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Heat transfer characteristics of a turbulent swirl jet issuing from a circular nozzle 从圆形喷嘴喷出的湍流漩涡射流的传热特性
Q1 Chemical Engineering Pub Date : 2024-10-06 DOI: 10.1016/j.ijft.2024.100906
Experimental and numerical studies on the flow field and cooling performance of a swirling jet, impinging on a flat surface is presented. A new nozzle that resembles the swirl injector of a liquid propellant rocket engine is used. This study considers different parameters including swirl number(S), Reynolds number(Re), normalised orifice to target spacing (Z/D) and confinement. The performance of various RANS and LES turbulence models is assessed using the data obtained from present experimental studies and that reported in literature. RNG k-ϵ turbulent model is successful in predicting heat transfer in non swirling flow. In the case of swirling flow, LES WALEM(Wall Adapting Local Eddy viscosity Model) predicts the heat transfer better than the other models. The performance of Swirling Impinging Jets(SIJ) and Cylindrical Impinging Jets (CIJ) is compared. At higher Z/D, introduction of swirl results in reduction in heat transfer and this is because of the increased spreading of the jet and reduction in velocity of the jet impinging on the target. Better performance is achieved at lower Z/D when a cylindrical jet is introduced with a small amount of swirl. For Z/D = 2 and S = 0.2, the peak Nu increases by 10 % and average Nu in the stagnation region increases by 6 % in comparison to CIJ. The position of the peak Nu moves away from the axis of the jet and there is better uniformity in Nu in the stagnation region. For Z/D = 2 swirling flow creates secondary peak(which usually occurs at high Re)even at low Re. At very low Z/D, top wall confinement causes increase in both peak heat transfer and average heat transfer in the stagnation region.
本文介绍了对冲击平面的漩涡射流的流场和冷却性能进行的实验和数值研究。研究使用了一种类似于液体推进剂火箭发动机漩涡喷射器的新型喷嘴。本研究考虑了不同的参数,包括漩涡数(S)、雷诺数(Re)、归一化喷口与目标间距(Z/D)和约束。利用目前实验研究获得的数据和文献报道的数据,对各种 RANS 和 LES 湍流模型的性能进行了评估。RNG k-ϵ 湍流模型成功地预测了非漩涡流中的热传递。在漩涡流情况下,LES WALEM(壁面适应局部涡流粘度模型)比其他模型能更好地预测传热。对漩涡撞流(SIJ)和圆柱撞流(CIJ)的性能进行了比较。当 Z/D 值较高时,漩涡的引入会导致传热量的减少,这是因为射流的扩散会增加,撞击目标的射流速度会降低。在较低的 Z/D 条件下,引入少量漩涡的圆柱形射流可获得更好的性能。与 CIJ 相比,Z/D = 2 和 S = 0.2 时,峰值 Nu 增加了 10%,停滞区的平均 Nu 增加了 6%。峰值 Nu 的位置远离喷流的轴线,停滞区的 Nu 更为均匀。当 Z/D = 2 时,漩涡流产生次峰值(通常出现在高 Re 值时),即使在低 Re 值时也是如此。在 Z/D 很低的情况下,顶壁限制会导致停滞区的传热峰值和平均传热峰值增加。
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引用次数: 0
Simulation approaches for the study of the oil flow rate distribution in lubricating systems with rotating shafts 研究带旋转轴的润滑系统中油流量分布的模拟方法
Q1 Chemical Engineering Pub Date : 2024-10-05 DOI: 10.1016/j.ijft.2024.100904
This study addresses the issue of predicting the distribution of lubricant flow through the outlets of a rotating shaft used in vehicle power transmission. A typical geometry with closely spaced rows of holes, suitable for the lubrication of multi-disk clutches, was considered. Both lumped parameter and computational fluid dynamics approaches were applied and compared. The test rig for model validation was designed with a variable speed shaft featuring an axial oil inlet and three equally spaced pairs of radial outlet holes. The main characteristic of the experimental facility is the possibility to selectively measure the flow rates through each outlet. It was found that the three-dimensional model based on the multiple reference frame approach provides a reliable prediction of how the flow rate is distributed. Generally, the flow rate is lower through the outlet closest to the inlet and is maximum at the farthest exit. The flow distribution is minimally affected by the shaft speed. The influence of geometric parameters on making the flow distribution more uniform was studied. It was found that a better flow balance is obtained with a low ratio between the diameter of the radial holes and that of the axial channel. The results obtained offer best-practice guidelines for accurately simulating comparable systems, in order to optimize reliability of the mechanical transmission and energy efficiency of the flow generation unit.
