- 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 - NSERCLaadila, Mohamed Amine; Suresh, Gayatri;
Suresh, Gayatri
Harvested from ORCID Public Data FileSuresh, Gayatri in OpenAIRE Rouissi, Tarek; Kumar, Pratik; +5 AuthorsRouissi, Tarek
Harvested from ORCID Public Data FileRouissi, Tarek in OpenAIRELaadila, Mohamed Amine; Suresh, Gayatri; Suresh, Gayatri
Harvested from ORCID Public Data FileSuresh, Gayatri in OpenAIRE Rouissi, Tarek; Kumar, Pratik; Brar, Satinder Kaur; Cheikh, Ridha Ben; Abokitse, Kofi; Galvez, Rosa; Jacob, Colin;Rouissi, Tarek
Harvested from ORCID Public Data FileRouissi, Tarek in OpenAIRERecycled polylactic acid (PLAr) was reinforced with treated nanocellulosic hemp fibers for biocomposite fabrication. Cellulosic fibers were extracted from hemp fibers chemically and treated enzymatically. Treated nanocellulosic fibers (NCF) were analyzed by Fourier-transform infrared spectroscopy, X-ray diffraction, and scanning electron microscopy. Biocomposite fabrication was done with PLAr and three concentrations of treated NCF (0.1%, 0.25%, and 1% (v/v)) and then studied for thermal stability and mechanical properties. Increased thermal stability was observed with increasing NCF concentrations. The highest value for Young’s modulus was for PLAr + 0.25% (v/v) NCF (250.28 ± 5.47 MPa), which was significantly increased compared to PLAr (p = 0.022). There was a significant decrease in the tensile stress at break point for PLAr + 0.25% (v/v) NCF and PLAr + 1% (v/v) NCF as compared to control (p = 0.006 and 0.002, respectively). No significant difference was observed between treatments for tensile stress at yield.
Access Routesgold 5 citations 5 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=10.3390/en13041003&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSERCLaadila, Mohamed Amine; Suresh, Gayatri;
Suresh, Gayatri
Harvested from ORCID Public Data FileSuresh, Gayatri in OpenAIRE Rouissi, Tarek; Kumar, Pratik; +5 AuthorsRouissi, Tarek
Harvested from ORCID Public Data FileRouissi, Tarek in OpenAIRELaadila, Mohamed Amine; Suresh, Gayatri; Suresh, Gayatri
Harvested from ORCID Public Data FileSuresh, Gayatri in OpenAIRE Rouissi, Tarek; Kumar, Pratik; Brar, Satinder Kaur; Cheikh, Ridha Ben; Abokitse, Kofi; Galvez, Rosa; Jacob, Colin;Rouissi, Tarek
Harvested from ORCID Public Data FileRouissi, Tarek in OpenAIRERecycled polylactic acid (PLAr) was reinforced with treated nanocellulosic hemp fibers for biocomposite fabrication. Cellulosic fibers were extracted from hemp fibers chemically and treated enzymatically. Treated nanocellulosic fibers (NCF) were analyzed by Fourier-transform infrared spectroscopy, X-ray diffraction, and scanning electron microscopy. Biocomposite fabrication was done with PLAr and three concentrations of treated NCF (0.1%, 0.25%, and 1% (v/v)) and then studied for thermal stability and mechanical properties. Increased thermal stability was observed with increasing NCF concentrations. The highest value for Young’s modulus was for PLAr + 0.25% (v/v) NCF (250.28 ± 5.47 MPa), which was significantly increased compared to PLAr (p = 0.022). There was a significant decrease in the tensile stress at break point for PLAr + 0.25% (v/v) NCF and PLAr + 1% (v/v) NCF as compared to control (p = 0.006 and 0.002, respectively). No significant difference was observed between treatments for tensile stress at yield.
