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description Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Royal Society of Chemistry (RSC) Funded by:UKRI | SPIN-Lab, UKRI | EPSRC Centre for Doctoral...UKRI| SPIN-Lab ,UKRI| EPSRC Centre for Doctoral Training in Nuclear Energy: Building UK Civil Nuclear Skills for Global Markets.Authors: Aberdeen S.; Cali' E.; Vandeperre L.; Ryan M. P.;doi: 10.1039/d3ta01998e
handle: 11583/2989722
In this paper the removal of a wide range of heavy metal ions from different chemical environments has been explored with the use of phosphate-functionalised superparamagnetic iron oxide nanoparticles (SPIONs), specifically magnetite (Fe3O4).
Publications Open Re... arrow_drop_down Publications Open Repository TOrinoArticle . 2023License: CC BYData sources: Publications Open Repository TOrinoJournal of Materials Chemistry AArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1039/d3ta01998e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Publications Open Re... arrow_drop_down Publications Open Repository TOrinoArticle . 2023License: CC BYData sources: Publications Open Repository TOrinoJournal of Materials Chemistry AArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1039/d3ta01998e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Lucy Allington; Carla Cannone; Ioannis Pappis; Karla Cervantes Barron; Will Usher; Steve Pye; Edward Brown; Mark Howells; Constantinos Taliotis; Caroline Sundin; Vignesh Sridha; Eunice Ramos; Maarten Brinkerink; Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona; Holger Rogner; Stephanie Hirmer;Abstract 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.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint , Journal 2012Embargo end date: 01 Jan 2012 Italy, France, Spain, Italy, France, Italy, France, Italy, Netherlands, United Kingdom, Spain, Italy, Italy, Italy, Spain, United Kingdom, Italy, Switzerland, Spain, France, United Kingdom, United Kingdom, United Kingdom, France, France, Italy, Spain, Netherlands, France, France, France, Italy, Netherlands, FrancePublisher:Springer Science and Business Media LLC Publicly fundedFunded by:SNSF | Search for New Physics in..., SNSF | High Precision CP Violati..., SNSF | Particle Physics in the L...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; V. Tisserand; Maximilian Schlupp; C. Potterat; Cristina Lazzeroni; U. Kerzel; Marie Helene Schune; B. Schmidt; C. J. Parkinson; B. Sciascia; F. Xing; G. N. Patrick; Massimiliano Ferro-Luzzi; R. Vazquez Gomez; P. M. Bjørnstad; O. Francisco; J. Dickens; B. Pietrzyk; Jessica Prisciandaro; J. Buytaert; Nazim Hussain; Marcin Kucharczyk; Marcin Kucharczyk; Marcin Kucharczyk; T. E. Latham; I. R. Kenyon; H. Ruiz; 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; E. Grauges; Timothy Gershon; Timothy Gershon; S. C. Haines; David Ward; A. Puig Navarro; D. Wiedner; T. Huse; K. Hennessy; P. Rodriguez Perez; Andrey Vorobyev; Po-Hsun Chen; Po-Hsun Chen; Evgeny Gushchin; Jack Benton; Sebastian Bachmann; R. S. Huston; H. Dijkstra; A. D. Nguyen; Gregory Ciezarek; N. Chiapolini; A. Borgia; Adriano Lai; S. Eidelman; Ronan McNulty; Daniel Lacarrere; J. Rouvinet; Krzysztof Grzegorz Sobczak; Minh Tâm Tran; A. D. Webber; T. Lesiak; Y.Y. Li; Mikhail Zavertyaev; Ph. Charpentier; Ronan Wallace; Giulia Manca; Marcin Chrzaszcz; P. Diniz Batista; Dmitry Popov; C. Voß; V. V. Gligorov; Ivan Belyaev; Andrey Golutvin; Andrey Golutvin; Andrey Golutvin; W. Witzeling; Alessandro Petrolini; J. van Tilburg; Thomas Blake; A. Nomerotski; A. Nomerotski; R. Lefèvre; V.G. Shevchenko; Jing Wang; Robert Currie; 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; 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; Olaf Steinkamp; Oleg Yushchenko; Haonan Lu; Chung Nguyen-Mau; A. Camboni; Oliver Grünberg; Ilya Komarov; J. A. Hernando Morata; Roberta Santacesaria; Carla Göbel; Francesca Dordei; Daniel Charles Craik; J. J. Saborido Silva; D. A. Milanes; S. Schleich; A. Sparkes; Rolf Lindner; Vitaly Vorobyev; T. M. Karbach; A. Dosil Suárez; Hamish Gordon; M. Whitehead; Giampiero Mancinelli; L. A. Granado Cardoso; Biagio Saitta; Mehul Patel; A. N. Solomin; D. Gascon; D. Voong; X. Cid Vidal; Lain-Jong Li; Thierry Gys; R. Muresan; E. Teodorescu; Tjeerd Ketel; T. Pilař; Guy Wilkinson; Thomas Ruf; V. Obraztsov; Vincenzo Vagnoni; B. Gui; J. Mylroie-Smith; Oleg Maev; Oleg Maev; M. Calvi; A. Martens; Paolo Gandini; Pierluigi Campana; Raymond Mountain; A. Mac Raighne; Konstantin Belous; Mikhail Shapkin; A. A. Alves; D. Elsby; G. D. Lafferty; D. van Eijk; C. Hadjivasiliou;arXiv: http://arxiv.org/abs/1206.5160 , 1206.5160
The 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
CORE arrow_drop_down COREArticle . 2012License: CC BYFull-Text: https://eprints.gla.ac.uk/80224/1/80224.pdfData sources: COREWarwick Research Archives Portal RepositoryArticle . 2012License: CC BY NDData sources: CORE (RIOXX-UK Aggregator)EnlightenArticle . 2012License: CC BYFull-Text: http://eprints.gla.ac.uk/80224/1/80224.pdfData sources: CORE (RIOXX-UK Aggregator)European Physical Journal C: Particles and FieldsArticle . 2012 . Peer-reviewedData sources: CrossrefEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2012License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2012European Physical Journal C: Particles and FieldsArticle . 2012License: CC BYData sources: Maastricht University | MUMC+ Research InformationSpiral - Imperial College Digital RepositoryArticle . 2012Data sources: Spiral - Imperial College Digital RepositoryEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: Oxford University Research ArchiveINRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverZurich Open Repository and ArchiveArticle . 2012 . Peer-reviewedData sources: Zurich Open Repository and ArchiveDiposit Digital de la Universitat de BarcelonaArticle . 2012License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della ricerca- Università di Roma La SapienzaArticle . 2012Data sources: Archivio della ricerca- Università di Roma La SapienzaThe University of Manchester - Institutional RepositoryArticle . 2012Data sources: The University of Manchester - Institutional RepositoryDAU - Arxiu Digital de la URLArticle . 2021License: CC BYData sources: DAU - Arxiu Digital de la URLUniversità degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)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.All Research productsarrow_drop_down <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.euAccess RoutesGreen gold 31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 248visibility views 248 download downloads 237 Powered bymore_vert CORE arrow_drop_down COREArticle . 2012License: CC BYFull-Text: https://eprints.gla.ac.uk/80224/1/80224.pdfData sources: COREWarwick Research Archives Portal RepositoryArticle . 2012License: CC BY NDData sources: CORE (RIOXX-UK Aggregator)EnlightenArticle . 2012License: CC BYFull-Text: http://eprints.gla.ac.uk/80224/1/80224.pdfData sources: CORE (RIOXX-UK Aggregator)European Physical Journal C: Particles and FieldsArticle . 