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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.
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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=od______1590::668d33907c79b19dc4b1d9932ab59a77&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 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=od______1590::668d33907c79b19dc4b1d9932ab59a77&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 
Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE
Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; +17 AuthorsKarla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; Karla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Will Usher; Will Usher
Harvested from ORCID Public Data FileWill Usher in OpenAIRE Steve Pye; Steve Pye
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteve Pye in OpenAIRE Edward Brown; Edward Brown
Harvested from ORCID Public Data FileEdward Brown in OpenAIRE Mark Howells; Mark Howells
Harvested from ORCID Public Data FileMark Howells in OpenAIRE Constantinos Taliotis; Caroline Sundin;Constantinos Taliotis
Harvested from ORCID Public Data FileConstantinos Taliotis in OpenAIRE Vignesh Sridha; Vignesh Sridha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVignesh Sridha in OpenAIRE Eunice Ramos; Eunice Ramos
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEunice Ramos in OpenAIRE Maarten Brinkerink; Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona;Paul Deane
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPaul Deane in OpenAIRE Holger Rogner; Holger Rogner
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHolger Rogner in OpenAIRE Stephanie Hirmer; Stephanie Hirmer
Harvested from ORCID Public Data FileStephanie Hirmer in OpenAIREAbstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. This article therefore provides data that can be used to create a simple zero order energy system model for Mauritania, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost ) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
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=10.21203/rs.3.rs-479591/v2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Lucy Allington;
Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; +17 AuthorsKarla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; Karla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Will Usher; Will Usher
Harvested from ORCID Public Data FileWill Usher in OpenAIRE Steve Pye; Steve Pye
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteve Pye in OpenAIRE Edward Brown; Edward Brown
Harvested from ORCID Public Data FileEdward Brown in OpenAIRE Mark Howells; Mark Howells
Harvested from ORCID Public Data FileMark Howells in OpenAIRE Constantinos Taliotis; Caroline Sundin;Constantinos Taliotis
Harvested from ORCID Public Data FileConstantinos Taliotis in OpenAIRE Vignesh Sridha; Vignesh Sridha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVignesh Sridha in OpenAIRE Eunice Ramos; Eunice Ramos
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEunice Ramos in OpenAIRE Maarten Brinkerink; Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona;Paul Deane
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPaul Deane in OpenAIRE Holger Rogner; Holger Rogner
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHolger Rogner in OpenAIRE Stephanie Hirmer; Stephanie Hirmer
Harvested from ORCID Public Data FileStephanie Hirmer in OpenAIREAbstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. This article therefore provides data that can be used to create a simple zero order energy system model for Mauritania, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost ) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
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=10.21203/rs.3.rs-479591/v2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - M.K. Abohamer; J. Awrejcewicz;
M.K. Abohamer
Harvested from ORCID Public Data FileM.K. Abohamer in OpenAIRE T.S. Amer; This paper studies the vibrational motion of a dynamical system connected to an electromagnetic device, which is one of the energy harvesting (EH) devices that transform the vibrational motion into electric energy. This system has three degrees-of-freedom (DOF) and consists of two linked parts attached together; one is a nonlinear Duffing oscillator, and the other is a nonlinear damping spring pendulum. The regulating equations of motion (EOM) are achieved utilizing Lagrange’s equations and solved analytically applying the approach of multiple scales (AMS) till the third order of approximation. The accuracy of the attained solutions has been examined by comparing them with the numerical ones of the EOM. The time histories of the solutions and the nonlinear stability analysis of the modulation equations are represented graphically in various plots. The Poincaré maps and phase portraits diagrams displayed the stable behavior of the studied dynamical system. In addition, the different ranges of the stabilities are examined and discussed. In the electromagnetic device, the output power and current time series are depicted as a function of different values of the damping coefficients, excitation amplitudes, and load resistance. It is noted that the output current and power are dropped when the damping coefficient is raised. On the other hand, the increment of the excitation has a positive effect on the electrical generation and produces increment of the output power and current. Furthermore, the output power grows when the total resistance increases to accommodate the applied load. The EH device generates high output current and power at low-frequency values. The significance of this work is limited to the numerous uses of its outcomes in everyday life, such as powering medical devices, serving as a power supply for sensors, and serving as a backup energy source for some electronic devices.
Access Routesgold 34 citations 34 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=10.1016/j.aej.2022.08.008&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - M.K. Abohamer; J. Awrejcewicz;
M.K. Abohamer
Harvested from ORCID Public Data FileM.K. Abohamer in OpenAIRE T.S. Amer; This paper studies the vibrational motion of a dynamical system connected to an electromagnetic device, which is one of the energy harvesting (EH) devices that transform the vibrational motion into electric energy. This system has three degrees-of-freedom (DOF) and consists of two linked parts attached together; one is a nonlinear Duffing oscillator, and the other is a nonlinear damping spring pendulum. The regulating equations of motion (EOM) are achieved utilizing Lagrange’s equations and solved analytically applying the approach of multiple scales (AMS) till the third order of approximation. The accuracy of the attained solutions has been examined by comparing them with the numerical ones of the EOM. The time histories of the solutions and the nonlinear stability analysis of the modulation equations are represented graphically in various plots. The Poincaré maps and phase portraits diagrams displayed the stable behavior of the studied dynamical system. In addition, the different ranges of the stabilities are examined and discussed. In the electromagnetic device, the output power and current time series are depicted as a function of different values of the damping coefficients, excitation amplitudes, and load resistance. It is noted that the output current and power are dropped when the damping coefficient is raised. On the other hand, the increment of the excitation has a positive effect on the electrical generation and produces increment of the output power and current. Furthermore, the output power grows when the total resistance increases to accommodate the applied load. The EH device generates high output current and power at low-frequency values. The significance of this work is limited to the numerous uses of its outcomes in everyday life, such as powering medical devices, serving as a power supply for sensors, and serving as a backup energy source for some electronic devices.
