Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.     

某“W”型锅炉炉效低的综合治理

针对某锅炉经济性差的问题，从设备、运行及自动控制等方面分析，并进行了相应整改。影响炉效的主要因素有煤质恶化、灰渣含碳量高、排烟温度高和CO浓度高等，同时炉膛燃烧不稳定也是影响燃烧效率的重要因素。通过漏风整改、制粉系统优化、燃烧优化调整和控制系统优化等方法有效提高了锅炉经济性。研究表明：分析锅炉经济性降低的影响因素时应抓住主要因素，兼顾其他，科学的生产管理是保证锅炉运行经济性的重要基础；入炉煤质恶化是最主要的外在因素；良好的自动控制系统能有效稳定燃烧参数，提高燃烧效率；降低飞灰含碳量的主要工作应集中在制粉系统优化调整；完整而系统的燃烧调整试验能够保证锅炉运行控制参数的科学合理，并需要正确调整氮氧化物排放和锅炉效率之间的关系。     

悬挂链生物接触氧化工艺处理河道污水

采用悬挂链曝气式接触氧化工艺在3个时段内处理城市河道污水,通过采用磷脂法、TTC-脱氢酶活性法和MPN法研究载体表面生物膜特性,来验证装置的水质净化效果。结果表明,进水水质变化幅度较大的时段1内,水质对缺氧区和好氧区内生物膜量及活性有很大冲击,对污染物的去除效果影响不大,COD、NH+4-N、TN和TP的平均去除率分别达到75.9%、80.8%、64.6%和78.3%;进水水质稳定的时段2内,缺氧区和好氧区内生物膜量和活性要高于其他时段,COD、NH+4-N、TN和TP的平均去除率分别达到77.0%、80.6%、69.4%和55.3%;低温运行的时段3内,缺氧区和好氧区内生物膜量和活性都低于其他时段,水质净化效果明显下降,COD、NH+4-N、TN和TP的平均去除率分别为71.1%、68.5%、48.9%和46.6%。     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

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。     

不同自燃倾向性煤的指标气体产生规律实验研究

为研究不同自燃倾向性煤的自燃指标气体变化规律，提高对煤早期自燃预测预报的准确度，采用程序升温实验系统，得到内蒙古褐煤、神东长焰煤、河南气煤及枣庄焦煤4种不同变质程度煤的氧化时间随温度的变化关系，以及指标气体浓度在煤氧化过程中的变化规律。结果表明:自燃倾向性最高的褐煤应以CO和乙烯作为煤自燃早期预报的首选指标气体；易自燃的长焰煤应采用乙烯和烯烷比为主、以CO为辅的煤自燃判定指标；自燃倾向性较低的气煤应以乙烯和烯烷比作为煤自燃预报指标；CO是自燃倾向性最低的焦煤的最佳自燃预报指标气体。     

氢安全研究现状及面临的挑战

氢能具有储运便捷、来源多样、洁净环保等突出优点,许多国家把发展氢能作为重要的能源战略。氢安全是氢能大规模商业化应用的重要保障。在分析国内外氢安全领域近年来最新研究进展的基础上,依次从氢泄漏与扩散、氢燃烧与爆炸、氢与金属材料相容性及氢风险评价等方面,系统总结了国内外氢安全研究面临的挑战,并对我国氢安全的发展提出了建议。     

Characterization of coffee residues pellets and their performance in a residential combustor

Spent coffee grounds (SCG) and coffee husks (CH) were evaluated as biofuels, after densification, for energy production. CH represent a specific problem for the coffee industry due to a low calorific value, high ash content, and a very low bulk density. Hence, the energetic potential of SCG (95 wt%)/CH (5 wt%) blend and pure SCG (100%) were examined. The blend of SCG and CH was limited to 5 wt% of CH because of the low bulk density of CH. Therefore, physicochemical and energetic characterizations of the produced pellets were performed. Thermogravimetric analyses were performed under nitrogen and air atmospheres to evaluate the CH behavior in the blend. Characterization study shows that both produced pellets could reach the French Agropellets standard (AQI). Thermal degradation showed that the mean reactivity of the SCG/HC pellets was higher than pure SCG. Then, combustion experiments were performed in a domestic combustor, after modification of the boiler power in order to improve its energetic performances. The presence of CH led to a rise of CO, NOx, VOC’s, and particle emissions. Nevertheless, the performances of the biofuels are almost in agreement the NF EN 12809 standard.     

