cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2018.137
title: The combined material flow analysis and life cycle assessment for integrated end-of-life of mercury contaminated petroleum waste management

description: Now a day, the waste management generated by offshore petroleum operation (including drilling and production) located in the Gulf of Thailand seem to be a great challenge. Because of their unique characteristic in terms of hazardous properties, petroleum waste requires particular treatments to reduce potential impacts to the environment and human life. This study, the petroleum waste by their disposal code, and waste code was sorted. The Hg-contaminated petroleum waste flow starting from waste generation towards to final disposal was conducted by Material Flow Analysis (STAN, 2.6.601) and Life Cycle Assessment (SimaPro 8.3.0.0) was conducted as tools for evaluating the environmental impacts. The treatment of Hg-contaminated waste was studied by SimaPro LCA software (SimaPro 8.3.0.0) using ReCiPe mid-point (H) method. The human toxicity (kg 1,4-DB eq) and climate change (kg CO₂ eq) impacts were selected because of human toxic damage and global warming concerns. The functional unit was one kg of Hg-contaminated waste. The treatment option was divided into four methods including storage, fuel blending, recovery unlisted material, and landfill. The combined result showed that Hg-contaminated waste disposed of Hg recovery indicated the benefit contributed to human toxicity (-1,344,704 t 1,4-DB eq) but high negative impact on climate change (34,785 t CO₂ eq). The landfill option indicated the high human toxicity impact (5.647 t 1,4-DB eq).
DOI: 10.13145/bacdive142420.20191129.4.1
title: Cupriavidus pauculus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142421.20191129.4.1
title: Cupriavidus pauculus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.138
title: Development of group-contribution models for use in surfactant selection – case studies of single and mixed surfactant applications

description: Microemulsion is the surfactant/oil/water system that is applied to many applications such as enhanced oil recovery, cleaning agents, environmental remediation and drug delivery system. To select the suitable surfactant to form an efficient microemulsion system for each specific condition and application, a systematic selection method is needed to reduce time and valuable resources that may be required in the design of an interest product. This work developed a systematic method to select suitable surfactants for a specific application based on several properties including but not limited to types of emulsion, emulsion stability, solubility and toxicology. Since not all models are available in the literature, this work developed properties models based on the molecular structure of the surfactants by using the concept of Group-Contribution (GC) based on Marrero and Gani method. One important key of surfactant properties for Hydrophilic-Lipophilic property through an Hydrophilic-Lipophilic Deviation (HLD) equation is the characterictic curvature (Cc) that indicates the hydrophobicity or hydrophilicity of a surfactant based on their molecular structure. This work developed the GC-model for prediction of characteristic curvature of anionic and nonionic surfactants to use in the HLD equation to aid in the design of surfactant formulation. Krafft point—another key property to indicate the solubility of anionic surfactant, was also modeled based on the GC concept. The application of this work was performed through case studies in the fields of enhanced oil recovery, soil remediation and detergency.
DOI: 10.13145/bacdive142422.20191129.4.1
title: Cupriavidus pauculus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.139
title: Green-house gas storage through enhanced hydrate formation

description: The CO₂ hydrate formation in the presence of different tetrahydrofuran (THF), sodium dodecyl sulfate (SDS), and methyl ester sulfonate (MES) concentrations was investigated in terms of kinetics and thermodynamics. The formation experiment was conducted in the quiescent condition and close system at 3 MPa and 3 °C. The results showed that the CO₂ hydrates formed in the presence of 10 mol% THF, while it did not form with 5.56 mol% THF. The presence of SDS or MES did not promote the hydrate formation. However, the hydrates formed in the presence of a mixture of SDS or MES with 5.56 mol% THF. The result showed that CO₂ uptake with THF combined with SDS or MES was twice higher than that with 10 mol% THF, whereas THF combined with MES resulted in lower induction time than THF combined with SDS. Conversely, using a mixture of MES or SDS at the critical micelle concentration (CMC) and 5.56 mol% THF did not promote the hydrates formation. Surprisingly, the hydrates can form with the presence of MES or SDS at CMC and 4.5 mol% THF at the same experimental condition.
DOI: 10.13145/bacdive142423.20191129.4.1
title: Cupriavidus pauculus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142424.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.140
title: Production of biojet fuel from palm fatty acid distillate over Ni/HZSM-12 catalyst