Access Routesgold 34 citations 34 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=10.1016/j.aej.2022.08.008&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - SNSF| Search for New Physics in Electroweak Penguin Transitions at LHCb ,SNSF| High Precision CP Violation Physics at LHCb ,SNSF| Particle Physics in the LHC EraAlexey Novoselov; J. Magnin; V. N. La Thi; Naylya Sagidova; Antonio Falabella; Albert Bursche; M. Matveev; Evelina Gersabeck;
Evelina Gersabeck
Harvested from ORCID Public Data FileEvelina Gersabeck in OpenAIRE V. Tisserand; Maximilian Schlupp;V. Tisserand
Harvested from ORCID Public Data FileV. Tisserand in OpenAIRE C. Potterat; C. Potterat
Harvested from ORCID Public Data FileC. Potterat in OpenAIRE Cristina Lazzeroni; U. Kerzel; Marie Helene Schune; B. Schmidt;Cristina Lazzeroni
Harvested from ORCID Public Data FileCristina Lazzeroni in OpenAIRE C. J. Parkinson; C. J. Parkinson
Harvested from ORCID Public Data FileC. J. Parkinson in OpenAIRE B. Sciascia; F. Xing; G. N. Patrick; Massimiliano Ferro-Luzzi;B. Sciascia
Harvested from ORCID Public Data FileB. Sciascia in OpenAIRE R. Vazquez Gomez; P. M. Bjørnstad; O. Francisco; J. Dickens; B. Pietrzyk; Jessica Prisciandaro; J. Buytaert; Nazim Hussain; Marcin Kucharczyk; Marcin Kucharczyk; Marcin Kucharczyk;R. Vazquez Gomez
Harvested from ORCID Public Data FileR. Vazquez Gomez in OpenAIRE T. E. Latham; I. R. Kenyon; H. Ruiz;T. E. Latham
Harvested from ORCID Public Data FileT. E. Latham in OpenAIRE D. Souza; F. Eisele; Th. S. Bauer; E. van Herwijnen; A. Bates; N. A. Smith; R. Silva Coutinho; Marc-Olivier Bettler; Alessia Satta; J. Anderson; Leonid Kravchuk; C. D'Ambrosio; D. Savrina; J. Panman; Manuel Schiller; Z. Mathe; Alexey Zhelezov;Manuel Schiller
Harvested from ORCID Public Data FileManuel Schiller in OpenAIRE E. Grauges; Timothy Gershon; Timothy Gershon; S. C. Haines; David Ward;E. Grauges
Harvested from ORCID Public Data FileE. Grauges in OpenAIRE A. Puig Navarro; D. Wiedner; T. Huse; K. Hennessy; P. Rodriguez Perez; Andrey Vorobyev; Po-Hsun Chen; Po-Hsun Chen;A. Puig Navarro
Harvested from ORCID Public Data FileA. Puig Navarro in OpenAIRE Evgeny Gushchin; Jack Benton; Sebastian Bachmann; R. S. Huston; H. Dijkstra; A. D. Nguyen; Gregory Ciezarek; N. Chiapolini; A. Borgia;Evgeny Gushchin
Harvested from ORCID Public Data FileEvgeny Gushchin in OpenAIRE Adriano Lai; S. Eidelman; Ronan McNulty; Daniel Lacarrere; J. Rouvinet; Krzysztof Grzegorz Sobczak; Minh Tâm Tran; A. D. Webber;Adriano Lai
Harvested from ORCID Public Data FileAdriano Lai in OpenAIRE T. Lesiak; Y.Y. Li; Mikhail Zavertyaev; Ph. Charpentier; Ronan Wallace;Mikhail Zavertyaev
Harvested from ORCID Public Data FileMikhail Zavertyaev in OpenAIRE Giulia Manca; Marcin Chrzaszcz; P. Diniz Batista; Dmitry Popov; C. Voß;Giulia Manca
Harvested from ORCID Public Data FileGiulia Manca in OpenAIRE V. V. Gligorov; V. V. Gligorov
Harvested from ORCID Public Data FileV. V. Gligorov in OpenAIRE Ivan Belyaev; Ivan Belyaev
Harvested from ORCID Public Data FileIvan Belyaev in OpenAIRE Andrey Golutvin; Andrey Golutvin; Andrey Golutvin; W. Witzeling;Andrey Golutvin
Harvested from ORCID Public Data FileAndrey Golutvin in OpenAIRE Alessandro Petrolini; Alessandro Petrolini
Harvested from ORCID Public Data FileAlessandro Petrolini in OpenAIRE J. van Tilburg; Thomas Blake;J. van Tilburg
Harvested from ORCID Public Data FileJ. van Tilburg in OpenAIRE A. Nomerotski; A. Nomerotski;A. Nomerotski
Harvested from ORCID Public Data FileA. Nomerotski in OpenAIRE R. Lefèvre; V.G. Shevchenko; Jing Wang; Robert Currie;R. Lefèvre
Harvested from ORCID Public Data FileR. Lefèvre in OpenAIRE S. Roiser; Rustem Dzhelyadin; Edwige Tournefier; Edwige Tournefier; K. De Bruyn; A. Gomes; Giacomo Graziani; A. Richards; Marc S. Williams; Patrick Owen; A. Palano; Piotr Morawski; J. P. Lees; P. Shatalov; T. Brambach;Patrick Owen
Harvested from ORCID Public Data FilePatrick Owen in OpenAIRE M. Seco; Nikolay Bondar; Marco Clemencic; K. Ciba; E. Lanciotti; Iurii Raniuk; P. Henrard; G. Raven; C. Langenbruch; V. Fave; Andrew Cook; G. D. Patel; Miriam Gandelman; S. Belogurov; Harry Cliff; Sandra Amato; David Websdale; F. Dupertuis; O. Kochebina; V. A. Kudryavtsev; Neville Harnew; E. Ben-Haim;V. A. Kudryavtsev