Access Routesgold 5 citations 5 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=10.3390/en13041003&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jennifer Brucker;
Jennifer Brucker
Harvested from ORCID Public Data FileJennifer Brucker in OpenAIRE René Behmann; René Behmann
Harvested from ORCID Public Data FileRené Behmann in OpenAIRE Wolfgang G. Bessler; Rainer Gasper;Wolfgang G. Bessler
Harvested from ORCID Public Data FileWolfgang G. Bessler in OpenAIRELithium-ion batteries exhibit a dynamic voltage behaviour depending nonlinearly on current and state of charge. The modelling of lithium-ion batteries is therefore complicated and model parametrisation is often time demanding. Grey-box models combine physical and data-driven modelling to benefit from their respective advantages. Neural ordinary differential equations (NODEs) offer new possibilities for grey-box modelling. Differential equations given by physical laws and NODEs can be combined in a single modelling framework. Here we demonstrate the use of NODEs for grey-box modelling of lithium-ion batteries. A simple equivalent circuit model serves as a basis and represents the physical part of the model. The voltage drop over the resistor–capacitor circuit, including its dependency on current and state of charge, is implemented as a NODE. After training, the grey-box model shows good agreement with experimental full-cycle data and pulse tests on a lithium iron phosphate cell. We test the model against two dynamic load profiles: one consisting of half cycles and one dynamic load profile representing a home-storage system. The dynamic response of the battery is well captured by the model.
Access RoutesGreen gold 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/en15072661&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jennifer Brucker;
Jennifer Brucker
Harvested from ORCID Public Data FileJennifer Brucker in OpenAIRE René Behmann; René Behmann
Harvested from ORCID Public Data FileRené Behmann in OpenAIRE Wolfgang G. Bessler; Rainer Gasper;Wolfgang G. Bessler
Harvested from ORCID Public Data FileWolfgang G. Bessler in OpenAIRELithium-ion batteries exhibit a dynamic voltage behaviour depending nonlinearly on current and state of charge. The modelling of lithium-ion batteries is therefore complicated and model parametrisation is often time demanding. Grey-box models combine physical and data-driven modelling to benefit from their respective advantages. Neural ordinary differential equations (NODEs) offer new possibilities for grey-box modelling. Differential equations given by physical laws and NODEs can be combined in a single modelling framework. Here we demonstrate the use of NODEs for grey-box modelling of lithium-ion batteries. A simple equivalent circuit model serves as a basis and represents the physical part of the model. The voltage drop over the resistor–capacitor circuit, including its dependency on current and state of charge, is implemented as a NODE. After training, the grey-box model shows good agreement with experimental full-cycle data and pulse tests on a lithium iron phosphate cell. We test the model against two dynamic load profiles: one consisting of half cycles and one dynamic load profile representing a home-storage system. The dynamic response of the battery is well captured by the model.
Access RoutesGreen gold 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/en15072661&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Alexander Begemann;
Alexander Begemann
Harvested from ORCID Public Data FileAlexander Begemann in OpenAIRE Theresa Trummler; Theresa Trummler
Harvested from ORCID Public Data FileTheresa Trummler in OpenAIRE Alexander Doehring; Alexander Doehring
Harvested from ORCID Public Data FileAlexander Doehring in OpenAIRE Michael Pfitzner; +1 AuthorsMichael Pfitzner
Harvested from ORCID Public Data FileMichael Pfitzner in OpenAIRE Alexander Begemann; Alexander Begemann
Harvested from ORCID Public Data FileAlexander Begemann in OpenAIRE Theresa Trummler; Theresa Trummler
Harvested from ORCID Public Data FileTheresa Trummler in OpenAIRE Alexander Doehring; Alexander Doehring
Harvested from ORCID Public Data FileAlexander Doehring in OpenAIRE Michael Pfitzner; Michael Pfitzner
Harvested from ORCID Public Data FileMichael Pfitzner in OpenAIRE Markus Klein; Markus Klein
Harvested from ORCID Public Data FileMarkus Klein in OpenAIREMixing under high pressure conditions plays a central role in several engineering applications, such as direct-injection engines and liquid rocket engines. Numerical flow simulations have become a complementary tool to study the mixing process under these conditions but require complex thermodynamic modeling as well as validation with accurate experimental data. For this reason, we use experiments of supercritical single-phase jet mixing from the literature, where the mixing is quantified by the mixture speed of sound, as a reference for our work. We here focus on the thermodynamic modeling of multi-component flows under high pressure conditions and the analytical calculation of the mixture speed of sound. Our thermodynamic model is based on cubic equations of state extended for multi-components. Using an extension of OpenFOAM, we perform large-eddy simulations of hexane and pentane injections and compare our results with the experimentally measured mixture speed of sound at specific positions. The simulation results show the same characteristic trends, indicating that the mixing effects are well reproduced in the simulations. Additionally, the effect of the sub-grid scale modeling is assessed by comparing results using different models (Smagorinsky, Vreman, and Wall-Adapting Local Eddy-viscosity). The comprehensive simulation data presented here, in combination with the experimental data, provide a benchmark for numerical simulations of jet mixing in high pressure conditions.
