Juan Zhang, L. Sun, Yu Zhong, Yanming Ding, Wenzhou Du, Kaihua Lu, Jia Jia
In this paper, a new kinetic model for thermal degradation of Tangkou bituminous coal was presented. The pyrolysis process was described by the deconvolution method and global optimization algorithm . The sample was investigated in a thermogravimetric analyzer at the heating rates of 10, 20, 40 and 60 K/min in nitrogen. The reaction curves of each stage and the contribution of each stage to the total reaction were estimated by the deconvolution method with bi-Gaussian function. The total mass loss was explained as the sum of three stages: main pyrolysis, secondary depolymerization and secondary repolymerization. Then, Friedman and Coats-Redfern methods were used to evaluate the kinetic parameters based on the separated thermogravimetric data at 10, 40 and 60 K/min. These possible regions and obtained parameters provided a guide for the search range and initial value of Shuffled Complex Evolution (SCE) algorithm for the optimal scheme. The optimized results showed that the experimental curve was in good agreement with the simulation curve, which indicated the reliability of the new scheme. Eventually, the pyrolysis process at 20 K/min was speculated. The good fitting showed the great potential of the proposed three-stage scheme in describing and forecasting the pyrolysis behavior of Tangkou coal.
{"title":"Kinetic Model and Parameters Optimization for Tangkou Bituminous Coal by the Bi-Gaussian Function and Shuffled Complex Evolution","authors":"Juan Zhang, L. Sun, Yu Zhong, Yanming Ding, Wenzhou Du, Kaihua Lu, Jia Jia","doi":"10.2139/ssrn.3892178","DOIUrl":"https://doi.org/10.2139/ssrn.3892178","url":null,"abstract":"In this paper, a new kinetic model for thermal degradation of Tangkou bituminous coal was presented. The pyrolysis process was described by the deconvolution method and global optimization algorithm . The sample was investigated in a thermogravimetric analyzer at the heating rates of 10, 20, 40 and 60 K/min in nitrogen. The reaction curves of each stage and the contribution of each stage to the total reaction were estimated by the deconvolution method with bi-Gaussian function. The total mass loss was explained as the sum of three stages: main pyrolysis, secondary depolymerization and secondary repolymerization. Then, Friedman and Coats-Redfern methods were used to evaluate the kinetic parameters based on the separated thermogravimetric data at 10, 40 and 60 K/min. These possible regions and obtained parameters provided a guide for the search range and initial value of Shuffled Complex Evolution (SCE) algorithm for the optimal scheme. The optimized results showed that the experimental curve was in good agreement with the simulation curve, which indicated the reliability of the new scheme. Eventually, the pyrolysis process at 20 K/min was speculated. The good fitting showed the great potential of the proposed three-stage scheme in describing and forecasting the pyrolysis behavior of Tangkou coal.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667582","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}
A novel microchannel membrane-based absorber with inclined grooves is proposed and studied by a three-dimensional CFD model. Parametric analysis is carried out to analyze the effects of structural parameters on the absorption rate and pressure drop. Results indicate that the groove introduces a swirling effect in the solution channel, interrupting the boundary layer at the solution-membrane interface and increasing the solution residence time inside the microchannel. The absorption rate in the grooved channel is up to 1.55 times higher, while the pressure drop is 0.77 -0.96 times lower. To optimize the novel absorber geometries and maximize the integrated performance, the Pareto front is obtained by performing a multi-objective optimization, in which a machine learning method based on ANN and NSGA-II is developed. The optimal design parameters from the Pareto front are identified by two well-known decision-making methods, LINMAP and TOPSIS. Compared to the basic smooth channel, these methods generate 1.41 and 1.47 times improvement in volumetric cooling capacities, at a much lower solution pressure drop. Moreover, a high absorption rate equivalent to that of a 200 mm-thick smooth channel is achieved by LINMAP and TOPSIS, with pressure drops lower by 6.29 and 5.63 times, respectively.