Harvested from ORCID Public Data FileV. A. Kudryavtsev in OpenAIRE Olaf Steinkamp; Oleg Yushchenko; Haonan Lu; Chung Nguyen-Mau; A. Camboni; Oliver Grünberg; Ilya Komarov; J. A. Hernando Morata;Olaf Steinkamp
Harvested from ORCID Public Data FileOlaf Steinkamp in OpenAIRE Roberta Santacesaria; Carla Göbel;Roberta Santacesaria
Harvested from ORCID Public Data FileRoberta Santacesaria in OpenAIRE Francesca Dordei; Francesca Dordei
Harvested from ORCID Public Data FileFrancesca Dordei in OpenAIRE Daniel Charles Craik; Daniel Charles Craik
Harvested from ORCID Public Data FileDaniel Charles Craik in OpenAIRE J. J. Saborido Silva; J. J. Saborido Silva
Harvested from ORCID Public Data FileJ. J. Saborido Silva in OpenAIRE D. A. Milanes; S. Schleich; A. Sparkes; Rolf Lindner; Vitaly Vorobyev; T. M. Karbach; A. Dosil Suárez; Hamish Gordon; M. Whitehead;D. A. Milanes
Harvested from ORCID Public Data FileD. A. Milanes in OpenAIRE Giampiero Mancinelli; L. A. Granado Cardoso;Giampiero Mancinelli
Harvested from ORCID Public Data FileGiampiero Mancinelli in OpenAIRE Biagio Saitta; Mehul Patel;Biagio Saitta
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBiagio Saitta in OpenAIRE A. N. Solomin; A. N. Solomin
Harvested from ORCID Public Data FileA. N. Solomin in OpenAIRE D. Gascon; D. Voong; X. Cid Vidal; Lain-Jong Li; Thierry Gys; R. Muresan; E. Teodorescu; Tjeerd Ketel; T. Pilař; Guy Wilkinson; Thomas Ruf;X. Cid Vidal
Harvested from ORCID Public Data FileX. Cid Vidal in OpenAIRE V. Obraztsov; V. Obraztsov
Harvested from ORCID Public Data FileV. Obraztsov in OpenAIRE Vincenzo Vagnoni; B. Gui; J. Mylroie-Smith; Oleg Maev; Oleg Maev; M. Calvi; A. Martens;Vincenzo Vagnoni
Harvested from ORCID Public Data FileVincenzo Vagnoni in OpenAIRE Paolo Gandini; Pierluigi Campana; Raymond Mountain; A. Mac Raighne;Paolo Gandini
Harvested from ORCID Public Data FilePaolo Gandini in OpenAIRE Konstantin Belous; Mikhail Shapkin;Konstantin Belous
Harvested from ORCID Public Data FileKonstantin Belous in OpenAIRE A. A. Alves; D. Elsby;A. A. Alves
Harvested from ORCID Public Data FileA. A. Alves in OpenAIRE G. D. Lafferty; D. van Eijk; C. Hadjivasiliou;G. D. Lafferty
Harvested from ORCID Public Data FileG. D. Lafferty in OpenAIREThe charged-particle production ratios $\bar{p}/p$, $K^-/K^+$, $��^-/��^+$, $(p + \bar{p})/(��^+ + ��^-)$, $(K^+ + K^-)/(��^+ + ��^-)$ and $(p + \bar{p})/(K^+ + K^-)$ are measured with the LHCb detector using $0.3 {\rm nb^{-1}}$ of $pp$ collisions delivered by the LHC at $\sqrt{s} = 0.9$ TeV and $1.8 {\rm nb^{-1}}$ at $\sqrt{s} = 7$ TeV. The measurements are performed as a function of transverse momentum $p_{\rm T}$ and pseudorapidity $��$. The production ratios are compared to the predictions of several Monte Carlo generator settings, none of which are able to describe adequately all observables. The ratio $\bar{p}/p$ is also considered as a function of rapidity loss, $��y \equiv y_{\rm beam} - y$, and is used to constrain models of baryon transport. Incorrect entries in Table 2 corrected. No consequences for rest of paper
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=10.1140/epjc/s10052-012-2168-x&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - SNSF| Search for New Physics in Electroweak Penguin Transitions at LHCb ,SNSF| High Precision CP Violation Physics at LHCb ,SNSF| Particle Physics in the LHC EraAlexey Novoselov; J. Magnin; V. N. La Thi; Naylya Sagidova; Antonio Falabella; Albert Bursche; M. Matveev; Evelina Gersabeck;
Evelina Gersabeck
Harvested from ORCID Public Data FileEvelina Gersabeck in OpenAIRE V. Tisserand; Maximilian Schlupp;V. Tisserand
Harvested from ORCID Public Data FileV. Tisserand in OpenAIRE C. Potterat; C. Potterat
Harvested from ORCID Public Data FileC. Potterat in OpenAIRE Cristina Lazzeroni; U. Kerzel; Marie Helene Schune; B. Schmidt;Cristina Lazzeroni
