- Luis P. S. Santos; Fábio Minoru Yamaji;
Elias Ricardo Durango Padilla; Elias Ricardo Durango Padilla
Harvested from ORCID Public Data FileElias Ricardo Durango Padilla in OpenAIRE Andrea Cressoni de Conti; +4 AuthorsAndrea Cressoni de Conti
Harvested from ORCID Public Data FileAndrea Cressoni de Conti in OpenAIRELuis P. S. Santos; Fábio Minoru Yamaji; Elias Ricardo Durango Padilla; Elias Ricardo Durango Padilla
Harvested from ORCID Public Data FileElias Ricardo Durango Padilla in OpenAIRE Andrea Cressoni de Conti; João Lúcio de Barros; Gabriela Tami Nakashima; Santiago Hansted; Ana Larissa;Andrea Cressoni de Conti
Harvested from ORCID Public Data FileAndrea Cressoni de Conti in OpenAIRECharcoal has a large share in the Brazilian market. The production is carried out by pyrolysis of biomass at different temperatures, between 300 and 500 °C. In this study, the corn cob pyrolysis was investigated using thermogravimetric analysis (TGA) and Fourier Transform Infrared Spectroscopy (FTIR). Samples after pyrolysis were compared with raw biomass to evaluate changes in fuel characteristics. In DTG curves a reduction in the number of degradation peaks in the carbonized material was observed. The FTIR spectra allowed to identify the aromatic ring of the lignin in the charcoals structure, indicating the presence of this compound even in charcoals produced with a temperature of 500 °C. It can be concluded that the temperature of 400 °C was enough to completely degrade the hemicellulose and cellulose of the biomass, resulting the final product (charcoal) less reactive or thermally more resistant than the in natura corn cob.
Access RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% 
Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21577/0100-4042.20170360&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Luis P. S. Santos; Fábio Minoru Yamaji; Elias Ricardo Durango Padilla;
Elias Ricardo Durango Padilla
Harvested from ORCID Public Data FileElias Ricardo Durango Padilla in OpenAIRE Andrea Cressoni de Conti; +4 AuthorsAndrea Cressoni de Conti
Harvested from ORCID Public Data FileAndrea Cressoni de Conti in OpenAIRELuis P. S. Santos; Fábio Minoru Yamaji; Elias Ricardo Durango Padilla; Elias Ricardo Durango Padilla
Harvested from ORCID Public Data FileElias Ricardo Durango Padilla in OpenAIRE Andrea Cressoni de Conti; João Lúcio de Barros; Gabriela Tami Nakashima; Santiago Hansted; Ana Larissa;Andrea Cressoni de Conti
Harvested from ORCID Public Data FileAndrea Cressoni de Conti in OpenAIRECharcoal has a large share in the Brazilian market. The production is carried out by pyrolysis of biomass at different temperatures, between 300 and 500 °C. In this study, the corn cob pyrolysis was investigated using thermogravimetric analysis (TGA) and Fourier Transform Infrared Spectroscopy (FTIR). Samples after pyrolysis were compared with raw biomass to evaluate changes in fuel characteristics. In DTG curves a reduction in the number of degradation peaks in the carbonized material was observed. The FTIR spectra allowed to identify the aromatic ring of the lignin in the charcoals structure, indicating the presence of this compound even in charcoals produced with a temperature of 500 °C. It can be concluded that the temperature of 400 °C was enough to completely degrade the hemicellulose and cellulose of the biomass, resulting the final product (charcoal) less reactive or thermally more resistant than the in natura corn cob.
