Effects of typical additives on the thermal stability of ammonium peroxydisulfate

Ammonium peroxydisulfate (APS), one of the most widely used inorganic peroxides in the process industries, is a thermally unstable peroxide and potent oxidizer due to the presence of peroxy bond in the molecule and is incompatible with most substances. To investigate the effect of typical additives on the thermal decomposition of APS, in this paper, diamine phosphate (DAP), monoamine phosphate (MAP), and aluminum hydroxide (AH) were selected as additives; pure APS and samples with 10 wt% and 20 wt% of additives were first tested by differential scanning calorimetry (DSC). The experiments and analysis showed that the samples with 10 wt% of additive had better thermal stability than those with 20 wt% of additive. After screening, the three groups of 10 wt% AH, 10 wt% MAP, and 20 wt% MAP additive conditions could be considered to have a better thermal stability effect on the thermal decomposition of APS. Four groups of samples were, in turn, tested by Phi-Tec II. The adiabatic results showed two discontinuous exothermic processes; 10 wt% AH promoted the weak exothermic effect in the first stage. In contrast, the three groups of additives in the main exothermic stage showed different degrees of inhibition, and the inhibiting effect was ranked as 10 wt% AH, 10 wt% MAP, and 20 wt% MAP in order. Finally, the self-accelerated decomposition temperature (SADT) was calculated under the 25 kg standard package. The adiabatic results, including SADT, were combined to render feasible recommendations for the use of additives, which provides references for the packaging and transportation of additives and their applications.     

Dynamic risk assessment for underground gas storage facilities based on Bayesian network

Loss of the underground gas storage process can have significant effects, and risk analysis is critical for maintaining the integrity of the underground gas storage process and reducing potential accidents. This paper focuses on the dynamic risk assessment method for the underground gas storage process. First, the underground gas storage process data is combined to create a database, and the fault tree of the underground gas storage facility is built by identifying the risk factors of the underground gas storage facility and mapping them into a Bayesian network. To eliminate the subjectivity in the process of determining the failure probability level of basic events, fuzzy numbers are introduced to determine the prior probability of the Bayesian network. Then, causal and diagnostic reasoning is performed on the Bayesian network to determine the failure level of the underground gas storage facilities. Based on the rate of change of prior and posterior probabilities, sensitivity and impact analysis are combined to determine the significant risk factors and possible failure paths. In addition, the time factor is introduced to build a dynamic Bayesian network to perform dynamic assessment and analysis of underground gas storage facilities. Finally, the dynamic risk assessment method is applied to underground gas storage facilities in depleted oil and gas reservoirs. A dynamic risk evaluation model for underground gas storage facilities is built to simulate and validate the dynamic risk evaluation method based on the Bayesian network. The results show that the proposed method has practical value for improving underground gas storage process safety.     

Effects of environmental temperature on the thermal runaway of lithium-ion batteries during charging process

Lithium-ion batteries with relatively narrow operating temperature range have provoked concerns regarding the safety of LIBs. In this work, a series of experiments were conducted to explore the thermal runaway (TR) behaviors of charging batteries in a high/low temperature test chamber. The effects of charging rates (0.5 C, 1 C, 2 C, and 3 C), and ambient temperature (2 °C, 32 °C and 56 °C) are comprehensively investigated.The results indicate that the cell exhibited greater thermal hazard at the high charging rate and ambient temperature conditions. As the charging rate increased from 0.5 C to 3 C, more lithium intercalated in the anode prompt the TR triggered in advance, the TR onset temperature decreased from 297.5 °C to 264.7 °C. In addition, the charging time decreased with the elevated ambient temperature, resulting in a relatively higher TR onset temperature and lower maximum temperature, and the average TR critical time declined by 115–143 s. Finally, the TR required less heat accumulation with increasing of charging rate and ambient temperature, and the heat generation of side reaction played a substantial role that accounted for approximately 54%∼63%. These results provide an insight into the charging cell thermal runaway behaviors in complex operation environments and deliver valuable guidance for improving the safety of cell operation.     

Control of combustion-generated nitrogen oxides by selective non-catalytic reduction

Controlling nitrogen oxides (NO(x)) emissions is becoming a daunting technical challenge as increasingly strict emission limits are being imposed. The stringent regulations have prompted the innovation and characterization of NO(x) control technologies suitable for various applications. This paper presents a review on NO(x) removal techniques with particular reference to selective non-catalytic reduction (SNCR) technology. This includes initially how SNCR emerged as a technology along with a comparison with other relevant technologies. A review of various features related to selective non-catalytic gas phase injection of ammonia and ammonium salts (as reducing agent) is presented. The use of urea solution as a reducing agent and its performance in laboratory and pilot scale tests as well as large-scale applications is also discussed. Use of cyanuric acid as a potential reducing agent is also presented. The underlying reaction mechanisms have been reviewed for ammonia, urea and cyanuric acid for the explanation of various observations. Computational fluid dynamics (CFD) modeling as applied to SNCR is also presented. Subsequently the use of SNCR coupled with other in-combustion and post-combustion NO(x) control techniques is elaborated. Additionally, a two-stage NO(x) removal strategy to control un-reacted ammonia slip and to improve overall efficiency is discussed. At the end a summary is given which highlights various areas needing further research.     