本研究探讨了如何预测汽车动力传动中使用的旋转轴出口处的润滑油流分布。研究考虑了一种典型的几何形状,该几何形状具有紧密间隔的多排孔,适用于多盘离合器的润滑。应用并比较了集合参数法和计算流体动力学法。为验证模型而设计的试验台具有一个轴向进油口和三对等距径向出油孔的变速轴。实验设备的主要特点是可以选择性地测量通过每个出口的流量。研究发现,基于多参考框架方法的三维模型可以可靠地预测流量的分布情况。一般来说,通过最靠近入口的出口的流速较低,而通过最远出口的流速最大。流量分布受轴转速的影响很小。研究了几何参数对使流量分布更均匀的影响。研究发现,径向孔直径与轴向通道直径的比值越小,流动平衡性越好。所获得的结果为准确模拟类似系统提供了最佳实践指南,从而优化机械传动的可靠性和流量产生装置的能效。
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引用次数: 0
Development of a two-stage thermoacoustic refrigerator prototype 开发两级热声冰箱原型
Q1 Chemical Engineering Pub Date : 2024-10-05 DOI: 10.1016/j.ijft.2024.100903
A traveling-wave thermoacoustic refrigerator is a potential cooling option for electronics enclosures. The main advantage of this type of refrigerator is the lack of moving parts, which makes it a maintenance-free application. The design and laboratory implementation of a travelling-wave thermoacoustic refrigerator is studied and presented in this paper. The matching between the thermoacoustic refrigerator and a pair of linear motors is investigated. A model of the refrigerator was first developed via DeltaEC simulations and then validated experimentally. A final configuration comprising of a two-stage refrigerator driven by two linear motors is presented. The model of the refrigerator runs at a frequency of 60 Hz, and it is able to generate a cooling power of 446 W at a cooling temperature of 0 °C. The setup and instrumentation of the apparatus is explained in detail. Experimentally, the refrigerator's maximum cooling load was 298 W, and the lowest cooling temperature achieved was -0.2 °C. At the maximum cooling power, the COP is 2.35.
行波热声冰箱是电子设备外壳的一种潜在冷却选择。这种制冷器的主要优点是没有活动部件,因此可以免维护。本文研究并介绍了行波热声制冷器的设计和实验室实施。本文还研究了热声冰箱与一对直线电机之间的匹配问题。首先通过 DeltaEC 仿真建立了冰箱模型,然后进行了实验验证。最终提出了一种由两个线性电机驱动的两级冰箱配置。该冰箱模型的运行频率为 60 赫兹,在冷却温度为 0 °C时能够产生 446 W 的制冷功率。详细介绍了设备的设置和仪器。实验中,冰箱的最大制冷负荷为 298 W,最低制冷温度为 -0.2 °C。在最大制冷功率下,COP 为 2.35。
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引用次数: 0
Effect of thermal radiation and inclined magnetic field on thermosolutal mixed convection in a partially active wavy trapezoidal enclosure filled with hybrid nanofluid 热辐射和倾斜磁场对充满混合纳米流体的部分活动波浪形梯形围壳中热固混合对流的影响
Q1 Chemical Engineering Pub Date : 2024-10-05 DOI: 10.1016/j.ijft.2024.100888
This work focuses on the examination of the magneto-thermosolutal convection in a lid-driven wavy trapezoidal enclosure in the presence of thermal radiation. The wavy cavity is filled with radiative Fe3O4-Cu-H2O hybrid nanoliquid. In this work, two cases are considered depending on the location of heat and concentration sources. A portion of the vertical walls are kept hot and in high concentration while the remaining parts are in adiabatic condition. The adiabatic flat upper lid is moving towards the right with equal speed. In addition, the lower wavy border is cold and low concentration. The governing Navier–Stokes equations are modeled to describe thermosolutal phenomena within the wavy enclosure. These equations are solved by reconstructing a recently developed compact scheme. Computed outcomes are presented in terms of streamlines, isotherms, iso-concentrations, average Nusselt and Sherwood numbers to evoke the thermosolutal phenomena for various physical parameters. Also, computing in-house code is validated with the published numerical and experimental and literatures. This investigation surveys the roles of several well-defined parameters such as Richardson number (Ri), Lewis number (Le), Buoyancy ratio number (N), Radiation parameter (Rd), Hartmann number (Ha), inclination of angle (γ), undulation of the wavy surface (d) and solid volume fraction (ϕhnp) of the hybrid nanofluid. An increase in the Lewis number (Le) enhances species diffusion within the system but diminishes thermal transport. This work reveal that a change in ϕhnp from 0% to 4%, heat transfer is upgraded up to 4.28% in Case I and 3.93% in Case II while mass transfer is declined by 2.24% in Case I and 1.60% in Case II. Results indicate that Case I performed better than Case II in the case of energy and solutal transfer. This work has many practical applications such as heat exchangers, electronic device cooling, food processing and porous industrial processes.
