Fabrication and characterization of electrospun porous cellulose acetate nanofibrous mats incorporated with capric acid as form-stable phase change materials for storing/retrieving thermal energy

Electrospun cellulose acetate (CA) nanofibrous mats incorporated with capric acid was studied to fabricate form-stable phase change materials (PCMs) for storing/retrieving thermal energy. Electrospun CA nanofibrous mats with different porous structures and specific surface areas were firstly prepared through regulating the volume ratio of mixture solvent of acetone/dichloromethane (DCM). Effects of different volume ratio of mixture solvent and mat thickness on the morphological structure, specific surface area, and absorption capacity of CA nanofibrous mats were systematically investigated. The results indicated that CA nanofibrous mats were highly porous on the surface; hence, they were capable of absorbing a large amount of capric acid. The maximum absorption capacity of CA mats via electrospinning with volume ratio of acetone/DCM being 5/5 was ~95.8 wt%, due to its higher specific surface area of ~17.1 m²/g. The specific surface area and capric acid absorption capacity of CA nanofibrous mats increased with the increases of mat thickness. As the thickness of nanofibrous mats increased from 10 to 85 μm, the corresponding specific surface area and capric acid absorption capacity of mats increased respectively from 7.2 to 29.0 m²/g and 92.1 to 98.5%. Morphological structures, as well as the properties of thermal energy storage and thermal insulation of the fabricated form-stable PCMs, were studied by scanning electron microscopy, differential scanning calorimetry, and measurement of freezing times, respectively. The results indicated that the resulting form-stable PCMs could well maintain their phase transition characteristics and demonstrated great thermal energy storage capability and temperature regulation ability.     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

Energy and exergy analysis of a heat storage tank with a novel eutectic phase change material layer of a solar heater system

Solar energy is one of the most important renewable energy sources, but it is not available every time and every season. Thus, storing of solar energy is important. One of the popular methods of heat storage is use of phase change materials (PCMs) which have large thermal energy storage capacity. In this study, the heat storage tank in a domestic solar water heating system was chosen as control volume. The experiments were performed in the province of Elaz?g, Turkey, in November when solar radiation was weak due to cloudy sky. The heat storage tank of the system was modified to fill PCM between insulation and hot water part. A few PCMs which are Potassium Fluoride, Lithium Metaborate Dihydrate, Strontium Hydroxide Octahydrate, Barium Hydroxide Octahydrate, Aluminum Ammonium Sulfate, and Sodium Hydrogen Phosphate were analyzed to proper operating conditions using a Differential Scanning Calorimeter (DSC) and the best PCM was obtained with the Aluminum Ammonium Sulfate and Sodium Hydrogen Phosphate mixture. Thus, eutectic PCM was obtained and used in a heat storage tank of the solar water heating system. Energy and exergy analysis of heat storage tank was performed with and without the PCM. Energy and exergy analysis has shown that the heat storage tank with the PCM is more efficient than without the PCM and the maximum exergy efficiency was obtained as 22% with the heat storage tank with the PCM.     

火电厂冷却池热污染治理初探

通过系统的模型试验,以色水为示踪剂模拟热水,探讨排、取水口分列式布置的三维时间连续点源如何采用工程设施转换成无限长二维面源,以利用水面热交换解决火电厂冷却池热污染的治理问题。给出了出流近区流速分布及流量沿程变化的近似计算式。此研究成果对挖掘冷却池散热潜力,增加电厂装机容量具有实用推广价值     

氧化·热化学脱硫研究

热化学脱硫法因铵盐回收率低、产物不稳定,无法解决实用化问题。氧化热化学法应用超强脉冲电场产生高浓度、高能量的活性粒子,使SO₂在氧化过程中生成H₂SO₄,与NH3进行热化学反应,生成稳定的固体微粒（NH₄）₂SO₄,用电收尘器加以回收。脱除率、回收率可达90％左右,脱除1m³烟气中SO₂耗能为4Wh,实现了干法高效脱硫。一次投资大幅度减少,回收铵盐基本上抵消了药品费和电费。     

