高压储氢系统泄漏爆炸事故的动力学演化

为研究燃料氢气泄漏、爆炸的特性和规律,预防高压储氢系统中氢气泄漏爆炸事故发生,以加氢站为背景,数值仿真45 MPa高压储罐氢气泄漏并引发爆炸事故,分析泄漏爆炸动力学性质以及爆炸波在非均匀氢气浓度中的传播机制。同时,基于泄漏爆炸事故演化的力学机理,开展氢气泄漏爆炸动态风险分析,针对氢气不同泄漏量,建立泄漏扩散形成的气云体积、气云爆炸产生的冲击波与空间x,z方向上危害距离之间关系。研究结果表明：氢气泄漏过程中,气云氢气浓度变化与流场雷诺数具有较好一致性;氢气扩散受到高压储氢罐周围装置影响,流场中氢气浓度分布不均匀;当发生燃烧爆炸事故时,冲击波参数和湍动能变化梯度大;得到复杂布局区域冲击波超压峰值与比例距离之间关系式,其相比于理论方法更精细、计算结果更准确。研究结果可为降低高压储氢系统泄漏爆炸事故后果、采取有效防护措施提供一定依据。     

苯罐安全储存技术措施

液态苯极易燃烧爆炸,苯类化学事故造成的后果及影响极大,其安全储存涉及多方面技术措施.通过危险预知分析等方法,较详细地介绍了苯罐的安全储存温度和安全储存的技术措施.     

燃料乙醇应用对环境的影响

燃料乙醇作为可再生的替代能源被越来越广泛地利用.从对空气的影响、对土壤和地下水的潜在影响、能源的有效性和能源的可持续性4个方面阐述了燃料乙醇使用对环境的影响效应,既说明了其显著的优势,又提出了存在的问题及相关建议,旨在更充分地发挥燃料乙醇的能源价值.     

中国铝生命周期能耗与碳排放的情景分析及减排对策

铝工业是高能耗高排放工业,探索铝工业的节能减排路径有助于我国实现《巴黎协定》中的温室气体减排承诺.采用物质流分析和生命周期评价方法,基于存量水平、技术水平和能源结构设置了15种情景,研究了我国铝工业1990～2100年的能耗和碳排放量,探索不同路径下的节能减排潜力.我国铝在用存量将在2040～2050年达到峰值(4.6...     

隧道竖井外流场模拟及风塔外型结构优化研究

为提高长大隧道施工及运营通风过程中竖井通风效率,实现隧道节能通风。依托实际隧道工程,基于Fluent软件,选用RNG k-ε湍流模型,对无竖井风塔、圆柱风塔、矩形风塔和凸台状风塔4种结构、不同环境风速工况下的流场进行数值模拟,并对模拟结果进行交叉比对分析,提出最优化的竖井风塔结构形式。研究结果表明:采用风塔结构竖井出流量要远大于无风塔结构竖井出流量;对于不同竖井风塔外型结构,竖井出流量与环境风速关系呈多项式函数;当倾斜角为45°、圆心角为90°时,凸台结构对应竖井出流量最大,且受环境风影响波动较小,通风稳定性较好。建议竖井出口结构选用矩形或凸台状,实现对环境风的高效利用,提高竖井通风效率。     

肥煤自燃全过程热动力学特征参数研究

实验测定了林西矿肥煤样品30~900℃煤自燃全过程热动力学特征参数,得出:TG/DTG曲线显示煤样DTG初始临界温度45℃,干裂温度122℃,活性温度195℃,增速温度265℃,质量极大值温度342℃,着火温度465℃,最大热失重速率温度515℃和燃尽温度690℃;DSC曲线显示,煤样初始放热温度60℃、最大热释放速率温度511℃。结合TG-DTG-DSC曲线综合分析可知,煤温达到510℃左右时煤样反应最剧烈。由煤自燃标志气体测定实验系统得出:煤温130℃后CO,CO 2释放量迅速增加,210℃增加速度下降;CH 4,C 2 H 6含量变化具有规律性且两者变化相近;C 2 H 4出现温度为130℃;C 2 H 4/C 2 H 6比值在190~350℃有较强的规律性,呈上升趋势且上升速度较快;350℃之后,CH 4,C 2 H 6,C 2 H 4体积分数均开始急剧增大;C 2 H 4/CO与C 2 H 4/CO 2变化趋势大致相同,在130~350℃时缓慢增长,达到350℃后比值呈指数形式上升。经拟合曲线,得到活化能的3个突变点温度:70,180,220℃,其中180℃与交叉点温度相吻合。通过以上研究,得到了肥煤自燃全过程的热力学特征参数,为实际生产中防治煤自燃提供了理论依据。     

水稻和玉米的热氧化分解特性及几种动力学方法结果的比较

利用热重分析仪在空气气氛、不同的升温速率下对带壳稻谷粉和玉米粒粉进行了热重测试,依据热重实验数据,采用多种热解动力学分析方法计算了水稻和玉米的活化能数值并进行比较,结果表明水稻和玉米的热氧化反应活化能随着转化率出现先增加后降低的趋势,并在转化率为70%左右达到了极大值。     

Effect of pipes in heat pump system on electric vehicle energy saving

ABSTRACT

Refrigerant pressure drop and temperature change in pipes are normally ignored in the thermodynamic analysis of traditional vehicle air conditioning system, this will result in serious errors. In this Paper, pressure drop and temperature difference are simulated in different pipes of electric vehicle (EV) heat pump system to analysis the effects of pipes in the actual EV heat pump system. The results indicate that the greater the mass flow, the faster pressure drop increases, the temperature difference decreases. Pressure drop of saturated liquid refrigerant is smaller than that of saturated gas refrigerant at the same saturation pressure and mass flow rate. The higher the refrigerant pressure (no phase change), the slower pressure drop decreases, the faster the temperature difference decreases. Pressure drop decreases with the increment of bending angle of the pipe. For EV heat pump system, suitable valves and less branches are helpful for energy saving of the system. Shortening the pipe between compressor and condenser can reduce temperature change obviously. Pressure drop per unit length in the pipe between evaporator and compressor is large especially in heating mode because of lower refrigerant density. It even reaches to over 100 times of that in the pipe between condenser and throttle valve in heating mode and has negative effects on the performance of the system. If the evaporator is closer to the compressor and the number of branches is less, then pressure drop will decrease a lot, which will be advantageous for energy saving of the heat pump system.     

Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States

This study explores the viability of using simulated monthly runoff as a proxy for landscape‐scale surface‐depression storage processes simulated by the United States Geological Survey’s National Hydrologic Model (NHM) infrastructure across the conterminous United States (CONUS). Two different temporal resolution model codes (daily and monthly) were run in the NHM with the same spatial discretization. Simulated values of daily surface‐depression storage (treated as a decimal fraction of maximum volume) as computed by the daily Precipitation‐Runoff Modeling System (NHM‐PRMS) and normalized runoff (0 to 1) as computed by the Monthly Water Balance Model (NHM‐MWBM) were aggregated to monthly and annual values for each hydrologic response unit (HRU) in the CONUS geospatial fabric (HRU; n = 109,951) and analyzed using Spearman’s rank correlation test. Correlations between simulated runoff and surface‐depression storage aggregated to monthly and annual values were compared to identify where which time scale had relatively higher correlation values across the CONUS. Results show Spearman’s rank values >0.75 (highly correlated) for the monthly time scale in 28,279 HRUs (53.35%) compared to the annual time scale in 41,655 HRUs (78.58%). The geographic distribution of HRUs with highly correlated monthly values show areas where surface‐depression storage features are known to be common (e.g., Prairie Pothole Region, Florida).     

Effect of pyrolysis and oxidation characteristics on lauric acid and stearic acid dust explosion hazards

The effect of pyrolysis and oxidation characteristics on the explosion sensitivity and severity parameters, including the minimum ignition energy MIE, minimum ignition temperature MIT, minimum explosion concentration MEC, maximum explosion pressure P_max, maximum rate of pressure rise (dP/dt)_max and deflagration index K_st, of lauric acid and stearic acid dust clouds was experimentally investigated. A synchronous thermal analyser was used to test the particle thermal characteristics. The functional test apparatuses including the 1.2 L Hartmann-tube apparatus, modified Godbert-Greenwald furnace, and 20 L explosion apparatus were used to test the explosion parameters. The results indicated that the rapid and slow weight loss processes of lauric acid dust followed a one-dimensional diffusion model (D1 model) and a 1.5 order chemical reaction model (F1.5 model), respectively. In addition, the rapid and slow weight loss processes of stearic acid followed a 1.5 order chemical reaction model (F1.5 model) and a three-dimensional diffusion model (D3 model), respectively, and the corresponding average apparent activation energy E and pre-exponential factor A were larger than those of lauric acid. The stearic acid dust explosion had higher values of MIE and MIT, which were mainly dependent on the higher pyrolysis and oxidation temperatures and the larger apparent activation energy E determining the slower rate of chemical bond breakage during pyrolysis and oxidation. In contrast, the lauric acid dust explosion had a higher MEC related to a smaller pre-exponential factor A with a lower amount of released reaction heat and a lower heat release rate during pyrolysis and oxidation. Additionally, due to the competition regime of the higher oxidation reaction heat release and greater consumption of oxygen during explosion, the explosion pressure P_m of the stearic acid dust was larger in low concentration ranges and decayed to an even smaller pressure than with lauric acid when the concentration exceeded 500 g/m³. The rate of explosion pressure rise (dP/dt)_m of the stearic acid dust was always larger in the experimental concentration range. The stearic acid dust explosion possessed a higher P_max, (dP/dt)_max and K_st mainly because of a larger pre-exponential factor A related to more active sites participating in the pyrolysis and oxidation reaction. Consequently, the active chemical reaction occurred more violently, and the temperature and overpressure rose faster, indicating a higher explosion hazard class for stearic acid dust.