petroleum refining
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Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 183
Author(s):  
Xingyun Hu ◽  
Linghao Kong ◽  
Feng Zhu ◽  
Xianjia Peng

Little work has been focused on the recycling of hazardous acid waste with high concentrations of organic matter from petroleum refining. This study developed an innovative, effective, and simple method for the recycling of acid waste that can successfully resolve this significant problem in industry. After parameter optimization, the optimal process is as follows. (1) Through heat treatment at 170 °C, liquid acid waste was transformed into solid; (2) by washing the solids, 70% by weight of sulfuric acid was recycled; and (3) the solid residue after washing was activated by alkali (NaOH or KOH) at an alkali and organic carbon ratio of 2:1, at a temperature of 650 °C for 60 min, producing superior-grade activated carbon with a specific surface area of 1378 m2/g, a pore volume of 0.5107 cm2/g, an iodine number of 1800 mg/g, and a methylene blue adsorption capacity of 240 mg/g. Thus, in this way, both waste sulfuric acid and organic impurities are turned into valuable resources, and no hazardous waste gypsum residues are generated. This method both reduces carbon emissions and recycles valuable resources, which is of important environmental and economic significance.


Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 205
Author(s):  
Jingsi Huang ◽  
Wei Li ◽  
Xiangyu Wu

Many countries, including China, have implemented supporting policies to promote the commercialized application of green hydrogen and hydrogen fuel cells. In this study, a system dynamics (SD) model is proposed to study the evolution of hydrogen demand in China from the petroleum refining industry, the synthetic ammonia industry, and the vehicle market. In the model, the impact from the macro-environment, hydrogen fuel supply, and construction of hydrogen facilities is considered to combine in incentives for supporting policies. To further formulate the competitive relationship in the vehicle market, the Lotka–Volterra (LV) approach is adopted. The model is verified using published data from 2003 to 2017. The model is also used to forecast China’s hydrogen demand up to the year of 2030 under three different scenarios. Finally, some forward-looking guidance is provided to policy makers according to the forecasting results.


2021 ◽  
pp. 281-314
Author(s):  
Nour Shafik El-Gendy ◽  
Hussein Nabil Nassar ◽  
James G. Speight
Keyword(s):  

Author(s):  
Taeheon Lee ◽  
Philip T. Dirlam ◽  
Jon T. Njardarson ◽  
Richard S. Glass ◽  
Jeffrey Pyun

Upravlenie ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 27-38
Author(s):  
M. M. Gayfullina ◽  
G. Z. Nizamova

The article presents the results of the analysis of the investment attractiveness of the petroleum refining industry using correlation and regression methods. It has been suggested to evaluate the level of investment attractiveness of the petroleum refining industry through capital productivity. A system of indicators affecting the investment attractiveness of the petroleum refining has been formed in the context of resource and production, financial, economic and social groups of factors. This methodology of correlation and regression analysis for modeling factors affecting investment attractiveness has been presented. The methodology includes the construction of a pair correlation, the selection of factors, the construction of a generalised correlation matrix using the “Correlation” tool in the “Data Analysis” package Microsoft Excel, the regression analysis based on the finally selected factors, the construction of the regression equation, the justification of the obtained dependence using the “Regression” tool in the “Data Analysis” package MS Excel.According to the results of calculations for the type of economic activity “Production of coke and petroleum products” in the Russian Federation in dynamics for 2012 –2019, a strong correlation has been revealed between the output-capital ratio and such factors as the oil refining depth, profit from sales and labor productivity.The results of the study can be used to identify significant factors affecting the investment attractiveness of the petroleum refining industry in order to further optimise them.


Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1811
Author(s):  
Aliya N. Mukhamed’yarova ◽  
Bulat I. Gareev ◽  
Danis K. Nurgaliev ◽  
Firdavs A. Aliev ◽  
Alexey V. Vakhin

Aluminum oxides and hydroxides are widely applied because of the great variety of their modifications. In particular, aluminum oxides and hydroxides are used in petrochemistry and oil refining. However, amorphous aluminum compounds have not been sufficiently studied due to the complexity of their synthesis and the problems encountered during their study. The study of amorphous aluminum compounds is hindered by the ambiguity of terminology. In this work, the structures of amorphous aluminum compounds prepared by different methods and the properties that determine their applications have been highlighted in detail. Amorphous aluminum compounds play both positive and negative roles in petrochemistry; however, in petroleum refining, amorphous compounds (without promoters and transition metal salts) demonstrate a promising catalytic performance in oil upgrading.


Author(s):  
Michelle Sovinsky

Abstract Every year thousands of firms are engaged in research joint ventures (RJV), where all knowledge gained through R&D is shared among members. Most of the empirical literature assumes members are non-cooperative in the product market. But many RJV members are rivals leaving open the possibility that firms may form RJVs to facilitate product market collusion. We examine this by exploiting variation in RJV formation generated by a policy change that affects the collusive benefits but not the research synergies associated with a RJV. We use data on RJVs formed between 1986 and 2001 together with firm-level information from Compustat to estimate a RJV participation equation. After correcting for the endogeneity of R&D and controlling for RJV characteristics and firm attributes, we find the decision to join is impacted by the policy change. We also find the magnitude is significant: the policy change resulted in an average drop in the probability of joining a RJV of $41\%$ among computer and semiconductor manufacturers, $34\%$ among telecommunications firms, and $33\%$ among petroleum refining firms. Our results are consistent with research joint ventures serving a collusive function.


Author(s):  
Joydev Manna ◽  
Prakash Jha ◽  
Rudranath Sarkhel ◽  
Chandan Banerjee ◽  
A.K. Tripathi ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Akhtar ◽  
Md Tanweer Ahmad

PurposeThis paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for order of preference by similarity to ideal solution (SFTOPSIS).Design/methodology/approachThe criteria for sustainable vendor evaluation and selection are identified from the review of the literature and further; it is finalized using the Delphi method. Eight supply chain (SC) experts from the Indian petro refining sector were identified as having more than five years of experience and agreed to participate in this study (known as decision-makers (DM)). Five vendors supplying spare-parts are shortlisted from the market with the discussion and consent of procurement experts from petroleum refineries. Subsequently, criteria and vendors are rated based on relative importance in linguistic terms from the group of eight DMs. As ratings involve uncertainties in the decision-making, the SFTOPSIS method is applied to determine criteria weight and vendor ranking at a distinct significance level (α). The ranking of the vendors is obtained for sustainable supply of spare-parts in the Indian petro refining sector using the SFTOPSIS method.FindingsThe ranking of sustainable vendors is obtained through the integrated application of the fuzzy and stochastic approach to capture the uncertainties in the ratings of DMs. The sensitivity analysis is carried out at distinct confidence limits of a normal distribution to obtain a robust ranking of the vendors. In this paper, a case application of SFTOPSIS in the Indian petro refining sector is presented in which key criteria and the vendor ranking are found to be changing with confidence limit for sustainable vendor evaluation.Practical implicationsThe fuzziness and randomness in relative ratings collects from a group of DMs are taken in the proposed methodology. The distinct approaches are compared with changing significance-level under stochastic, fuzzy and deterministic TOPSIS to acquire robustness in the ranking. The proposed SFTOPSIS model can be useful to practitioners from the petroleum sector.Originality/valueThe originality of the paper contributes to an application of the SFTOPSIS method that is the extension of FTOPSIS in the petro refining sector of a developing country. The sensitivity analysis with distinct significance-level shows the uncertainties in the collected ratings from the DMs that supports robustness in the ranking. It might be helpful for SC professionals from the petro refining sector, who assess the rank of the vendors at different confidence limits for sustainable supply of spare-parts. Further research in the petroleum industry from emerging economies needs to be undertaken to broaden its scope and applicability.


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