变性淀粉对肌原纤维蛋白凝胶特性的影响

分别将0%、4%、6%、8%、10%和12%的玉米原淀粉、玉米乙酰化二淀粉磷酸酯、木薯乙酰化双淀粉己二酸酯淀粉(acetylated distarch adipate,ADA)、木薯醋酸酯变性淀粉(starch acetate,SA)添加到肌原纤维蛋白溶液中,制备淀粉-蛋白复合物并测定流变特性、凝胶强度、保水性和水分子弛豫时间等指标。结果表明:添加淀粉可显著提高肌原纤维蛋白的储能模量G′,G′在42℃左右开始增加,此时肌原纤维蛋白开始变性形成凝胶,添加变性淀粉可显著延迟肌原纤维蛋白的变性温度(43~46℃)。变性淀粉添加量为8%时淀粉-蛋白复合物凝胶强度均达到最大,而原淀粉对肌原纤维蛋白的凝胶强度影响不显著(P>0.05)。添加变性淀粉的复合凝胶保水性比原淀粉保水性高约13%(P<0.05),SA-蛋白复合物与ADA-蛋白复合物保水性最高。核磁共振分析表明T2弛豫时间随变性淀粉添加量增大而减小,T22向快弛豫方向移动,说明变性淀粉的添加降低了水分子的移动性。因此,ADA-蛋白复合物对肌原纤维蛋白的流变性、凝胶强度、保水性和水分迁移影响最显著,添加10%以内变性淀粉可显著提高肌原纤维蛋白的G′和保水性,同时增大凝胶强度,降低水分迁移速率。     

基于CNN-Bi-LSTM的太阳辐照度超短期预测

针对太阳辐射引起光伏出力的不确定性和波动性,进而造成大量光伏发电并网时对电网稳定性和安全的危害,提出一种新的太阳辐射超短期预测方法.该方法通过构建一维卷积神经网络,对多个关键气象变量进行数据融合和特征转换,然后构造双向长短期记忆网络预测模型,实现对未来15 min的太阳总辐照度的超短期预测.实验结果表明,所提出的预测模...     

考虑源荷不确定的多园区微网与共享储能电站协同优化运行

共享储能作为一种新兴能源存储技术正在迅速发展。为提高含共享储能电力系统的经济性,提出一种基于源荷不确定性的两阶段鲁棒多园区微网与共享储能合作博弈模型。首先,建立共享储能主体和各园区微网主体间的电能交易优化运行模型。其次,考虑可再生能源及负荷的不确定性,建立园区微网的两阶段鲁棒调度模型。然后,基于纳什谈判理论建立多园区微网-共享储能多主体合作运行模型,并将其等效为合作成本最小化子问题与电能谈判支付子问题。为了保护各主体隐私,运用交替方向乘子法对上述两个子问题进行分布式求解。最后,通过算例验证所提合作运行模型以及分布式算法的有效性。仿真结果表明共享储能与各园区微网协同优化运行能够减少各主体的运行成本。     

Compositional effect on oxygen reduction reaction in Pr excess double perovskite Pr1+xBa1-xCo2O6-δ cathode materials

The kinetics of oxygen reduction reaction (ORR), being a prime requisite for electrode materials after the higher conductivity. Further, electrodes are observed to dissolute on reaction at triple phase boundary. However, the compositional effect on ORR is least understood. In order to inspect the ORR mechanism with substitution, a series of (1 + x) PrCoO₃ − (1 − x) BaCoO₃ (x = 0.2 to 1.0 with step of 0.2) compositions are prepared using conventional solid-state route method. The Rietveld refinement of X-ray diffractograms and specific heat curves confirms the formation of double phase comprising orthorhombic Pmmm phase corresponding to PrBaCo₂O_6-δ and Pnma phase corresponding to PrCoO₃ for x = 0.2 to 0.8 with well connected and porous microstructure. The triple phase boundary reactions suggest the formation of Co(OH)₃ along with H₂ gas on reaction of these composite electrodes with H₂O during electrochemical dissolution. However, chronoamperometric studies prove the suitability of x = 0.6 sample with higher ORR and liberation of H₂ gas at room temperature.     

Photoelectrocatalytic hydrogen production of heterogeneous photoelectrodes with different system configurations of CdSe nanoparticles,Au nanocrystals and TiO2 nanotube arrays

The different configurations of CdSe nanoparticles, Au nanocrystals and TiO₂ nanotube arrays play an important role in the photoelectrochemical behavior and photoelectrocatalytic hydrogen production of this heterogeneous photoelectrode system. It is discovered that the photoelectrocatalytic hydrogen production of the TiO₂–CdSe–Au photoelectrode (1.724 mmol g⁻¹ h⁻¹) is about 4 times that of the TiO₂–Au–CdSe photoelectrode (0.430 mmol g⁻¹ h⁻¹) under visible light irradiation. From the comprehensive investigation of their photoelectrochemical behaviors, it is illustrated that the interfacial electrical field has distinct effects on the separation and transportation of photogenerated carriers in these heterostructure photoelectrodes. The directions of the interfacial electrical fields formed at TiO₂–Au and Au–CdSe interfaces are opposite in the TiO₂–Au–CdSe photoelectrode, which hinders the separation of photogenerated electron-hole pairs and subsequent transportation of photogenerated carriers. On the contrary, the directions of the interfacial electrical fields formed at TiO₂–CdSe and CdSe–Au interfaces are identical in the TiO₂–CdSe–Au photoelectrode, which promotes the separation of photogenerated excitons and subsequently enhances their transportation for enlarged photocurrent density. The results of photoelectrocatalytic hydrogen production also confirm our assumption.     