{"title":"Multi-Objective Optimization of a Microchannel Membrane-Based Absorber with Inclined Grooves Based on CFD and Machine Learning","authors":"Zengguang Sui, Yunren Sui, Wei Wu","doi":"10.2139/ssrn.3892177","DOIUrl":"https://doi.org/10.2139/ssrn.3892177","url":null,"abstract":"A novel microchannel membrane-based absorber with inclined grooves is proposed and studied by a three-dimensional CFD model. Parametric analysis is carried out to analyze the effects of structural parameters on the absorption rate and pressure drop. Results indicate that the groove introduces a swirling effect in the solution channel, interrupting the boundary layer at the solution-membrane interface and increasing the solution residence time inside the microchannel. The absorption rate in the grooved channel is up to 1.55 times higher, while the pressure drop is 0.77 -0.96 times lower. To optimize the novel absorber geometries and maximize the integrated performance, the Pareto front is obtained by performing a multi-objective optimization, in which a machine learning method based on ANN and NSGA-II is developed. The optimal design parameters from the Pareto front are identified by two well-known decision-making methods, LINMAP and TOPSIS. Compared to the basic smooth channel, these methods generate 1.41 and 1.47 times improvement in volumetric cooling capacities, at a much lower solution pressure drop. Moreover, a high absorption rate equivalent to that of a 200 mm-thick smooth channel is achieved by LINMAP and TOPSIS, with pressure drops lower by 6.29 and 5.63 times, respectively.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121746877","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}
Yingkai Li, N. Nishu, Dominic Yellezuome, Meiyun Chai, Chong Li, Ronghou Liu
Abstract Catalytic pyrolysis has recently aroused great interest for the high potential in upgrading bio-oils as renewable energy. However, conventional catalysts often exert diffusion resistance to large intermediate oxygenates. In this study, Fe-modified hierarchical ZSM-5 prepared by alkali and Fe loading of 2, 4, 6, 8 wt% were characterized by the analysis of XRD, BET, TEM, and NH3-TPD. Catalytic pyrolysis of poplar sawdust via Fe-modified hierarchical ZSM-5 was conducted using Py-GC/MS and TG-FTIR. The results indicated that alkali treatment and Fe loading of the catalyst introduced a hierarchical and porous structure and improved its acidity, leading to high mono-aromatics and olefins selectivity. The hierarchical ZSM-5 with 4 wt% Fe loading exhibited superior performance with high selectivity towards mono-aromatics of 15.30%. TG-FTIR analysis shows the volatiles release characteristics and FTIR spectra were consistent with pyrolysis behavior. Kinetic analysis reveals Fe-modified hierarchical ZSM-5 lowers the apparent activation energy in catalytic pyrolysis of poplar sawdust.
{"title":"Catalytic Pyrolysis of Biomass Over Fe-Modified Hierarchical ZSM-5: Insights into Mono-Aromatics Selectivity and Pyrolysis Behavior Using PY-GC/MS and TG-FTIR","authors":"Yingkai Li, N. Nishu, Dominic Yellezuome, Meiyun Chai, Chong Li, Ronghou Liu","doi":"10.2139/ssrn.3872438","DOIUrl":"https://doi.org/10.2139/ssrn.3872438","url":null,"abstract":"Abstract Catalytic pyrolysis has recently aroused great interest for the high potential in upgrading bio-oils as renewable energy. However, conventional catalysts often exert diffusion resistance to large intermediate oxygenates. In this study, Fe-modified hierarchical ZSM-5 prepared by alkali and Fe loading of 2, 4, 6, 8 wt% were characterized by the analysis of XRD, BET, TEM, and NH3-TPD. Catalytic pyrolysis of poplar sawdust via Fe-modified hierarchical ZSM-5 was conducted using Py-GC/MS and TG-FTIR. The results indicated that alkali treatment and Fe loading of the catalyst introduced a hierarchical and porous structure and improved its acidity, leading to high mono-aromatics and olefins selectivity. The hierarchical ZSM-5 with 4 wt% Fe loading exhibited superior performance with high selectivity towards mono-aromatics of 15.30%. TG-FTIR analysis shows the volatiles release characteristics and FTIR spectra were consistent with pyrolysis behavior. Kinetic analysis reveals Fe-modified hierarchical ZSM-5 lowers the apparent activation energy in catalytic pyrolysis of poplar sawdust.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129959175","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}
