Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624854
Mohamed H. Hassan, Heba Youssef, S. Kamel, F. Jurado
In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.
{"title":"A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer","authors":"Mohamed H. Hassan, Heba Youssef, S. Kamel, F. Jurado","doi":"10.1109/IREC52758.2021.9624854","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624854","url":null,"abstract":"In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131602347","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624885
M. Nachidi, F. Tadeo
This paper proposes a robust H∞ static output-feedback (SOF) controller design method for microgrid using Linear Parameter-Varying (LPV) approach. The proposed controller is designed to not only ensure a good frequency response with disturbance rejection, but also to provide the robustness in despite changes of the inertia of the grid. Two scenarios are studied in simulation to show the good steady-state and dynamic behaviours of the closed-loop system.
{"title":"Gain-scheduled frequency control in a microgrid","authors":"M. Nachidi, F. Tadeo","doi":"10.1109/IREC52758.2021.9624885","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624885","url":null,"abstract":"This paper proposes a robust H∞ static output-feedback (SOF) controller design method for microgrid using Linear Parameter-Varying (LPV) approach. The proposed controller is designed to not only ensure a good frequency response with disturbance rejection, but also to provide the robustness in despite changes of the inertia of the grid. Two scenarios are studied in simulation to show the good steady-state and dynamic behaviours of the closed-loop system.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132531287","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624807
Azza Mustafaa, A. Rashad, S. Kamel, L. Nasrat, F. Jurado
The coupling of electrical networks with renewable energy plants has led to the emergence of many requirements and issues. These days the phenomenon of using energy storage systems (ESS) with renewable energy plants, especially solar one becomes the focus of attention of some research. In this paper, energy management system method (EMS) is applied to a small signal of solar photovoltaic system located at Benban associated with Battery energy storage system (BESS). The main aim of the paper is to achieve the flexibility and balance between the demanded power and cost during uncertainty condition. Actual data of Benban solar park and MATLAB Simulink package are used to create a Matlab model of a small signal of Benban Solar Park.
{"title":"Performance Analysis of Small Signal of Benban Solar Park Integrated with Battery ESS Optimized by EMS during Uncertainty Condition","authors":"Azza Mustafaa, A. Rashad, S. Kamel, L. Nasrat, F. Jurado","doi":"10.1109/IREC52758.2021.9624807","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624807","url":null,"abstract":"The coupling of electrical networks with renewable energy plants has led to the emergence of many requirements and issues. These days the phenomenon of using energy storage systems (ESS) with renewable energy plants, especially solar one becomes the focus of attention of some research. In this paper, energy management system method (EMS) is applied to a small signal of solar photovoltaic system located at Benban associated with Battery energy storage system (BESS). The main aim of the paper is to achieve the flexibility and balance between the demanded power and cost during uncertainty condition. Actual data of Benban solar park and MATLAB Simulink package are used to create a Matlab model of a small signal of Benban Solar Park.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132985963","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}
Pub Date : 2021-10-26DOI: 10.1109/irec52758.2021.9624874
{"title":"[IREC 2021 Breaker Page]","authors":"","doi":"10.1109/irec52758.2021.9624874","DOIUrl":"https://doi.org/10.1109/irec52758.2021.9624874","url":null,"abstract":"","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115534531","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624928
Nabeel A. Tawalbeh, Suad S. Al Mattar, Wejdan Abu Elhaija, M. Khasawneh
COVID-19 has been a source of great disruption to governments and people ali over the world. Health care systems have been overwhelmed, already destabilized financial markets further jeopardized, with oil and energy markets plunging into crises and economic activities coming to severe halts. To keep people connected while working from home and upholding life-saving facilities in hospitals and around industrial regimes, reliable affordable electricity is imminent. As an immediate consequence of the pandemic, much pressure has befallen countries with low-energy reserves, where the energy sectors involved had already been staggering and facing major challenges ahead of COVID-19. Jordan’s, being of these impacted countries, peak demand on electricity decreased by 17.5% by early April 2020 compared with the mean 2019 levels. Based on the ARMA and ARIMA models obtained, the impact on 2020 electricity demand in Jordan depends on the durations and levels of the confinement/s, with a low estimate of 2.76% if pre pandemic conditions return by mid-September (2020), and a high estimate of 7% if some restrictions remain in effect worldwide until the end of 2020. This article reports the short-term impact of the COVID-19 pandemic on the energy sector in Jordan, with Jordan being a typical example of many such countries worldwide. This will help leverage contingencies and good planning that would help the energy sectors worldwide remain within some sustainable regime/s.