2012 . Peer-reviewedData sources: CrossrefEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2012License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2012European Physical Journal C: Particles and FieldsArticle . 2012License: CC BYData sources: Maastricht University | MUMC+ Research InformationSpiral - Imperial College Digital RepositoryArticle . 2012Data sources: Spiral - Imperial College Digital RepositoryEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: Oxford University Research ArchiveINRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverZurich Open Repository and ArchiveArticle . 2012 . Peer-reviewedData sources: Zurich Open Repository and ArchiveDiposit Digital de la Universitat de BarcelonaArticle . 2012License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della ricerca- Università di Roma La SapienzaArticle . 2012Data sources: Archivio della ricerca- Università di Roma La SapienzaThe University of Manchester - Institutional RepositoryArticle . 2012Data sources: The University of Manchester - Institutional RepositoryDAU - Arxiu Digital de la URLArticle . 2021License: CC BYData sources: DAU - Arxiu Digital de la URLUniversità degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)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.All Research productsarrow_drop_down <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.eudescription Publicationkeyboard_double_arrow_right Article 2023 SpainPublisher:Elsevier BV Authors: Sarabia Escrivà, Emilio José; Soto Francés, Víctor Manuel; Pinazo Ojer, José Manuel; Acha, Salvador;handle: 10251/211984
[EN] The objective of this article is to compare the behaviour of the most representative domestic hot water systems (DHW) in single-family buildings. The study evaluates the energy consumption, equivalent CO2 emissions and cost for each system over a 15-year life period. This analysis is carried out in four cli- matic zones across Europe to observe the influence of climatic conditions on the results. The four climatic zones are located in the cities of Athens, Madrid, London and Berlin. The analysed systems are: a) natural gas-fired instantaneous water heaters, b) electric storage water heater, c) solar thermal system with gas- fired instantaneous, d) solar thermal system with electric storage water heater, e) air-source heat pump, f) photovoltaic system with electric storage water heater, and g) photovoltaic system with air-source heat pump. This range of technologies covers the most likely solutions to be implemented across domestic buildings in Europe.The heat pump system (HPWH) with PV considering self-consumption shows the lowest environmen- tal impact in all zones, but is not an attractive investment in the coldest zones due to lower natural gas prices. Thermal solar systems have a high purchase and maintenance costs which do not compensate their energy savings. The PV HPWH system has a greater reduction of emissions and a lower cost than HPWH across a 15-year life. The gas boiler system has the lowest cost in a 15-year period in the coldest areas, despite having a greater environmental impact than the heat pump.(c) 2023 Elsevier B.V. All rights reserved.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.All Research productsarrow_drop_down <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.enbuild.2023.112925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 6visibility views 6 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.All Research productsarrow_drop_down <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.enbuild.2023.112925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 United KingdomPublisher:Elsevier BV Authors: Toshio Shibagaki; Yu Merla; Gregory J. Offer;handle: 10044/1/55495
Abstract Diagnosing the state-of-health of lithium ion batteries in-operando is becoming increasingly important for multiple applications. We report the application of differential thermal voltammetry (DTV) to lithium iron phosphate (LFP) cells for the first time, and demonstrate that the technique is capable of diagnosing degradation in a similar way to incremental capacity analysis (ICA). DTV has the advantage of not requiring current and works for multiple cells in parallel, and is less sensitive to temperature introducing errors. Cells were aged by holding at 100% SOC or cycling at 1C charge, 6D discharge, both at an elevated temperature of 45 °C under forced air convection. Cells were periodically characterised, measuring capacity fade, resistance increase (power fade), and DTV fingerprints. The DTV results for both cells correlated well with both capacity and power, suggesting they could be used to diagnose SOH in-operando for both charge and discharge. The DTV peak-to-peak capacity correlated well with total capacity fade for the cycled cell, suggesting that it should be possible to estimate SOC and SOH from DTV for incomplete cycles within the voltage hysteresis region of an LFP cell.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2017License: CC BY NC NDFull-Text: http://hdl.handle.net/10044/1/55495Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.jpowsour.2017.11.011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2017License: CC BY NC NDFull-Text: http://hdl.handle.net/10044/1/55495Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.jpowsour.2017.11.011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United States, United KingdomPublisher:University of Chicago Press Funded by:NSF | Understanding the tempera...NSF| Understanding the temperature dependence of consumer-resource interactionsAuthors: Pawar, S; Dell, AI; Savage, VM; Knies, JL;Whether the thermal sensitivity of an organism's traits follows the simple Boltzmann-Arrhenius model remains a contentious issue that centers around consideration of its operational temperature range and whether the sensitivity corresponds to one or a few underlying rate-limiting enzymes. Resolving this issue is crucial, because mechanistic models for temperature dependence of traits are required to predict the biological effects of climate change. Here, by combining theory with data on 1,085 thermal responses from a wide range of traits and organisms, we show that substantial variation in thermal sensitivity (activation energy) estimates can arise simply because of variation in the range of measured temperatures. Furthermore, when thermal responses deviate systematically from the Boltzmann-Arrhenius model, variation in measured temperature ranges across studies can bias estimated activation energy distributions toward higher mean, median, variance, and skewness. Remarkably, this bias alone can yield activation energies that encompass the range expected from biochemical reactions (from ~0.2 to 1.2 eV), making it difficult to establish whether a single activation energy appropriately captures thermal sensitivity. We provide guidelines and a simple equation for partially correcting for such artifacts. Our results have important implications for understanding the mechanistic basis of thermal responses of biological traits and for accurately modeling effects of variation in thermal sensitivity on responses of individuals, populations, and ecological communities to changing climatic temperatures.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/6r89g9k4Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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.All Research productsarrow_drop_down <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=10.1086/684590&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 68 citations 68 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/6r89g9k4Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United States, United Kingdom, United StatesPublisher:Elsevier BV Authors: Muhammet Deveci; Ilgın Gökaşar; Oscar Castillo; Tuğrul Daim;handle: 10044/1/100899