Harvested from ORCID Public Data FileCristina Lazzeroni in OpenAIRE C. J. Parkinson; C. J. Parkinson
Harvested from ORCID Public Data FileC. J. Parkinson in OpenAIRE B. Sciascia; F. Xing; G. N. Patrick; Massimiliano Ferro-Luzzi;B. Sciascia
Harvested from ORCID Public Data FileB. Sciascia in OpenAIRE R. Vazquez Gomez; P. M. Bjørnstad; O. Francisco; J. Dickens; B. Pietrzyk; Jessica Prisciandaro; J. Buytaert; Nazim Hussain; Marcin Kucharczyk; Marcin Kucharczyk; Marcin Kucharczyk;R. Vazquez Gomez
Harvested from ORCID Public Data FileR. Vazquez Gomez in OpenAIRE T. E. Latham; I. R. Kenyon; H. Ruiz;T. E. Latham
Harvested from ORCID Public Data FileT. E. Latham in OpenAIRE D. Souza; F. Eisele; Th. S. Bauer; E. van Herwijnen; A. Bates; N. A. Smith; R. Silva Coutinho; Marc-Olivier Bettler; Alessia Satta; J. Anderson; Leonid Kravchuk; C. D'Ambrosio; D. Savrina; J. Panman; Manuel Schiller; Z. Mathe; Alexey Zhelezov;Manuel Schiller
Harvested from ORCID Public Data FileManuel Schiller in OpenAIRE E. Grauges; Timothy Gershon; Timothy Gershon; S. C. Haines; David Ward;E. Grauges
Harvested from ORCID Public Data FileE. Grauges in OpenAIRE A. Puig Navarro; D. Wiedner; T. Huse; K. Hennessy; P. Rodriguez Perez; Andrey Vorobyev; Po-Hsun Chen; Po-Hsun Chen;A. Puig Navarro
Harvested from ORCID Public Data FileA. Puig Navarro in OpenAIRE Evgeny Gushchin; Jack Benton; Sebastian Bachmann; R. S. Huston; H. Dijkstra; A. D. Nguyen; Gregory Ciezarek; N. Chiapolini; A. Borgia;Evgeny Gushchin
Harvested from ORCID Public Data FileEvgeny Gushchin in OpenAIRE Adriano Lai; S. Eidelman; Ronan McNulty; Daniel Lacarrere; J. Rouvinet; Krzysztof Grzegorz Sobczak; Minh Tâm Tran; A. D. Webber;Adriano Lai
Harvested from ORCID Public Data FileAdriano Lai in OpenAIRE T. Lesiak; Y.Y. Li; Mikhail Zavertyaev; Ph. Charpentier; Ronan Wallace;Mikhail Zavertyaev
Harvested from ORCID Public Data FileMikhail Zavertyaev in OpenAIRE Giulia Manca; Marcin Chrzaszcz; P. Diniz Batista; Dmitry Popov; C. Voß;Giulia Manca
Harvested from ORCID Public Data FileGiulia Manca in OpenAIRE V. V. Gligorov; V. V. Gligorov
Harvested from ORCID Public Data FileV. V. Gligorov in OpenAIRE Ivan Belyaev; Ivan Belyaev
Harvested from ORCID Public Data FileIvan Belyaev in OpenAIRE Andrey Golutvin; Andrey Golutvin; Andrey Golutvin; W. Witzeling;Andrey Golutvin
Harvested from ORCID Public Data FileAndrey Golutvin in OpenAIRE Alessandro Petrolini; Alessandro Petrolini
Harvested from ORCID Public Data FileAlessandro Petrolini in OpenAIRE J. van Tilburg; Thomas Blake;J. van Tilburg
Harvested from ORCID Public Data FileJ. van Tilburg in OpenAIRE A. Nomerotski; A. Nomerotski;A. Nomerotski
Harvested from ORCID Public Data FileA. Nomerotski in OpenAIRE R. Lefèvre; V.G. Shevchenko; Jing Wang; Robert Currie;R. Lefèvre
Harvested from ORCID Public Data FileR. Lefèvre in OpenAIRE S. Roiser; Rustem Dzhelyadin; Edwige Tournefier; Edwige Tournefier; K. De Bruyn; A. Gomes; Giacomo Graziani; A. Richards; Marc S. Williams; Patrick Owen; A. Palano; Piotr Morawski; J. P. Lees; P. Shatalov; T. Brambach;Patrick Owen
Harvested from ORCID Public Data FilePatrick Owen in OpenAIRE M. Seco; Nikolay Bondar; Marco Clemencic; K. Ciba; E. Lanciotti; Iurii Raniuk; P. Henrard; G. Raven; C. Langenbruch; V. Fave; Andrew Cook; G. D. Patel; Miriam Gandelman; S. Belogurov; Harry Cliff; Sandra Amato; David Websdale; F. Dupertuis; O. Kochebina; V. A. Kudryavtsev; Neville Harnew; E. Ben-Haim;V. A. Kudryavtsev
Harvested from ORCID Public Data FileV. A. Kudryavtsev in OpenAIRE Olaf Steinkamp; Oleg Yushchenko; Haonan Lu; Chung Nguyen-Mau; A. Camboni; Oliver Grünberg; Ilya Komarov; J. A. Hernando Morata;Olaf Steinkamp
Harvested from ORCID Public Data FileOlaf Steinkamp in OpenAIRE Roberta Santacesaria; Carla Göbel;Roberta Santacesaria
Harvested from ORCID Public Data FileRoberta Santacesaria in OpenAIRE Francesca Dordei; Francesca Dordei
Harvested from ORCID Public Data FileFrancesca Dordei in OpenAIRE Daniel Charles Craik; Daniel Charles Craik
Harvested from ORCID Public Data FileDaniel Charles Craik in OpenAIRE J. J. Saborido Silva; J. J. Saborido Silva