这项工作的重点是研究存在热辐射时,盖子驱动的波浪形梯形外壳中的磁热对流。波浪形腔体中充满了辐射型 Fe3O4-Cu-H2O 混合纳米液体。在这项工作中,根据热源和浓度源的位置考虑了两种情况。一部分垂直壁保持高温和高浓度,其余部分处于绝热状态。绝热的平坦上盖以相同的速度向右移动。此外,下部波浪形边界处于低温和低浓度状态。纳维-斯托克斯(Navier-Stokes)方程是用来描述波浪形外壳内的热固性现象的模型。这些方程是通过重构最近开发的紧凑型方案求解的。计算结果以流线、等温线、等浓度、平均努塞尔特数和舍伍德数的形式呈现,以唤起各种物理参数下的热溶解现象。此外,内部计算代码还与已发表的数值、实验和文献进行了验证。本研究调查了几个定义明确的参数的作用,如混合纳米流体的理查森数(Ri)、路易斯数(Le)、浮力比数(N)、辐射参数(Rd)、哈特曼数(Ha)、倾角(γ)、波浪表面起伏(d)和固体体积分数(jhnp)。路易斯数(Le)的增加会增强系统内的物种扩散,但会减弱热传输。这项研究表明,当路易斯数从 0% 变为 4% 时,情况 I 和情况 II 的热传递分别提高了 4.28% 和 3.93%,而情况 I 和情况 II 的质量传递分别降低了 2.24% 和 1.60%。结果表明,在能量和溶质传输方面,案例 I 的表现优于案例 II。这项工作有许多实际应用,如热交换器、电子设备冷却、食品加工和多孔工业流程。
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引用次数: 0
Renewable energy technology diffusion model: Evaluation of financial incentives in the electricity market of ecuador 可再生能源技术推广模型:评估厄瓜多尔电力市场的财政激励措施
Q1 Chemical Engineering Pub Date : 2024-10-04 DOI: 10.1016/j.ijft.2024.100884
This paper develops a simulation model using the System Dynamics paradigm to evaluate the effect of applying financial incentives on the diffusion of non-conventional renewable energy technologies in the Ecuadorian electricity market. The barriers to the diffusion of renewable energies are studied, the diffusion models are characterised, and the model is built with market variables and financial indicators integrated into its base structure. The Ecuadorian electricity market is described as a case study focusing on the incentive scheme. Based on investment, generation, and indirect incentives, this scheme plays a crucial role in promoting renewable energy technologies. Different long-term diffusion scenarios are simulated and compared with each other and with the baseline scenario to obtain diffusion rates and financial information for five renewable generation technologies: non-conventional hydro, wind, solar photovoltaic, biomass, and geothermal. The results of the simulations show that the combination of incentives leads to high diffusion rates, reassuring the audience about the potential impact of the proposed model. However, the feed-in tariff and tradable green certificate incentives are the most effective in promoting the use of renewable energy. For the Ecuadorian electricity market, the results show that wind and biomass technologies would be the most profitable, as opposed to geothermal energy, whose diffusion will not be feasible within the simulated period.