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/en16052113&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Alexander Begemann;
Alexander Begemann
Harvested from ORCID Public Data FileAlexander Begemann in OpenAIRE Theresa Trummler; Theresa Trummler
Harvested from ORCID Public Data FileTheresa Trummler in OpenAIRE Alexander Doehring; Alexander Doehring
Harvested from ORCID Public Data FileAlexander Doehring in OpenAIRE Michael Pfitzner; +1 AuthorsMichael Pfitzner
Harvested from ORCID Public Data FileMichael Pfitzner in OpenAIRE Alexander Begemann; Alexander Begemann
Harvested from ORCID Public Data FileAlexander Begemann in OpenAIRE Theresa Trummler; Theresa Trummler
Harvested from ORCID Public Data FileTheresa Trummler in OpenAIRE Alexander Doehring; Alexander Doehring
Harvested from ORCID Public Data FileAlexander Doehring in OpenAIRE Michael Pfitzner; Michael Pfitzner
Harvested from ORCID Public Data FileMichael Pfitzner in OpenAIRE Markus Klein; Markus Klein
Harvested from ORCID Public Data FileMarkus Klein in OpenAIREMixing under high pressure conditions plays a central role in several engineering applications, such as direct-injection engines and liquid rocket engines. Numerical flow simulations have become a complementary tool to study the mixing process under these conditions but require complex thermodynamic modeling as well as validation with accurate experimental data. For this reason, we use experiments of supercritical single-phase jet mixing from the literature, where the mixing is quantified by the mixture speed of sound, as a reference for our work. We here focus on the thermodynamic modeling of multi-component flows under high pressure conditions and the analytical calculation of the mixture speed of sound. Our thermodynamic model is based on cubic equations of state extended for multi-components. Using an extension of OpenFOAM, we perform large-eddy simulations of hexane and pentane injections and compare our results with the experimentally measured mixture speed of sound at specific positions. The simulation results show the same characteristic trends, indicating that the mixing effects are well reproduced in the simulations. Additionally, the effect of the sub-grid scale modeling is assessed by comparing results using different models (Smagorinsky, Vreman, and Wall-Adapting Local Eddy-viscosity). The comprehensive simulation data presented here, in combination with the experimental data, provide a benchmark for numerical simulations of jet mixing in high pressure conditions.