Access RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21577/0100-4042.20170360&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18201/ijisae.2017533858&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18201/ijisae.2017533858&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jaouad Khalfi; Najib Boumaaz; Abdallah Soulmani;
Jaouad Khalfi
Harvested from ORCID Public Data FileJaouad Khalfi in OpenAIRE El Mehdi Laadissi; El Mehdi Laadissi
Harvested from ORCID Public Data FileEl Mehdi Laadissi in OpenAIREThe Box–Jenkins model is a polynomial model that uses transfer functions to express relationships between input, output, and noise for a given system. In this article, we present a Box–Jenkins linear model for a lithium-ion battery cell for use in electric vehicles. The model parameter identifications are based on automotive drive-cycle measurements. The proposed model prediction performance is evaluated using the goodness-of-fit criteria and the mean squared error between the Box–Jenkins model and the measured battery cell output. A simulation confirmed that the proposed Box–Jenkins model could adequately capture the battery cell dynamics for different automotive drive cycles and reasonably predict the actual battery cell output. The goodness-of-fit value shows that the Box–Jenkins model matches the battery cell data by 86.85% in the identification phase, and 90.83% in the validation phase for the LA-92 driving cycle. This work demonstrates the potential of using a simple and linear model to predict the battery cell behavior based on a complex identification dataset that represents the actual use of the battery cell in an electric vehicle.
Access Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/wevj12030102&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jaouad Khalfi; Najib Boumaaz; Abdallah Soulmani;
Jaouad Khalfi
Harvested from ORCID Public Data FileJaouad Khalfi in OpenAIRE El Mehdi Laadissi; El Mehdi Laadissi
Harvested from ORCID Public Data FileEl Mehdi Laadissi in OpenAIREThe Box–Jenkins model is a polynomial model that uses transfer functions to express relationships between input, output, and noise for a given system. In this article, we present a Box–Jenkins linear model for a lithium-ion battery cell for use in electric vehicles. The model parameter identifications are based on automotive drive-cycle measurements. The proposed model prediction performance is evaluated using the goodness-of-fit criteria and the mean squared error between the Box–Jenkins model and the measured battery cell output. A simulation confirmed that the proposed Box–Jenkins model could adequately capture the battery cell dynamics for different automotive drive cycles and reasonably predict the actual battery cell output. The goodness-of-fit value shows that the Box–Jenkins model matches the battery cell data by 86.85% in the identification phase, and 90.83% in the validation phase for the LA-92 driving cycle. This work demonstrates the potential of using a simple and linear model to predict the battery cell behavior based on a complex identification dataset that represents the actual use of the battery cell in an electric vehicle.
Access Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/wevj12030102&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Marcos G. Alberti;
Marcos G. Alberti
Harvested from ORCID Public Data FileMarcos G. Alberti in OpenAIRE Jaime C. Gálvez; Jaime C. Gálvez
Harvested from ORCID Public Data FileJaime C. Gálvez in OpenAIRE Alejandro Enfedaque; Ana Carmona; +2 AuthorsAlejandro Enfedaque
Harvested from ORCID Public Data FileAlejandro Enfedaque in OpenAIRE Marcos G. Alberti; Marcos G. Alberti
Harvested from ORCID Public Data FileMarcos G. Alberti in OpenAIRE Jaime C. Gálvez; Jaime C. Gálvez
Harvested from ORCID Public Data FileJaime C. Gálvez in OpenAIRE Alejandro Enfedaque; Ana Carmona; Cristina Valverde; Gabriel Pardo;Alejandro Enfedaque
Harvested from ORCID Public Data FileAlejandro Enfedaque in OpenAIREConstruction involves the use of significant quantities of raw materials and entails high-energy consumption. For the sake of choosing the most appropriate solution that considers environmental and sustainable concepts, tools such as the integrated value model for sustainable assessment (Modelo Integrado de Valor para una Evaluación Sostenible, MIVES) used in Spain, plays a key role in obtaining the best solution. MIVES is a multi-criteria decision-making method based on the value function concept and the seminars delivered by experts. Such tools, in order to show how they may work, require application to case studies. In this paper, two concrete slabs manufactured with differing reinforcements during the construction of the La Canda Tunnels are compared by means of MIVES. The two concrete slabs were reinforced with a conventional steel-mesh and with polyolefin fibres. This research was focussed on the main aspects affecting the construction. That is to say, the environmental, economic, and social factors were assessed by the method, being of special impact the issues related with maintenance of the structure. The results showed that from the point of view of sustainability, the use of polyolefin fibres provided a significant advantage, mainly due to the lower maintenance required.