Les développements des systèmes de transport, les changements dans les tendances de consommation et des conditions telles que la COVID-19 ont augmenté à la fois la demande et la charge du transport de marchandises. Étant donné que diverses entreprises transportent des marchandises dans le monde entier pour évaluer la durabilité, la vitesse et la résilience des systèmes de transport de marchandises, des systèmes de mesure de la fluidité des données et du fret sont nécessaires. Dans cette étude, un modèle de prise de décision intégré est proposé pour donner la priorité aux alternatives de mesure de la fluidité du fret. Le modèle proposé est composé de deux étapes principales. Dans la première étape, la méthodologie logarithmique des poids additifs (LMAW) basée sur les normes de Dombi est utilisée pour trouver les poids des critères. Dans la deuxième phase, une évaluation étendue basée sur la méthode de la distance de la solution moyenne (EDAS) avec Dombi onction pour l'agrégation est présentée pour déterminer les résultats finaux de classement des alternatives. Trois alternatives de mesure de la fluidité du fret sont proposées, à savoir ne rien faire, intégrer les activités de fret dans Metaverse pour mesurer la fluidité et former une gouvernance mondiale des activités de fret pour mesurer la fluidité à partir des données disponibles. Treize critères, qui sont regroupés sous quatre aspects principaux à savoir la technologie, la gouvernance, l'efficacité et la durabilité environnementale, et une étude de cas au cours de laquelle un cadre de base est formé pour que les experts évaluent les alternatives compte tenu des critères utilisés dans le processus décisionnel multicritères. Les résultats de l'étude indiquent que l'intégration des activités de fret dans Metaverse pour mesurer la fluidité est l'alternative la plus avantageuse, alors que ne rien faire est la moins avantageuse. Los desarrollos en los sistemas de transporte, los cambios en las tendencias de consumismo y condiciones como el COVID-19 han aumentado tanto la demanda como la carga en el transporte de mercancías. Dado que varias empresas transportan mercancías en todo el mundo para evaluar la sostenibilidad, la velocidad y la resistencia de los sistemas de transporte de mercancías, se necesitan sistemas de medición de datos y fluidez de la carga. En este estudio, se propone un modelo integrado de toma de decisiones para priorizar las alternativas de medición de la fluidez de la carga. El modelo propuesto se compone de dos etapas principales. En la primera etapa, se utiliza la Metodología Logarítmica de Pesos Aditivos (LMAW) basada en normas Dombi para encontrar los pesos de los criterios. En la segunda fase, se presenta una Evaluación extendida basada en el método de Distancia de la Solución Media (EDAS) con Dombi unción para la agregación para determinar los resultados finales de clasificación de las alternativas. Se proponen tres alternativas de medición de la fluidez de la carga, a saber, no hacer nada, integrar las actividades de carga en Metaverse para medir la fluidez y formar una gobernanza global de las actividades de carga para medir la fluidez a través de los datos disponibles. Trece criterios, que se agrupan en cuatro aspectos principales: tecnología, gobernanza, eficiencia y sostenibilidad ambiental, y un estudio de caso en el que se forma un marco básico para que los expertos evalúen las alternativas considerando que los criterios se utilizan en el proceso de toma de decisiones multicriterio. Los resultados del estudio indican que integrar las actividades de carga en Metaverso para medir la fluidez es la alternativa más ventajosa, mientras que no hacer nada es la menos ventajosa. Developments in transportation systems, changes in consumerism trends, and conditions such as COVID-19 have increased both the demand and the load on freight transportation. Since various companies are transporting goods all over the world to evaluate the sustainability, speed, and resiliency of freight transportation systems, data and freight fluidity measurement systems are needed. In this study, an integrated decision-making model is proposed to advantage prioritize the freight fluidity measurement alternatives. The proposed model is composed of two main stages. In the first stage, the Dombi norms based Logarithmic Methodology of Additive Weights (LMAW) is used to find the weights of criteria. In the second phase, an extended Evaluation based on the Distance from Average Solution (EDAS) method with Dombi unction for aggregation is presented to determine the final ranking results of alternatives. Three freight fluidity measurement alternatives are proposed, namely doing nothing, integrating freight activities into Metaverse for measuring fluidity, and forming global governance of freight activities for measuring fluidity through available data. Thirteen criteria, which are grouped under four main aspects namely technology, governance, efficiency, and environmental sustainability, and a case study at which a ground framework is formed for the experts to evaluate the alternatives considering the criteria are used in the multi-criteria decision-making process. The results of the study indicate that integrating freight activities into Metaverse for measuring fluidity is the most advantageous alternative, whereas doing nothing is the least advantageous one. أدت التطورات في أنظمة النقل، والتغيرات في اتجاهات النزعة الاستهلاكية، وظروف مثل COVID -19 إلى زيادة الطلب والحمل على نقل البضائع. نظرًا لأن العديد من الشركات تنقل البضائع في جميع أنحاء العالم لتقييم استدامة وسرعة ومرونة أنظمة نقل البضائع، فهناك حاجة إلى أنظمة قياس سيولة البيانات والشحن. في هذه الدراسة، يُقترح نموذج متكامل لصنع القرار للاستفادة من إعطاء الأولوية لبدائل قياس سيولة الشحن. يتكون النموذج المقترح من مرحلتين رئيسيتين. في المرحلة الأولى، يتم استخدام منهجية لوغاريتمية الأوزان المضافة (LMAW) القائمة على معايير دومبي لإيجاد أوزان المعايير. في المرحلة الثانية، يتم تقديم تقييم موسع يعتمد على طريقة المسافة من الحل المتوسط (EDAS) مع Dombi unction للتجميع لتحديد نتائج الترتيب النهائي للبدائل. يتم اقتراح ثلاثة بدائل لقياس سيولة الشحن، وهي عدم القيام بأي شيء، ودمج أنشطة الشحن في ميتافيرس لقياس السيولة، وتشكيل حوكمة عالمية لأنشطة الشحن لقياس السيولة من خلال البيانات المتاحة. ثلاثة عشر معيارًا، تم تجميعها تحت أربعة جوانب رئيسية وهي التكنولوجيا والحوكمة والكفاءة والاستدامة البيئية، ودراسة حالة يتم فيها تشكيل إطار أرضي للخبراء لتقييم البدائل مع مراعاة استخدام المعايير في عملية صنع القرار متعددة المعايير. تشير نتائج الدراسة إلى أن دمج أنشطة الشحن في ميتافيرس لقياس السيولة هو البديل الأكثر فائدة، في حين أن عدم القيام بأي شيء هو البديل الأقل فائدة.