Yi-Jie Zhang, Yingying Gao, Xiaoge Wang, Q. Ye, Ya Zhang, Yuehua Wu, Shu-Han Chen, B. Ruan, D. Shi, T. Jiang, Fangchang Tsai, N. Ma
Sodium-ion batteries (SIBs) are highly potential for next-generation electrochemical energy storage because of their abundant resources and low prices. Transition metal dichalcogenides (TMDCs) have an excellent capacity, high electrical conductivity, and diverse structures. However, its volume expansion and tendency to restack during charge/discharge cycles lead to inferior electrochemical properties, limiting its development in the battery field. Herein, we synthesized MoO2/NC rods covered with MoTe2 nanosheets on the surface (MoTe2@MoO2/NC) by a high-temperature solid-phase synthesis method based on Mo-MOF a sacrificial template for sodium-ion batteries. The MoO2 core enhances the electron transfer efficiency as a conductive backbone and prevents the volume expansion of MoTe2 nanosheets. Meanwhile, the MoTe2 nanosheets are tightly wrapped around the MoO2 core, significantly reducing the ion diffusion path. Furthermore, the C and N doped substrates with conductivity ensure the integrity of the structure and enhance the conductivity of the electrodes. Benefiting from these advantages, MoTe2@MoO2/NC delivered a high electrochemical performance with high capacity (~463.9 mAh g-1), superior fast-charge discharge ability (~294.7, and 258.3 mAh g-1 at 5, and 10 A g-1, respectively). Even at a high current density of 1 A g-1, the specific capacity was maintained at about 328.3 mAh g-1 after 100 cycles.
钠离子电池以其丰富的资源和低廉的价格在新一代电化学储能领域具有很大的应用潜力。过渡金属二硫族化合物(TMDCs)具有优良的容量、高导电性和多种结构。但由于其体积膨胀和在充放电循环过程中的再堆叠倾向，导致其电化学性能较差，限制了其在电池领域的发展。本文采用基于钠离子电池牺牲模板Mo-MOF的高温固相合成方法合成了表面覆盖MoTe2纳米片的MoO2/NC棒(MoTe2@MoO2/NC)。MoO2核心作为导电骨架提高了电子传递效率，防止了MoTe2纳米片的体积膨胀。同时，MoTe2纳米片紧密包裹在MoO2核心周围，大大减少了离子的扩散路径。此外，具有导电性的C和N掺杂衬底确保了结构的完整性并提高了电极的导电性。得益于这些优势，MoTe2@MoO2/NC提供了高电化学性能，具有高容量(~463.9 mAh g-1)，卓越的快速充电放电能力(分别在5和10 a g-1下~294.7和258.3 mAh g-1)。即使在1 a g-1的高电流密度下，经过100次循环后，比容量仍保持在约328.3 mAh g-1。
{"title":"MoTe2 on Metal-Organic Framework Derived MoO2/N-Doped Carbon Rods for Enhanced Sodium-Ion Storage Properties","authors":"Yi-Jie Zhang, Yingying Gao, Xiaoge Wang, Q. Ye, Ya Zhang, Yuehua Wu, Shu-Han Chen, B. Ruan, D. Shi, T. Jiang, Fangchang Tsai, N. Ma","doi":"10.2139/ssrn.3940125","DOIUrl":"https://doi.org/10.2139/ssrn.3940125","url":null,"abstract":"Sodium-ion batteries (SIBs) are highly potential for next-generation electrochemical energy storage because of their abundant resources and low prices. Transition metal dichalcogenides (TMDCs) have an excellent capacity, high electrical conductivity, and diverse structures. However, its volume expansion and tendency to restack during charge/discharge cycles lead to inferior electrochemical properties, limiting its development in the battery field. Herein, we synthesized MoO2/NC rods covered with MoTe2 nanosheets on the surface (MoTe2@MoO2/NC) by a high-temperature solid-phase synthesis method based on Mo-MOF a sacrificial template for sodium-ion batteries. The MoO2 core enhances the electron transfer efficiency as a conductive backbone and prevents the volume expansion of MoTe2 nanosheets. Meanwhile, the MoTe2 nanosheets are tightly wrapped around the MoO2 core, significantly reducing the ion diffusion path. Furthermore, the C and N doped substrates with conductivity ensure the integrity of the structure and enhance the conductivity of the electrodes. Benefiting from these advantages, MoTe2@MoO2/NC delivered a high electrochemical performance with high capacity (~463.9 mAh g-1), superior fast-charge discharge ability (~294.7, and 258.3 mAh g-1 at 5, and 10 A g-1, respectively). Even at a high current density of 1 A g-1, the specific capacity was maintained at about 328.3 mAh g-1 after 100 cycles.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"107 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522391","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}