Harvested from ORCID Public Data FileJ. J. Saborido Silva in OpenAIRE D. A. Milanes; S. Schleich; A. Sparkes; Rolf Lindner; Vitaly Vorobyev; T. M. Karbach; A. Dosil Suárez; Hamish Gordon; M. Whitehead;D. A. Milanes
Harvested from ORCID Public Data FileD. A. Milanes in OpenAIRE Giampiero Mancinelli; L. A. Granado Cardoso;Giampiero Mancinelli
Harvested from ORCID Public Data FileGiampiero Mancinelli in OpenAIRE Biagio Saitta; Mehul Patel;Biagio Saitta
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBiagio Saitta in OpenAIRE A. N. Solomin; A. N. Solomin
Harvested from ORCID Public Data FileA. N. Solomin in OpenAIRE D. Gascon; D. Voong; X. Cid Vidal; Lain-Jong Li; Thierry Gys; R. Muresan; E. Teodorescu; Tjeerd Ketel; T. Pilař; Guy Wilkinson; Thomas Ruf;X. Cid Vidal
Harvested from ORCID Public Data FileX. Cid Vidal in OpenAIRE V. Obraztsov; V. Obraztsov
Harvested from ORCID Public Data FileV. Obraztsov in OpenAIRE Vincenzo Vagnoni; B. Gui; J. Mylroie-Smith; Oleg Maev; Oleg Maev; M. Calvi; A. Martens;Vincenzo Vagnoni
Harvested from ORCID Public Data FileVincenzo Vagnoni in OpenAIRE Paolo Gandini; Pierluigi Campana; Raymond Mountain; A. Mac Raighne;Paolo Gandini
Harvested from ORCID Public Data FilePaolo Gandini in OpenAIRE Konstantin Belous; Mikhail Shapkin;Konstantin Belous
Harvested from ORCID Public Data FileKonstantin Belous in OpenAIRE A. A. Alves; D. Elsby;A. A. Alves
Harvested from ORCID Public Data FileA. A. Alves in OpenAIRE G. D. Lafferty; D. van Eijk; C. Hadjivasiliou;G. D. Lafferty
Harvested from ORCID Public Data FileG. D. Lafferty in OpenAIREThe charged-particle production ratios $\bar{p}/p$, $K^-/K^+$, $��^-/��^+$, $(p + \bar{p})/(��^+ + ��^-)$, $(K^+ + K^-)/(��^+ + ��^-)$ and $(p + \bar{p})/(K^+ + K^-)$ are measured with the LHCb detector using $0.3 {\rm nb^{-1}}$ of $pp$ collisions delivered by the LHC at $\sqrt{s} = 0.9$ TeV and $1.8 {\rm nb^{-1}}$ at $\sqrt{s} = 7$ TeV. The measurements are performed as a function of transverse momentum $p_{\rm T}$ and pseudorapidity $��$. The production ratios are compared to the predictions of several Monte Carlo generator settings, none of which are able to describe adequately all observables. The ratio $\bar{p}/p$ is also considered as a function of rapidity loss, $��y \equiv y_{\rm beam} - y$, and is used to constrain models of baryon transport. Incorrect entries in Table 2 corrected. No consequences for rest of paper
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=10.1140/epjc/s10052-012-2168-x&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
bronze 4 citations 4 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=10.5547/01956574.44.4.sbar&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
bronze 4 citations 4 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=10.5547/01956574.44.4.sbar&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Krzysztof Kecik; Ewelina Stezycka;
Krzysztof Kecik
Harvested from ORCID Public Data FileKrzysztof Kecik in OpenAIREEnergy harvesting is a useful technique for various kinds of self-powered electronic devices and systems as well as Internet of Things technology. This study presents a two-degrees-of-freedom (2DOF) electromagnetic energy harvester that can use environment vibration and provide energy for small electronic devices. The proposed harvester consists of a cylindrical tube with two moving magnets suspended by a magnetic spring mechanism and a stationary coil. In order to verify the theoretical model, a prototype electromagnetic harvester was constructed and tested. The influence of key parameters, including excitation acceleration, response to a harmonic frequency sweep, and electromechanical coupling on the generated characteristics of the harvester, was investigated. The experimental and theoretical results showed that the proposed electromagnetic energy harvester was able to increase the resonance bandwidth (60–1200 rad/s) and output power (0.2 W). However, due to strong nonlinearity, an unstable region occurred near the main first resonance, which resulted from the Neimark–Sacker bifurcation.