description: Generally, jet fuels are mainly derived from the refining of petroleum feedstock which exhaust greenhouse gases. Therefore, biojet fuel is introduced as an alternative way to solve the problem. Moreover, jet fuel must have a freezing point about -47 °C or below so iso-paraffins which have low freezing point are required. In this study, the hydroprocessing of palm fatty acid distillate (PFAD) over synthesized Ni/HZSM-12 and conventional Ni/HY catalysts which have different morphology and pore size for producing biojet fuel (hydrocarbon in a range of C9-C14) was studied in a continuous flow fixed-bed reactor under conditions of 350-400 °C, 10-30 bar, LHSV of 1.5-2.5 h-1, and H2/feed molar ratio of 10. The main reactions are hydrodeoxygenation in order to remove oxygens in the fatty acid molecules then followed by hydroisomerization and hydrocracking reaction. The fresh catalysts were characterized by XRD, XRF, TEM, BET, TPR and TPD. For Ni/HZSM-12 catalyst, the optimal reaction condition was found at 375 °C, 30 bar, LHSV of 1.5 h-1 and H2/feed molar ratio of 10 over 10 wt.% Ni/HZSM-12 catalyst. The results show that Ni/HZSM-12 catalyst exhibited higher biojet yield as compared to Ni/HY catalyst (53 and 21%, respectively) and provided higher selectivity to produce iso-paraffin products at optimal condition because HZSM-12 had had narrower pore size so it predominately produced the lighter cracked products and provided iso-products. Moreover, Ni/HZSM-12 had low coke formation which is characterized by TPO, corresponding to the high stability of HZSM-12 catalyst.
DOI: 10.13145/bacdive142425.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.141
title: Designing binary low IFT surfactant system using HLD concept for oil recovery

description: Surfactant-based microemulsion technology is widely used in tertiary enhanced oil recovery applications (EOR). The formulation of suitable surfactant system is a key success in production and economic feasibility of this technology. The middle phase or Winsor Type III microemulsions, employed for selecting appropriate surfactant system, can offer an optimal salinity at which the high oil solubilization capacity and minimum interfacial tension (IFT) or ultralow IFT (&lt;0.01 mN/m) are obtained. By this technology, more remaining oil in the reservoir can be solubilized and mobilized which leads to an improvement of oil recovery. This study aims to formulate surfactant systems for the oil recovery through microemulsion formulation. The novel mixed anionic surfactant system of a sodium dioctyl sulfosuccinate (AOT) and an internal olefin sulfonates (IOS) with different alkyl chain lengths (C15-18, C19-23, C24-28) were used due to its mixture avoiding the surfactant precipitation. The result found that the binary mixture of AOT and (IOS C15-18 and IOS C19-23) can form the middle phase at the mixing ratios of 5:5 to 9:1 (by molar ratio) with heptane and decane. When the fraction of IOS increased in the mixed AOT/IOS system, the optimal salinity (S*) also increased. For the effects of a carbon tail length of IOS surfactant was observed that the tail length increased with decreasing the optimal salinity. The hydrophilic–lipophilic deviation (HLD) for the mixed surfactant system was investigated to individually determine the K and Cc values for the IOS surfactants. The finding from this work provided a guide for surfactant selection through HLD concept to formulate microemulsion-based surfactant flooding for EOR application.
DOI: 10.13145/bacdive142426.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142427.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.142
title: Optimization algorithm study : mixed integer linear programming

description: In the present, many petrochemical and petroleum products (engine fuel, solvent, plastic and synthetic rubber. etc.) are important. They are transported by ship, pipe line or train every day. So, minimizing transportation cost and time or maximizing profit is an important key of every company. In this optimization process, the optimal supply chain must be well developed in mathematical programming with the objective function of minimum cost or maximum profit and be solved by using optimization solvers. Objective functions and their constraints are solved by suitable types of optimization solvers: Linear programming (LP) and mixed integer linear programming (MILP). MILP is one of the most widely used optimization technique for designing supply chain, and developed by using linear programming and branch-and-bound technique. In this research, MILP algorithm is studied and developed on FORTRAN 4.0 to study MILP procedure, and then it is applied with case study of biofuel production supply chain. Finally, the results are validated with solver in Microsoft Excel. The result shows that the MILP algorithm can show many solutions with one optimum point for multiple optimum problems for benefit of alternative solutions, while only one solution is obtained from solver in Microsoft Excel. Moreover, the optimal SCNPV from the algorithm is close to one from Microsoft Excel. It shows that the MILP algorithm is high efficient for accuracy solution and benefit for alternative of suitable solutions in optimizing supply chain problems.
DOI: 10.13145/bacdive142428.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142429.20191129.4.1
title: Ochrobactrum anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.143
title: Thermomechanical behavior and chemical sensing cationic poly(diallyldimethylammonium chloride) and anionic poly(sodium 4-styrene sulfonate) assembled into composite polyelectrolyte multilayer thin films and complex membranes