The vast dissemination of renewable energy (RE) has been enhanced by government policy, with a commensurate increase in the trade of the components. Previous studies have analyzed the effect of policies and the knowledge stock of exporter countries on their export of RE components. However, potential bias from confounding, i.e., correlation of GDP and knowledge stock to both the policy and the export, has not yet been controlled. This study applies matching methods to analyze the effect of feed-in tariffs (FITs) and renewable portfolio standards (RPS) on the export of photovoltaic (PV) and wind energy components. The estimation results indicate the contrasting effect of policies on PV and wind energy components. FIT and RPS in exporter countries are negatively associated with PV export, while the policies in importer countries show a positive effect on their imports. Meanwhile, FIT in exporter countries is positively associated with their export of wind energy components. Manufacturers might prioritize supplying to the domestic market rather than exporting PV components. On the other hand, manufacturers of wind energy components might maintain their export competitiveness with support from FITs. A positive policy effect on the export of RE components might be conditional on how the additional profit is secured for domestic manufacturers.
{"title":"Heterogeneous Policy Effects on the Export of Photovoltaic and Wind Energy Components: Evidence from a Matching Estimator","authors":"Yasuhiro Ogura","doi":"10.2139/ssrn.3875190","DOIUrl":"https://doi.org/10.2139/ssrn.3875190","url":null,"abstract":"The vast dissemination of renewable energy (RE) has been enhanced by government policy, with a commensurate increase in the trade of the components. Previous studies have analyzed the effect of policies and the knowledge stock of exporter countries on their export of RE components. However, potential bias from confounding, i.e., correlation of GDP and knowledge stock to both the policy and the export, has not yet been controlled. \u0000 \u0000This study applies matching methods to analyze the effect of feed-in tariffs (FITs) and renewable portfolio standards (RPS) on the export of photovoltaic (PV) and wind energy components. The estimation results indicate the contrasting effect of policies on PV and wind energy components. FIT and RPS in exporter countries are negatively associated with PV export, while the policies in importer countries show a positive effect on their imports. Meanwhile, FIT in exporter countries is positively associated with their export of wind energy components. \u0000 \u0000Manufacturers might prioritize supplying to the domestic market rather than exporting PV components. On the other hand, manufacturers of wind energy components might maintain their export competitiveness with support from FITs. A positive policy effect on the export of RE components might be conditional on how the additional profit is secured for domestic manufacturers.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634690","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}
This study reports a MgAl–LDH rice husk biochar composite (MgAl–LDH@RHB) with a regular hydrotalcite structure synthesized by a simple hydrothermal method, which was then used to remove Cd(II) and Cu(II) from water. The influencing factors on the adsorption performance were determined through batch adsorption experiments, and the adsorption characteristics and cycling capacity were evaluated with eight models and adsorption-desorption experiments. The results showed that the adsorption of Cd(II) and Cu(II) by MgAl–LDH@RHB was conformed to the Langmuir-Freundlich model and PSO kinetics model, indicating single-layer chemical adsorption. Besides, the theoretical maximum adsorption capacities for Cd(II) and Cu(II) were 112.40 and 101.39 mg g –1 , respectively. The adsorption of Cd(II) and Cu(II) by MgAl–LDH@RHB was dominated by surface precipitation and ion exchange. Our findings reveal the mechanism for the heavy metal removal by MgAl–LDH@RHB and provide a theoretical reference for agricultural waste disposal and water pollution control.