Access RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su10124765&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Marcos G. Alberti;
Marcos G. Alberti
Harvested from ORCID Public Data FileMarcos G. Alberti in OpenAIRE Jaime C. Gálvez; Jaime C. Gálvez
Harvested from ORCID Public Data FileJaime C. Gálvez in OpenAIRE Alejandro Enfedaque; Ana Carmona; +2 AuthorsAlejandro Enfedaque
Harvested from ORCID Public Data FileAlejandro Enfedaque in OpenAIRE Marcos G. Alberti; Marcos G. Alberti
Harvested from ORCID Public Data FileMarcos G. Alberti in OpenAIRE Jaime C. Gálvez; Jaime C. Gálvez
Harvested from ORCID Public Data FileJaime C. Gálvez in OpenAIRE Alejandro Enfedaque; Ana Carmona; Cristina Valverde; Gabriel Pardo;Alejandro Enfedaque
Harvested from ORCID Public Data FileAlejandro Enfedaque in OpenAIREConstruction involves the use of significant quantities of raw materials and entails high-energy consumption. For the sake of choosing the most appropriate solution that considers environmental and sustainable concepts, tools such as the integrated value model for sustainable assessment (Modelo Integrado de Valor para una Evaluación Sostenible, MIVES) used in Spain, plays a key role in obtaining the best solution. MIVES is a multi-criteria decision-making method based on the value function concept and the seminars delivered by experts. Such tools, in order to show how they may work, require application to case studies. In this paper, two concrete slabs manufactured with differing reinforcements during the construction of the La Canda Tunnels are compared by means of MIVES. The two concrete slabs were reinforced with a conventional steel-mesh and with polyolefin fibres. This research was focussed on the main aspects affecting the construction. That is to say, the environmental, economic, and social factors were assessed by the method, being of special impact the issues related with maintenance of the structure. The results showed that from the point of view of sustainability, the use of polyolefin fibres provided a significant advantage, mainly due to the lower maintenance required.
Access RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su10124765&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200105 (University of Belgrade, Faculty of Mechanical Engineering) Nenad M Kolarević;
Nenad M Kolarević
Harvested from ORCID Public Data FileNenad M Kolarević in OpenAIRE Miloš B Stanković; Miloš B Stanković
Harvested from ORCID Public Data FileMiloš B Stanković in OpenAIRE
Marko V Miloš; Marko V Miloš
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarko V Miloš in OpenAIRE Nikola S Davidović; Nikola S Davidović
Harvested from ORCID Public Data FileNikola S Davidović in OpenAIREThe operation of gas generators brings relatively high thermo-mechanical loads on the gas generator structure. The objective of this article is to determine the operating conditions, in terms of mechanical loads at extremely high temperatures in very limited and narrow space, of a multifunctional bulkhead for application on specific kinds of gas generators with back-to-back rotor concept. The paper contains numerical analysis and experimental investigation for determining the loads and behavior of the structure. Numerical analysis indicates that there is significant influence of the Tesla turbine effect on flow parameters. Also, uneven pressure distribution and significant thermal loads are identified. With experimental investigation and subsequent exploitation tests, it was concluded that the presented methodology identifies the operating conditions, truthfully simulates the bulkhead stress state and deformations and that the presented design solution satisfied all demands. Regarding results obtained by these numerical simulations, the innovative design solution for the multifunctional bulkhead was proposed.