本文利用系统动力学范式建立了一个模拟模型,以评估在厄瓜多尔电力市场中采用财政激励措施对非常规可再生能源技术推广的影响。研究了可再生能源推广的障碍,分析了推广模型的特点,并将市场变量和财务指标纳入模型的基础结构。厄瓜多尔电力市场是一个案例研究,重点是激励计划。该计划以投资、发电和间接激励为基础,在推广可再生能源技术方面发挥着至关重要的作用。对不同的长期推广方案进行了模拟,并与其他方案和基准方案进行了比较,以获得五种可再生能源发电技术的推广率和财务信息:非常规水力发电、风力发电、太阳能光伏发电、生物质发电和地热发电。模拟结果表明,激励措施的组合可带来较高的推广率,这让受众对拟议模型的潜在影响感到放心。然而,上网电价和可交易绿色证书激励措施在促进可再生能源的使用方面最为有效。就厄瓜多尔电力市场而言,结果表明,风能和生物质能技术将是最有利可图的,而地热能则不然,因为在模拟期内推广地热能是不可行的。
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引用次数: 0
Hydrothermal behaviour of hybrid nanofluid flow in two types of shell and helical coil tube heat exchangers with a new design. Numerical approach 新型设计的两种壳管和螺旋盘管热交换器中混合纳米流体流动的水热效应。数值方法
Q1 Chemical Engineering Pub Date : 2024-10-03 DOI: 10.1016/j.ijft.2024.100902
High-efficiency thermal energy systems are very important in meeting the growing demand for thermal energy. As a result, several heat transfer improvements have been proposed. Some promising methods include flow heat transfer in shell and spiral tube exchangers.In a shell-and-coil heat exchanger, utilizing a meticulously designed coil instead of a basic one significantly boosts heat transfer and overall thermal efficiency. This is due to the enhanced fluid dynamics and increased turbulence facilitated by the advanced coil design, making it ideal for space-constrained applications. Moreover, the helical configuration helps minimize fouling and maintenance, and may also provide self-cleaning benefits. Consequently, helical coils are highly regarded in industrial contexts for their superior performance, maintenance ease, and design adaptability.This study conducts a numerical evaluation of the heat transfer and fluid flow properties of two distinct shell-and-coil heat exchangers with specialized designs. The fluids analyzed include water-based hybrid nanofluids, specifically Water/MgO-TiO2and Ag-HEG/water, with results compared to those obtained using pure water. The investigation spans Reynolds numbers from 500 to 2000 and is divided into two segments.The first segment examines the influence of spiral coil geometry and fluid type on the heat exchanger's endothermic performance, utilizing nanoparticle volume concentrations of φ1 = φ2 = 0.3. In the second segment, the optimal geometric and fluid model is chosen based on the findings from the first part. Following this, the impact of various hybrid nanofluids on thermal performance is assessed, comparing fluids with volume concentrations of φ1 = φ2 = 0.3 to pure water (φ1 = φ2 = 0).The findings reveal that Case [A], featuring a unique geometry with Water/Ag_HEG, achieves the highest thermal performance across all examined Reynolds numbers. At the lowest Reynolds number, the thermal efficiency improvements for Case [A], Case [B], and Case [C] were 137 %, 113 %, and 56 %, respectively, compared to the baseline. Additionally, the second part of the study demonstrates that at the lowest Reynolds number, the thermal efficiencies of Water/MgO-TiO2 and Water/Ag_HEG nanohybrid fluids increased by 76 % and 49 %, respectively.