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/en16052113&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Md. Abdullah-Al-Mahbub;
Md. Abdullah-Al-Mahbub
Harvested from ORCID Public Data FileMd. Abdullah-Al-Mahbub in OpenAIRE Abu Reza Md. Towfiqul Islam; Abu Reza Md. Towfiqul Islam
Harvested from ORCID Public Data FileAbu Reza Md. Towfiqul Islam in OpenAIRE Hussein Almohamad; Ahmed Abdullah Al Dughairi; +2 AuthorsHussein Almohamad
Harvested from ORCID Public Data FileHussein Almohamad in OpenAIRE Md. Abdullah-Al-Mahbub; Md. Abdullah-Al-Mahbub
Harvested from ORCID Public Data FileMd. Abdullah-Al-Mahbub in OpenAIRE Abu Reza Md. Towfiqul Islam; Abu Reza Md. Towfiqul Islam
Harvested from ORCID Public Data FileAbu Reza Md. Towfiqul Islam in OpenAIRE Hussein Almohamad; Ahmed Abdullah Al Dughairi; Motrih Al-Mutiry;Hussein Almohamad
Harvested from ORCID Public Data FileHussein Almohamad in OpenAIRE Hazem Ghassan Abdo; Hazem Ghassan Abdo
Harvested from ORCID Public Data FileHazem Ghassan Abdo in OpenAIREGlobal fossil fuel reserves are declining due to differential uses, especially for power generation. Everybody can help to do their bit for the environment by using solar energy. Geographically, Bangladesh is a potential zone for harnessing solar energy. In March 2021, the renewable generation capacity in Bangladesh amounted to 722.592 MW, including 67.6% from solar, 31.84% from hydro, and 0.55% from other energy sources, including wind, biogas, and biomass, where 488.662 MW of power originated from over 6 million installed solar power systems. Concurrently, over 42% of rural people still suffer from a lack of electricity, where solar energy can play a vital role. This paper highlights the present status of various forms of solar energy progress in Bangladesh, such as solar parks, solar rooftops, solar irrigation, solar charging stations, solar home systems, solar-powered telecoms, solar street lights, and solar drinking water, which can be viable alternative sources of energy. This review will help decision-makers and investors realize Bangladesh’s up-to-date solar energy scenario and plan better for the development of a sustainable society.
Access Routesgold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% 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/en15186790&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Md. Abdullah-Al-Mahbub;
Md. Abdullah-Al-Mahbub
Harvested from ORCID Public Data FileMd. Abdullah-Al-Mahbub in OpenAIRE Abu Reza Md. Towfiqul Islam; Abu Reza Md. Towfiqul Islam
Harvested from ORCID Public Data FileAbu Reza Md. Towfiqul Islam in OpenAIRE Hussein Almohamad; Ahmed Abdullah Al Dughairi; +2 AuthorsHussein Almohamad
Harvested from ORCID Public Data FileHussein Almohamad in OpenAIRE Md. Abdullah-Al-Mahbub; Md. Abdullah-Al-Mahbub
Harvested from ORCID Public Data FileMd. Abdullah-Al-Mahbub in OpenAIRE Abu Reza Md. Towfiqul Islam; Abu Reza Md. Towfiqul Islam
Harvested from ORCID Public Data FileAbu Reza Md. Towfiqul Islam in OpenAIRE Hussein Almohamad; Ahmed Abdullah Al Dughairi; Motrih Al-Mutiry;Hussein Almohamad
Harvested from ORCID Public Data FileHussein Almohamad in OpenAIRE Hazem Ghassan Abdo; Hazem Ghassan Abdo
Harvested from ORCID Public Data FileHazem Ghassan Abdo in OpenAIREGlobal fossil fuel reserves are declining due to differential uses, especially for power generation. Everybody can help to do their bit for the environment by using solar energy. Geographically, Bangladesh is a potential zone for harnessing solar energy. In March 2021, the renewable generation capacity in Bangladesh amounted to 722.592 MW, including 67.6% from solar, 31.84% from hydro, and 0.55% from other energy sources, including wind, biogas, and biomass, where 488.662 MW of power originated from over 6 million installed solar power systems. Concurrently, over 42% of rural people still suffer from a lack of electricity, where solar energy can play a vital role. This paper highlights the present status of various forms of solar energy progress in Bangladesh, such as solar parks, solar rooftops, solar irrigation, solar charging stations, solar home systems, solar-powered telecoms, solar street lights, and solar drinking water, which can be viable alternative sources of energy. This review will help decision-makers and investors realize Bangladesh’s up-to-date solar energy scenario and plan better for the development of a sustainable society.