Fuel efficiency improvement of a dual-fuel engine fuelled with Honge oil methyl ester (HOME)–bioethanol and producer gas

Renewable and alternative fuels have numerous advantages compared with fossil fuels as they are renewable and biodegradable and provide food and energy security and foreign exchange savings besides addressing environmental concerns and socio-economic issues (Yaliwal et al. 2013. International Journal of Sustainable Engineering, doi:10.1080/19397038.2013.801530. Zhu et al. 2011a, Applied Thermal Engineering 31 (14–15): 2271–2278; Zhu et al. 2011b, Fuel 90: 1743-1750; Banapurmath, Tewari, and Hosmath 2008, Renewable Energy 33: 2007-2018; Banapurmath 2009, “Performance, Combustion and Emission Characteristics of a Single Cylinder Direct Injection CI Engine Operated on Dual Fuel Mode Using Honge Oil and Producer Gas.” PhD thesis, 1–195; Banapurmath et al. 2011, Waste and Biomass Valorization 2: 1–11). In this context, the main objective of the present work is to study methods of biofuel production such as Honge oil methyl ester (HOME) using a conventional transesterification process and bioethanol from the Calliandra calothyrsus shrub using a new pretreatment method known as hydrothermal explosion. Further, experimental investigations were carried out on a single-cylinder, four-stroke, direct-injection stationary diesel engine operating in a dual-fuel mode using HOME, bioethanol and producer gas combinations to determine its performance, combustion and emission characteristics. The performance of the dual-fuel engine was analyzed at optimized engine conditions. HOME-Bioethanol (BE) blends such as HOME+ 5% bioethanol (BE5), HOME+ 10% bioethanol (BE10) and HOME+ 15% bioethanol (BE15) were prepared by adding bioethanol to HOME (on volume basis) in different proportions ranging from 5 to 15% with an increment of 5%. In this present work, the effect of different BE blends on the performance of producer gas fuelled dual fuel engine was studied. Experimental investigation on dual fuel engine using BE5-Producer gas operation resulted in up to 4–9% increased brake thermal efficiency with decreased hydrocarbon (HC), carbon monoxide (CO) and marginally increased nitric oxide (NOx) emission levels compared to HOME-Producer gas, BE10-producer gas and BE15-producer gas mode of operation. However, it was observed that, the overall performance of BE-producer gas operation was found to be lower compared to diesel-producer gas operation.     

黑水河下游鱼类资源现状及其保护措施

为了解白鹤滩蓄水运行前黑水河下游鱼类资源的现状、受到的主要威胁及其保护措施,于2014年1~12月在黑水河下游干支流江段采用电捕法进行了渔获物调查。结果显示:12个月共调查发现鱼类28种,隶属于3目8科23属,其中喜流水生境、产粘沉性卵、以着生藻类或/和底栖动物为食物的鱼类种类较多;调查区域鱼类个体规格普遍较小,其中齐口裂腹鱼Schizothorax prenanti、短体副鳅Paracobitis potanini、红尾副鳅Paracobitis varigatus、短须裂腹鱼Schizothorax wangchiachii、前鳍高原鳅Triplophysa anterodorsalis、中华纹胸鮡Glyptothorax sinense和凹尾拟鲿Pseudobagrus emarginatus为调查区域的主要经济鱼类;上半年和下半年的渔获物结构在统计学上差异显著(R=0.81,p=0.1%0.05),鱼类在金沙江干流和黑水河下游之间的相互迁徙比较明显;CPUE呈现先波动下降然后逐月上升的趋势,其中10月份的CPUE最低;丰度生物量比较曲线显示2014年各月的渔获物结构均处于严重干扰状态。黑水河下游河道采砂以及过度捕捞是白鹤滩蓄水前影响黑水河下游鱼类资源的主要因素,建议通过控制采砂的江段、采砂的时间以及全面禁捕保护该区域的鱼类资源。