Access Routesgold 7 citations 7 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/app13137613&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Krzysztof Kecik; Ewelina Stezycka;
Krzysztof Kecik
Harvested from ORCID Public Data FileKrzysztof Kecik in OpenAIREEnergy harvesting is a useful technique for various kinds of self-powered electronic devices and systems as well as Internet of Things technology. This study presents a two-degrees-of-freedom (2DOF) electromagnetic energy harvester that can use environment vibration and provide energy for small electronic devices. The proposed harvester consists of a cylindrical tube with two moving magnets suspended by a magnetic spring mechanism and a stationary coil. In order to verify the theoretical model, a prototype electromagnetic harvester was constructed and tested. The influence of key parameters, including excitation acceleration, response to a harmonic frequency sweep, and electromechanical coupling on the generated characteristics of the harvester, was investigated. The experimental and theoretical results showed that the proposed electromagnetic energy harvester was able to increase the resonance bandwidth (60–1200 rad/s) and output power (0.2 W). However, due to strong nonlinearity, an unstable region occurred near the main first resonance, which resulted from the Neimark–Sacker bifurcation.
Access Routesgold 7 citations 7 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/app13137613&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Gay-antaki, Miriam; Liverman, Diana;
Gay-antaki, Miriam
Harvested from ORCID Public Data FileGay-antaki, Miriam in OpenAIRESignificance Women in science face barriers to professional advancement. One of the most important forums for international climate science is the Intergovernmental Panel on Climate Change, where there has been a slow increase in the proportion of women authors since the first assessment in 1990. Our survey of more than 100 female Intergovernmental Panel on Climate Change authors explores their experience and perceptions, the barriers to their full participation that they identify, and recommendations for improvements. While we find that some women reported a positive experience, others felt women were poorly represented and heard and encountered barriers beyond their gender including race, nationality, command of English, and discipline. The study contributes to the larger literature on gender and science and provides recommendations for greater inclusion.
Access RoutesGreen hybrid 70 citations 70 popularity Top 1% 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=10.1073/pnas.1710271115&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Gay-antaki, Miriam; Liverman, Diana;
Gay-antaki, Miriam
Harvested from ORCID Public Data FileGay-antaki, Miriam in OpenAIRESignificance Women in science face barriers to professional advancement. One of the most important forums for international climate science is the Intergovernmental Panel on Climate Change, where there has been a slow increase in the proportion of women authors since the first assessment in 1990. Our survey of more than 100 female Intergovernmental Panel on Climate Change authors explores their experience and perceptions, the barriers to their full participation that they identify, and recommendations for improvements. While we find that some women reported a positive experience, others felt women were poorly represented and heard and encountered barriers beyond their gender including race, nationality, command of English, and discipline. The study contributes to the larger literature on gender and science and provides recommendations for greater inclusion.
Access RoutesGreen hybrid 70 citations 70 popularity Top 1% 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=10.1073/pnas.1710271115&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rona, Aldo;
Rona, Aldo
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRona, Aldo in OpenAIRE Kadhim, Hakim Tarteeb Kadhim; Jabbar, Faris A.;Kadhim, Hakim Tarteeb Kadhim
Harvested from ORCID Public Data FileKadhim, Hakim Tarteeb Kadhim in OpenAIREA parametric numerical investigation is performed of the natural convection and heat transfer in an enclosure with opposing wavy walls, layered by a porous medium, saturated by a hybrid nanofluid, at different inclination angles. The Galerkin finite element method is used to obtain steady-state solutions of the heat and mass convection laws by application of the semi-implicit method for pressure linked equations algorithm. The Darcy-Brinkman model is used for representing the state variables change in the porous layer. The influence of six parameters on the flow and heat transfer rate is described. These are the inclination angle, varied from 0o to 90o, the Rayleigh number (104 ≤ 𝑅𝑎 ≤ 107), the Darcy number (10-5 ≤ 𝐷𝑎 ≤ 10-2), the porous layer width (0.2 ≤ 𝑊p ≤ 0.8), the number of undulation (1≤ 𝑁 ≤ 4), and the nanoparticle volume fraction (0 ≤ 𝜙 ≤ 0.2). It is found that the inclination angle is a very influential control parameter for the hybrid nanofluid in the enclosure. Its effect is modulated by the other parameters. The model predicts that adding the nanoparticles enhances the heat transfer between the opposing walls of the cell compared to the pure fluid over the whole range of inclination angles. Finally, a comparison of the heat transfer enhancement based on the suspension of Al2O3 nanoparticles in water as a single nanofluid versus using Cu-Al2O3 nanoparticles in water as a hybrid nanofluid indicates better heat transfer performance by the hybrid nanofluid.