本研究采用简单水热法合成了具有规则水滑石结构的MgAl - ldh稻壳生物炭复合材料(MgAl - LDH@RHB)，并将其用于脱除水中的Cd(II)和Cu(II)。通过批量吸附实验确定了影响吸附性能的因素，并通过8种吸附模型和吸附-解吸实验对吸附特性和循环容量进行了评价。结果表明:MgAl - LDH@RHB对Cd(II)和Cu(II)的吸附符合Langmuir-Freundlich模型和PSO动力学模型，为单层化学吸附;对Cd(II)和Cu(II)的理论最大吸附量分别为112.40 mg g -1和101.39 mg g -1。MgAl - LDH@RHB对Cd(II)和Cu(II)的吸附以表面沉淀和离子交换为主。研究结果揭示了MgAl - LDH@RHB去除重金属的机理，为农业废弃物处理和水污染控制提供理论参考。
{"title":"Removal of Heavy Metals from Wastewaters with Biochar Pyrolyzed from MgAl-LDH-Coated Rice Husk: Mechanism and Application","authors":"Anyu Li, Yue Zhang, Wenzhang Ge, Yutong Zhang, Lihu Liu, Guohong Qiu","doi":"10.2139/ssrn.3929867","DOIUrl":"https://doi.org/10.2139/ssrn.3929867","url":null,"abstract":"This study reports a MgAl–LDH rice husk biochar composite (MgAl–LDH@RHB) with a regular hydrotalcite structure synthesized by a simple hydrothermal method, which was then used to remove Cd(II) and Cu(II) from water. The influencing factors on the adsorption performance were determined through batch adsorption experiments, and the adsorption characteristics and cycling capacity were evaluated with eight models and adsorption-desorption experiments. The results showed that the adsorption of Cd(II) and Cu(II) by MgAl–LDH@RHB was conformed to the Langmuir-Freundlich model and PSO kinetics model, indicating single-layer chemical adsorption. Besides, the theoretical maximum adsorption capacities for Cd(II) and Cu(II) were 112.40 and 101.39 mg g –1 , respectively. The adsorption of Cd(II) and Cu(II) by MgAl–LDH@RHB was dominated by surface precipitation and ion exchange. Our findings reveal the mechanism for the heavy metal removal by MgAl–LDH@RHB and provide a theoretical reference for agricultural waste disposal and water pollution control.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116238400","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}
The purpose of this study is twofold. First, causal mechanisms underlying the effect of changing attitudes on behavioral change are investigated. Second, recommendations are presented to improve the understanding of how attitudes and behavioral patterns of energy consumption in the residential sector can change. To that end, a theoretical model is developed and tested with empirical data. Also systematically investigates the association strength of each input variable with each of the output variables using various classical statistical analysis tools to identify the most strongly related input variables. Thereafter, three learning approaches, namely, multiple linear regression, polynomial linear regression, and support vector regression, are applied to predict the changing attitude and pattern of behavior variables. Results show that the performance of SVR with kernel radial basis function and polynomial regression hat of other forecasting models. However, the significant nonlinearity between inputs and outputs should be further developed to improve forecast precision. The study shows that cognitive factors are the most decisive factor in behavioral patterns and that the behavioral approach is strongly affected. Moreover, motivations and cognitive factors were found to have the most substantial effect on changing patterns of behaviors.
{"title":"Support Vector Machine Regression Predicts Energy Consumption and Conservation Attitude in Households","authors":"B. Vojdani, M. Yegane, Julian Lang","doi":"10.2139/ssrn.3869532","DOIUrl":"https://doi.org/10.2139/ssrn.3869532","url":null,"abstract":"The purpose of this study is twofold. First, causal mechanisms underlying the effect of changing attitudes on behavioral change are investigated. Second, recommendations are presented to improve the understanding of how attitudes and behavioral patterns of energy consumption in the residential sector can change. To that end, a theoretical model is developed and tested with empirical data. Also systematically investigates the association strength of each input variable with each of the output variables using various classical statistical analysis tools to identify the most strongly related input variables. Thereafter, three learning approaches, namely, multiple linear regression, polynomial linear regression, and support vector regression, are applied to predict the changing attitude and pattern of behavior variables. Results show that the performance of SVR with kernel radial basis function and polynomial regression hat of other forecasting models. However, the significant nonlinearity between inputs and outputs should be further developed to improve forecast precision. The study shows that cognitive factors are the most decisive factor in behavioral patterns and that the behavioral approach is strongly affected. Moreover, motivations and cognitive factors were found to have the most substantial effect on changing patterns of behaviors.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116421095","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}
Particle Impact Drilling (PID) is a new technology to effectively improve the rate of penetration (ROP) for oil and gas drilling in hard and strongly abrasive formations. In this paper, numerical simulation method is used to analyze the motion characteristics and the modulation method of particle swarm in high-pressure tank for the particle injection system based on differential pressure ejection in PID. The numerical simulation results show that: when there is no modulation elements, the motion of particle swarm in the high-pressure tank follows an asymmetric funnel flow with pulsating state, which could be divided into vertical flow domain, fast flow domain, slow flow domain and stagnation domain. The unstable dynamic arching effect of the funnel flow, the viscous effect of the liquid bridge force and the collapsing effect of the particle swarm could probably lead to the blockage of the discharge port of the high-pressure tank. When the semiapex angles of the high-pressure tank decreases, the volume flow rate of particles increases and the stagnation domain becomes smaller, but it becomes easier to form arching and blockage. The modelling results indicate that the pulsation of the funnel flow is minimum when the semiapex angle is 45° without the mutilation element, which means the funnel flow of the particle swarm is relatively stable. By introducing a conical modulating element above the discharge port, the unstable funnel flow of the particle swarm could be transformed to an overall uniform flow. The modelling results indicate that the installation height of the modulation element has the greatest influence on the pulsation degree. The optimized parameters for the conical modulation element based on numerical modelling tests are 70° for the vertex angle, 35mm for the length of the flank and 70mm for the installation height.