高效热能系统对于满足日益增长的热能需求非常重要。因此,人们提出了一些改进传热的方法。在壳盘管式热交换器中,利用精心设计的盘管而不是基本的盘管,可以显著提高传热效率和整体热效率。这是由于先进的盘管设计增强了流体动力学并增加了湍流,使其成为空间受限应用的理想选择。此外,螺旋结构有助于最大限度地减少污垢和维护,还能提供自清洁功能。因此,螺旋盘管因其卓越的性能、易于维护和设计适应性而在工业领域备受推崇。本研究对两种不同的特殊设计的壳盘管式热交换器的传热和流体流动特性进行了数值评估。分析的流体包括水基混合纳米流体,特别是水/MgO-TiO2 和 Ag-HEG/水,并将结果与使用纯水获得的结果进行比较。研究的雷诺数范围从 500 到 2000,分为两个部分。第一部分利用φ1 = φ2 = 0.3 的纳米粒子体积浓度,研究螺旋盘管的几何形状和流体类型对热交换器内热性能的影响。在第二部分,根据第一部分的研究结果选择最佳几何和流体模型。随后,通过比较体积浓度为 φ1 = φ2 = 0.3 的流体和纯水(φ1 = φ2 = 0),评估了各种混合纳米流体对热性能的影响。在最低雷诺数下,与基线相比,情况[A]、情况[B]和情况[C]的热效率分别提高了 137%、113% 和 56%。此外,研究的第二部分表明,在最低雷诺数下,水/氧化镁-二氧化钛和水/银_高纯锗纳米混合流体的热效率分别提高了 76% 和 49%。
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引用次数: 0
Thermo-economic investigation and comparative multi-objective optimization of dual-pressure evaporation ORC using binary zeotropic mixtures as working fluids for geothermal energy application 使用二元各向同性混合物作为地热能应用工作流体的双压蒸发 ORC 的热经济学研究与多目标比较优化
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100899
This contribution performs an energy, exergy, and exergoeconomic (3E) analysis of a dual-pressure evaporation organic Rankine cycle system employing twenty different binary zeotropic mixtures as working fluids for power production from a geothermal field. To this end, the designed system is modeled, invoking the mass and energy conservation laws and the exergy and cost balance analyses. Specific Exergy Costing (SPECO) procedure is utilized to provide practical insights into the exergoeconomic aspect of the system. Comparative optimization based on the multi-objective genetic algorithm is accomplished for each mixture in order to simultaneously maximize the exergy efficiency and minimize the total cost rate using the design variables of pressure factor in low-pressure and high-pressure stages, mixture fraction, pinch point temperature differences in low-pressure and high-pressure heat exchangers, and degree of superheat in the high-pressure heat exchanger. In this regard, the Pareto frontiers are drawn for the system with all twenty different binary zeotropic mixtures. The optimal point for each mixture is obtained via the decision-making technique of LINMAP. Subsequently, the LINMAP is re-utilized to find the preferred mixture. The optimization results suggest the R123/C2Butene (96.89/3.11) mixture for this system as the optimum working fluid, considering a trade-off between a low-cost rate of $88.0651 per hr and a high exergy efficiency of 64.07 %. Finally, the exergy flow diagram is plotted to provide the exergy flow rate and the amount of exergy destruction in each segment of the system considering the optimal working fluid. In the proposed system, exergy destruction chiefly occurs within the low-pressure preheater with a value of 1061 kW, followed by the low-pressure turbine and condenser with magnitudes of about 669 kW and 266 kW, respectively.
这篇论文对双压蒸发有机郎肯循环系统进行了能量、放能和放能经济(3E)分析,该系统采用二十种不同的二元各向同性混合物作为工作流体,用于地热田发电。为此,对所设计的系统进行了建模,引用了质量和能量守恒定律,并进行了放能和成本平衡分析。利用特定能耗成本计算(SPECO)程序,对系统的能耗经济性进行了深入分析。基于多目标遗传算法对每种混合物进行了比较优化,以便利用低压和高压阶段的压力系数、混合物分数、低压和高压热交换器的夹点温差以及高压热交换器的过热度等设计变量,同时实现能效最大化和总成本费用最小化。为此,绘制了包含所有 20 种不同二元各向同性混合物的系统的帕累托前沿。通过 LINMAP 决策技术得出每种混合物的最佳点。随后,再次利用 LINMAP 找到首选混合物。优化结果表明,考虑到每小时 88.0651 美元的低成本和 64.07 % 的高能效之间的权衡,该系统的最佳工作流体为 R123/C2Butene (96.89/3.11) 混合物。最后,考虑到最佳工作流体,绘制了放能流程图,以提供系统各部分的放能流量和放能破坏量。在建议的系统中,放能破坏主要发生在低压预热器中,其值为 1061 千瓦,其次是低压涡轮机和冷凝器,分别约为 669 千瓦和 266 千瓦。
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引用次数: 0
Entropy analysis of MHD hybrid nanofluid in a rotating channel filled with porous material 充满多孔材料的旋转通道中的 MHD 混合纳米流体的熵分析
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100887
This study investigates entropy generation of MHD hybrid nanofluid in a rotating channel filled with porous material. The hybrid nanofluid, which uses Cu and alumina nanoparticles along with water as the base fluid, has been used. The hybrid model equations were solved numerically using MATLAB’s ode15s which employs Runge-Kutta–Fehlberg scheme. Effects of entropy generation and other system variables were investigated. Parametric analysis reveals that, hybrid nanofluids show better heat transport capacities with a higher Nusselt number than Cu–water and alumina-water nanofluids. Thus, because of its improved thermal characteristics, the hybrid nanofluid transfers more heat, which makes it a better option for applications that need effective heat dissipation. The results show that, increasing the Biot number reduces temperature, while hybrid nanofluids yield a higher Bejan number, indicating more efficient heat transfer with minimized entropy generation. The study identifies increased friction between fluid and porous media as the cause of temperature rise with higher porous media resistance and shape factor parameters. It is also depicted that, the rate of entropy generation decreases as the Biot number Bi rises, this happens as a result of the channel’s temperature gradient being less pronounced at higher Bi, which reduces thermal irreversibility and, in turn, entropy generation. The findings also demonstrate that the presence of a magnetic field reduces axial velocity while increasing transverse velocity. Consequently, skin friction increases in the axial direction and decreases in the transverse direction. In addition, the increase of rotational parameter has been found to reduce skin friction to the greatest extent. These findings underscore the potential of hybrid nanofluids in optimizing thermal systems by reducing entropy generation and enhancing heat transfer efficiency.
