食用植物油加工VOCs排放特征

获取了菜籽和大豆植物油加工行业VOCs排放系数、成分谱和臭氧生成贡献,并对其全国VOCs排放量进行了计算.结果表明,菜籽油加工过程VOCs排放系数为1.20kg/t菜籽用量和6.32kg/t菜籽油产量,大豆油加工过程VOCs排放系数为0.36kg/t大豆用量和2.35kg/t大豆油产量.菜籽油和大豆油加工排放的VOCs主要来自于有机溶剂挥发.VOCs排放占比最大的物种是正己烷,其次是甲基戊烷（包括3-甲基戊烷和2-甲基戊烷）,再次是甲基环戊烷.植物油加工行业OFP为931.47μg/m³,其中,烷烃贡献最大,占比为61.90%;其次是烯烃和OVOCs,占比分别为19.61%和15.14%,.2019年中国大豆和油菜籽植物油加工VOCs排放量为5.12万t,大豆和油菜籽植物油分别贡献65.4%和34.6%,山东、湖北、江苏、广东、河南、广西、天津、河北、湖南、福建是贡献最大的10个省份,合计占比72.0%.     

高压天然气含油检测及在除油效果评价中的应用

目的为高压天然气中含油量检测提供方法。方法将取样装置安装在管道中部,在管道上通过一级减压阀将进气压力减压至2 MPa,再通过二级减压阀减压至0.3～0.4 MPa。通过流量计控制流速为18～20 L/min,取样时间为30～50 min。当气体通过取样装置时,气体中的油分截留于取样滤膜上,从而进行取样。将取样滤膜取出,放入萃取烧杯中,使萃取剂充分萃取油分。将萃取后的溶液倒入比色皿中,将比色皿置于油分浓度分析仪,测出气体含油量。结果通过除油器后的压缩天然气含油量较高,体积分数最小值为7.7×10~(-6),最高值为12.1×10~(-6),远超除油器技术协议规定的4×10~(-6)。检测结果表明,除油器出口端含油量超过设计指标2～3倍,除油效果较差。结论提出了减压取样、萃取检测的方法,并通过现场试验验证了该方法可以准确测定高压天然气的含油量。将油量检测方法用于除油效果评估,现场试验验证该检测方法可行。     

中石油东部炼油企业设备腐蚀与控制现状

针对原油炼化过程中对设备与管道造成的腐蚀破坏作用,分析了主要腐蚀性介质单质硫、硫化氢、环烷酸及HCl+H_2S+H_2O体系的来源、形成机制、腐蚀机理,介绍了中石油东部七个石化企业所加工原油的含硫、含盐和含酸情况,依据炼油流程分别对比阐述了这些企业的原油脱盐脱水、常减压蒸馏、催化裂化、加氢裂化、延迟焦化和其他流程中主要设备和管道的腐蚀与控制现状,并提出了中石油炼化企业和相关的研究机构今后在这方面的研究与应用方向。     

油指纹多元统计分析在鉴别地表水石油类污染来源中的应用研究

采用油指纹多元统计方法,对嘉兴市杭州塘和长山河水系沿岸加油站9个不同来源的轻质柴油进行了分类鉴别,并考察了风化的影响.结果表明:仅基于GC-MS谱图,很难对不同轻质柴油的来源进行鉴别;但基于GC-MS谱图,提取正构烷烃及多环芳烃特征比值,进一步采用多元统计方法,可以对不同来源的轻质柴油进行区分.考虑实际水环境中油污染物会风化,向河水中投入两种轻质柴油,考察了不同初始浓度和不同风化时间下的油指纹变化,发现油污染物初始浓度为0.5 mg·L~(-1)时,所有特征比值在风化过程中均极不稳定,无法用于分类鉴别;油污染物初始浓度达到1.0 mg·L~(-1)及以上时,特征比值C_(17)/Pr、C_(18)/Ph在风化5 d内可用作油指纹的鉴别指标,5 d后无法用于鉴别;特征比值Pr/Ph、(C_(19)+C_(20))/(C_(21)+C_(22))、CPI受风化时间影响小,始终可以作为油指纹鉴别的特征指标.     

油库雷击事故的预防与控制

油库是储存易燃易爆油品的专用场所,雷电是油库安全生产的重大隐患,油库防雷已成为关系到经济建设、社会发展和人民生命财产安全的重大课题。针对目前我国油库雷击事故频繁发生的问题,在对大量事故资料研究的基础上,分析了油库雷击火灾爆炸事故的原因,指出雷电产生的火花引燃油气是导致油库火灾爆炸的主要原因。并重点从安全管理学的角度,运用事故预防与控制的＂3E＂对策,分别从安全技术、安全管理、安全教育三个方面探讨了油库雷击事故的预防与控制措施。     

四氯乙烯代替四氯化碳测定水中油类物质初探

通过使用四氯乙烯代替四氯化碳测定水中油类物质的对比实验,得到如下结论：四氯乙烯作萃取剂时,标准曲线线性相关系数为0．9999,检出限为0．336mg／L,精密度和准确度符合质控要求。但标准曲线方程的斜率较差,在分析浓度较低的样品时,准确度相对误差较大,萃取回收率不高。由此可以看出,使用四氯乙烯分析油类物质的局限性较大,分析方法还需进一步研究。     

Selection of optimum fish oil fuel blend to reduce the greenhouse gas emissions in an IC engine—A hybrid multiple criteria decision aid approach

The increasing demand on energy due to population growth and rising of living standards has led to considerable use of fossil fuels which has in turn, had an adverse impact on environmental pollution and depletion of fossil fuels in Internal Combustion (IC) engine sector. Alternative fuel blend evaluation in IC engine fuel technologies is a very important strategic decision involving decisions balancing within a number of criteria and opinions from different decision maker of IC engine experts. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of optimum biodiesel blend in the IC engine. The proposed model, Analytical Network Process (ANP) is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to evaluate the optimum blend. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS is used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP and TOPSIS. The obtained preference order for the blends are as B20 > B40 > Diesel > B60 > B80 > B100. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R&D engineers to meet the fuel economy and emission norms to empower the green revolution.     

Transesterification of hazelnut oil by ultrasonic irradiation

Ultrasonic irradiation is considered an effective way to increase mass transfer between immiscible liquid–liquid phases in a heterogeneous system leading to faster transesterification and higher yield and saving excess methanol and catalyst. In this study, the transesteri?cation of hazelnut oil with methanol and ethanol was performed in the presence of potassium hydroxide or sodium methoxide as a catalyst using two types of ultrasonic irradiation with a probe (20 kHz, 200 W) and a bath (35 kHz, 400 W); a conventional production method was also used. The reaction time, alcohol:oil molar ratio, catalyst type (KOH or NaOCH₃), and catalyst amount (wt.% of oil) were studied as experimental parameters. The highest methyl ester conversion was obtained as 98.12% by using ultrasonic probe at a 5:1 methanol:oil molar ratio with KOH 1 wt.% of oil as catalyst in 20-min reaction time at autogenous temperature. The application of ultrasonic irradiation by using a probe decreased the level of energy consumption, showing that this method may be a promising alternative compared with the conventional production method.     

Biodiesel production from a free fatty acid containing Karanja oil by a single-step heterogeneously catalyzed process

Karanja oil, containing 6.2% free fatty acids (FFAs), was considered for biodiesel production using a single-step solid-phase acid catalyzed process. Different types of zeolites and Amberlyst15 catalysts were tested and biodiesel was produced. Under similar conditions, the highest biodiesel yield was achieved using an Amberlyst15 catalyst, which contained 3–5% of moisture. The effects of operating parameters of the reaction such as reaction temperature, catalyst amount, and methanol-to-oil ratio were studied. An increase of methanol:oil ratio revealed a non-monotonic increase in biodiesel yields. Similar non-monotonic behavior was observed when Jatropha oil was used. Leaching and catalyst reusability were also considered. No significant effects of leaching were observed and catalyst reusability appeared to be affected by methanol interactions. The presence of a co-solvent, Tetrahydrofuran (THF), increased the biodiesel yield. Furthermore, an optimum amount of THF (THF:methanol volume ratio of 1:2) gave rise to the highest biodiesel yield. A biodiesel yield of 93% was achieved at 120 °C using a single-step process with Amberlyst15 as a catalyst, THF as a co-solvent, and a methanol:oil ratio of 30:1.     

Oil-Induced environmental Kuznets curve in organization of petroleum exporting countries (OPEC)

This study investigates the environmental Kuznets curve (EKC) hypothesis in 10 of the Organization of Petroleum Exporting Countries (OPEC). To realize the study’s aims a time series model is built based on the period 1977–2008, utilizing the ecological footprint as an environmental indicator and income, labour, capital, oil consumption and oil price as economic indicators. Employing the Autoregressive Distributed Lag (ARDL) approach, by comparing the short and long-run income elasticities, the EKC hypothesis is present in six OPEC countries namely Algeria, Iraq, Venezuela, Nigeria, Qatar and Kuwait. Moreover, the Toda–Yamamoto–Dolado–Lütkepohl (TYDL) causality tests outcome show that, after oil consumption, the most significant factors in increasing ecological footprint are labor and capital. This implies the relocation of pollution intensive industries to almost all of the OPEC countries. However, oil prices reduce environmental damage by its negative effect on the ecological footprint. From the outcome of this study it is important for the investigated countries to reduce their consumption of fossil fuel energy since it represents an important source of pollution. This can be achieved by allocating more labor and capital in projects and investments on renewable energy, energy efficiency and energy saving.