Portland State Unive... arrow_drop_down Portland State University: PDXScholarArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/10044/1/100899Data sources: Bielefeld Academic Search Engine (BASE)Computers & Industrial EngineeringArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.cie.2022.108773&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 67 citations 67 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Portland State Unive... arrow_drop_down Portland State University: PDXScholarArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/10044/1/100899Data sources: Bielefeld Academic Search Engine (BASE)Computers & Industrial EngineeringArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.cie.2022.108773&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:American Chemical Society (ACS) Kang Wu; Jianyue Jiao; Na Li; Min Wang; Guofeng Jia; Yu Lin Lee; Rongbin Dang; Xin Deng; Xiaoling Xiao; Zhijian Wu;Layered O3-phase LiNi0.8Co0.1Mn0.1O2 (NCM811) material has shown great potential for lithium-ion batteries (LIBs). However, capacity attenuation and irreversible phase transitions have been serious...
Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)The Journal of Physical Chemistry CArticle . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1021/acs.jpcc.1c01727&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)The Journal of Physical Chemistry CArticle . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1021/acs.jpcc.1c01727&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Preprint , Other literature type 2018Embargo end date: 01 Jan 2017 Netherlands, United KingdomPublisher:IEEE Authors: Evans, Michael (author); Angeli, David (author); Tindemans, Simon H. (author);We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario. Accepted for publication to the 2018 Power Systems Computation Conference (PSCC)
http://arxiv.org/pdf... arrow_drop_down DANS (Data Archiving and Networked Services)Conference object . 2018Data sources: DANS (Data Archiving and Networked Services)Spiral - Imperial College Digital RepositoryConference object . 2018Data sources: Spiral - Imperial College Digital Repositoryhttps://dx.doi.org/10.48550/ar...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.All Research productsarrow_drop_down <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=10.23919/pscc.2018.8443058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 12 citations 12 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 6visibility views 6 download downloads 9 Powered bymore_vert http://arxiv.org/pdf... arrow_drop_down DANS (Data Archiving and Networked Services)Conference object . 2018Data sources: DANS (Data Archiving and Networked Services)Spiral - Imperial College Digital RepositoryConference object . 2018Data sources: Spiral - Imperial College Digital Repositoryhttps://dx.doi.org/10.48550/ar...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.All Research productsarrow_drop_down <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=10.23919/pscc.2018.8443058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Elsevier BV Han Wang; Jacek Pawlak; Ahmadreza Faghih Imani; Fangce Guo; Aruna Sivakumar;handle: 10044/1/105153
Energy demand modelling has been widely applied in various contexts, including power plant generation, building energy simulation and demand-side management. However, it is still an ongoing research topic in terms of the choice of modelling method, feature engineering for data-driven methods, the application contexts and the type of data used. In the residential sector, survey-based and meter-based approaches are categorised according to the type of input data used, i.e. the activity records from the time use survey and energy consumption from meters respectively. These two paradigms are not necessarily easy to combine, which warrants the questions of when one may be preferred over the other and whether they need to be combined despite the significant data requirements. Other details also have a huge impact on the data structure and performance of the energy demand model, including the choice of influential factors, the historical time window of factors selected, the split between training and test data, and the choice of machine learning (ML) algorithm. There is a lack of comparative research to guide researchers and practitioners in developing energy demand modelling capability, specifically as it pertains to these issues. This study analyses three groups of test scenarios in a multi-household residential context based in the UK. Six ML algorithms (LightGBM, Random forest, ANN, SVM, KNN and LSTM), with eight sets of various influential features, at four different historical time window widths and two train-test splits were compared. An appropriate methodology was designed to capture the temporal impact of activities on energy demand and represent the overlap and interaction of activities. The results show that the combination of meter-based and survey-based energy demand models performs better in terms of modelling accuracy and robustness against sudden load variation. Particularly, integrating energy tariffs, household and individual attributes, appliance usage and general activity features can improve the energy demand model. Among the ML algorithms, LightGBM and ANN perform better than other algorithms while LSTM and SVM may not be suitable in this multi-household short monitoring context.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/105153Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.enbuild.2023.113292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/105153Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.enbuild.2023.113292&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Royal Society of Chemistry (RSC) Funded by:UKRI | SPIN-Lab, UKRI | EPSRC Centre for Doctoral...UKRI| SPIN-Lab ,UKRI| EPSRC Centre for Doctoral Training in Nuclear Energy: Building UK Civil Nuclear Skills for Global Markets.Authors: Aberdeen S.; Cali' E.; Vandeperre L.; Ryan M. P.;doi: 10.1039/d3ta01998e
handle: 11583/2989722
In this paper the removal of a wide range of heavy metal ions from different chemical environments has been explored with the use of phosphate-functionalised superparamagnetic iron oxide nanoparticles (SPIONs), specifically magnetite (Fe3O4).