本研究探讨了在充满多孔材料的旋转通道中 MHD 混合纳米流体的熵产生。混合纳米流体使用铜和氧化铝纳米颗粒以及水作为基础流体。使用 MATLAB 的 ode15s 对混合模型方程进行了数值求解,它采用了 Runge-Kutta-Fehlberg 方案。研究了熵生成和其他系统变量的影响。参数分析表明,与铜水纳米流体和氧化铝水纳米流体相比,混合纳米流体显示出更好的热传输能力和更高的努塞尔特数。因此,由于混合纳米流体具有更好的热特性,它能传递更多的热量,这使其成为需要有效散热的应用领域的更好选择。研究结果表明,提高贝奥特数可降低温度,而混合纳米流体的贝扬数较高,这表明其热传导效率更高,熵的生成量最小。研究发现,随着多孔介质阻力和形状系数参数的增加,流体与多孔介质之间的摩擦力也会增加,这是导致温度上升的原因。研究还表明,随着比奥特数 Bi 的升高,熵的产生率会降低,这是由于 Bi 越高,通道的温度梯度越小,从而降低了热不可逆性,进而降低了熵的产生。研究结果还表明,磁场的存在降低了轴向速度,同时增加了横向速度。因此,轴向表皮摩擦增加,横向表皮摩擦减少。此外,还发现旋转参数的增加在最大程度上减少了表皮摩擦。这些发现强调了混合纳米流体通过减少熵的产生和提高传热效率来优化热系统的潜力。
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引用次数: 0
Enhancing the performance of solar stills using heating components: A comprehensive review 利用加热元件提高太阳能蒸馏器的性能:全面回顾
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100900
Addressing the global water scarcity crisis requires innovative solutions in water treatment. Desalination offers a reliable and independent water source; however, challenges such as high energy consumption, environmental impact, and cost need to be addressed. Recent use of solar stills and other renewable energy integrations can significantly mitigate these issues. This review explores the advancements and modifications in solar still designs for heating components to enhance water desalination efficiency and productivity. The components discussed for heating or thermal management systems include nanomaterials, wicks, heat exchangers, phase change materials (PCMs), electric heaters, waste heat recovery systems, and photovoltaic cells. Innovations in cover materials and shapes impact factors such as heat absorption and condensation efficiency, contributing to overall improvements in freshwater yield. Solar stills with rotating cylinders were also used to increase surface area, which increased efficiency. Furthermore, various factors were studied, including wick materials, which contributed to a 27.65 % increase in productivity. Solar setups increase productivity by 214 % by improving heat transfer and energy efficiency. Immersed heaters have significantly increased productivity by 370 % in double-slope stills, 252.4 % in single-slope stills, and 232.9 % in hemispherical stills. Overall, the diverse landscape of innovations showcased in this review underscores the ongoing efforts to optimize solar stills for sustainable and efficient water desalination.
