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RISS 인기검색어
- 검색키워드
- 저자 : Masoud Salehi (검색결과 10 건)
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Masoud Mandooie,Ehsan Salehi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-
Anhydrous zinc acetate was used as a low-cost catalyst for the urea alcoholysis to produce dimethyl carbonate(DMC). Important operating variables including reaction time, temperature and catalyst amountwere optimized using response surface methodology. Optimization was assessed through two differentapproaches. In the first approach, only DMC yield was maximized. N-methyl methyl carbamate(NMMC, the unfavorable byproduct) yield was minimized along with maximizing DMC yield in the secondapproach. Sobol sensitivity analysis uncovered that reaction temperature and the binary interactionof reaction temperature/catalyst amount were the most influential parameters on DMC yield with 57.01%and 29.17% impacts, respectively. Moreover, temperature and reaction time with 61.13% and 19.74%impacts were the most effective variables on NMMC yield. The multi-objective optimization results weremore suitable for application in continuous production of DMC due to avoiding NMMC production. Amodified continuous process was also proposed for DMC production. The main advantage of the preposedprocess was immediate extraction out of DMC from the reaction zone. To investigate the possible reactionmechanism, the Binding Energies (BEs) of the reactants were assessed using Density-Functional-Theory. Results illustrated that the highest BE values belong to the interaction of zinc with the nitrogen of methylcarbamate (MC).
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Masoud Mandooie,Mahdi Rahimi,Golara Nikravesh,Ehsan Salehi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-
Urea alcoholysis is one of the environmental-friendly and economic methods for dimethyl carbonate(DMC) production. Various catalysts such as bases, organic tin, acids, ionic liquids and metal oxides havebeen used for synthesis of DMC through urea alcoholysis process. Based on literature survey, catalystscontaining both acidic and basic sites, are more suited for catalyzing the reaction; however, the basicityplays more conspicuous role. Zinc-based mixed metal oxides (MMOs) have emerged as potential catalystsfor this purpose mainly due to the amphoteric nature of ZnO as well as basic/acidic sites abundance. Thisarticle reviews zinc-based MMO catalysts focusing on catalytic performances and mechanisms, synthesizingmethods, characterizations and operating conditions of the reactors during a 20-years period. Literature survey uncovered that pure ZnO catalyst could exhibit a maximum of 37% DMC yield underthe utmost operating conditions. However, zinc-based MMO catalysts (binary or ternary) showed superiorperformance in DMC conversion through the urea alcoholysis process, usually under moderate operatingconditions, mainly due to synergetic effects among metal oxide phases. Among MMO catalysts,ZnO/CaO binary metal oxide and Zn/Ce/La ternary metal oxide catalysts tabulated the highest DMC productionyields of 41.2% and 50.4% respectively. Moreover, two different catalyst-test modes includingbatch and continuous, and three catalyst synthesizing methods including sol–gel, co-precipitation andurea precipitation (UPM) have been spotlighted in this review.
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Mohsen Salehi,Meysam Bayat,Mohsen Saadat,Masoud Nasri 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.6
Waste generated by the processing of natural stone poses environmental and economic problems. One promising use for stone waste is soil stabilization. In this paper, a number of tests including unconfined compressive strength (UCS) and California bearing ratio (CBR) of crushed stone were performed to study the effect of curing time, soaked and unsoaked conditions and freeze-thaw cycles on the geotechnical characteristics of cement-stabilized specimens. The results indicate that crushed stone waste can be combined with cement as a stabilizer to improve soil properties. Also the optimum moisture content (OMC) and maximum dry density (MDD) are dependent on the cement content and almost independent of the crushed stone waste content. The CBR increased significantly as the crushed stone waste and cement contents increased under both soaked and unsoaked conditions, but these had little effect on the UCS at curing times of less than 14 days. Cement-stabilized specimens with 10% crushed stone waste showed a significant increase in UCS. The CBR and UCS of unsoaked specimens were higher than for soaked specimens at different crushed stone waste and cement contents. The CBR and UCS values increased with an increase in curing time. However, the curing time had a more obvious effect on UCS than on CBR.