Publications Open Re... arrow_drop_down Publications Open Repository TOrinoArticle . 2023License: CC BYData sources: Publications Open Repository TOrinoJournal of Materials Chemistry AArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1039/d3ta01998e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Publications Open Re... arrow_drop_down Publications Open Repository TOrinoArticle . 2023License: CC BYData sources: Publications Open Repository TOrinoJournal of Materials Chemistry AArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1039/d3ta01998e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Lucy Allington; Carla Cannone; Ioannis Pappis; Karla Cervantes Barron; Will Usher; Steve Pye; Edward Brown; Mark Howells; Constantinos Taliotis; Caroline Sundin; Vignesh Sridha; Eunice Ramos; Maarten Brinkerink; Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona; Holger Rogner; Stephanie Hirmer;Abstract 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.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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.All Research productsarrow_drop_down <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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint , Journal 2012Embargo end date: 01 Jan 2012 Italy, France, Spain, Italy, France, Italy, France, Italy, Netherlands, United Kingdom, Spain, Italy, Italy, Italy, Spain, United Kingdom, Italy, Switzerland, Spain, France, United Kingdom, United Kingdom, United Kingdom, France, France, Italy, Spain, Netherlands, France, France, France, Italy, Netherlands, FrancePublisher:Springer Science and Business Media LLC Publicly fundedFunded by:SNSF | Search for New Physics in..., SNSF | High Precision CP Violati..., SNSF | Particle Physics in the L...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; V. Tisserand; Maximilian Schlupp; C. Potterat; Cristina Lazzeroni; U. Kerzel; Marie Helene Schune; B. Schmidt; C. J. Parkinson; B. Sciascia; F. Xing; G. N. Patrick; Massimiliano Ferro-Luzzi; R. Vazquez Gomez; P. M. Bjørnstad; O. Francisco; J. Dickens; B. Pietrzyk; Jessica Prisciandaro; J. Buytaert; Nazim Hussain; Marcin Kucharczyk; Marcin Kucharczyk; Marcin Kucharczyk; T. E. Latham; I. R. Kenyon; H. Ruiz; 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; E. Grauges; Timothy Gershon; Timothy Gershon; S. C. Haines; David Ward; A. Puig Navarro; D. Wiedner; T. Huse; K. Hennessy; P. Rodriguez Perez; Andrey Vorobyev; Po-Hsun Chen; Po-Hsun Chen; Evgeny Gushchin; Jack Benton; Sebastian Bachmann; R. S. Huston; H. Dijkstra; A. D. Nguyen; Gregory Ciezarek; N. Chiapolini; A. Borgia; Adriano Lai; S. Eidelman; Ronan McNulty; Daniel Lacarrere; J. Rouvinet; Krzysztof Grzegorz Sobczak; Minh Tâm Tran; A. D. Webber; T. Lesiak; Y.Y. Li; Mikhail Zavertyaev; Ph. Charpentier; Ronan Wallace; Giulia Manca; Marcin Chrzaszcz; P. Diniz Batista; Dmitry Popov; C. Voß; V. V. Gligorov; Ivan Belyaev; Andrey Golutvin; Andrey Golutvin; Andrey Golutvin; W. Witzeling; Alessandro Petrolini; J. van Tilburg; Thomas Blake; A. Nomerotski; A. Nomerotski; R. Lefèvre; V.G. Shevchenko; Jing Wang; Robert Currie; 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; 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; Olaf Steinkamp; Oleg Yushchenko; Haonan Lu; Chung Nguyen-Mau; A. Camboni; Oliver Grünberg; Ilya Komarov; J. A. Hernando Morata; Roberta Santacesaria; Carla Göbel; Francesca Dordei; Daniel Charles Craik; J. J. Saborido Silva; D. A. Milanes; S. Schleich; A. Sparkes; Rolf Lindner; Vitaly Vorobyev; T. M. Karbach; A. Dosil Suárez; Hamish Gordon; M. Whitehead; Giampiero Mancinelli; L. A. Granado Cardoso; Biagio Saitta; Mehul Patel; A. N. Solomin; D. Gascon; D. Voong; X. Cid Vidal; Lain-Jong Li; Thierry Gys; R. Muresan; E. Teodorescu; Tjeerd Ketel; T. Pilař; Guy Wilkinson; Thomas Ruf; V. Obraztsov; Vincenzo Vagnoni; B. Gui; J. Mylroie-Smith; Oleg Maev; Oleg Maev; M. Calvi; A. Martens; Paolo Gandini; Pierluigi Campana; Raymond Mountain; A. Mac Raighne; Konstantin Belous; Mikhail Shapkin; A. A. Alves; D. Elsby; G. D. Lafferty; D. van Eijk; C. Hadjivasiliou;arXiv: http://arxiv.org/abs/1206.5160 , 1206.5160
The 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
CORE arrow_drop_down COREArticle . 2012License: CC BYFull-Text: https://eprints.gla.ac.uk/80224/1/80224.pdfData sources: COREWarwick Research Archives Portal RepositoryArticle . 2012License: CC BY NDData sources: CORE (RIOXX-UK Aggregator)EnlightenArticle . 2012License: CC BYFull-Text: http://eprints.gla.ac.uk/80224/1/80224.pdfData sources: CORE (RIOXX-UK Aggregator)European Physical Journal C: Particles and FieldsArticle . 2012 . Peer-reviewedData sources: CrossrefEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2012License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2012European Physical Journal C: Particles and FieldsArticle . 2012License: CC BYData sources: Maastricht University | MUMC+ Research InformationSpiral - Imperial College Digital RepositoryArticle . 2012Data sources: Spiral - Imperial College Digital RepositoryEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: Oxford University Research ArchiveINRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverZurich Open Repository and ArchiveArticle . 2012 . Peer-reviewedData sources: Zurich Open Repository and ArchiveDiposit Digital de la Universitat de BarcelonaArticle . 2012License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della ricerca- Università di Roma La SapienzaArticle . 2012Data sources: Archivio della ricerca- Università di Roma La SapienzaThe University of Manchester - Institutional RepositoryArticle . 2012Data sources: The University of Manchester - Institutional RepositoryDAU - Arxiu Digital de la URLArticle . 2021License: CC BYData sources: DAU - Arxiu Digital de la URLUniversità degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)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.All Research productsarrow_drop_down <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.euAccess RoutesGreen gold 31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 248visibility views 248 download downloads 237 Powered bymore_vert CORE arrow_drop_down COREArticle . 2012License: CC BYFull-Text: https://eprints.gla.ac.uk/80224/1/80224.pdfData sources: COREWarwick Research Archives Portal RepositoryArticle . 2012License: CC BY NDData sources: CORE (RIOXX-UK Aggregator)EnlightenArticle . 2012License: CC BYFull-Text: http://eprints.gla.ac.uk/80224/1/80224.pdfData sources: CORE (RIOXX-UK Aggregator)European Physical Journal C: Particles and FieldsArticle . 2012 . Peer-reviewedData sources: CrossrefEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2012License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2012European Physical Journal C: Particles and FieldsArticle . 