解决全球缺水危机需要创新的水处理解决方案。海水淡化提供了一种可靠而独立的水源;然而,高能耗、环境影响和成本等挑战也亟待解决。最近使用的太阳能蒸馏器和其他可再生能源集成可以大大缓解这些问题。本综述探讨了太阳能蒸馏器加热组件设计的进步和改进,以提高海水淡化效率和生产率。讨论的加热或热管理系统组件包括纳米材料、灯芯、热交换器、相变材料 (PCM)、电加热器、废热回收系统和光伏电池。盖子材料和形状的创新影响着吸热和冷凝效率等因素,有助于全面提高淡水产量。还使用了带有旋转圆筒的太阳能蒸馏器来增加表面积,从而提高效率。此外,还对包括灯芯材料在内的各种因素进行了研究,这些因素使生产率提高了 27.65%。太阳能装置通过提高传热和能源效率,使生产率提高了 214%。浸入式加热器使双斜蒸馏器的生产率大幅提高了 370%,单斜蒸馏器提高了 252.4%,半球蒸馏器提高了 232.9%。总之,本综述中展示的创新成果多种多样,突出表明了人们正在努力优化太阳能蒸馏器,以实现可持续和高效的海水淡化。
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引用次数: 0
Numerical and artificial neural network inspired study on step-like-plenum battery thermal management system 受数值和人工神经网络启发的阶梯式电池热管理系统研究
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100897
This study leverage numerical simulation (NS) and artificial neural network (ANN) capabilities to carry out additional investigations on step-like plenum battery thermal management system (BTMS). Different cooling strategies have been developed over the years in BTMSs’ design. Yet, air-cooling strategies still remains relevant, especially in battery-powered aircrafts, where light-weight is important and air is the preferred cooling fluid. Hence, additional study become necessary especially on the step-like plenum design to provide more insight on the performance of the design by considering several number of step, varied air inlet temperature and velocity. Computational fluid dynamics (CFD) approach was employed to obtained results for different number of step; Ns = 1,  3,  4,  7,  9,  15 and 19, varied air inlet temperature; Ti = 278,  298 and 318 K, and varied air inlet velocity; Vi = 3,  3.5,  4,  5 and 6 m/s. Artificial Neural Network (ANN) approach was then employed to predict the BTMSs’ performance for additional values of Ti and Vi. Minimum temperature (Tmin), maximum temperature (Tmax), maximum temperature difference (ΔTmax) and pressure drop (ΔP) were computed. By comparing the CFD results with the result predicted by the ANN, the percentage difference, for the entire dataset were 0.01 %, 0.005 %, 1 % and 0.14 % for Tmax, Tmin ΔTmax and ΔP, respectively. Based on the optimum design parameters predicted using ANN, for Tmax = 299.24 comprises Ns = 4, Vi = 6 m/s and Ti = 278 K, while for ΔP, comprises Ns = 1, Vi = 3 m/s and Ti = 318 K.
本研究利用数值模拟(NS)和人工神经网络(ANN)的功能,对阶梯式风箱电池热管理系统(BTMS)进行了进一步研究。多年来,在 BTMS 的设计中开发了不同的冷却策略。然而,空气冷却策略仍然适用,特别是在电池驱动的飞机上,因为在这种飞机上,轻量化非常重要,而空气是首选的冷却流体。因此,有必要进行更多的研究,尤其是对阶梯式风箱设计进行研究,以便通过考虑多个阶梯、不同的进气温度和速度,对该设计的性能有更深入的了解。我们采用了计算流体动力学(CFD)方法,以获得不同台阶数(Ns = 1、3、4、7、9、15 和 19)、不同进气温度(Ti = 278、298 和 318 K)和不同进气速度(Vi = 3、3.5、4、5 和 6 m/s)的结果。然后,采用人工神经网络(ANN)方法来预测 BTMS 在 Ti 和 Vi 附加值下的性能。计算了最低温度 (Tmin)、最高温度 (Tmax)、最大温差 (ΔTmax) 和压降 (ΔP)。通过比较 CFD 结果和 ANN 预测结果,在整个数据集中,Tmax、Tmin ΔTmax 和 ΔP 的百分比差异分别为 0.01%、0.005%、1% 和 0.14%。根据 ANN 预测的最佳设计参数,Tmax = 299.24 包括 Ns = 4、Vi = 6 m/s 和 Ti = 278 K,而 ΔP 包括 Ns = 1、Vi = 3 m/s 和 Ti = 318 K。
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International Journal of Thermofluids
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