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198,409 result(s) for "OIL PRODUCTS"
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Planet palm : how palm oil ended up in everything - and endangered the world
It's in our instant noodles and chocolate bars, our lipsticks and fuel tanks. But what even is palm oil, and how has it come to dominate our lives so completely? Jocelyn C. Zuckerman travels across four continents and back two centuries to find answers about the most widely used vegetable oil on Earth.
Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Algorithms and Chemometric Algorithms
The fast and accurate quantitative detection of camellia oil products is significant for multiple reasons. In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR). Independent component analysis (ICA), competitive adaptive reweighing sampling (CARS), and their dual combinations served to extract spectral features. In camellia oil adulteration with rice bran oil, both the ICA-BPNN and ICA-PLSR models are found to achieve satisfactory performances. For camellia oil adulteration with rice bran oil and corn oil, on the other hand, the performances of BPNN-based models are substantially deteriorated, and the best prediction accuracy is achieved by a PLSR model coupled with CARS-ICA. In addition to performance fluctuations with varying regression algorithms, the output for feature extraction method also played a vital role in ultimate prediction performance.
Modelling oil product prices with due regard to proliferation of alternative fuels and tightening of technical standards
Purpose This paper aims to clarify the relationship between oil product prices and factors describing the most crucial emerging trends in fuel consumption. The work is aimed to test the hypothesis that the proliferation of alternative fuel cars is a significant factor in determining the level of motor fuel prices. The influence of technical standards of oil products on the model parameters is also analysed. Design/methodology/approach The hypothesis testing is carried out on the basis of an econometric analysis of information regarding the North-West European commodity market and the data on the registration of alternative fuel passenger vehicles. Time series are analysed for the presence of a structural shift in the parameters of the model as a result of changes in the requirements of technical regulations for fuel. Findings The results suggest a different nature of the influence of the proliferation of alternative fuel passenger vehicles – it has little effect on diesel prices, whilst the indicators under study have a negative effect on the prices of motor gasoline. The construction of oil product price models has confirmed the impact of tightening the technical requirements for the parameters of dependence equations. Practical implications The obtained results can be used in forecasting price indicators in oil refining for strategic and investment purposes. Originality/value This paper fulfils an identified need to take into account the emerging global trends in fuel consumption to obtain reliable parameters for oil product price modelling.
Linkages between Energy Delivery and Economic Growth from the Point of View of Sustainable Development and Seaports
This paper presents the synchronisation of economic cycles of GDP and crude oil and oil products cargo volumes in major Polish seaports. On the one hand, this issue fits into the concept of sustainable development including decoupling; on the other hand, the synchronisation may be an early warning tool. Crude oil and oil products cargo volumes are a specific barometer that predicts the next economic cycle, especially as they are primary sources of energy production. The research study applies a number of TRAMO/SEATS methods, the Hodrick–Prescott filter, spectral analysis, correlation and cross-correlation function. Noteworthy is the modern approach of using synchronisation of economic cycles as a tool, which was described in the paper. According to the study results, the cyclical components of the cargo traffic and GDP were affected by the leakage of other short-term cycles. However, based on the cross-correlation, it was proved that changes in crude oil and oil products cargo volumes preceded changes in GDP by 1–3 quarters, which may be valuable information for decision-makers and economic development planners.
Impact of Oil Factor on Consumer Market: The Case of Azerbaijan
This article investigates the long ‒term and short ‒term interactions between crude oil and oil products export, and consumer market, retail trade, public catering, paid services and retail trade turnover per person of population in Azerbaijan using annual data from 1997 to 2021. In this research, the ARDL model was used to assess co ‒integration and short ‒term relationships. In addition, this study used the FMOLS, DOLS, and CCR co ‒integration equations to explore long ‒term coefficients between variables. Granger causation tests were performed, Granger causation analysis was assessed using the Wald test (short ‒term or weak causation, long ‒term causation, and both short ‒term and long ‒term causation or strong causal relationship). The study proposed 5 hypotheses regarding the impact of oil and oil products export, and consumer market, retail trade, public catering, paid services and retail trade turnover per person of population. Some of the hypotheses were generally, if not completely, justified. Based on the established models and tests carried out, there are co ‒integrating relationships between the variables. Model coefficients are selected according to their economic and statistical significance.