description: Polyelectrolyte composite membranes of cationic PDADMAC and anionic PSS assembled into polyelectrolyte multilayer (PEM) thin film and polyelectrolyte complex (PEC) membranes were used as matrix embedded with several additive molecules. Nano-scale PEM films fabricated using the layer-by-layer deposition method and the loading and release of a hydrophobic model drug curcumin (Cur) was studied for drug delivery and sensing applications. Interestingly, it was found that the loading and release of Cur could be triggered by solvent composition and temperature. In a parallel study, the alternative to the nanoscale PEM was studied in the form of PEC, which were used as stand-alone film with a thickness in micro-scale. PECs prepared by solution-mixing using NaCl as a plasticizer followed by centrifugation and compression molding were investigated. Remarkably, not only the tuning of [NaCl] used during mixing could affect the thermomechanical behavior of salt-free films but also the changes in polyelectrolytes stoichiometry. Cur blended into non-stoichiometric PEC membranes were tested as optical NH3 vapor sensor and it was found that the excess positive stoichiometry gave the best results. To further improve the mechanical properties of both the free-standing PEM and PEC films, cellulose nanocrystals (CNCs) were used as fillers to reinforce the polymer matrix.
DOI: 10.13145/bacdive142430.20191129.4.1
title: Finegoldia magna

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.144
title: Furfurylamine-based polybenzoxazine adsorbent for CO2 capture: effect of carbonization temperature and activation methods

description: Carbon sorbents are of interest for post-combustion CO₂ capture. Polymers are one of the potential precursors to develop carbon adsorbent with suitable surface functionalities. In this research, furfurylamine-based polybezoxazine was used to produce the carbon adsorbent because of its superior properties such as high char yield, high thermal stability, and low water adsorption. To obtain the carbon adsorbent, benzoxazine monomer was prepared by using furfurylamine, paraformaldehyde, and phenol. Polymerization by a sol-gel technique using xylene as a solvent was employed. The obtained polymer was carbonized at various temperatures: 600, 700, and 800 °C. Physical and chemical activation were then conducted at 900 °C by using CO₂ and KOH as an activating agent, respectively. The CO₂ adsorption performance was conducted using a volumetric method at 40, 70, and 110 °C. The results show that both surface morphology and functionalities play a key role in CO₂ adsorption performance. Chemical activation gave the carbon adsorbent with higher surface area and pore volume than the physical activated adsorbents. The conversion of pyridinic functionalities to pyrrolic and pyridonic functionalities was revealed in the XPS analysis in both adsorbents activated by chemical and physical methods. The adsorbent carbonized at 800 °C and activated and chemical activated gave the highest CO₂ adsorption capacity at all adsorption temperatures as a result of its high surface area (1,273 m²/g), high pore volume (0.537 cm³/g micropore volume and 0.7891 cm³/g total pore volume) and suitable surface functionalities.
DOI: 10.13145/bacdive142431.20191129.4.1
title: Clostridium sporogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142432.20191129.4.1
title: Staphylococcus aureus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.145
title: Identification of crude oils and fuel oils after weathering using biomarkers, pyrogenic index and asphaltenes contents

description: Oil spills have become a global problem. This is one of the serious problems in marine environment. The spills are generally from reservoir zipping, accident or unauthorized drainage. Typically, the spilled oils are fuel oils or crude oils which are difficult to differentiate. After oil spill incident, oils are undergone weathering processes such as evaporation, dissolution, and biodegradation etc., which are main factor of depleting hydrocarbon. This work focuses on the distribution of hydrocarbon and diagnostic ratio of polycyclic aromatic hydrocarbons such as pristane, phytane, phenanthrene, pyrene, chrysene and biomarker in hopane group after weathering processes. Moreover, measuring of Al, Si and asphaltenes contents also study in this research. Five crude oils and four fuel oils were weathered in the sea water for 60 days. All samples were characterized by GC-FID and GCxGC-TOFMS followed NORDTEST methodology. Moreover, all samples were measured for asphaltenes contents and Al, Si contents in order to differentiate the types of oil. The result from weathering simulation showed that weathering had significantly affected the distribution of n-alkanes and generally used diagnostic ratio (pristane/phytane) including Al and Si contents changed seriously. However, pyrogenic index and asphaltenes contents can be used as indicators to differentiate fuel oils and crude oils since both of them are strong anti-weathering.
DOI: 10.13145/bacdive142433.20191129.4.1
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.146
title: Heat exchanger network retrofit under fouling effect

description: The energy conservation by heat exchanger network (HEN) is important in process design according to an increase of energy costs and global environmental concerns. To minimize the energy consumption with positive net present value (NPV), the retrofitted HEN plays an important role in process energy systems. The HEN retrofit model is based on stage-wise superstructure by Yee and Grossmann (1990). In addition, fouling deposition on the surface area of heat exchangers causes extra energy consumption, production loss and maintenance costs. The new proposed model is retrofitting HEN with fouling effects. This method achieves HEN with the optimal trade-offs between energy savings, and investment over operating period. For cleaning schedule, retrofitted HEN shows better capability to recover heat and NPV higher than base-case considered from a lower number of cleaning requirement. In this study, the proposed model is combined between cleaning schedule strategy and HEN retrofitting with fouling effect to achieve profitable HEN.
DOI: 10.13145/bacdive142434.20191129.4.1
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.147
title: Novel microemulsion formation by the hydrophilic- lipophilic deviation concept using carboxylate extended surfactants for Eor application

description: The Winsor type III (middle phase) microemulsion formation is widely used for enhanced oil recovery (EOR) application. A novel carboxylate surfactant has been an attractive surfactant for the oil recovery due to high chemical stability in harsh reservoir conditions (i.e., high brine concentration and high temperature). This study aims to formulate the middle phase microemulsion in order to obtain the minimum IFT and high solubilization capacity with binary anionic surfactant system using sodium dioctyl sulfosuccinate (AOT) and carboxylate extended surfactants with varying the polyethylene oxide number (EO = 2, 4 and 6) at three mixing molar ratios of 5:5, 7:3 and 9:1 in heptane, octane, decane, dodecane and hexadecane. The results showed that the decrease in the carboxylate extended surfactant fraction in the mixture significantly decreased the optimal salinity (S*). The S* increased with the increasing number of EO groups. The Hydrophilic-Lipophilic Deviation (HLD) equation was used to estimate the optimal condition, where the determined K and Cc values of the carboxylate extended surfactant were conducted and compared. In addition, the batch adsorption of the carboxylate extended surfactant onto quartz sand surface showed less adsorption capacity compared with other surfactants. The increasing of EO groups decreased the surfactant adsorption. Therefore, the carbox-ylate based extended surfactants could be an appropriate system for preventing the surfactant losses by the adsorption and economic viability of surfactant flooding in EOR application.
DOI: 10.13145/bacdive142435.20191129.4.1
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142436.20191129.4.1
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2018.148
title: Chance Constrained Optimization for Petrochemical Supply Chain with the Validation Technique

description: Nowadays, the profit is more concern in industry due to high business competition. Therefore, reducing the cost is needed to survive competition. Stochastic optimization had been interesting method to reduce opportunity and over-demand loss in the supply chain under uncertainties. Chance constrained optimization is one of the approaches to stochastic optimization. The uncertainties are included in chance constraint of event under level of confidence. This method is used to design the realistic supply chain giving more stabilities than deterministic optimization. The two case studies have been used to show the effectiveness of chance constrained optimization: the simple supply chain network and the biodiesel supply chain network. The objective of the optimization is to maximize the profit under the different levels of confidence. After obtaining the optimized supply chain, the networks from chance constrained optimization and deterministic optimization have been investigated and compared on the validation and violation of constraints. The results show that the chance constrained optimization can provide higher profit than the deterministic optimization under appropriate level of confidence. The violation of constraints results show that the stability of the network has been improved at higher levels of confidence. Finally, the sensitivity analysis shows that the opportunity loss played the major effect in the system.
DOI: 10.13145/bacdive142437.20191129.4.1
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.