Shock/expansion fan interaction with real gas effects for Earth and Mars atmospheric conditions

Numerical simulations are performed to investigate the real gas effects on shock/expansion fan interaction. Initial perfect gas simulations at low enthalpy capture the flow structures efficiently and outcomes are found to have excellent agreement with the analytical calculations. Furthermore, the simulations with the real gas solver for different enthalpies showed that the variation in enthalpy significantly changes the flow structures. It is observed that an increase in enthalpy leads to a decrease and increase in the postshock and postexpansion fan Mach numbers, respectively. Another important observation is the decrement in the peak pressure ratio with an increment in the enthalpy. These effects are noted to be more pronounced for Mars's environment due to the higher dependency of specific heat on temperature.     

Notwendigkeit und Vermarktung von Flexibilitätsoptionen im Energiesystem der Zukunft

Demands on production, distribution and consumption of electrical energy change fundamentally with the energy revolution. Energy purchasing costs for inflexible consumers are rising and proceeds of inflexible producers are sinking. Companies are able to reduce costs by marketing operational flexibility options. This article sets out the need of flexibility in the energy system and the new marketing options. Flexibility potentials within infrastructure plants of a chemical park are analyzed, evaluated regarding marketing and activated in the presented research project FlexChemistry.     

Real‐time thermal states monitoring of absorber tube for parabolic trough solar collector with non‐uniform solar flux

With the world energy shortage problem becoming increasingly prominent, more and more attentions have been paid to the development of renewable energies. Among these sources, solar energy has received extensive attention with its excellent characteristics. The thermal state affects the safety of the solar heat collection system. In this paper, real‐time monitoring of the input heat flux on the inside wall and the temperature field simultaneously of an absorber tube for parabolic trough solar collector were studied. Based on the measured temperatures on the outside wall, the fuzzy adaptive Kalman filter coupled with weighted recursive least squares algorithm (WRLSA) was employed to monitor the heat states of the absorber tube inversely, in which WRLSA was used to acquire the heat flux while fuzzy adaptive Kalman filter was adopted to monitor the temperature field. The method showed strong robustness to resist the ill‐posedness. Accurate monitoring results also can be acquired when there are random disturbances of the heat transfer condition on the inner wall.     

基于自适应阈值活动语音检测和最小均方误差对数谱幅度估计的低信噪比降噪算法

针对低信噪比(SNR)环境下传统方法对声信号降噪的局限性，提出了一种联合自适应阈值活动语音检测（VAD）算法和最小均方误差对数谱幅度估计（MMSE-LSA）的实时降噪算法。首先，在VAD算法中通过基于能量概率最大值的概率统计来对背景噪声进行估计，对得到的背景噪声进行实时更新并保存；然后，将实时更新的背景噪声作为MMSE-LSA的参考噪声，并对噪声幅度谱进行自适应更新，最后进行降噪处理。通过在真实场景中对四类声信号进行实验，结果表明，该算法在保证对低SNR声信号的实时处理的情况下，相较于传统MMSE-LSA算法，降噪信号的SNR能够提高10~15 dB，且不存在信号过减的情况，可应用于实际工程。     

天然橡胶期货市场回顾及后市展望

2019年天然橡胶期货市场起起落落,沪胶价格继续低位震荡。2020年天然橡胶供大于求的局面仍不会发生根本性改变,由极端天气引发的天然橡胶市场行情变动可能会减小,汽车行业可能会在政策支持下再次振兴,尤其重型卡车市场会成为亮点,轮胎企业继续寻求扩大出口。2020年上半年,天然橡胶期货市场可能还会受到2019年异常天气和病害等的余波作用,胶价会达到一个相对的高点,价格底部抬升,但很难出现持续性上涨的市场行情。2020年下半年,随着天然橡胶产量的季节性增长,胶价可能会再次回落。     

Modeling managerial behavior in real options valuation for project-based environments

Project valuation, as a decision-making tool for initiating investments in projects, should be able to value project flexibilities and incorporate reasonable risk preferences of relevant decision makers. Real options valuation methods are the available approaches for valuing project flexibilities, whereas they have shortcomings in considering managers’ reasonable risk preferences in project decisions. Therefore, researchers have suggested approximating the perspective on risk of real options methods and practitioners in project management. This study proposes a fair real options valuation for project-based environments by a behavioral economic approach, which adopts binomial lattice method, Monte-Carlo simulation, and cumulative prospect theory. The results show that behavioral factors such as ‘risk attitude’ and ‘loss aversion’ should be accepted in project investment decisions while limited to an acceptable amount depending on the project conditions (e.g. uniqueness of decision-making scenarios). This research contributes to the project management domain by enhancing project investment decisions that include project flexibilities.     