{"title":"Impact of COVID-19 on Electric Energy Consumption","authors":"Nabeel A. Tawalbeh, Suad S. Al Mattar, Wejdan Abu Elhaija, M. Khasawneh","doi":"10.1109/IREC52758.2021.9624928","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624928","url":null,"abstract":"COVID-19 has been a source of great disruption to governments and people ali over the world. Health care systems have been overwhelmed, already destabilized financial markets further jeopardized, with oil and energy markets plunging into crises and economic activities coming to severe halts. To keep people connected while working from home and upholding life-saving facilities in hospitals and around industrial regimes, reliable affordable electricity is imminent. As an immediate consequence of the pandemic, much pressure has befallen countries with low-energy reserves, where the energy sectors involved had already been staggering and facing major challenges ahead of COVID-19. Jordan’s, being of these impacted countries, peak demand on electricity decreased by 17.5% by early April 2020 compared with the mean 2019 levels. Based on the ARMA and ARIMA models obtained, the impact on 2020 electricity demand in Jordan depends on the durations and levels of the confinement/s, with a low estimate of 2.76% if pre pandemic conditions return by mid-September (2020), and a high estimate of 7% if some restrictions remain in effect worldwide until the end of 2020. This article reports the short-term impact of the COVID-19 pandemic on the energy sector in Jordan, with Jordan being a typical example of many such countries worldwide. This will help leverage contingencies and good planning that would help the energy sectors worldwide remain within some sustainable regime/s.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658785","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624748
Sahin Gullu, Justin R. Phelps, I. Batarseh, Khalil Alluhaybi, M. Salameh, S. Al-Hallaj
This paper presents a Smart Battery Management System (SBMS) for integrated PV, Microinverter with Lithiumion battery pack. The battery in the integrated module is mainly dedicated to store the excess power generated from the PV panel. The battery also operates as a backup power source to compensate for the power mismatch between the source and the load. Therefore, the incorporated management system in the integrated module is necessary for balancing, protecting, and optimizing the lifetime of the battery. The proposed SBMS aims to optimize the battery capacity of each PV panel, provides thermal management strategy, and Master Controller Unit (MCU). MCU is the main controller which includes control algorithm for the 3-port microinverter and estimates the state-of-functions such as state-of-charge (SOC) and state-of-health (SOH) to make the integrated system more secure, reliable, and cost effective. In the paper, the optimum battery size has been simulated, the algorithm for MCU is described with battery model, and the battery modelling and state-of-functions have been theoretically and experimentally verified.
{"title":"Smart Battery Management System for Integrated PV, Microinverter and Energy Storage","authors":"Sahin Gullu, Justin R. Phelps, I. Batarseh, Khalil Alluhaybi, M. Salameh, S. Al-Hallaj","doi":"10.1109/IREC52758.2021.9624748","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624748","url":null,"abstract":"This paper presents a Smart Battery Management System (SBMS) for integrated PV, Microinverter with Lithiumion battery pack. The battery in the integrated module is mainly dedicated to store the excess power generated from the PV panel. The battery also operates as a backup power source to compensate for the power mismatch between the source and the load. Therefore, the incorporated management system in the integrated module is necessary for balancing, protecting, and optimizing the lifetime of the battery. The proposed SBMS aims to optimize the battery capacity of each PV panel, provides thermal management strategy, and Master Controller Unit (MCU). MCU is the main controller which includes control algorithm for the 3-port microinverter and estimates the state-of-functions such as state-of-charge (SOC) and state-of-health (SOH) to make the integrated system more secure, reliable, and cost effective. In the paper, the optimum battery size has been simulated, the algorithm for MCU is described with battery model, and the battery modelling and state-of-functions have been theoretically and experimentally verified.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114189336","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624773
M. Keddar, Z. Zhang, C. Periasamy, M. Doumbia
Hydrogen is an important industrial gas for clean fuel, power-to-gas energy storage, and chemical production. In large-scale electrolysis systems with a high direct current supply, power rectifiers are important components to connect to the main power grid. Currently, Thyristor-based topology is most commonly used for large-scale industrial proton exchange membrane (PEM) water electrolysis applications due to its maturity. However, this topology cannot always satisfy the main grid requirements and instead lead to higher specific energy consumption per kilogram of hydrogen produced. Instead, the transistor-based topology is more promising to reduce the total system cost. In this research, 6-pulse thyristor-based and transistor-based topologies are compared and investigated to improve the power quality for a 20 MW PEM water electrolyzer in Air Liquide's Bécancour plant. We first built a Matlab/Simulink model to simulate the water electrolysis system. Then, we compared the power quality parameters with the plant measurement.