Access Routesgold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% 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/en15186790&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
gold 14 citations 14 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/en10122021&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
gold 14 citations 14 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/en10122021&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 
Soler Sagarra, Joaquim; Soler Sagarra, Joaquim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSoler Sagarra, Joaquim in OpenAIRE Hakoun, Vivien; Hakoun, Vivien
Harvested from ORCID Public Data FileHakoun, Vivien in OpenAIRE Dentz, Marco; Dentz, Marco
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDentz, Marco in OpenAIRE Carrera, Jesús; Carrera, Jesús
Harvested from ORCID Public Data FileCarrera, Jesús in OpenAIREFinding a numerical method to model solute transport in porous media with high heterogeneity is crucial, especially when chemical reactions are involved. The phase space formulation termed the multi-advective water mixing approach (MAWMA) was proposed to address this issue. The water parcel method (WP) may be obtained by discretizing MAWMA in space, time, and velocity. WP needs two transition matrices of velocity to reproduce advection (Markovian in space) and mixing (Markovian in time), separately. The matrices express the transition probability of water instead of individual solute concentration. This entails a change in concept, since the entire transport phenomenon is defined by the water phase. Concentration is reduced to a chemical attribute. The water transition matrix is obtained and is demonstrated to be constant in time. Moreover, the WP method is compared with the classic random walk method (RW) in a high heterogeneous domain. Results show that the WP adequately reproduces advection and dispersion, but overestimates mixing because mixing is a sub-velocity phase process. The WP method must, therefore, be extended to take into account incomplete mixing within velocity classes.
Access RoutesGreen gold 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/en14206562&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Soler Sagarra, Joaquim;
Soler Sagarra, Joaquim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSoler Sagarra, Joaquim in OpenAIRE Hakoun, Vivien; Hakoun, Vivien
Harvested from ORCID Public Data FileHakoun, Vivien in OpenAIRE Dentz, Marco; Dentz, Marco
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDentz, Marco in OpenAIRE Carrera, Jesús; Carrera, Jesús
Harvested from ORCID Public Data FileCarrera, Jesús in OpenAIREFinding a numerical method to model solute transport in porous media with high heterogeneity is crucial, especially when chemical reactions are involved. The phase space formulation termed the multi-advective water mixing approach (MAWMA) was proposed to address this issue. The water parcel method (WP) may be obtained by discretizing MAWMA in space, time, and velocity. WP needs two transition matrices of velocity to reproduce advection (Markovian in space) and mixing (Markovian in time), separately. The matrices express the transition probability of water instead of individual solute concentration. This entails a change in concept, since the entire transport phenomenon is defined by the water phase. Concentration is reduced to a chemical attribute. The water transition matrix is obtained and is demonstrated to be constant in time. Moreover, the WP method is compared with the classic random walk method (RW) in a high heterogeneous domain. Results show that the WP adequately reproduces advection and dispersion, but overestimates mixing because mixing is a sub-velocity phase process. The WP method must, therefore, be extended to take into account incomplete mixing within velocity classes.
Access RoutesGreen gold 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/en14206562&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hancock, Stephen; Westover, Tyler;
Hancock, Stephen
Harvested from ORCID Public Data FileHancock, Stephen in OpenAIRENuclear power plants in the United States are increasingly challenged to compete in wholesale electricity markets due to the low electricity costs and increasingly dynamic grid conditions from competing generation sources. An alternative market for nuclear power is industrial facilities that can use the thermal and/or electrical power generated by a nuclear power plant to offset the economic losses incurred by electricity market challenges. A generic pressurized water reactor (PWR) simulator was used to show the results of a basic design for a generic thermal power extraction system and tests were run using a set of procedures to show what happens when a nuclear power plant transitions from full electrical power dispatch to 15% and 50% thermal power dispatch. This type of operation leads to losses in turbine performance efficiency due to the deviation from the design operating point, but because the thermal power is also used by the industry load without conversion losses, the combined thermal efficiency of the PWR increases. For the 15% case, the thermal efficiency increased from 32% to 41.9%, while for the 50% case, the efficiency increased up to 60.1%. In addition, for 50% thermal power dispatch, the power dissipated by the condenser decreased from approximately 2000 to approximately 1300 MW (thermal), indicating a substantially diminished impact on the environment in terms of releasing heat into the cooling water reservoir.