{"title":"Motion Analysis and Modulation of Steel Particle Swarm in High-Pressure Tank for Particle Impact Drilling","authors":"Weidong Zhou, Luopeng Li, Zizhen Wang, Xianbo Lei, Weidong Zhang, Fangxiang Wang","doi":"10.2139/ssrn.3924301","DOIUrl":"https://doi.org/10.2139/ssrn.3924301","url":null,"abstract":"Particle Impact Drilling (PID) is a new technology to effectively improve the rate of penetration (ROP) for oil and gas drilling in hard and strongly abrasive formations. In this paper, numerical simulation method is used to analyze the motion characteristics and the modulation method of particle swarm in high-pressure tank for the particle injection system based on differential pressure ejection in PID. The numerical simulation results show that: when there is no modulation elements, the motion of particle swarm in the high-pressure tank follows an asymmetric funnel flow with pulsating state, which could be divided into vertical flow domain, fast flow domain, slow flow domain and stagnation domain. The unstable dynamic arching effect of the funnel flow, the viscous effect of the liquid bridge force and the collapsing effect of the particle swarm could probably lead to the blockage of the discharge port of the high-pressure tank. When the semiapex angles of the high-pressure tank decreases, the volume flow rate of particles increases and the stagnation domain becomes smaller, but it becomes easier to form arching and blockage. The modelling results indicate that the pulsation of the funnel flow is minimum when the semiapex angle is 45° without the mutilation element, which means the funnel flow of the particle swarm is relatively stable. By introducing a conical modulating element above the discharge port, the unstable funnel flow of the particle swarm could be transformed to an overall uniform flow. The modelling results indicate that the installation height of the modulation element has the greatest influence on the pulsation degree. The optimized parameters for the conical modulation element based on numerical modelling tests are 70° for the vertex angle, 35mm for the length of the flank and 70mm for the installation height.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115087529","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}
Rida Azmi, H. Amar, E. Diop, Cédric Stéphane Tekouabou Koumetio, Jérôme Chenal
Renewable solar energy is the most preferable clean energy source with no environmental impacts. The Marrakech Safi region (Morocco) context, with its arid and semi-arid climate, can ensure sustainable energy production oriented to green economy. The paper aims to perform a decision analysis using the Analysis Hierarchical Process (AHP) and Fuzzy AHP to identify the potential areas for solar farms. The adopted approaches used fifteen factors to produce two suitability maps. Fuzzy logic was used to minimize the subjectivity related to the factor notation. The factors’ weights were reevaluated using the sensitivity analysis (SA) to assess their influence by comparing the theoretical and the effective weights. SA was conducted to explain the difference between the models. Results show that the suitable areas to host the solar farms cover more than 35% (1,300 Ha) of the region, using AHP and F-AHP. Moreover, the similarity analysis performed demonstrated that the 32% unequal areas between AHP and F-AHP can be explained by the factors’ weights and the difference of the approaches used. The climatic potential and the geographic location of the study area offer a large suitable area for exploiting solar farms. Findings constitute decision-making support for stakeholders for solar farm investments
