆数（Bn）、瑞利数（Ra）和纳米颗粒的体积分数（j）是本次研究中的三个关键参数，通过改变这三个参数来演示自然对流对等温线、流线、纳米颗粒体积分数隔离线、屈服区和未屈服区以及平均努塞尔特数（Nu¯）的影响。纳米粒子的布朗运动效应提高了平均传热速率，而使用宾汉纳米流体则降低了传热增强效果。对于 CuO-水纳米流体，当 Ra=106 时，从 ϕ=0 到 4% 的传热率提高了 15.42%，而 ZnO-水纳米流体的相应传热率提高了 11.11%。对于宾汉姆流体，当 ϕ=2% 和 Bn=0.3 时，传热率从 Ra=105 到 Ra=106 增加了 7%。研究结果可用于优化汽车散热器系统，该系统对保持发动机温度至关重要。

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引用次数: 0

Enhanced distilled water productivity using an innovative semi-cylindrical tent-shaped solar still coupled with evacuated tubes 利用创新型半圆柱形帐篷式太阳能蒸馏器和抽真空管提高蒸馏水生产率

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2024-09-21 DOI: 10.1016/j.ijft.2024.100880

Abed Alrzaq Alshqirate , Omar Badran , Omar Quran , Ghazi Al-Marahleh , Abdullah N. Olimat , Aiman Al Alawin , Abdullah Al Shorman , Ali Alahmer

Despite advances in enhancing the output of conventional solar stills, the pursuit of the most efficient solar distillation technique remains ongoing. Evacuated tubes, known for their superior thermal capacity compared to traditional single-basin solar stills, offer a promising solution for high-yield distillation. This study evaluates the performance of a semi-cylindrical tent-shaped solar still coupled with evacuated tubes (SCTSCET) against a conventional single-basin, single-slope solar still, used as a benchmark. Experiments conducted in Amman, Jordan, in May 2023, demonstrate that the SCTSCET significantly outperforms the conventional solar still in distilled water production. The SCTSCET achieved a daily yield of up to 9.7 liters, which is approximately 288 % higher than the 2.5 liters produced by the conventional still. This increased productivity is due to a 45.7 % enhancement in heat capacity provided by the evacuated tubes, which raised the water basin temperature to 61.4 °C, compared to 41.2 °C in the conventional still. This higher temperature facilitated a faster evaporation rate and improved water output. Additionally, the SCTSCET exhibited a 10 % higher hourly thermal efficiency and a peak exergy efficiency of 5.7 %, compared to 3.4 % for the conventional still, highlighting its superior ability to harness and utilize solar energy for distillation.

尽管在提高传统太阳能蒸馏器的产量方面取得了进展，但人们仍在不断追求最高效的太阳能蒸馏技术。与传统的单池太阳能蒸馏器相比，抽真空管以其出色的热容量而著称，为高产蒸馏提供了一种前景广阔的解决方案。本研究以传统的单盆地、单斜面太阳能蒸馏器为基准，评估了半圆柱形帐篷式排空管太阳能蒸馏器（SCTSCET）的性能。2023 年 5 月在约旦安曼进行的实验表明，在蒸馏水生产方面，SCTSCET 明显优于传统太阳能蒸馏器。SCTSCET 的日产量高达 9.7 升，比传统蒸馏器的 2.5 升高出约 288%。生产率的提高归功于抽真空管提供的热容量提高了 45.7%，将水盆温度提高到 61.4 °C，而传统蒸馏器的温度为 41.2 °C。较高的温度有助于加快蒸发速度，提高出水量。此外，与传统蒸馏器的 3.4%相比，SCTSCET 的小时热效率高出 10%，峰值放能效率为 5.7%，这突出表明它具有利用太阳能进行蒸馏的卓越能力。

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引用次数: 0