基于ai智能图像的工控火电现场爆炸风险评估

对工控火电现场爆炸风险进行评估时,若采用人工识别现场图片信息的方法,容易导致现场图片特征信息采集不准确,存在评估耗时长、评估效率低和评估结果不准确的问题。针对该问题,提出1种基于ai智能图像的工控火电现场爆炸风险评估方法;通过自适应融合方法提取工控火电现场ai智能图像中的特征信息,根据特征信息对工控火电现场ai智能图像进行识别;结合层次分析法和问卷调查法,选取工控火电现场爆炸风险评估指标;在图像识别结果的基础上,通过风险等级集合、评估指标权重,建立工控火电现场爆炸风险评估模型,并与另外2种工控火电现场爆炸风险评估方法进行了对比。研究结果表明:所建方法能够缩短评估时间,且评估效率较高、评估结果准确率较高。     

煤中掺比伴生硫化物的自燃特性分析

为了深入探究矿井下伴生硫化物对煤自燃及着火燃烧特性的影响,向原煤中添加不同量的含硫物配制4种不同含硫量的煤样,通过TG实验、DSC测试和XRD分析,研究伴生硫化物对煤自燃及着火燃烧特性的影响规律;基于Coats-Redfern法计算煤中掺加不同伴生硫化物时煤燃烧阶段的活化能。研究结果表明:随着煤中掺比伴生硫化物的增多,煤的特征温度相应减小,而吸氧量、可燃和稳燃指数相应增大,原煤中混入伴生硫化物后更易自燃;随着煤中掺比伴生硫化物的增多,煤燃烧阶段的活化能降低,煤更易着火燃烧;伴生硫化物的主要成分为水绿矾、叶绿矾,这些物质在常温下遇水和氧气能够发生化学循环反应,反应放热促使了煤更易自燃;伴生硫化物在温度高于200℃以后整体表现为放热,在温度为565℃时达到放热峰值,这使得煤燃烧阶段的活化能降低,煤更易燃烧。     

氯丙烯直接环氧化工艺反应物料危险性研究

为了保证利用双氧水氧化氯丙烯直接环氧化制备环氧氯丙烷新工艺的安全开发,针对此工艺涉及的混合危险物料,利用C80量热仪对混合物料热稳定性进行了测试,获得了混合物料热扫描曲线;利用AKTS软件处理得到了混合物料热特性参数和分解动力学数据,在此基础上结合HYSIS软件进行了预防气相燃爆方面的安全分析。结果表明:混合物料初始pH值为8左右,其pH值随放置时间延长而降低;混合物料TD24值为21.3℃,混合物料发生失控的可能性等级为高;混合物料中双氧水分解受温度影响较大,在30℃和60℃下,混合物料分别经过1.3 h和0.8 h就会分解释放出达到氧含量报警值的氧气。     

Treatment of sugar industry wastewater using a combination of thermal and electrocoagulation processes

Sugar industries require a large amount of water for processing, and also generate large amounts of high-degree polluted wastewater. To maintain the water balance in the industry, it is imperative that effective treatment methods need to be devised to treat the wastewaters. The main aim of the present work is to treat the sugar industry wastewater by combined thermal and electro-oxidation methods with a metal and a catalyst based on ferrous material. Results showed a reduction of 75.6% of COD and 79.2% of colour content with thermal treatment, and 97.8% of COD and 99.7% of colour with combined thermal and electrocoagulation treatments under optimum conditions. These reduction levels are adequate for recycling limits.     

Evaluation of energy savings by using high efficiency motors in a thermal power station

This paper presents potential energy savings by installing high-efficiency motors instead of existing ones and their impact on greenhouse gases emissions reductions. This research study of the energy efficiency of electric motors has been performed in a typical thermal power plant. In the literature, the focus has been mainly on separate and away electric motors from operating facilities. The important advantage of this paper over other studies is that it uses the actual motors’ efficiency in the evaluation. The gains both in terms of electrical energy savings and in terms of financial economy by using high-efficiency motors have been discussed. As a result, the energy saving can be expected as 12.6% at the operating rate. This excellent result also reduces greenhouse gas emission by 1,423 tons every year. The analysis of the data provided an overview on energy losses often generated by the degradation and rewinding of electrical motors. This study represents very encouraging results that will help energy managers of industrial plants to become more involved in energy efficiency strategies.     

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。