2012License: CC BYData sources: Maastricht University | MUMC+ Research InformationSpiral - Imperial College Digital RepositoryArticle . 2012Data sources: Spiral - Imperial College Digital RepositoryEuropean Physical Journal C: Particles and FieldsArticle . 2012Data sources: Oxford University Research ArchiveINRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverZurich Open Repository and ArchiveArticle . 2012 . Peer-reviewedData sources: Zurich Open Repository and ArchiveDiposit Digital de la Universitat de BarcelonaArticle . 2012License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2012Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della ricerca- Università di Roma La SapienzaArticle . 2012Data sources: Archivio della ricerca- Università di Roma La SapienzaThe University of Manchester - Institutional RepositoryArticle . 2012Data sources: The University of Manchester - Institutional RepositoryDAU - Arxiu Digital de la URLArticle . 2021License: CC BYData sources: DAU - Arxiu Digital de la URLUniversità degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università di Roma Tor vergataArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)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.All Research productsarrow_drop_down <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.eudescription Publicationkeyboard_double_arrow_right Article 2023 SpainPublisher:Elsevier BV Authors: Sarabia Escrivà, Emilio José; Soto Francés, Víctor Manuel; Pinazo Ojer, José Manuel; Acha, Salvador;handle: 10251/211984
[EN] The objective of this article is to compare the behaviour of the most representative domestic hot water systems (DHW) in single-family buildings. The study evaluates the energy consumption, equivalent CO2 emissions and cost for each system over a 15-year life period. This analysis is carried out in four cli- matic zones across Europe to observe the influence of climatic conditions on the results. The four climatic zones are located in the cities of Athens, Madrid, London and Berlin. The analysed systems are: a) natural gas-fired instantaneous water heaters, b) electric storage water heater, c) solar thermal system with gas- fired instantaneous, d) solar thermal system with electric storage water heater, e) air-source heat pump, f) photovoltaic system with electric storage water heater, and g) photovoltaic system with air-source heat pump. This range of technologies covers the most likely solutions to be implemented across domestic buildings in Europe.The heat pump system (HPWH) with PV considering self-consumption shows the lowest environmen- tal impact in all zones, but is not an attractive investment in the coldest zones due to lower natural gas prices. Thermal solar systems have a high purchase and maintenance costs which do not compensate their energy savings. The PV HPWH system has a greater reduction of emissions and a lower cost than HPWH across a 15-year life. The gas boiler system has the lowest cost in a 15-year period in the coldest areas, despite having a greater environmental impact than the heat pump.(c) 2023 Elsevier B.V. All rights reserved.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.All Research productsarrow_drop_down <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.enbuild.2023.112925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 6visibility views 6 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.All Research productsarrow_drop_down <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.enbuild.2023.112925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 United KingdomPublisher:Elsevier BV Authors: Toshio Shibagaki; Yu Merla; Gregory J. Offer;handle: 10044/1/55495
Abstract Diagnosing the state-of-health of lithium ion batteries in-operando is becoming increasingly important for multiple applications. We report the application of differential thermal voltammetry (DTV) to lithium iron phosphate (LFP) cells for the first time, and demonstrate that the technique is capable of diagnosing degradation in a similar way to incremental capacity analysis (ICA). DTV has the advantage of not requiring current and works for multiple cells in parallel, and is less sensitive to temperature introducing errors. Cells were aged by holding at 100% SOC or cycling at 1C charge, 6D discharge, both at an elevated temperature of 45 °C under forced air convection. Cells were periodically characterised, measuring capacity fade, resistance increase (power fade), and DTV fingerprints. The DTV results for both cells correlated well with both capacity and power, suggesting they could be used to diagnose SOH in-operando for both charge and discharge. The DTV peak-to-peak capacity correlated well with total capacity fade for the cycled cell, suggesting that it should be possible to estimate SOC and SOH from DTV for incomplete cycles within the voltage hysteresis region of an LFP cell.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2017License: CC BY NC NDFull-Text: http://hdl.handle.net/10044/1/55495Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.jpowsour.2017.11.011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2017License: CC BY NC NDFull-Text: http://hdl.handle.net/10044/1/55495Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.jpowsour.2017.11.011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United States, United KingdomPublisher:University of Chicago Press Funded by:NSF | Understanding the tempera...NSF| Understanding the temperature dependence of consumer-resource interactionsAuthors: Pawar, S; Dell, AI; Savage, VM; Knies, JL;Whether the thermal sensitivity of an organism's traits follows the simple Boltzmann-Arrhenius model remains a contentious issue that centers around consideration of its operational temperature range and whether the sensitivity corresponds to one or a few underlying rate-limiting enzymes. Resolving this issue is crucial, because mechanistic models for temperature dependence of traits are required to predict the biological effects of climate change. Here, by combining theory with data on 1,085 thermal responses from a wide range of traits and organisms, we show that substantial variation in thermal sensitivity (activation energy) estimates can arise simply because of variation in the range of measured temperatures. Furthermore, when thermal responses deviate systematically from the Boltzmann-Arrhenius model, variation in measured temperature ranges across studies can bias estimated activation energy distributions toward higher mean, median, variance, and skewness. Remarkably, this bias alone can yield activation energies that encompass the range expected from biochemical reactions (from ~0.2 to 1.2 eV), making it difficult to establish whether a single activation energy appropriately captures thermal sensitivity. We provide guidelines and a simple equation for partially correcting for such artifacts. Our results have important implications for understanding the mechanistic basis of thermal responses of biological traits and for accurately modeling effects of variation in thermal sensitivity on responses of individuals, populations, and ecological communities to changing climatic temperatures.