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Hematian Masoud,Vahedi Mojtaba,Samiei Moghaddam Mahmoud,Salehi Nasrin,Azarfar Azita 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.5
The reconfiguration of the smart distribution grid is one of the low-cost and effective ways to improve loss reduction and voltage balance, which has faced important challenges with the presence of issues such as energy storage systems, electric vehicles, demand side management, and fossil distributed generation resources. In recent studies, in addition to considering the reduction of distribution system losses as one of the goals of the optimization problem, reducing the purchase of power from the transmission network in distribution substations has also been considered by researchers. In this paper, a second-order cone optimization model to solve the stochastic dynamic reconfiguration based on a scenario considering renewable energy resources, energy storage systems, electric vehicles, and demand-side management program with fossil distributed generation such as gas-fired and diesel generators resources to improve a multi-objective function including reducing power losses, reducing power purchases at distribution substations and reducing the cost of cutting off renewable energy resources has been proposed. The proposed model is implemented using the Gurobi solver and the Julia programming language, and the results of the IEEE 33-bus network analysis for the day ahead and the 24 h load curve demonstrate the performance of the proposed model.
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Kamyar Mansori,Masoud Solaymani-Dodaran,Alireza Mosavi-Jarrahi,Ali Ganbary Motlagh,Masoud Salehi,Alireza Delavari,Mohsen Asadi-Lari 대한예방의학회 2018 Journal of Preventive Medicine and Public Health Vol.51 No.1
Objectives: The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. Methods: This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. Results: The Moran index was statistically significant for all the variables studied (p<0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. Conclusions: Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
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Mahdi Rahimi,Ehsan Salehi,Masoud Mandooie,Nayyereh Khalili 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
For the first time, the ethyl acetate production plant wastewater was treated using a batch adsorption/ozonation integrated process. The wastewater contained alcoholic pollutants (majorly, ethanol) andthe discharge of this wastewater could result in serious risks to the environment. The operational variablesincluding reaction time (10 to 60 min), temperature (20 to 60 C), ozone flowrate (4 to 12 L/min)and granular activated carbon (GAC) dose (5 to 15 g) were optimized by applying response surfacemethodology, where the removal of chemical oxygen demand (COD) was aimed to be maximized asthe target variable. The optimal conditions were obtained at the reaction time of 60 min, temperatureof 60 C, GAC dose of 10 g and ozone flowrate of 8 L/min, which resulted in COD removal of 98.5 %. Characterization analyses revealed that ozonation could support in-situ regeneration of the GAC and providea synergistic effect on the COD removal enhancement. The separation kinetics of the integrated processwas also assessed and found to be superior than those of the standalone operations. Sobol sensitivityanalysis results uncovered that the reaction temperature by 85 % and the binary interaction of the reactiontime and temperature by near 7 % impact shares were the most effective parameters on the CODremoval. Isothermal studies showed that the adsorption of ethanol on GAC is physical, multilayer andheterogeneous. Consequently, the integrated adsorption/ozonation process has been approved as apotential method for the treatment of ethyl acetate plant wastewater.
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Mansori, Kamyar,Solaymani-Dodaran, Masoud,Mosavi-Jarrahi, Alireza,Motlagh, Ali Ganbary,Salehi, Masoud,Delavari, Alireza,Asadi-Lari, Mohsen The Korean Society for Preventive Medicine 2018 Journal of Preventive Medicine and Public Health Vol.51 No.1
Objectives: The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. Methods: This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The $Besag-York-Molli{\acute{e}}$ (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. Results: The Moran index was statistically significant for all the variables studied (p<0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. Conclusions: Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in at-risk areas.
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Asmarian, Naeimeh Sadat,Ruzitalab, Ahmad,Amir, Kavousi,Masoud, Salehi,Mahaki, Behzad Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.1
Background: Esophagus cancer, the third most common gastrointestinal cancer overall, demonstrates high incidence in parts of Iran. The counties of Iran vary in size, shape and population size. The aim of this study was to account for spatial support with Area-to-Area (ATA) Poisson Kriging to increase precision of parameter estimates and yield correct variance and create maps of disease rates. Materials and Methods: This study involved application/ecology methodology, illustrated using esophagus cancer data recorded by the Ministry of Health and Medical Education (in the Non-infectious Diseases Management Center) of Iran. The analysis focused on the 336 counties over the years 2003-2007. ATA was used for estimating the parameters of the map with SpaceStat and ArcGIS9.3 software for analysing the data and drawing maps. Results: Northern counties of Iran have high risk estimation. The ATA Poisson Kriging approach yielded variance increase in large sparsely populated counties. So, central counties had the most prediction variance. Conclusions: The ATAPoisson kriging approach is recommended for estimating parameters of disease mapping since this method accounts for spatial support and patterns in irregular spatial areas. The results demonstrate that the counties in provinces Ardebil, Mazandaran and Kordestan have higher risk than other counties.
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