Journal of Energy Resources Technology最新文献

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Numerical Simulation on Combustion Characteristics of Methane Air Premixed Flame Impacted by Hydrogen jet 受氢气喷射影响的甲烷空气预混合火焰燃烧特性的数值模拟
Journal of Energy Resources Technology Pub Date : 2024-07-15 DOI: 10.1115/1.4065953
Qian Wang, Yituan He, Zihan Qin, Zonghui Liu, Yanyan Fu
{"title":"Numerical Simulation on Combustion Characteristics of Methane Air Premixed Flame Impacted by Hydrogen jet","authors":"Qian Wang, Yituan He, Zihan Qin, Zonghui Liu, Yanyan Fu","doi":"10.1115/1.4065953","DOIUrl":"https://doi.org/10.1115/1.4065953","url":null,"abstract":"\u0000 Low-concentration coalbed methane is an efficient and clean unconventional natural gas with abundant reserves. It can greatly lessen the problem of energy scarcity when used to produce combustion power. Nevertheless, the engine finds it challenging to burn the CH4 directly due to its low and fluctuating concentration. This study suggests using a hydrogen jet to ignite low-concentration coalbed methane. The simulation method is used in this paper. To investigate the effects of various ignition injection strategies on the combustion characteristics of low concentration coalbed methane ignited by a hydrogen jet, a constant volume bomb model was developed. The results show that when the ignition and hydrogen injection interval is 2.0 ms, the cold jet of hydrogen does not burn immediately when it reaches the premixed flame, and there is a transition process from the premixed flame to the jet flame. The larger the interval between ignition and hydrogen injection, the more waste gas is produced after the premixed flame combustion, which has a certain inhibition effect on the formation of the jet flame. With the decrease in the interval between ignition and hydrogen injection, the combustion duration is obviously shortened. Therefore, the earlier hydrogen is involved in the ignition, the faster the combustion speed.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of oil pipeline process operating parameters based on mechanism and data mining 基于机理和数据挖掘的石油管道工艺运行参数预测
Journal of Energy Resources Technology Pub Date : 2024-07-15 DOI: 10.1115/1.4065951
Lixin Wei, Lan Wang, Qiang Zhou, Yuhang Gao
{"title":"Prediction of oil pipeline process operating parameters based on mechanism and data mining","authors":"Lixin Wei, Lan Wang, Qiang Zhou, Yuhang Gao","doi":"10.1115/1.4065951","DOIUrl":"https://doi.org/10.1115/1.4065951","url":null,"abstract":"\u0000 Precisely forecasting the operational characteristics of oil pipelines is essential for developing rational design, production, and operation strategies, as well as reducing energy consumption and saving energy. Due to significant disparities in the computation outcomes of conventional mechanism models and the inadequate performance of machine learning models when handling limited sample data, their conclusions likewise lack tangible significance. In this study, a novel physics-guided neural network (PGNN) model, which integrates mechanisms with machine learning models, is introduced. The proposed model incorporates essential physical intermediate factors that impact the temperature and pressure of oil pipelines as artificial neurons within the loss function. Additionally, an adaptive moment estimate approach is employed to optimize the parameters of the model. Through a comparative analysis of various models' predictive capabilities on an oil pipeline, it was shown that PGNN has the highest level of accuracy in forecasting pipeline temperature and pressure. Furthermore, PGNN demonstrates the ability to generate satisfactory prediction outcomes even with a limited sample size. Simultaneously, the predictive outcomes of PGNN exhibit a stronger correlation with variables that have a direct impact on temperature and pressure.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"30 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Method for Estimating Oil Well Production Rates Based on Enthalpy Balance Utilizing Temperature Data 基于焓平衡、利用温度数据估算油井生产率的新方法
Journal of Energy Resources Technology Pub Date : 2024-07-15 DOI: 10.1115/1.4065952
Amin Mirhaseli Igder, H. Mahdiyar, Gholamreza Vakili-Nezhaad
{"title":"A New Method for Estimating Oil Well Production Rates Based on Enthalpy Balance Utilizing Temperature Data","authors":"Amin Mirhaseli Igder, H. Mahdiyar, Gholamreza Vakili-Nezhaad","doi":"10.1115/1.4065952","DOIUrl":"https://doi.org/10.1115/1.4065952","url":null,"abstract":"\u0000 The fundamental objective of this study is to utilize a temperature dataset to achieve accurate rate estimation. This study introduces a graphical method, incorporating suitable assumptions, for predicting flow rates in single-phase vertical oil flow. The method takes into consideration the fouling factor and addresses the steady-state flow of heat in the wellbore, while also accounting for the transient heat conduction in the formation. To evaluate and validate the proposed model, two field cases are examined, and associated uncertainties are discussed. The model's predictions are compared with those obtained from Hassan and Kabir's approach, as well as actual separator flow rate data. The comparisons reveal that the model exhibits a high level of accuracy within its specified range of application. Statistical analyses indicate that most of the models perform comparably, although the suggested graphical model stands out for its higher accuracy and user-friendly nature. The performance of uncertainty is found to be more reliant on the accuracy of data measurement rather than the features of the model itself.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerically Optimized Ejector Geometry for Ejector Refrigeration Systems with low-GWP Working Fluids 用于低全球升温潜能值工作流体的喷射器制冷系统的数值优化喷射器几何形状