Self‐similarity analysis of vehicle driver's electrodermal activity

This paper characterizes stress levels via a self‐similarity analysis of the electrodermal activity (EDA) collected in a real‐world driving context. To characterize the EDA richness over scales, the fractional Brownian motion (FBM) process and its corresponding exponent H, estimated via a wavelet‐based approach, are used. Specifically, an automatic scale range selection is proposed in order to detect the linearity in a log scale diagram. The procedure is applied to the EDA signals, from the open database drivedb, originally captured on the foot and the hand of the drivers during a real‐world driving experiment, designed to evoke different levels of arousal and stress. The estimated Hurst exponent H offers a distinction in stress levels when driving in highway versus city, with a reference to restful state of minimal stress level. Specifically, the estimated H values tend to decrease when the driving environmental complexity increases. In addition, the estimated H values on the foot EDA signals allow a better characterization of the driving task than that of hand EDA. The self‐similarity analysis was applied to various physiological signals in literature but not to the EDA so far, a signal which was found to correlate most with human affect. The proposed analysis could be useful in real‐time monitoring of stress levels in urban driving spaces, among other applications.     

DART-Q-Orbitrap MS法快速检测豆制品中碱性橙Ⅱ和金胺O

采用实时直接分析(direct analysis in real time,DART)离子化技术与四极杆-静电场轨道阱高分辨质谱联用技术(Q-Orbitrap MS),建立了快速定性和定量分析方法,检测豆制品中非法添加的碱性橙Ⅱ和金胺O。在正离子模式下,采用Full MS/targetrd-MS2扫描方式,可直接将豆制品置于离子化区域内对两种染料进行快速定性分析。在定量分析中,采用80%乙腈水溶液提取样品,应用Dip-it载样方式,对实验参数进行系统性优化。采用空白基质溶液进行梯度稀释,测得碱性橙Ⅱ和金胺O在基质中的检出限均为0.2mg/L;采用内标法定量,在1～20mg/L浓度范围内线性关系良好,相关系数分别为0.997 2和0.999 4。该方法快速准确,可为食品中非法添加染料的定性和定量检测提供参考依据。     

蒸汽管网智能监测系统的模拟应用

蒸汽管网智能监测系统可以对蒸汽管网的参数进行实时监测，并通过建立管网数学模型对蒸汽管网进行模拟计算。将该监测系统应用于中化泉州石化有限公司中压蒸汽管网，选取动力站供汽量为－30～60 t/h和30～90 t/h两种工况下对关键装置透平供汽量及进汽温度进行模拟分析，解决了部分装置透平进汽温度低的问题；提出了新增透平来消化富余蒸汽和稳定中压管网的途径，并模拟出新增透平的最佳位置在靠近催化裂化装置处，实现了整个蒸汽系统的节能优化和安全稳定运行。     

基于实物期权的煤层气利用项目投资评价研究

实物期权法是对项目决策中的灵活性价值进行定量评估的一种方法，是对传统经济评价方法净现值法的修正补充。采用实物期权理论和方法，分析煤层气利用项目可研建设阶段和生产运营阶段的期权特征，确定出煤层气利用项目总价值为现金流量净现值与项目灵活性价值之和。采用二叉树期权定价方法，构建基于实物期权的煤层气利用项目投资评价方法和模型。并结合煤层气脱氧制液化天然气项目实例，在确定评价参数的基础上，分别用净现值法、基于实物期权的延迟期权方法、扩张期权方法及复合期权方法，计算煤层气项目投资价值，同时对评价方法主要影响参数进行敏感性分析。结果表明：实物期权法评价出的煤层气利用项目价值明显高于传统经济评价方法计算出的项目价值，而且组合期权能有效增加项目的价值；标的资产价值和期权执行价格对煤层气利用项目期权价值的影响最大。