{"title":"Comparative analysis of thyristor-based and transistor-based rectifiers for PEM water electrolysis","authors":"M. Keddar, Z. Zhang, C. Periasamy, M. Doumbia","doi":"10.1109/IREC52758.2021.9624773","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624773","url":null,"abstract":"Hydrogen is an important industrial gas for clean fuel, power-to-gas energy storage, and chemical production. In large-scale electrolysis systems with a high direct current supply, power rectifiers are important components to connect to the main power grid. Currently, Thyristor-based topology is most commonly used for large-scale industrial proton exchange membrane (PEM) water electrolysis applications due to its maturity. However, this topology cannot always satisfy the main grid requirements and instead lead to higher specific energy consumption per kilogram of hydrogen produced. Instead, the transistor-based topology is more promising to reduce the total system cost. In this research, 6-pulse thyristor-based and transistor-based topologies are compared and investigated to improve the power quality for a 20 MW PEM water electrolyzer in Air Liquide's Bécancour plant. We first built a Matlab/Simulink model to simulate the water electrolysis system. Then, we compared the power quality parameters with the plant measurement.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116129983","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624760
Kehinde R. Kamil, Jemilat I. Kamil, Qingsong Wang
There is a rising outcry of environmental pollution and the resulting effect of global warming caused by the use of fossil energies, there is a need for the introduction of highly efficient electric machines for propulsion and traction of the moving part with the increasing global acceptance of electric vehicles and advance machineries. This paper proposed a way to optimize the stator flux switching permanent magnet motor (FSPM) by the introduction of two dual slot additional rotors that are staged 180 degrees apart. The structure, electromagnetic properties and the phase direction of rotation of the proposed permanent magnet machine were investigated at different phase angle. Background study on the mode structure of establishing the proposed topology of one stator and two rotors instead of the conventional one rotor for the motor operation was done. With attention paid to the losses on the stator and rotor, finite element method was used to establish the structure of the proposed permanent magnet machine. The load simulation of the electromagnetic properties was investigated using FEMM 4.2 and Ansys Maxwell to show the advantages of the proposed machine topology to allowing higher electric loading to increase power density in electric vehicles.
{"title":"Optimization of Flux Switching Permanent Magnet Motor to enhance the traction of an Electric Vehicle","authors":"Kehinde R. Kamil, Jemilat I. Kamil, Qingsong Wang","doi":"10.1109/IREC52758.2021.9624760","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624760","url":null,"abstract":"There is a rising outcry of environmental pollution and the resulting effect of global warming caused by the use of fossil energies, there is a need for the introduction of highly efficient electric machines for propulsion and traction of the moving part with the increasing global acceptance of electric vehicles and advance machineries. This paper proposed a way to optimize the stator flux switching permanent magnet motor (FSPM) by the introduction of two dual slot additional rotors that are staged 180 degrees apart. The structure, electromagnetic properties and the phase direction of rotation of the proposed permanent magnet machine were investigated at different phase angle. Background study on the mode structure of establishing the proposed topology of one stator and two rotors instead of the conventional one rotor for the motor operation was done. With attention paid to the losses on the stator and rotor, finite element method was used to establish the structure of the proposed permanent magnet machine. The load simulation of the electromagnetic properties was investigated using FEMM 4.2 and Ansys Maxwell to show the advantages of the proposed machine topology to allowing higher electric loading to increase power density in electric vehicles.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125386975","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624843
A. Teyabeen, Najeya B. Elhatmi, Akram A. Essnid, F. Mohamed
The aim of this study is to compare seven empirical models to find out which of them is the most efficient for estimating monthly global solar radiation. 3-years period data (2018-2020) used for the comparison were collected using automatic weather station installed at the Libyan Center for Solar Energy Research and Studies site, Tripoli, Libya (Lat. 32.815 N, Long. 13.439 E). The least square method is used to establish the models and determine their empirical coefficients. In order to evaluate the performance of the established models, three statistical error tests were introduced, root mean square error, RMSE, mean absolute percentage error, MAPE, and correlation coefficient, R2. The obtained results indicated that the weather condition is fair during May-September, and scattered clouds during the other months. The results also indicated that the sunshine duration-based quadratic model presented the best efficiency for estimating the monthly average of daily global solar radiation on a horizontal surface, where it had the highest value of correlation coefficient, and the smallest values of MAPE and RMSE of 0.93, 2.8049, and 0.0195 kWh⁄m2 ⁄day, respectively.