Access RoutesGreen gold 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/16878132221115939&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200105 (University of Belgrade, Faculty of Mechanical Engineering) Nenad M Kolarević;
Nenad M Kolarević
Harvested from ORCID Public Data FileNenad M Kolarević in OpenAIRE Miloš B Stanković; Miloš B Stanković
Harvested from ORCID Public Data FileMiloš B Stanković in OpenAIRE Marko V Miloš; Marko V Miloš
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarko V Miloš in OpenAIRE Nikola S Davidović; Nikola S Davidović
Harvested from ORCID Public Data FileNikola S Davidović in OpenAIREThe operation of gas generators brings relatively high thermo-mechanical loads on the gas generator structure. The objective of this article is to determine the operating conditions, in terms of mechanical loads at extremely high temperatures in very limited and narrow space, of a multifunctional bulkhead for application on specific kinds of gas generators with back-to-back rotor concept. The paper contains numerical analysis and experimental investigation for determining the loads and behavior of the structure. Numerical analysis indicates that there is significant influence of the Tesla turbine effect on flow parameters. Also, uneven pressure distribution and significant thermal loads are identified. With experimental investigation and subsequent exploitation tests, it was concluded that the presented methodology identifies the operating conditions, truthfully simulates the bulkhead stress state and deformations and that the presented design solution satisfied all demands. Regarding results obtained by these numerical simulations, the innovative design solution for the multifunctional bulkhead was proposed.
Access RoutesGreen gold 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/16878132221115939&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Erdal Dursun;
Erdal Dursun
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesErdal Dursun in OpenAIREThe major goal of this research paper is to determine the long-run linkage among variables and the impact of civil aviation, energy productivity (efficiency), economic growth (GDP), on ecological footprint through conducting the multivariate regression method, Phillips‑Ouliaris and Engle‑Granger, Jarque – Bera Normality, and Cusum tests from 1970 to 2020. According to results of multivariate regression method, civil aviation, energy efficiency, and economic growth affect the ecological footprint from 1970 to 2020 in France which is coincide with Phillips‑Ouliaris and Engle‑Granger tests. On the contrary, there is no effect of independent variables on dependent variable (ecological footprint) in Finland which is consistent with Phillips‑Ouliaris and Engle‑Granger tests. In this respect, The long-run relation of the model is verified by the cointegration test of Engle-Granger and Phillips-Ouliaris for France. However, there is no long-run co-integration among variables for Finland from 1970-2020. To sum up, empirical results of France is verified EKC hypothesis. However, EKC hypothesis is not verified for Finland.
Access Routesgold 5 citations 5 popularity Average influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.32479/ijeep.13399&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Erdal Dursun;
Erdal Dursun
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesErdal Dursun in OpenAIREThe major goal of this research paper is to determine the long-run linkage among variables and the impact of civil aviation, energy productivity (efficiency), economic growth (GDP), on ecological footprint through conducting the multivariate regression method, Phillips‑Ouliaris and Engle‑Granger, Jarque – Bera Normality, and Cusum tests from 1970 to 2020. According to results of multivariate regression method, civil aviation, energy efficiency, and economic growth affect the ecological footprint from 1970 to 2020 in France which is coincide with Phillips‑Ouliaris and Engle‑Granger tests. On the contrary, there is no effect of independent variables on dependent variable (ecological footprint) in Finland which is consistent with Phillips‑Ouliaris and Engle‑Granger tests. In this respect, The long-run relation of the model is verified by the cointegration test of Engle-Granger and Phillips-Ouliaris for France. However, there is no long-run co-integration among variables for Finland from 1970-2020. To sum up, empirical results of France is verified EKC hypothesis. However, EKC hypothesis is not verified for Finland.
Access Routesgold 5 citations 5 popularity Average influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.32479/ijeep.13399&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jilei Ye; Chao Wu; Changlong Ma; Zijie Yuan; Yilong Guo; Ruoyu Wang; Yuping Wu; Jinlei Sun; Lili Liu;
The battery power state (SOP) is the basic indicator for the Battery management system (BMS) of the battery energy storage system (BESS) to formulate control strategies. Although there have been many studies on state estimation of lithium-ion batteries (LIBs), aging and temperature variation are seldom considered in peak power prediction during the whole life of the battery. To fill this gap, this paper aims to propose an adaptive peak power prediction method for power lithium-ion batteries considering temperature and aging is proposed. First, the Thevenin equivalent circuit model is used to jointly estimate the state of charge (SOC) and SOP of the lithium-ion power battery, and the variable forgetting factor recursive least squares (VFF-RLS) algorithm and extended Kalman filter (EKF) are utilized to identify the battery parameters online. Then, multiple constraint parameters including current, voltage, and SOC were derived, considering the dependence of the polarization resistance of the battery on the battery current. Finally, the verification experiment was carried out with LiFePO4 battery. The experimental results under FUDS operating conditions show that the maximum SOC estimation error is 1.94%. And the power prediction errors at 20%, 50%, and 70% SOC were 5.0%, 8.1% and 4.5%, respectively. Our further work will focus on the joint estimation of battery state to further improve the accuracy.