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/6r89g9k4Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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.All Research productsarrow_drop_down <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=10.1086/684590&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 68 citations 68 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/6r89g9k4Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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.All Research productsarrow_drop_down <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=10.1086/684590&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United States, United Kingdom, United StatesPublisher:Elsevier BV Authors: Muhammet Deveci; Ilgın Gökaşar; Oscar Castillo; Tuğrul Daim;handle: 10044/1/100899
Les développements des systèmes de transport, les changements dans les tendances de consommation et des conditions telles que la COVID-19 ont augmenté à la fois la demande et la charge du transport de marchandises. Étant donné que diverses entreprises transportent des marchandises dans le monde entier pour évaluer la durabilité, la vitesse et la résilience des systèmes de transport de marchandises, des systèmes de mesure de la fluidité des données et du fret sont nécessaires. Dans cette étude, un modèle de prise de décision intégré est proposé pour donner la priorité aux alternatives de mesure de la fluidité du fret. Le modèle proposé est composé de deux étapes principales. Dans la première étape, la méthodologie logarithmique des poids additifs (LMAW) basée sur les normes de Dombi est utilisée pour trouver les poids des critères. Dans la deuxième phase, une évaluation étendue basée sur la méthode de la distance de la solution moyenne (EDAS) avec Dombi onction pour l'agrégation est présentée pour déterminer les résultats finaux de classement des alternatives. Trois alternatives de mesure de la fluidité du fret sont proposées, à savoir ne rien faire, intégrer les activités de fret dans Metaverse pour mesurer la fluidité et former une gouvernance mondiale des activités de fret pour mesurer la fluidité à partir des données disponibles. Treize critères, qui sont regroupés sous quatre aspects principaux à savoir la technologie, la gouvernance, l'efficacité et la durabilité environnementale, et une étude de cas au cours de laquelle un cadre de base est formé pour que les experts évaluent les alternatives compte tenu des critères utilisés dans le processus décisionnel multicritères. Les résultats de l'étude indiquent que l'intégration des activités de fret dans Metaverse pour mesurer la fluidité est l'alternative la plus avantageuse, alors que ne rien faire est la moins avantageuse. Los desarrollos en los sistemas de transporte, los cambios en las tendencias de consumismo y condiciones como el COVID-19 han aumentado tanto la demanda como la carga en el transporte de mercancías. Dado que varias empresas transportan mercancías en todo el mundo para evaluar la sostenibilidad, la velocidad y la resistencia de los sistemas de transporte de mercancías, se necesitan sistemas de medición de datos y fluidez de la carga. En este estudio, se propone un modelo integrado de toma de decisiones para priorizar las alternativas de medición de la fluidez de la carga. El modelo propuesto se compone de dos etapas principales. En la primera etapa, se utiliza la Metodología Logarítmica de Pesos Aditivos (LMAW) basada en normas Dombi para encontrar los pesos de los criterios. En la segunda fase, se presenta una Evaluación extendida basada en el método de Distancia de la Solución Media (EDAS) con Dombi unción para la agregación para determinar los resultados finales de clasificación de las alternativas. Se proponen tres alternativas de medición de la fluidez de la carga, a saber, no hacer nada, integrar las actividades de carga en Metaverse para medir la fluidez y formar una gobernanza global de las actividades de carga para medir la fluidez a través de los datos disponibles. Trece criterios, que se agrupan en cuatro aspectos principales: tecnología, gobernanza, eficiencia y sostenibilidad ambiental, y un estudio de caso en el que se forma un marco básico para que los expertos evalúen las alternativas considerando que los criterios se utilizan en el proceso de toma de decisiones multicriterio. Los resultados del estudio indican que integrar las actividades de carga en Metaverso para medir la fluidez es la alternativa más ventajosa, mientras que no hacer nada es la menos ventajosa. Developments in transportation systems, changes in consumerism trends, and conditions such as COVID-19 have increased both the demand and the load on freight transportation. Since various companies are transporting goods all over the world to evaluate the sustainability, speed, and resiliency of freight transportation systems, data and freight fluidity measurement systems are needed. In this study, an integrated decision-making model is proposed to advantage prioritize the freight fluidity measurement alternatives. The proposed model is composed of two main stages. In the first stage, the Dombi norms based Logarithmic Methodology of Additive Weights (LMAW) is used to find the weights of criteria. In the second phase, an extended Evaluation based on the Distance from Average Solution (EDAS) method with Dombi unction for aggregation is presented to determine the final ranking results of alternatives. Three freight fluidity measurement alternatives are proposed, namely doing nothing, integrating freight activities into Metaverse for measuring fluidity, and forming global governance of freight activities for measuring fluidity through available data. Thirteen criteria, which are grouped under four main aspects namely technology, governance, efficiency, and environmental sustainability, and a case study at which a ground framework is formed for the experts to evaluate the alternatives considering the criteria are used in the multi-criteria decision-making process. The results of the study indicate that integrating freight activities into Metaverse for measuring fluidity is the most advantageous alternative, whereas doing nothing is the least advantageous one. أدت التطورات في أنظمة النقل، والتغيرات في اتجاهات النزعة الاستهلاكية، وظروف مثل COVID -19 إلى زيادة الطلب والحمل على نقل البضائع. نظرًا لأن العديد من الشركات تنقل البضائع في جميع أنحاء العالم لتقييم استدامة وسرعة ومرونة أنظمة نقل البضائع، فهناك حاجة إلى أنظمة قياس سيولة البيانات والشحن. في هذه الدراسة، يُقترح نموذج متكامل لصنع القرار للاستفادة من إعطاء الأولوية لبدائل قياس سيولة الشحن. يتكون النموذج المقترح من مرحلتين رئيسيتين. في المرحلة الأولى، يتم استخدام منهجية لوغاريتمية الأوزان المضافة (LMAW) القائمة على معايير دومبي لإيجاد أوزان المعايير. في المرحلة الثانية، يتم تقديم تقييم موسع يعتمد على طريقة المسافة من الحل المتوسط (EDAS) مع Dombi unction للتجميع لتحديد نتائج الترتيب النهائي للبدائل. يتم اقتراح ثلاثة بدائل لقياس سيولة الشحن، وهي عدم القيام بأي شيء، ودمج أنشطة الشحن في ميتافيرس لقياس السيولة، وتشكيل حوكمة عالمية لأنشطة الشحن لقياس السيولة من خلال البيانات المتاحة. ثلاثة عشر معيارًا، تم تجميعها تحت أربعة جوانب رئيسية وهي التكنولوجيا والحوكمة والكفاءة والاستدامة البيئية، ودراسة حالة يتم فيها تشكيل إطار أرضي للخبراء لتقييم البدائل مع مراعاة استخدام المعايير في عملية صنع القرار متعددة المعايير. تشير نتائج الدراسة إلى أن دمج أنشطة الشحن في ميتافيرس لقياس السيولة هو البديل الأكثر فائدة، في حين أن عدم القيام بأي شيء هو البديل الأقل فائدة.
