High-performance Multicrystalline Silicon Ingots Assisted by Recycled Multicrystalline Silicon Block Tailing as Seeds

Silicon - Nowadays, casted multicrystalline silicon is the most important material in photovoltaic industry. In order to reduce the cost of silicon ingots, the recycle of silicon ingot tailings is...     

Electrolytic cell engineering and device optimization for electrosynthesis of e-biofuels via co-valorisation of bio-feedstocks and captured CO2

Utilizing CO₂ in an electro-chemical process and synthesizing value-added chemicals are amongst the few viable and scalable pathways in carbon capture and utilization technologies.CO₂ electro-reduction is also counted as one of the main options entailing less fossil fuel consumption and as a future electrical energy storage strategy.The current study aims at developing a new electrochemical platform to produce low-carbon e-biofuel through multifunctional electrosynthesis and integrated co-valorisation of biomass feedstocks with captured CO₂.In this approach,CO₂ is reduced at the cathode to produce drop-in fuels(e.g.,methanol)while value-added chemicals(e.g.,selective oxidation of alcohols,aldehydes,carboxylic acids and amines/amides)are produced at the anode.In this work,a numerical model of a continuous-flow design considering various anodic and cathodic reactions was built to determine the most techno-economically feasible configurations from the aspects of energy efficiency,environment impact and economical values.The reactor design was then optimized via parametric analysis.     

Efficient MgO-doped CaO sorbent pellets for high temperature CO2 capture

Novel MgO-doped CaO sorbent pellets were prepared by gel-casting and wet impregnation. The effect of Na⁺ and MgO on the structure and CO₂ adsorption performance of CaO sorbent pellets was elucidated. MgO-doped CaO sorbent pellets with the diameter range of 0.5-1.5 mm exhibited an excellent capacity for CO₂ adsorption and adsorption rate due to the homogeneous dispersion of MgO in the sorbent pellets and its effects on the physical structure of sorbents. The results show that MgO can effectively inhibit the sintering of CaO and retain the adsorption capacity of sorbents during multiple adsorption-desorption cycles. The presence of mesopores and macropores resulted in appreciable change of volume from CaO (16.7 cm³∙mol⁻¹) to CaCO₃ (36.9 cm³∙mol⁻¹) over repeated operation cycles. Ca2Mg1 sorbent pellets exhibited favorable CO₂ capture capacity (9.49 mmol∙g⁻¹), average adsorption rate (0.32 mmol∙g⁻¹∙min⁻¹) and conversion rate of CaO (74.83%) after 30 cycles.     

CO2体积分数对燃煤细颗粒物在水汽环境中凝结长大的影响

为研究燃煤烟气中CO₂体积分数对细颗粒物在水汽环境中凝结长大效果的影响,建立了计算模型并搭建了实验平台,分别从理论计算和实验研究两方面探讨了CO₂体积分数对细颗粒物凝结长大效果的影响。结果表明:随着CO₂体积分数升高,混合烟气的热、质扩散系数均降低,生长管内平均过饱和度增加,细颗粒物长大效果明显;管壁温度越高,随着CO₂体积分数的提高,细颗粒物粒径越大。     

某消防值班楼框架结构Revit正向设计的应用

为验证结构专业BIM正向设计的可行性,在德阳某±500 kV换流站消防驻站值班楼结构的设计中,采用Revit完成结构的布置设计,导入PKPM后处理模块生成的柱、梁、板二维配筋图,在Revit中创建了楼梯图纸、二维节点详图和梁柱截面配筋图.采用Revit软件完成全部结构施工图绘制,且未采用任何插件.提出若采用Revit软件进行BIM正向设计,需要积累和完善二维详图,且有必要开发插件在完成布置设计后读取PKPM的配筋结果,以方便地在Revit中生成平法配筋图.     

壁挂式空调新风模块气动性能优化研究

随着人们对健康的室内家居环境要求提高,当下室内新风换气量无法有效地改善室内空气品质.为了保证室内有效的通风换气,提供充足的新风量,提高产品竞争力,以某壁挂式新风空调器为研究对象,通过优化其内部多翼离心风机模块中各部件气流风阻,从进风管、进气腔、新风滤网等组件进行低阻抗气流改善设计.经过手板验证后,在相同转速下新风量提升约33％;同时在满足充足新风量的情况下,改善了内部气流均匀性,保证了同转速相当的噪音品质.     

壁挂式空调新风模块气动性能优化研究

随着人们对健康的室内家居环境要求提高,当下室内新风换气量无法有效地改善室内空气品质.为了保证室内有效的通风换气,提供充足的新风量,提高产品竞争力,以某壁挂式新风空调器为研究对象,通过优化其内部多翼离心风机模块中各部件气流风阻,从进风管、进气腔、新风滤网等组件进行低阻抗气流改善设计.经过手板验证后,在相同转速下新风量提升约33％;同时在满足充足新风量的情况下,改善了内部气流均匀性,保证了同转速相当的噪音品质.     

壁挂式空调器电辅热噪声改善与研究

壁挂式空调器通常加装PTC电辅热对低温制热进行补偿,以提升制热效果和速度;但在低温、低转速情况下,开启电辅热,室内机经常出现异常噪声,影响用户使用和体验.基于CFD数值仿真和实验验证,对电辅热不同形式、不同加装位置进行验证和分析,确定电辅热形状、位置对风量、噪声、凝露等方面影响,通过优化电辅热布局,有效降低因开电辅热引起的宽频均值频率,同时明显风量提升,改善音质,对后续电辅热位置的设计具有指导意义.     

IE5能效等级三相异步电动机的研制

IE5为国际电工委员会(IEC)于2016年发布的目前全球最高的电动机能效等级。针对IE5能效等级目标开展了三相异步电动机研制。在设计方面,主要考虑采用优质的冷轧硅钢片,尝试不同风扇结构型式和不等匝绕组型式,并针对小功率电机考虑采用铸铜转子工艺方案,降低了电机损耗。在工艺方面,主要考虑提高加工精度,减小定、转子冲片毛刺等,进一步降低电机的空载损耗。样机测试结果表明,效率、功率因数、起动电流、起动转矩、最大转矩、温升等指标均达到设计要求,实现了IE5能效等级三相异步电动机研制目标。     

Simulation Method of Dynamic Characteristics of Turbine Flow Sensor

Computational Fluid Dynamics (CFD) simulation is one of the important methods to study the performance and in-fluencing factors of turbine flow sensors. According to the working characteristics of the turbine flow sensor, the passive simulation method based on the six degrees of freedom (6-DOF) model and dynamic mesh is proposed in this paper. The reliability of the simulation method is verified by steady-state experiments and unsteady-state experiments. The results show that the trend of meter factor with flow rate acquired from the simulation is close to the experimental results, and the deviation between the simulation result and the experiment result is low with a maximum deviation of 2.88%. In the unsteady simulation study, the impeller speed changes with the inlet velocity of the turbine flow sensor, which has a good follow-up. The passive simulation method can be used to predict the dynamic performance of the turbine flow sensor.