Access Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/pr11082449&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jilei Ye; Chao Wu; Changlong Ma; Zijie Yuan; Yilong Guo; Ruoyu Wang; Yuping Wu; Jinlei Sun; Lili Liu;
The battery power state (SOP) is the basic indicator for the Battery management system (BMS) of the battery energy storage system (BESS) to formulate control strategies. Although there have been many studies on state estimation of lithium-ion batteries (LIBs), aging and temperature variation are seldom considered in peak power prediction during the whole life of the battery. To fill this gap, this paper aims to propose an adaptive peak power prediction method for power lithium-ion batteries considering temperature and aging is proposed. First, the Thevenin equivalent circuit model is used to jointly estimate the state of charge (SOC) and SOP of the lithium-ion power battery, and the variable forgetting factor recursive least squares (VFF-RLS) algorithm and extended Kalman filter (EKF) are utilized to identify the battery parameters online. Then, multiple constraint parameters including current, voltage, and SOC were derived, considering the dependence of the polarization resistance of the battery on the battery current. Finally, the verification experiment was carried out with LiFePO4 battery. The experimental results under FUDS operating conditions show that the maximum SOC estimation error is 1.94%. And the power prediction errors at 20%, 50%, and 70% SOC were 5.0%, 8.1% and 4.5%, respectively. Our further work will focus on the joint estimation of battery state to further improve the accuracy.
Access Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/pr11082449&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Sheikh Ahmad Zaki; Mohamad Faizal Rosli;
Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli; +2 AuthorsHom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Sheikh Ahmad Zaki; Mohamad Faizal Rosli;Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli;Hom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Aya Hagishima; Aya Hagishima
Harvested from ORCID Public Data FileAya Hagishima in OpenAIRE Fitri Yakub; Fitri Yakub
Harvested from ORCID Public Data FileFitri Yakub in OpenAIREComfort temperature and sleep quality involving 20 participants were determined in two cases: Case A (arbitrary, controlled air-conditioner setting) and Case B (adjustment of 3 °C higher than the setting of Case A with cool bed linen). Data of indoor thermal comfort and electricity consumption were collected every night throughout the measurement period. Questionnaires on thermal comfort and sleep quality were distributed twice a night for a duration of three nights for each case; the first night was for respondents’ adaptation and the following two nights were for measurement. The sleep quality of the respondents was objectively measured using a commercially available activity tracker. Results found that most respondents were thermally comfortable in both cases, with 39% lower energy consumption reported for Case B compared to Case A. The thermal conditions of Case B were found to be more tolerable than those of Case A. Most respondents reported to have a calm and satisfied sleep for both cases. Comfort temperature and Sleep Efficiency Index (SEI) were found to be maintained in both cases.