Access Routesgold 6 citations 6 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/en15031151&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hancock, Stephen; Westover, Tyler;
Hancock, Stephen
Harvested from ORCID Public Data FileHancock, Stephen in OpenAIRENuclear power plants in the United States are increasingly challenged to compete in wholesale electricity markets due to the low electricity costs and increasingly dynamic grid conditions from competing generation sources. An alternative market for nuclear power is industrial facilities that can use the thermal and/or electrical power generated by a nuclear power plant to offset the economic losses incurred by electricity market challenges. A generic pressurized water reactor (PWR) simulator was used to show the results of a basic design for a generic thermal power extraction system and tests were run using a set of procedures to show what happens when a nuclear power plant transitions from full electrical power dispatch to 15% and 50% thermal power dispatch. This type of operation leads to losses in turbine performance efficiency due to the deviation from the design operating point, but because the thermal power is also used by the industry load without conversion losses, the combined thermal efficiency of the PWR increases. For the 15% case, the thermal efficiency increased from 32% to 41.9%, while for the 50% case, the efficiency increased up to 60.1%. In addition, for 50% thermal power dispatch, the power dissipated by the condenser decreased from approximately 2000 to approximately 1300 MW (thermal), indicating a substantially diminished impact on the environment in terms of releasing heat into the cooling water reservoir.
Access Routesgold 6 citations 6 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/en15031151&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hannes Koch;
Hannes Koch
Harvested from ORCID Public Data FileHannes Koch in OpenAIRE Stefan Lechner; Sebastian Erdmann;Stefan Lechner
Harvested from ORCID Public Data FileStefan Lechner in OpenAIRE Martin Hofmann; Martin Hofmann
Harvested from ORCID Public Data FileMartin Hofmann in OpenAIREIn recent years, prices for photovoltaics have fallen steadily and the demand for sustainable energy has increased. Consequentially, the assessment of roof surfaces in terms of their suitability for PV (Photovoltaic) installations has continuously gained in importance. Several types of assessment approaches have been established, ranging from sampling to complete census or aerial image analysis methodologies. Assessments of rooftop photovoltaic potential are multi-stage processes. The sub-task of examining the photovoltaic potential of individual rooftops is crucial for exact case study results. However, this step is often time-consuming and requires lots of computational effort especially when some form of intelligent classification algorithm needs to be trained. This often leads to the use of sampled rooftop utilization factors when investigating large-scale areas of interest, as data-driven approaches usually are not well-scalable. In this paper, a novel neighbourhood-based filtering approach is introduced that can analyse large amounts of irradiation data in a vectorised manner. It is tested in an application to the city of Giessen, Germany, and its surrounding area. The results show that it outperforms state-of-the-art image filtering techniques. The algorithm is able to process high-resolution data covering 1 km2 within roughly 2.5 s. It successfully classifies rooftop segments which are feasible for PV installations while omitting small, obstructed or insufficiently exposed segments. Apart from minor shortcomings, the approach presented in this work is capable of generating per-rooftop PV potential assessments at low computational cost and is well scalable to large scale areas.