Valorization of Grain and Oil By-Products with Special Focus on Hemicellulose Modification
Hemicellulose is one of the most important natural polysaccharides in nature. Hemicellulose from different sources varies in chemical composition and structure, which in turn affects the modification effects and industrial applications. Grain and oil by-products (GOBPs) are important raw materials for hemicellulose. This article reviews the modification methods of hemicellulose in GOBPs. The effects of chemical and physical modification methods on the properties of GOBP hemicellulose biomaterials are evaluated. The potential applications of modified GOBP hemicellulose are discussed, including its use in film production, hydrogel formation, three-dimensional (3D) printing materials, and adsorbents for environmental remediation. The limitations and future recommendations are also proposed to provide theoretical foundations and technical support for the efficient utilization of these by-products.
Laboratory simulation of the successive aerobic and anaerobic degradation of oil products in oil-contaminated high-moor peat
A model experiment has been performed on the successive aerobic and anaerobic degradation of oil products in samples of oil-contaminated peat sampled from a pine-subshrub-sphagnum bog near the Sutormin oilfield pipeline in the Yamal-Nenets autonomous district. During the incubation of oil-contaminated peat with lime and mineral fertilizers under complete flooding, favorable conditions are created for the aerobic oxidation of oil products at the beginning of the experiment and, as the redox potential decreases, for the anaerobic degradation of oil products conjugated with the reduction of N⁵⁺and S⁺⁶and methanogenesis. From the experimental data on the dynamics of the pH; Eh; and the NO₃⁻, NO₂⁻, and SO₄²⁻concentrations in the liquid phase of the samples, it has been found that denitrifiers significantly contributed to the biodegradation of oil products under the experimental conditions. After the end of the experiment, the content of oil products in the contaminated samples decreased by 21–26%.
Regional economic outlook, October 2011
The Arab Spring holds the promise of improved living standards and a more prosperous future for the peoples of the Middle East and North Africa region. At the same time, the region is witnessing uncertainty and economic pressures from domestic and external sources, which will likely be exacerbated by the recent worsening of the global economy. The main challenge in the short term will be to manage expectations while maintaining economic stability. To that end, better-targeted subsidies and transfers will help free up resources for investment in infrastructure, education, and health. Policies aimed at fostering inclusive growth will also help cement the longer-term benefits of the ongoing changes in the region. In the Caucasus and Central Asia, the economic outlook is broadly positive. Exports and remittances--key growth drivers in 2010--are continuing to grow solidly, helping the recovery gain firm momentum. At the same time, uncertainties over the robustness of the global recovery constitute a downside risk to the growth outlook. Key challenges facing the region over the medium term are to create jobs and foster high and inclusive growth.
Environmental Implications of Energy Sources: A Review on Technologies for Cleaning Oil-Contaminated Ecosystems
This review analyzes the main methods for cleaning up oil pollution in natural ecosystems, with a particular focus on the synergy between chemical and microbiological techniques for environmental remediation. While biological methods are a green and inexpensive soil remediation technique, they have a major limitation in their inability to clean up high concentrations of toxic contaminants. The poor performance of chemical methods stems from the high cost of chemicals and concerns over their negative and toxic effects on the environment. Physical methods also have high costs due to energy consumption and the need for additional treatment of gases generated during decontamination, making them ineffective for soil remediation. The main principle of bioremediation is based on microorganisms’ ability to degrade complex organic compounds, such as petroleum. This process is described in this review. This combination of methods allows for a higher level of decontamination of soil and water ecosystems, even against pollutants that are usually resistant to degradation, such as oil derivatives. While existing methods for cleaning oil-contaminated ecosystems are highly effective, they require significant material costs to implement. Additionally, the review discusses how the joint use of current and future biotechnology techniques can lead to the development of an effective set of strategies to protect soil and water systems from oil pollution. The reviewed studies show that a hybrid biotechnological approach is the most effective remediation method. When biological decontamination methods are adopted, the optimized combination of different remediation strategies can overcome the limitations of each technique, allowing efficiencies of even more than 70% to be achieved, given that the choice still depends on the type of contaminant, its concentration, and the properties of the receiving substrate.