基于If Then Else规则的热电联产系统能量调度方法

为了降低热电联产系统能量调度算法计算的复杂度,减少计算时间,提出了一种基于If-Then-Else规则的热电联产系统能量调度方法。通过引入逻辑变量来描述设备的启停状态和工作模式,建立混合逻辑动态模型,在模型预测控制的框架下,根据实时电价以及本地能源、电力负荷和热力负荷的预测结果,为模型中的二元决策变量赋值,从而将模型中的混合整数线性规划问题转化为线性规划问题。最后,通过仿真将本文提出的方法和混合整数线性规划方法进行比较,结果表明,本文所采用的方法在性能上几乎没有损失,平均计算时间降低65%。     

Low-temperature catalytic combustion of trichloroethylene over MnOx-CeO2 mixed oxide catalysts

The cerium-based catalysts were investigated for the catalytic co mbustion of trichlo roethylene(TCE) and exhibit a surprising catalytic activity.MnO_x was doped into CeO₂ by a citric acid(CA) sol-gel method,and the effect of Mn content on the physicochemical properties and catalytic activities of MnO_x-CeO₂ mixed oxides was investigated systemically.The introduction of MnO_x into CeO₂ can evidently improve the catalytic activity and...     

Experimental and numerical analyses of the combustion characteristics of Mg/PTFE/Viton fuel-rich pyrolants in the atmospheric environment

Abstract

Magnesium/polytetrafluoroethylene/Viton (MTV) fuel-rich pyrolants use the atmospheric oxygen as a complementary oxidizer to sustain and alter the performance of the combustion reaction. The flame diffusion characteristics of MTV fuel-rich pyrolants in the atmospheric environment are studied by a high-speed camera (HSC). The flame temperature and combustion components are measured by using remote sensing Fourier Transform Infrared Spectrometer (FTIR). In order to obtain the combustion component distribution more accurately, an aerobic combustion model containing the oxidation reaction of the excess reactant Mg and carbonaceous species with O₂ is established in this study. Eddy dissipation concept (EDC) model is applied to the numerical simulation of the three dimensional anaerobic and aerobic combustion field coupled with Realizable k-ε two-equation turbulence model. The research results show that flame temperature is mainly contributed by anaerobic combustion reaction. The flame structure obtained by the aerobic combustion model is closer to the experimental results, and the result of component distribution calculated by aerobic combustion is more consistent with characteristic spectrum. Therefore, the aerobic combustion model is more suitable for describing the actual MTV flame, and the combustion field can be divided into an anaerobic core zone and an aerobic diffusion zone.     

A skeletal n-butane mechanism with integrated simplification method

A new skeletal mechanism of n-butane is developed for describing its ignition and combustion characteristics applicable over a wide range of conditions: initial temperature 690–1430 K, pressure 1–30 atm, and equivalence ratio 0.5–2.0. Starting with a detailed chemical reaction kinetic model of 230 species and 1328 reactions (Healy et al., Combust. Flame, 2010), the directed relation graph method is applied as the first step to derive a semi-detailed mechanism with 134 species. Then, the reaction path analysis in conjunction with temperature sensitivity analysis is used to remove the redundant species and reaction paths simultaneously under the condition of low-temperature and moderate-to-high temperatures, respectively. Finally, a skeletal n-butane mechanism consisting of 86 species and 373 reactions can be obtained. Mechanism validation indicates that the new developed skeletal mechanism is in good agreement with the detailed mechanism in predicting the global ignition and combustion characteristics. The new skeletal mechanism is further validated using extensive available literature data including rapid pressure machine ignition delay time, shock-tube ignition delay time, laminar flame speed, and jet-stirred reaction oxidation, covering a large range of temperatures, pressures, and equivalence ratios. The comparison results demonstrate that a satisfactory agreement between predictions and experimental measurements is achieved.     

Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model

This paper presents a sensor fault estimation scheme for polymer electrolyte membrane (PEM) fuel cells using Takagi Sugeno (TS) fuzzy model. First, PEM fuel cell systems with sensor faults are modelled by TS fuzzy model. Next, by adding a first order filter, an augmented TS fuzzy system with actuator fault is obtained. Then, for the augmented system, an unknown input observer (UIO) and a fault estimator are developed. The UIO gains are computed by solving linear matrix equalities (LMEs) and linear matrix inequalities (LMIs). The UIO convergence and stability are analyzed and the performances of the proposed fault estimation scheme is demonstrated by numerical simulations for a PEM fuel cell system with return manifold pressure and hydrogen mass sensors.