Journal of Energy Resources Technology Pub Date : 2024-06-13 DOI: 10.1115/1.4065729
Ronanki Suresh, Ranjith Prakash, Visakh Praveen, Santanu Prasad Datta
{"title":"Numerically Optimized Ejector Geometry for Ejector Refrigeration Systems with low-GWP Working Fluids","authors":"Ronanki Suresh, Ranjith Prakash, Visakh Praveen, Santanu Prasad Datta","doi":"10.1115/1.4065729","DOIUrl":"https://doi.org/10.1115/1.4065729","url":null,"abstract":"\u0000 Recently, an ejector refrigeration system (ERS) is a promising cooling strategy with waste heat utilization and minimization of power consumption by evading the compressor. However, analyzing the intricate flow structure inside the ejector and corresponding COP enhancement are major challenges of an ERS. The type of working fluid, design specifications, and working conditions significantly affect the ejector behavior. The environmental issues caused by leakage of the most popular high GWP refrigerant R134a divulge the need for low GWP alternatives. Moreover, the effect of critical design specifications such as area ratio (AR) and nozzle exit position (NXP) for these alternatives are not explored yet. Therefore, five low-GWP alternates for R134a, namely: R1234yf, R1243zf, R152a, R513a, and R440a, are tested numerically under wide-ranging operating conditions. In addition, the ejector performance for all refrigerants is examined for seven distinct ARs and five different NXPs. The effect of the refrigerant variant and NXP on the internal flow structures of the ejector is also analyzed. Besides, the study is extended to find the optimal NXP at various operating temperatures using R1234yf refrigerant. In most cases, the higher entrainment ratio (ER) is obtained with R1234yf and R1243zf, and the increase in AR has a positive effect on ER. The impact of NXP is higher at condenser temperature with minimal waste heat in the generator. Irrespective of the operating conditions for R1234yf, the optimum NXP is obtained as 10 mm, which is 1.67 times the constant-area mixing chamber diameter.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"89 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Catalyzing Refuse-Derived Fuel Understanding: Quantified Insights from Thermogravimetric Analysis 催化垃圾衍生燃料的理解:热重分析的量化见解
Journal of Energy Resources Technology Pub Date : 2024-06-05 DOI: 10.1115/1.4065686
Sherif S. Rashwan, Micaël Boulet, Stéphane Moreau
{"title":"Catalyzing Refuse-Derived Fuel Understanding: Quantified Insights from Thermogravimetric Analysis","authors":"Sherif S. Rashwan, Micaël Boulet, Stéphane Moreau","doi":"10.1115/1.4065686","DOIUrl":"https://doi.org/10.1115/1.4065686","url":null,"abstract":"\u0000 This study employs Thermogravimetric analysis (TGA) to investigate the thermal degradation behavior of various components of Refuse-Derived Fuel (RDF). The analysis is conducted individually for different RDF fractions, including cardboard, mixed papers, mixed plastics, other organics, and fines, alongside raw RDF. TGA experiments are performed in triplicate to ensure repeatability and homogeneity assessment. The results reveal distinct degradation profiles for each material, influenced by moisture content. Cardboard and mixed papers exhibit similar decomposition characteristics attributed to their cellulose content. Cardboard undergoes initial moisture-driven mass loss (5.52%), followed by cellulose and hemicellulose decomposition (58.86%) at 250-400 °C and lignin degradation (10.1%) at 400-500 °C. In contrast, mixed plastics, with an initial moisture content of 0.81%, manifest multiple decomposition steps: PVC degradation (3.84%) at 200-335 °C, polystyrene (PS) degradation (6.63%) at 335-400 °C, polypropylene (PP) degradation (24.41%) at 400-450 °C, and HDPE/LDPE degradation (54.6%) at 400-500 °C. Other organics, with 1.47% initial moisture content, undergo cellulose decomposition (37.98%) at 200-381 °C and polyester/microfilament degradation (21.3%) at 381-450 °C. Fines display cellulose and hemicellulose decomposition (29.8%) at 200-383 °C and plastics/polyester degradation (43%) at 383-550 °C. LDPE in mixed plastics undergoes pure polymer decomposition at 483.6 °C.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"86 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141385299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning 使用流水线和深度学习选择的初始模型对渠道水库进行快速可靠的历史匹配
Journal of Energy Resources Technology Pub Date : 2024-06-04 DOI: 10.1115/1.4065652
Doeon Kim, Michael King, Honggeun Jo, Jonggeun Choe