Access RoutesGreen 71 citations 71 popularity Top 1% 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=10.1016/j.ijmecsci.2020.105889&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rona, Aldo;
Rona, Aldo
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRona, Aldo in OpenAIRE Kadhim, Hakim Tarteeb Kadhim; Jabbar, Faris A.;Kadhim, Hakim Tarteeb Kadhim
Harvested from ORCID Public Data FileKadhim, Hakim Tarteeb Kadhim in OpenAIREA parametric numerical investigation is performed of the natural convection and heat transfer in an enclosure with opposing wavy walls, layered by a porous medium, saturated by a hybrid nanofluid, at different inclination angles. The Galerkin finite element method is used to obtain steady-state solutions of the heat and mass convection laws by application of the semi-implicit method for pressure linked equations algorithm. The Darcy-Brinkman model is used for representing the state variables change in the porous layer. The influence of six parameters on the flow and heat transfer rate is described. These are the inclination angle, varied from 0o to 90o, the Rayleigh number (104 ≤ 𝑅𝑎 ≤ 107), the Darcy number (10-5 ≤ 𝐷𝑎 ≤ 10-2), the porous layer width (0.2 ≤ 𝑊p ≤ 0.8), the number of undulation (1≤ 𝑁 ≤ 4), and the nanoparticle volume fraction (0 ≤ 𝜙 ≤ 0.2). It is found that the inclination angle is a very influential control parameter for the hybrid nanofluid in the enclosure. Its effect is modulated by the other parameters. The model predicts that adding the nanoparticles enhances the heat transfer between the opposing walls of the cell compared to the pure fluid over the whole range of inclination angles. Finally, a comparison of the heat transfer enhancement based on the suspension of Al2O3 nanoparticles in water as a single nanofluid versus using Cu-Al2O3 nanoparticles in water as a hybrid nanofluid indicates better heat transfer performance by the hybrid nanofluid.
Access RoutesGreen 71 citations 71 popularity Top 1% 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=10.1016/j.ijmecsci.2020.105889&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Viktor Józsa;
Viktor Józsa
Harvested from ORCID Public Data FileViktor Józsa in OpenAIRE Gyöngyvér Hidegh; Attila Kun-Balog;Gyöngyvér Hidegh
Harvested from ORCID Public Data FileGyöngyvér Hidegh in OpenAIRE Jo-Han Ng; +1 Authors Viktor Józsa; Viktor Józsa
Harvested from ORCID Public Data FileViktor Józsa in OpenAIRE Gyöngyvér Hidegh; Attila Kun-Balog;Gyöngyvér Hidegh
Harvested from ORCID Public Data FileGyöngyvér Hidegh in OpenAIRE Jo-Han Ng; Cheng Tung Chong; Cheng Tung Chong
Harvested from ORCID Public Data FileCheng Tung Chong in OpenAIREAbstract Liquid fuels are likely to remain the main energy source in long-range transportation and aviation for several decades. To reduce our dependence on fossil fuels, liquid biofuels can be blended to fossil fuels – or used purely. In this paper, coconut methyl ester, standard diesel fuel (EN590:2017), and their blends were investigated in 25 V/V% steps. A novel turbulent combustion chamber was developed to facilitate combustion in a large volume that leads to ultra-low emissions. The combustion power of the swirl burner was 13.3 kW, and the air-to-fuel equivalence ratio was 1.25. Two parameters, combustion air preheating temperature and atomizing air pressure were adjusted in the range of 150–350 °C and 0.3–0.9 bar, respectively. Both straight and lifted flames were observed. The closed, atmospheric combustion chamber resulted in CO emission below 10 ppm in the majority of the cases. NO emission varied between 60 and 183 ppm at straight flame cases and decreased below 20 ppm when the flame was lifted since the combustion occurred in a large volume. This operation mode fulfills the 2015/2193/EU directive for gas combustion by 25%, which is twice as strict as liquid fuel combustion regulations. The 90% NO emission reduction was also concluded when compared to a lean premixed prevaporized burner under similar conditions. This favorable operation mode was named as Mixture Temperature-Controlled (MTC) Combustion. The chemiluminescent emission of lifted flames was also low, however, the OH* emission of straight flames was clearly observable and followed the trends of NO emission. The MTC mode may lead to significantly decreased pollutant emission of steady-operating devices like boilers, furnaces, and both aviation and industrial gas turbines, meaning an outstanding contribution to more environmentally friendly technologies.