{"title":"Comparison of Seven Empirical Models For Estimating Monthly Global Solar Radiation, (Case Study: Libya)","authors":"A. Teyabeen, Najeya B. Elhatmi, Akram A. Essnid, F. Mohamed","doi":"10.1109/IREC52758.2021.9624843","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624843","url":null,"abstract":"The aim of this study is to compare seven empirical models to find out which of them is the most efficient for estimating monthly global solar radiation. 3-years period data (2018-2020) used for the comparison were collected using automatic weather station installed at the Libyan Center for Solar Energy Research and Studies site, Tripoli, Libya (Lat. 32.815 N, Long. 13.439 E). The least square method is used to establish the models and determine their empirical coefficients. In order to evaluate the performance of the established models, three statistical error tests were introduced, root mean square error, RMSE, mean absolute percentage error, MAPE, and correlation coefficient, R2. The obtained results indicated that the weather condition is fair during May-September, and scattered clouds during the other months. The results also indicated that the sunshine duration-based quadratic model presented the best efficiency for estimating the monthly average of daily global solar radiation on a horizontal surface, where it had the highest value of correlation coefficient, and the smallest values of MAPE and RMSE of 0.93, 2.8049, and 0.0195 kWh⁄m2 ⁄day, respectively.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129592819","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}
Pub Date : 2021-10-26DOI: 10.1109/IREC52758.2021.9624897
T. Silva, M. Chaghouri, L. Tidahy, C. Gennequin, E. Abi-aad, M. Cesario, D. Macedo
CoNiMg4Al2 catalysts were synthesized using two different methods: solution blow spinning to produce nanofibers (NF), and co-precipitation to produce hydrotalcite precursors (HT). Part of the hydrotalcite sample was ground (GR) using mechanical milling to determine the effect of grinding on the catalytic performance. The three materials (NF, HT and GR) were tested in the dry and steam reforming of methane (DRM, SRM respectively) reactions during 12h stability tests at 700°C. The calcined and the used catalysts were characterized using XRD and DTA/TG analysis. All catalysts were active during the SRM and DRM tests; however, nanofibers showed a slightly higher activity in both reactions. The dry reforming of methane reaction was more susceptible to the formation of carbon deposition leading to the deactivation of the ground catalyst.
{"title":"Methane reforming reactions for hydrogen production using hydrotalcite precursors and nanofibers based catalysts","authors":"T. Silva, M. Chaghouri, L. Tidahy, C. Gennequin, E. Abi-aad, M. Cesario, D. Macedo","doi":"10.1109/IREC52758.2021.9624897","DOIUrl":"https://doi.org/10.1109/IREC52758.2021.9624897","url":null,"abstract":"CoNiMg4Al2 catalysts were synthesized using two different methods: solution blow spinning to produce nanofibers (NF), and co-precipitation to produce hydrotalcite precursors (HT). Part of the hydrotalcite sample was ground (GR) using mechanical milling to determine the effect of grinding on the catalytic performance. The three materials (NF, HT and GR) were tested in the dry and steam reforming of methane (DRM, SRM respectively) reactions during 12h stability tests at 700°C. The calcined and the used catalysts were characterized using XRD and DTA/TG analysis. All catalysts were active during the SRM and DRM tests; however, nanofibers showed a slightly higher activity in both reactions. The dry reforming of methane reaction was more susceptible to the formation of carbon deposition leading to the deactivation of the ground catalyst.","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129759027","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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