{"title":"Decision Analysis Related to Solar Farms Investments Based on AHP & Fuzzy AHP for Sustainable Energy Production","authors":"Rida Azmi, H. Amar, E. Diop, Cédric Stéphane Tekouabou Koumetio, Jérôme Chenal","doi":"10.2139/ssrn.3933576","DOIUrl":"https://doi.org/10.2139/ssrn.3933576","url":null,"abstract":"Renewable solar energy is the most preferable clean energy source with no environmental impacts. The Marrakech Safi region (Morocco) context, with its arid and semi-arid climate, can ensure sustainable energy production oriented to green economy. The paper aims to perform a decision analysis using the Analysis Hierarchical Process (AHP) and Fuzzy AHP to identify the potential areas for solar farms. The adopted approaches used fifteen factors to produce two suitability maps. Fuzzy logic was used to minimize the subjectivity related to the factor notation. The factors’ weights were reevaluated using the sensitivity analysis (SA) to assess their influence by comparing the theoretical and the effective weights. SA was conducted to explain the difference between the models. Results show that the suitable areas to host the solar farms cover more than 35% (1,300 Ha) of the region, using AHP and F-AHP. Moreover, the similarity analysis performed demonstrated that the 32% unequal areas between AHP and F-AHP can be explained by the factors’ weights and the difference of the approaches used. The climatic potential and the geographic location of the study area offer a large suitable area for exploiting solar farms. Findings constitute decision-making support for stakeholders for solar farm investments","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115319404","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}
Due to its spatial efficiency, phase-change materials (PCMs) are particularly welcomed in the application of the electric tools where extremely high current at 10~15 C-rate is needed. With the Samsung 18650 20R Nickel-Cobalt-Manganese batteries, this study explores the temperature distribution from battery core to surface at extreme working current (15 C) with thermal conductive or storage wrapping materials including HDPE, thermal conductive sheet, thermal conductive adhesive, and PCMs. The proposed temperature distribution prediction model is validated with experimental data. The results indicate that the best battery surface temperature decrease is 18.60 ℃ when 2mm PCMs are applied. The discharge capacity of batteries is thus prolonged by 80-100 % compared to the naked battery cell. On the other hand, the battery core temperature reduction is much lower, only by 6.40 ℃ (from 139.70 ℃ to 133.29 ℃). Accordingly, the internal temperature gradient rises from 35.92 ℃ to 48.12 ℃. This is due to the heat generation exceeded the heat exported from the core to the outside under the 15C working condition of the electric tool. The study further evaluates the effects of high temperature gradient and finds that the capacity fade 90-250 % times faster with 2mm PCMs wrapping.
{"title":"Investigation of the Battery Temperature Gradient and its Influence on Battery Aging from Different Thermal Management Methods Under the Application of Electric Tools","authors":"Ruifei Ma, Jin He, Yaoqiu Qian, Yelin Deng","doi":"10.2139/ssrn.3873131","DOIUrl":"https://doi.org/10.2139/ssrn.3873131","url":null,"abstract":"Due to its spatial efficiency, phase-change materials (PCMs) are particularly welcomed in the application of the electric tools where extremely high current at 10~15 C-rate is needed. With the Samsung 18650 20R Nickel-Cobalt-Manganese batteries, this study explores the temperature distribution from battery core to surface at extreme working current (15 C) with thermal conductive or storage wrapping materials including HDPE, thermal conductive sheet, thermal conductive adhesive, and PCMs. The proposed temperature distribution prediction model is validated with experimental data. The results indicate that the best battery surface temperature decrease is 18.60 ℃ when 2mm PCMs are applied. The discharge capacity of batteries is thus prolonged by 80-100 % compared to the naked battery cell. On the other hand, the battery core temperature reduction is much lower, only by 6.40 ℃ (from 139.70 ℃ to 133.29 ℃). Accordingly, the internal temperature gradient rises from 35.92 ℃ to 48.12 ℃. This is due to the heat generation exceeded the heat exported from the core to the outside under the 15C working condition of the electric tool. The study further evaluates the effects of high temperature gradient and finds that the capacity fade 90-250 % times faster with 2mm PCMs wrapping.","PeriodicalId":163818,"journal":{"name":"EnergyRN EM Feeds","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124953049","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}
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