Access Routeshybrid 17 citations 17 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=10.1016/j.enconman.2020.112908&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Viktor Józsa;
Viktor Józsa
Harvested from ORCID Public Data FileViktor Józsa in OpenAIRE Gyöngyvér Hidegh; Attila Kun-Balog;Gyöngyvér Hidegh
Harvested from ORCID Public Data FileGyöngyvér Hidegh in OpenAIRE Jo-Han Ng; +1 Authors Viktor Józsa; Viktor Józsa
Harvested from ORCID Public Data FileViktor Józsa in OpenAIRE Gyöngyvér Hidegh; Attila Kun-Balog;Gyöngyvér Hidegh
Harvested from ORCID Public Data FileGyöngyvér Hidegh in OpenAIRE Jo-Han Ng; Cheng Tung Chong; Cheng Tung Chong
Harvested from ORCID Public Data FileCheng Tung Chong in OpenAIREAbstract Liquid fuels are likely to remain the main energy source in long-range transportation and aviation for several decades. To reduce our dependence on fossil fuels, liquid biofuels can be blended to fossil fuels – or used purely. In this paper, coconut methyl ester, standard diesel fuel (EN590:2017), and their blends were investigated in 25 V/V% steps. A novel turbulent combustion chamber was developed to facilitate combustion in a large volume that leads to ultra-low emissions. The combustion power of the swirl burner was 13.3 kW, and the air-to-fuel equivalence ratio was 1.25. Two parameters, combustion air preheating temperature and atomizing air pressure were adjusted in the range of 150–350 °C and 0.3–0.9 bar, respectively. Both straight and lifted flames were observed. The closed, atmospheric combustion chamber resulted in CO emission below 10 ppm in the majority of the cases. NO emission varied between 60 and 183 ppm at straight flame cases and decreased below 20 ppm when the flame was lifted since the combustion occurred in a large volume. This operation mode fulfills the 2015/2193/EU directive for gas combustion by 25%, which is twice as strict as liquid fuel combustion regulations. The 90% NO emission reduction was also concluded when compared to a lean premixed prevaporized burner under similar conditions. This favorable operation mode was named as Mixture Temperature-Controlled (MTC) Combustion. The chemiluminescent emission of lifted flames was also low, however, the OH* emission of straight flames was clearly observable and followed the trends of NO emission. The MTC mode may lead to significantly decreased pollutant emission of steady-operating devices like boilers, furnaces, and both aviation and industrial gas turbines, meaning an outstanding contribution to more environmentally friendly technologies.
Access Routeshybrid 17 citations 17 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=10.1016/j.enconman.2020.112908&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Shraddha Maitra; Bruce Dien;
Shraddha Maitra
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesShraddha Maitra in OpenAIRE Stephen P. Long; Stephen P. Long
Harvested from ORCID Public Data FileStephen P. Long in OpenAIRE Vijay Singh; Vijay Singh
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVijay Singh in OpenAIREAbstractThe bioenergy crops such as energycane, miscanthus, and sorghum are being genetically modified using state of the art synthetic biotechnology techniques to accumulate energy‐rich molecules such as triacylglycerides (TAGs) in their vegetative cells to enhance their utility for biofuel production. During the initial genetic developmental phase, many hundreds of transgenic phenotypes are produced. The efficiency of the production pipeline requires early and minimally destructive determination of oil content in individuals. Current screening methods require time‐intensive sample preparation and extraction with chemical solvents for each plant tissue. A rapid screen will also be needed for developing industrial extraction as these crops become available. In the present study, we have devised a proton relaxation nuclear magnetic resonance (1H‐NMR) method for single‐step, non‐invasive, and chemical‐free characterization of in‐situ lipids in untreated and pretreated lignocellulosic biomass. The systematic evaluation of NMR relaxation time distribution provided insight into the proton environment associated with the lipids in the biomass. It resolved two distinct lipid‐associated subpopulations of proton nuclei that characterize total in‐situ lipids into bound and free oil based on their “molecular tumbling” rate. The T1T2 correlation spectra also facilitated the resolution of the influence of various pretreatment procedures on the chemical composition of molecular and local 1H population in each sample. Furthermore, we show that hydrothermally pretreated biomass is suitable for direct NMR analysis unlike dilute acid and alkaline pretreated biomass which needs an additional step for neutralization.
Access Routesgold 7 citations 7 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=10.1111/gcbb.12841&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Shraddha Maitra; Bruce Dien;
Shraddha Maitra
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesShraddha Maitra in OpenAIRE Stephen P. Long; Stephen P. Long
Harvested from ORCID Public Data FileStephen P. Long in OpenAIRE Vijay Singh; Vijay Singh
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVijay Singh in OpenAIREAbstractThe bioenergy crops such as energycane, miscanthus, and sorghum are being genetically modified using state of the art synthetic biotechnology techniques to accumulate energy‐rich molecules such as triacylglycerides (TAGs) in their vegetative cells to enhance their utility for biofuel production. During the initial genetic developmental phase, many hundreds of transgenic phenotypes are produced. The efficiency of the production pipeline requires early and minimally destructive determination of oil content in individuals. Current screening methods require time‐intensive sample preparation and extraction with chemical solvents for each plant tissue. A rapid screen will also be needed for developing industrial extraction as these crops become available. In the present study, we have devised a proton relaxation nuclear magnetic resonance (1H‐NMR) method for single‐step, non‐invasive, and chemical‐free characterization of in‐situ lipids in untreated and pretreated lignocellulosic biomass. The systematic evaluation of NMR relaxation time distribution provided insight into the proton environment associated with the lipids in the biomass. It resolved two distinct lipid‐associated subpopulations of proton nuclei that characterize total in‐situ lipids into bound and free oil based on their “molecular tumbling” rate. The T1T2 correlation spectra also facilitated the resolution of the influence of various pretreatment procedures on the chemical composition of molecular and local 1H population in each sample. Furthermore, we show that hydrothermally pretreated biomass is suitable for direct NMR analysis unlike dilute acid and alkaline pretreated biomass which needs an additional step for neutralization.
Access Routesgold 7 citations 7 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=10.1111/gcbb.12841&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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