{"title":"Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning","authors":"Doeon Kim, Michael King, Honggeun Jo, Jonggeun Choe","doi":"10.1115/1.4065652","DOIUrl":"https://doi.org/10.1115/1.4065652","url":null,"abstract":"\u0000 Ensemble-based methods involve using multiple models for model calibration correct initial models based on observed data. The assimilated ensemble models allow probabilistic analysis of future production behaviors. It is crucial to use good initial models to obtain reliable history matching and prediction of both oil and water productions especially for channel reservoirs having high uncertainty and heterogeneity. In this study, we propose a fast and reliable history matching method by selecting good initial models using streamline and deep learning. The proposed method is applied to two cases of 3D channel reservoir generated by SGeMS and GAN. The proposed method offers predictions with accuracy improvement more than 20% for oil and 10% for water productions compared with two other model selection methods. It also reduces the overall simulation time by 75% compared to the method of using all initial models.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resistive Heating Catalytic Micro-Reactor for Process Intensified Fuel Reforming to Hydrogen 用于强化燃料转化为氢气的电阻加热催化微型反应器
Journal of Energy Resources Technology Pub Date : 2024-06-04 DOI: 10.1115/1.4065653
K. R. Burra, Murat Sahin, Ashwani K. Gupta
{"title":"Resistive Heating Catalytic Micro-Reactor for Process Intensified Fuel Reforming to Hydrogen","authors":"K. R. Burra, Murat Sahin, Ashwani K. Gupta","doi":"10.1115/1.4065653","DOIUrl":"https://doi.org/10.1115/1.4065653","url":null,"abstract":"\u0000 Process intensification of fuel reforming using micro-reactors has become crucial for feed flexibility in H2 production for fuel cells. In the literature on microreactors, energy supply for these endothermic reactions has faced limitations, relying on external heating, or autothermal operation. This paper explores a novel approach using a thin-film catalytic heater to develop micro-reactors. The study focuses on dry methane reforming in a simplified micro-reactor where thermal energy is supplied through electric resistive heating of a thin carbon sheet with a catalyst applied to its surface. The thin catalytic heated layer inside the reactor minimizes energy losses and the reactor footprint. Power input was varied from 90-225 W to understand its impact on the reactor temperature, CH4 conversion, H2 and CO yields. Fast thermal response times were achieved using the carbon paper as thin film for heating. Ni/MgO impregnated onto carbon paper was utilized as the catalytic heating element which resulted in CH4 conversions greater than 60% at temperature above750 K. Influence of operating conditions such as the input molar ratio of CO2/CH4, and gas hourly space velocity (GHSV) were also investigated to understand the scope of the catalyst in this setup. High GHSVs (592,885 and 948,617 mL/(hr.gcatalyst)) were tested to understand the throughput achievable using this setup. This approach demonstrates improved scope and feasibility for further intensification compared to conventionally heated microreactors. The research paves the way for efficient and compact micro-reactors for fuel reforming processes.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141266563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Shale oil shut-in and flowback mechanism and optimization strategy 页岩油关闭和回流机制及优化策略
Journal of Energy Resources Technology Pub Date : 2024-06-04 DOI: 10.1115/1.4065651
Zhiwei Lu, Xiang Li, Mingguang Che, Xizhe Li
{"title":"Shale oil shut-in and flowback mechanism and optimization strategy","authors":"Zhiwei Lu, Xiang Li, Mingguang Che, Xizhe Li","doi":"10.1115/1.4065651","DOIUrl":"https://doi.org/10.1115/1.4065651","url":null,"abstract":"\u0000 Shut-in and flowback are critical stages following hydraulic fracturing in shale oil wells. Researching the distribution of reservoir pressure and fluid flow mechanism during shut-in and flowback is important for optimizing these procedures, thereby enhancing well productivity. Therefore, based on the flow mechanism of shale oil, this paper establishes a flow equation considering imbibition and seepage, using linear source superposition equivalent to the pressure distribution generated by hydraulic fracturing as the initial condition. The PEBI (Perpendicular BIsection) grid is used to divide the grid for multi-stage fractured horizontal wells. The simulation results reveal that large-volume fracturing leads to the formation of a high-pressure zone around the wellbore, significantly surpassing the original reservoir pressure, termed as the high-energy band. This high-energy band is demarcated from the original reservoir pressure by the pressure boundary line (PBL). During production, a double-pressure funnel (DPF) manifests within the reservoir, generating a region with the utmost pressure at a specific position within the high-energy band, known as the pressure peak line. Oil located beyond the pressure peak line is unable to flow towards the wellbore. According to the DPF theory of shale oil, fracturing technology should be adopted to form long straight fractures as far as possible whenever feasible to cross the high-energy band. The shale oil optimal duration for shut-in is contingent upon the movement rate of the pressure boundary and the shale imbibition curve.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimization of Triple Effect Vapour Absorption Refrigeration System: A Statistical Approach 三效蒸气吸收制冷系统的优化:统计方法