Access Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169099&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Sheikh Ahmad Zaki; Mohamad Faizal Rosli;
Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli; +2 AuthorsHom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Sheikh Ahmad Zaki; Mohamad Faizal Rosli;Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli;Hom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Aya Hagishima; Aya Hagishima
Harvested from ORCID Public Data FileAya Hagishima in OpenAIRE Fitri Yakub; Fitri Yakub
Harvested from ORCID Public Data FileFitri Yakub in OpenAIREComfort temperature and sleep quality involving 20 participants were determined in two cases: Case A (arbitrary, controlled air-conditioner setting) and Case B (adjustment of 3 °C higher than the setting of Case A with cool bed linen). Data of indoor thermal comfort and electricity consumption were collected every night throughout the measurement period. Questionnaires on thermal comfort and sleep quality were distributed twice a night for a duration of three nights for each case; the first night was for respondents’ adaptation and the following two nights were for measurement. The sleep quality of the respondents was objectively measured using a commercially available activity tracker. Results found that most respondents were thermally comfortable in both cases, with 39% lower energy consumption reported for Case B compared to Case A. The thermal conditions of Case B were found to be more tolerable than those of Case A. Most respondents reported to have a calm and satisfied sleep for both cases. Comfort temperature and Sleep Efficiency Index (SEI) were found to be maintained in both cases.
Access Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169099&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2014.10.071&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2014.10.071&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- NSF| MRI: Acquisition of a Field Emission-Scanning Electron Microscope for Nanoscience Research and Education ,NSF| Research on Environmental Sustainability of Semi-Arid Coastal Areas (RESSACA)Jingbo Liu; Yuan Yuan; Sajid Bashir;
Sajid Bashir
Harvested from ORCID Public Data FileSajid Bashir in OpenAIREThe focus of this research lies on fundamental research to provide guidelines for the design of new nanocatalyst toward improvement of the performance of proton exchange membrane fuel cells (PEMFCs). To achieve this overarching goal, several specific steps were taken with aims to: (1) provide guidelines for the design of new catalysts; (2) promote nanocatalyst applications towards alternative energy applications; and (3) integrate advanced instrumentation into nanocharacterization and fuel cell (FC) electrochemical behavior. In tandem with these goals, the cathode catalysts were extensively refined to improve the performance of PEMFCs and minimize noble metal usage. In this study, the major accomplishment was producing aligned carbon nanotubes (ACNTs), which were then modified by platinum (Pt) nanoparticles via a post-functionalization colloidal chemistry approach. The Pt-ACNTs demonstrated improved cathodic catalycity, by building better device endurance and decreased Pt loading. It was also determined that surface mechanical properties, such as elastic modulus and hardness were increased. Collectively, these enhancements provided an improved FC device. The electrochemical analyses indicated that the power density of the PEMFCs was increased to 900 mW/cm2 and current density to 3000 mA/cm2, respectively. The Pt loading was controlled at lower than 0.2 mg/cm2 to decrease the manufacturing expenses.
Access Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en6126476&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSF| MRI: Acquisition of a Field Emission-Scanning Electron Microscope for Nanoscience Research and Education ,NSF| Research on Environmental Sustainability of Semi-Arid Coastal Areas (RESSACA)Jingbo Liu; Yuan Yuan; Sajid Bashir;
Sajid Bashir
Harvested from ORCID Public Data FileSajid Bashir in OpenAIREThe focus of this research lies on fundamental research to provide guidelines for the design of new nanocatalyst toward improvement of the performance of proton exchange membrane fuel cells (PEMFCs). To achieve this overarching goal, several specific steps were taken with aims to: (1) provide guidelines for the design of new catalysts; (2) promote nanocatalyst applications towards alternative energy applications; and (3) integrate advanced instrumentation into nanocharacterization and fuel cell (FC) electrochemical behavior. In tandem with these goals, the cathode catalysts were extensively refined to improve the performance of PEMFCs and minimize noble metal usage. In this study, the major accomplishment was producing aligned carbon nanotubes (ACNTs), which were then modified by platinum (Pt) nanoparticles via a post-functionalization colloidal chemistry approach. The Pt-ACNTs demonstrated improved cathodic catalycity, by building better device endurance and decreased Pt loading. It was also determined that surface mechanical properties, such as elastic modulus and hardness were increased. Collectively, these enhancements provided an improved FC device. The electrochemical analyses indicated that the power density of the PEMFCs was increased to 900 mW/cm2 and current density to 3000 mA/cm2, respectively. The Pt loading was controlled at lower than 0.2 mg/cm2 to decrease the manufacturing expenses.
Access Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en6126476&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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