碳中和时代下我国能量自给型污水处理厂发展方向及工程实践

基于碳中和背景及污水处理可持续、低碳运行理念,分析了我国污水处理厂不同水质、工艺类型、规模等条件下的能源消耗及能源回收特点,提出了以“碳改向技术+低耗高效复合脱氮技术+污泥厌氧共消化技术+污水热能回收技术+节能降耗技术”的污水处理新模式是实现我国能源自给型污水处理厂的关键,并提出我国污水处理厂实现碳中和应分为“完全能源自给”及“能源供应工厂”两个目标.此外,对基于此背景下建设的北京某再生水厂的理论能源自给情况进行了分析,结果表明,通过节能降耗、引入外源有机物、污水源热泵回收等措施,北京某再生水厂能源自给率由12.2%分别提高至17.1%、21.6%、84.7%.     

基于InVEST-PLUS模型的碳储量空间关联性及预测——以广东省为例

构建土地利用碳储量数据库,基于InVEST模型Carbon模块,得到广东省1990~2020年碳储量时空分布情况.用Moran’s I指数和Getis-Ord Gi^*分析格网尺度下碳储量时空分布特征,用Anselin Local Moran’s I得到LISA集聚图.然后运用PLUS模型和14个土地利用驱动因子预测2050年土地利用及其碳储量分布.结果表明,土地利用变化直接影响区域碳储量高低,林地、草地等具有生态服务功能地类碳密度最高,分别是188.44,329.34Mg/hm².碳储量空间格局整体呈现出中部低、北部高、东西中等的特点.碳储量空间分布特征与土地利用特征一致,碳储量显著高值集聚区域分布在建设用地少、生态用地多且连片的粤北地区,显著低值区域分布在国土开发强度和生态用地破碎化程度高的珠三角地带.在自然发展情景下,到2050年广东省土地利用碳储量将减少4327.21万Mg,随着国土空间进一步开发,环珠江口沿岸城市碳储量持续下降.增加植被生态系统碳储量,是实现碳中和的重要手段之一.要继续维持粤北山区生态保护屏障的重要地位,减缓珠三角城市土地开发强度,提高建设用地集约节约能力,形成平衡协调的土地利用和碳储量格局.     

Europe–Middle East–North Africa cooperation for sustainable electricity and water

This report summarizes the results of two studies of electricity supply for Europe (EU), the Middle East (ME) and North Africa (NA) up to the year 2050. It shows that a transition to competitive, secure and sustainable supply of electricity and water is possible using renewable energy sources, efficiency gains and fossil fuel backup for balancing power. A strong cooperation between the EU and MENA for the market introduction of renewable energy and the interconnection of the electricity grids by high-voltage direct-current transmission are keys to the success and survival of the whole region. However, the necessary measures will take at least two decades to become effective. Therefore, adequate policy and economic frameworks for their realization must be introduced immediately. The importance of sustainable energy for the security of freshwater supplies in MENA is also described.

环境约束下长江经济带全要素能源效率的时空分异研究——基于超效率DEA模型和ML指数法

基于超效率DEA模型和ML指数法,考察长江经济带1999~2013年全要素能源效率。实证研究结果显示:研究期内,环境约束下的长江经济带全要素能源效率年均下降2.9%,而不考虑环境因素的全要素能源效率年均下降幅度仅为0.4%,污染是导致能源效率损失的重要因素;长江经济带整体层面全要素能源效率的发展演变基本呈"双峰一谷"的"M"形分布,表现为两个"上升—下降"周期,而省际和上中下游全要素能源效率的演变特征迥异;从空间差异看,省际全要素能源效率差异远远大于上中下游差异,但近年来这种差异均有不同程度的缩小。未来长江经济带发展必须践行生态文明发展战略,保证发展的可持续性,同时加强能源、环保等领域的合作,促进长江经济带全要素能源效率发展的协同进步。     

碳减排背景下我国与世界主要能源消费国能源消费结构与模式对比

选取2020年世界能源消费量累积占比达80%的前23个国家作为研究对象,通过从一次能源清洁化率、化石能源清洁利用率和电能占终端能源消费率角度对其能源消费结构进行对比研究,从单位GDP能耗、人均能耗和单位国土面积能耗角度,结合产业结构和分部门能源消费构成,对其能源消费强度进行深入分析,探讨各国在社会经济运行与生产生活中的能源消费模式,提出能源消费自然碳汇承载负荷比概念,指出我国在碳达峰与碳中和目标下能源消费模式转型面临的优势与挑战.结果表明,我国一次能源清洁化率、发电用能占比、化石能源清洁化利用率和电能占终端能耗比分别达到15.90%、53.48%、37.51%和26.54%,均在世界主要能源消费国家中处于前列,已经架构起良好的能源集约化和清洁化利用结构基础;非工农业能源消费占比尤其是仅为14.09%的交通能源占比在主要能源消费国中最低,已经形成了具有相对优势的绿色低碳能源消费模式;基于产业结构优化潜在的总体能源生产率还有较大提升空间;但相对较短的碳达峰与碳中和目标期对清洁能源发展速度与规模提出了巨大挑战,碳排放约束下的国际形势对我国通过优化调整产业结构实现降碳目标也增加了难度.     

贮存寿命评价工具箱设计研究

作为装备贮存可靠性与贮存寿命评价的关键技术,加速寿命试验和加速退化试验已在工程中广泛应用,基于物理分析的贮存寿命特征检测技术也逐步在贮存寿命评价工程中开展。贮存寿命评价技术已有一套完整的理论基础并积累了大量的工程实践经验,但行业内至今仍缺少专门针对贮存寿命评价的软件工具。本文通过对贮存寿命评价工具箱的需求分析研究工作,构建了工具箱的技术框架,并给出工具箱各主要模块的业务流程图和业务概念图,为贮存寿命工具箱的开发提供了支撑。