Portland State Unive... arrow_drop_down Portland State University: PDXScholarArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/10044/1/100899Data sources: Bielefeld Academic Search Engine (BASE)Computers & Industrial EngineeringArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 67 citations 67 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Portland State Unive... arrow_drop_down Portland State University: PDXScholarArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/10044/1/100899Data sources: Bielefeld Academic Search Engine (BASE)Computers & Industrial EngineeringArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:American Chemical Society (ACS) Kang Wu; Jianyue Jiao; Na Li; Min Wang; Guofeng Jia; Yu Lin Lee; Rongbin Dang; Xin Deng; Xiaoling Xiao; Zhijian Wu;Layered O3-phase LiNi0.8Co0.1Mn0.1O2 (NCM811) material has shown great potential for lithium-ion batteries (LIBs). However, capacity attenuation and irreversible phase transitions have been serious...
Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)The Journal of Physical Chemistry CArticle . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1021/acs.jpcc.1c01727&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)The Journal of Physical Chemistry CArticle . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd 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.All Research productsarrow_drop_down <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=10.1021/acs.jpcc.1c01727&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Preprint , Other literature type 2018Embargo end date: 01 Jan 2017 Netherlands, United KingdomPublisher:IEEE Authors: Evans, Michael (author); Angeli, David (author); Tindemans, Simon H. (author);We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario. Accepted for publication to the 2018 Power Systems Computation Conference (PSCC)
http://arxiv.org/pdf... arrow_drop_down DANS (Data Archiving and Networked Services)Conference object . 2018Data sources: DANS (Data Archiving and Networked Services)Spiral - Imperial College Digital RepositoryConference object . 2018Data sources: Spiral - Imperial College Digital Repositoryhttps://dx.doi.org/10.48550/ar...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.All Research productsarrow_drop_down <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=10.23919/pscc.2018.8443058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 12 citations 12 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 6visibility views 6 download downloads 9 Powered bymore_vert http://arxiv.org/pdf... arrow_drop_down DANS (Data Archiving and Networked Services)Conference object . 2018Data sources: DANS (Data Archiving and Networked Services)Spiral - Imperial College Digital RepositoryConference object . 2018Data sources: Spiral - Imperial College Digital Repositoryhttps://dx.doi.org/10.48550/ar...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.All Research productsarrow_drop_down <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=10.23919/pscc.2018.8443058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Elsevier BV Han Wang; Jacek Pawlak; Ahmadreza Faghih Imani; Fangce Guo; Aruna Sivakumar;handle: 10044/1/105153
Energy demand modelling has been widely applied in various contexts, including power plant generation, building energy simulation and demand-side management. However, it is still an ongoing research topic in terms of the choice of modelling method, feature engineering for data-driven methods, the application contexts and the type of data used. In the residential sector, survey-based and meter-based approaches are categorised according to the type of input data used, i.e. the activity records from the time use survey and energy consumption from meters respectively. These two paradigms are not necessarily easy to combine, which warrants the questions of when one may be preferred over the other and whether they need to be combined despite the significant data requirements. Other details also have a huge impact on the data structure and performance of the energy demand model, including the choice of influential factors, the historical time window of factors selected, the split between training and test data, and the choice of machine learning (ML) algorithm. There is a lack of comparative research to guide researchers and practitioners in developing energy demand modelling capability, specifically as it pertains to these issues. This study analyses three groups of test scenarios in a multi-household residential context based in the UK. Six ML algorithms (LightGBM, Random forest, ANN, SVM, KNN and LSTM), with eight sets of various influential features, at four different historical time window widths and two train-test splits were compared. An appropriate methodology was designed to capture the temporal impact of activities on energy demand and represent the overlap and interaction of activities. The results show that the combination of meter-based and survey-based energy demand models performs better in terms of modelling accuracy and robustness against sudden load variation. Particularly, integrating energy tariffs, household and individual attributes, appliance usage and general activity features can improve the energy demand model. Among the ML algorithms, LightGBM and ANN perform better than other algorithms while LSTM and SVM may not be suitable in this multi-household short monitoring context.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/105153Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.enbuild.2023.113292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/105153Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd 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.All Research productsarrow_drop_down <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.enbuild.2023.113292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu