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Residual Oil (residual + oil)
Selected AbstractsSeparation of oil and carotenes from palm oil mill effluent by adsorption chromatography with silica based adsorbentASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, Issue 5 2009A. L. Ahmad Abstract Malaysia is an agricultural country and the major polluting industrial effluents have been from palm oil industry. Palm oil mill effluent (POME) is a liquid waste which causes a significant impact on the environment if it is not dealt properly. POME contains oil and carotenes that need to be treated before discharge. Owing to the readily available source of POME and growing demand of carotenes, the objective of this paper is to recover the carotenes from POME whilst tackling the environmental problem. In this study, solvent extraction is used to retrieve oil from POME and adsorption chromatography is further adopted to recover the carotenes contained in the oil. Residual oil extracted from POME in this study was about 5000 mg/L in a single stage solvent extraction. The carotenes content in recovered oil was about 450 ppm. Synthetic adsorbent with silica based material was used in the adsorption chromatography. Carotenes was concentrated to about 25 times of the concentration in the recovered oil by adsorption chromatography. Carotenes recovery was found to be depended on the process conditions. Different types of solvent, column temperatures and initial loading volumes were evaluated to determine the effects on the percentage of carotenes extracted and carotenes concentration. The suitable temperature for adsorption process was 40 °C. Carotenes was successfully concentrated from the recovered oil by adsorption chromatography process. Copyright © 2009 Curtin University of Technology and John Wiley & Sons, Ltd. [source] Accurate correlations to estimate refinery fuel gas, natural gas, and fuel oil CO2 emission factors and its uncertaintyAICHE JOURNAL, Issue 9 2010Esteban F. Márquez-Riquelme Abstract The quantification of Greenhouse Gas (GHG) inventories and its associated uncertainty is a relevant activity often requested by authorities. Accurate methods to calculate both inventories and the involved uncertainty are convenient for close monitoring purposes. Using Monte Carlo simulations, correlations of high accuracy between emission factors (EFs), lower heating value (LHV), and density were built for refinery fuel gas, natural gas and fuel/residual oil. In all cases, the data generated by the simulations also served the purpose of building correlations for upper and lower bounds of the EF that can be readily used to estimate the EF estimation uncertainty. The correlations were tested against actual refinery data and the results show that more accurate estimations were obtained compared with EF obtained from laboratory composition methods and from methods that estimate EF as proportional to LHV only. In the case of fuel and residual oils, the correlations developed are a function of LHV only but were improved by using a cubic polynomial. The calculation of upper and lower bounds for EF offer a convenient method to estimate EF uncertainties that are required in official GHG emissions inventory calculations. In conclusion, in addition to LHV, the use of one additional readily available fuel property, namely fuel density is sufficient to reduce uncertainty of estimation of GHG (in this case CO2) from combustion to acceptable levels. © 2010 American Institute of Chemical Engineers AIChE J, 2010 [source] Molecular detection of marine bacterial populations on beaches contaminated by the Nakhodka tanker oil-spill accidentENVIRONMENTAL MICROBIOLOGY, Issue 4 2001Yuki Kasai In January 1997, the tanker Nakhodka sank in the Japan Sea, and more than 5000 tons of heavy oil leaked. The released oil contaminated more than 500 km of the coastline, and some still remained even by June 1999. To investigate the long-term influence of the Nakhodka oil spill on marine bacterial populations, sea water and residual oil were sampled from the oil-contaminated zones 10, 18, 22 and 29 months after the accident, and the bacterial populations in these samples were analysed by denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rDNA fragments. The dominant DGGE bands were sequenced, and the sequences were compared with those in DNA sequence libraries. Most of the bacteria in the sea water samples were classified as the Cytophaga,Flavobacterium,Bacteroides phylum, ,- Proteobacteria or cyanobacteria. The bacteria detected in the oil paste samples were different from those detected in the sea water samples; they were types related to hydrocarbon degraders, exemplified by strains closely related to Sphingomonas subarctica and Alcanivorax borkumensis. The sizes of the major bacterial populations in the oil paste samples ranged from 3.4 × 105 to 1.6 × 106 bacteria per gram of oil paste, these low numbers explaining the slow rate of natural attenuation. [source] Risk of weathered residual Exxon Valdez oil to pink salmon embryos in Prince William SoundENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 4 2007Ernest L. Brannon Abstract It has been hypothesized that pink salmon eggs incubating in intertidal streams transecting Prince William Sound (PWS) beaches oiled by the Exxon Valdez oil spill were exposed to lethal doses of dissolved hydrocarbons. Since polycyclic aromatic hydrocarbon (PAH) levels in the incubation gravel were too low to cause mortality, the allegation is that dissolved high-molecular-weight hydrocarbons (HPAH) leaching from oil deposits on the beach adjacent to the streams were the source of toxicity. To evaluate this hypothesis, we placed pink salmon eggs in PWS beach sediments containing residual oil from the Exxon Valdez oil spill and in control areas without oil. We quantified the hydrocarbon concentrations in the eggs after three weeks of incubation. Tissue PAH concentrations of eggs in oiled sediments were generally <100 ppb and similar to background levels on nonoiled beaches. Even eggs in direct contact with oil in the sediment resulted in tissue PAH loads well below the lethal threshold concentrations established in laboratory bioassays, and very low concentrations of HPAH compounds were present. These results indicate that petroleum hydrocarbons dissolved from oil deposits on intertidal beaches are not at concentrations that pose toxic risk to incubating pink salmon eggs. The evidence does not support the hypothesis that interstitial pore water in previously oiled beaches is highly toxic. [source] Chemical composition of the volatiles of Hemidesmus indicus R. Br.FLAVOUR AND FRAGRANCE JOURNAL, Issue 3 2001S. Nagarajan Abstract The fragrant roots of Hemidesmus indicus (Indian sarsaparilla) is used in Indian native medicine and herbal tea preparations. The volatiles obtained by steam distillation (yield, 0.25%) contained 2-hydroxy-4-methoxybenzaldehyde (91%) and (,) ledol (4.5%), which are isolable in pure form, as the major constituents. The GC,MS analysis of the residual oil showed the presence of over 40 minor constituents. Among them, nerolidol (1.2%), borneol (0.3%), linalyl acetate (0.2%), dihydrocarvyl acetate (0.1%), salicylaldehyde (0.1%), isocaryophyllene (0.1%), ,-terpinyl acetate (traces) and 1,8-cineol (traces) are important as aromatic and bio-active principles. Copyright © 2001 John Wiley & Sons, Ltd. [source] APPLICATION OF EXPERIMENTAL DESIGN METHOD TO THE OIL EXTRACTION FROM OLIVE CAKEJOURNAL OF FOOD PROCESSING AND PRESERVATION, Issue 2 2009SMAIL MEZIANE ABSTRACT Olive cake is an important solid waste of the olive oil production. It still contains a certain quantity of oil that can be recovered by means of solvent extraction. In this study, two-level full factorial design was performed to evaluate the effects of four variables and their interactions on the oil extraction by the ethanol 96.0% in a batch reactor. The variables included size of particles, temperature, and time of contact and solvent-to-solids ratio. The statistical analysis of the experimental data showed that the extracted oil mass depends on all the examined variables. It also depends on the interactions between size of particles and solvent-to-solid ratio and size of particles and temperature. The experimental data were in good agreement with those predicted by the model. PRACTICAL APPLICATIONS Olive cake is solid waste of the olive oil industry that is available in large amounts in many Mediterranean countries and at very low cost. It can be treated or valorized, enabling at the same time the solution to environmental problems caused by the olive oil production process. The economic interest that it presents is especially because of the residual oil that it contains and that can be recovered by solvent extraction. However, this solid,liquid extraction depends on several parameters: the ones inherent to the products (structure and properties of the sample, nature of extraction solvent); and the others to the extraction process (time of contact, temperature of extraction, solvent-to-solid ratio, stirring velocity). The experimental design method enables to determine the most important variables and their interaction in the extraction process at the same time performing a low number of experiments. [source] Accurate correlations to estimate refinery fuel gas, natural gas, and fuel oil CO2 emission factors and its uncertaintyAICHE JOURNAL, Issue 9 2010Esteban F. Márquez-Riquelme Abstract The quantification of Greenhouse Gas (GHG) inventories and its associated uncertainty is a relevant activity often requested by authorities. Accurate methods to calculate both inventories and the involved uncertainty are convenient for close monitoring purposes. Using Monte Carlo simulations, correlations of high accuracy between emission factors (EFs), lower heating value (LHV), and density were built for refinery fuel gas, natural gas and fuel/residual oil. In all cases, the data generated by the simulations also served the purpose of building correlations for upper and lower bounds of the EF that can be readily used to estimate the EF estimation uncertainty. The correlations were tested against actual refinery data and the results show that more accurate estimations were obtained compared with EF obtained from laboratory composition methods and from methods that estimate EF as proportional to LHV only. In the case of fuel and residual oils, the correlations developed are a function of LHV only but were improved by using a cubic polynomial. The calculation of upper and lower bounds for EF offer a convenient method to estimate EF uncertainties that are required in official GHG emissions inventory calculations. In conclusion, in addition to LHV, the use of one additional readily available fuel property, namely fuel density is sufficient to reduce uncertainty of estimation of GHG (in this case CO2) from combustion to acceptable levels. © 2010 American Institute of Chemical Engineers AIChE J, 2010 [source] | |||||||||||||