Journal of Energy Resources Technology Pub Date : 2024-06-04 DOI: 10.1115/1.4065654
Sakshi Naga, S.P.S. Rajput
{"title":"Optimization of Triple Effect Vapour Absorption Refrigeration System: A Statistical Approach","authors":"Sakshi Naga, S.P.S. Rajput","doi":"10.1115/1.4065654","DOIUrl":"https://doi.org/10.1115/1.4065654","url":null,"abstract":"\u0000 The present manuscript optimized the First and Second Law performance of the triple effect vapour absorption refrigeration systems (TE-VARS) using statistical techniques like Taguchi, Taguchi-based GRA, and RSM-based GRA methods, which provide the most accurate and optimized results. Liquified pertrolium gas (LPG) and Compressed natural gas (CNG) are considered as the source of energy to operate TE-VARS, as the system requires significantly higher generator temperature. Also, volume flow rate of these gases along with the annual operating cost to drive the system have been presented. A thermodynamic model was first formulated using EES software for the computation of the coefficient of performance (COP) and exergetic efficiency (ECOP). The most influential parameters like temperature in the main generator, concentration and pressure at different components are studied and determined using ANOVA and Taguchi methods. The optimum parameters were determined based on the mean effect plot of S/N ratios for COP and ECOP. It has been found that the maximum COP and ECOP were calculated to be 1.915 and 0.15, respectively under the Taguchi method. Furthermore, Taguchi-GRA was used for the simultaneous optimization of the operating parameters and performance of the system. It is observed that the absorber temperature is the most influential parameter for affecting COP and ECOP. Moreover, a RSM-based GRA method was also applied and developed regression models that yield most optimum COP and ECOP as 1.963 and 0.1606, respectively. Comparison shows that the RSM-based GRA method provide the most optimum conditions, which is one of the key finding of the present study. Also, rate of exergy destruction at each component of TE-VARS has been plotted under optimized operating conditions. The optimum volume flow rate for LPG and CNG comes out to be 0.057 and 0.177 m3/s, while the minimum operating cost (yearly) are 299.827$ and 183.293$, respectively.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141266772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Finite-rate chemistry Favre-Averaged Navier-Stokes based simulation of a non-premixed SynGas/Air flame 基于有限速率化学法弗尔平均纳维-斯托克斯法的非预混合合成气/空气火焰模拟
Journal of Energy Resources Technology Pub Date : 2024-05-24 DOI: 10.1115/1.4065596
Sante Junior Bissai Nkaa, Charles Chelem Mayigué, Valentin Bomba, Véronique Mboumeu, Henri Paul Ekobena Fouda
{"title":"Finite-rate chemistry Favre-Averaged Navier-Stokes based simulation of a non-premixed SynGas/Air flame","authors":"Sante Junior Bissai Nkaa, Charles Chelem Mayigué, Valentin Bomba, Véronique Mboumeu, Henri Paul Ekobena Fouda","doi":"10.1115/1.4065596","DOIUrl":"https://doi.org/10.1115/1.4065596","url":null,"abstract":"\u0000 The present paper is devoted to the study of the influence of chemical mechanisms, turbulence models and gas radiative properties models on the characteristics of a turbulent diffusion CO/H2/N2 -air flame, i.e., the so-called syngas flame in a Favre-averaged Navier-Stokes (FANS) environment. For this purpose, a transient FANS solver for combustion is used. The simulations are carried out using three distinct turbulence models, i.e., the standard k-ε (SKE), the renormalization group (RNG) k-ε, and the Shear Stress Transport (SST) models. The turbulence-chemistry interaction is modeled using the Partially Stired Reaction (PaSR) model. The chemical mechanisms used in the present study are: (i) a compact skeletal C2 mechanism, (ii) a mechanism developped by Frassoldati-Faravelli-Ranzi (FFR) containing 14 species and 33 reactions and (iii) the optimised syngas mechanism by Varga. Radiation heat transfer is handled by the P-1 method. In addition, the performances of two gas radiative properties models, i.e., the grey mean gas and the weighted-sum-of-gray-gases (WSGG) models, are assessed in radiative heat transfer modeling of the syngas flame. The predicted results reveal that the combination of the RNG turbulence model and the C2 skeletal mechanism shows the best agreement with measurements. The WSGG model used predicts results with the same level accuracy as the grey gas model in modeling of the syngas flame.","PeriodicalId":509700,"journal":{"name":"Journal of Energy Resources Technology","volume":"62 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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