Recycle of bio-waste banana and sisal fiber filled harmlessness epoxy hybrid composite for automotive roof application

Insists of polymer matrix composite is prepared by using natural fiber facilitates high tensile, flexural, and impact toughness properties. The natural fiber utilization in the polymer matrix can overcome the synthetic fiber demerits of poor compatibility, high moisture absorption, and high cost. The present research investigates developing a low-cost, environmentally eco-friendly epoxy hybrid composite using different volume percentages of chopped natural waste banana (0Vol%, 5Vol%, 10Vol%, and 15Vol%) and sisal fiber (0Vol%, 15Vol%, 10Vol%, and 5Vol%) through hand mould hot compression technique. The presence of natural waste banana and sisal fiber on tensile strength, flexural strength, and thermal adsorption properties of the epoxy hybrid composite are evaluated by ASTM test standards. The ASTM standard measured test results of epoxy hybrid composite with and without natural waste banana and sisal fiber were compared and sample three was identified by good tensile strength, flexural strength, and better thermal adsorption properties compared to all others. The sample three epoxy hybrid sample is recommended for automotive roof application.     

含内热源松散煤体热湿迁移特性研究

为研究松散煤体内部热湿迁移规律,建立松散煤体多场-相变-扩散耦合数学模型,对热力驱动下的温、湿度场时空演变规律进行仿真研究;通过热湿迁移特性实验平台,对数值模拟结果的有效性与准确性进行验证。研究结果表明：温度相对误差小于5%,含湿量相对误差小于8%;松散煤体温度逐渐升高,温升速率逐渐减小,温度最终趋于稳定值,沿轴线方向温度呈指数性降低;松散煤体湿度场可分为煤体含水率和空气含湿量,在空间上可分为含水率减少区、含水率增大区和含水率不变区,随着计算进行,峰值含水率逐渐增大且向远离热源方向移动;含湿量相较于实验初期均有所增大,沿轴线方向先呈线性降低,后呈指数性降低且线性区域越来越大,指数性区域越来越小。     

基于最优粒度的城市热环境与景观特征耦合分析

综合Landsat和国产高分2号遥感影像反演地表温度、划分地表覆被类型,通过划分100m×100m～1000m×1000m等多个网格单元,分析北京市五环内热环境影响因素的粒度效应;并基于最优粒度分析城市景观组分和构型特征与热环境特征的相互关系.结果表明:随粒度增加,网格单元内平均地表温度和不透水地表(IS)、植被水体(...     

瓦斯爆炸中的火球伤害效应

针对瓦斯爆炸事故3种危害中的高温热辐射伤害进行研究,结合火灾爆炸事故中的火球热辐射的传播公式,得出适合井下瓦斯爆炸事故的火球传播规律公式.依据该公式划分了瓦斯爆炸事故中火球热辐射的死亡、重伤、轻伤的半径公式,为瓦斯爆炸事故安全评价提供了理论基础.     

从全混流反应器热稳定性的角度探讨高危工艺的危险性

通过对全混流反应器(CSTR)热平衡条件下多态的分析,探讨热稳定性条件,并对一级不可逆反应在CSTR中的热稳定性进行定性分析;探讨不同反应热和活化能对反应过程热稳定性的影响,及其对反应器发生"飞温"事故要求紧急停车时的控制要求的影响,进而从反应工程的角度对高危工艺的界定提出新的思路。分析结果表明,工艺的危险性不仅与工艺的种类相关,更与工艺本身的热力学、动力学特征密切相关。通过对高危工艺的热稳定状况的分析,能够动态地揭示其在温度扰动下发生"飞温"或"熄火"的过程,从本质上把握高危工艺潜在的危险性,并能有针对性地制定自动化改造方案,提高化工企业的本质安全度。