Access Routesgold 10 citations 10 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/en15196991&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hannes Koch;
Hannes Koch
Harvested from ORCID Public Data FileHannes Koch in OpenAIRE Stefan Lechner; Sebastian Erdmann;Stefan Lechner
Harvested from ORCID Public Data FileStefan Lechner in OpenAIRE Martin Hofmann; Martin Hofmann
Harvested from ORCID Public Data FileMartin Hofmann in OpenAIREIn recent years, prices for photovoltaics have fallen steadily and the demand for sustainable energy has increased. Consequentially, the assessment of roof surfaces in terms of their suitability for PV (Photovoltaic) installations has continuously gained in importance. Several types of assessment approaches have been established, ranging from sampling to complete census or aerial image analysis methodologies. Assessments of rooftop photovoltaic potential are multi-stage processes. The sub-task of examining the photovoltaic potential of individual rooftops is crucial for exact case study results. However, this step is often time-consuming and requires lots of computational effort especially when some form of intelligent classification algorithm needs to be trained. This often leads to the use of sampled rooftop utilization factors when investigating large-scale areas of interest, as data-driven approaches usually are not well-scalable. In this paper, a novel neighbourhood-based filtering approach is introduced that can analyse large amounts of irradiation data in a vectorised manner. It is tested in an application to the city of Giessen, Germany, and its surrounding area. The results show that it outperforms state-of-the-art image filtering techniques. The algorithm is able to process high-resolution data covering 1 km2 within roughly 2.5 s. It successfully classifies rooftop segments which are feasible for PV installations while omitting small, obstructed or insufficiently exposed segments. Apart from minor shortcomings, the approach presented in this work is capable of generating per-rooftop PV potential assessments at low computational cost and is well scalable to large scale areas.
Access Routesgold 10 citations 10 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/en15196991&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Wiem Fekih Hassen; Maher Challouf;
Wiem Fekih Hassen
Harvested from ORCID Public Data FileWiem Fekih Hassen in OpenAIREThe transition towards sustainable energy systems necessitates effective management of renewable energy sources alongside conventional grid infrastructure. This paper presents a comprehensive approach to optimizing grid management by integrating Photovoltaic (PV), wind, and grid energies to minimize costs and enhance sustainability. A key focus lies in developing an accurate scheduling algorithm utilizing Mixed Integer Programming (MIP), enabling dynamic allocation of energy resources to meet demand while minimizing reliance on cost-intensive grid energy. An ensemble learning technique, specifically a stacking algorithm, is employed to construct a robust forecasting pipeline for PV and wind energy generation. The forecasting model achieves remarkable accuracy with a Root Mean Squared Error (RMSE) of less than 0.1 for short-term (15 min and one day ahead) and long-term (one week and one month ahead) predictions. By combining optimization and forecasting methodologies, this research contributes to advancing grid management systems capable of harnessing renewable energy sources efficiently, thus facilitating cost savings and fostering sustainability in the energy sector.
Access Routesgold 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=10.3390/en17133145&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Wiem Fekih Hassen; Maher Challouf;
Wiem Fekih Hassen
Harvested from ORCID Public Data FileWiem Fekih Hassen in OpenAIREThe transition towards sustainable energy systems necessitates effective management of renewable energy sources alongside conventional grid infrastructure. This paper presents a comprehensive approach to optimizing grid management by integrating Photovoltaic (PV), wind, and grid energies to minimize costs and enhance sustainability. A key focus lies in developing an accurate scheduling algorithm utilizing Mixed Integer Programming (MIP), enabling dynamic allocation of energy resources to meet demand while minimizing reliance on cost-intensive grid energy. An ensemble learning technique, specifically a stacking algorithm, is employed to construct a robust forecasting pipeline for PV and wind energy generation. The forecasting model achieves remarkable accuracy with a Root Mean Squared Error (RMSE) of less than 0.1 for short-term (15 min and one day ahead) and long-term (one week and one month ahead) predictions. By combining optimization and forecasting methodologies, this research contributes to advancing grid management systems capable of harnessing renewable energy sources efficiently, thus facilitating cost savings and fostering sustainability in the energy sector.
Access Routesgold 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=10.3390/en17133145&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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