- home
- Advanced Search
- SDSN - Greece
- Open Access
- Publications
- Other research products
- IE
- arXiv.org e-Print Archive
- SDSN - Greece
- Open Access
- Publications
- Other research products
- IE
- arXiv.org e-Print Archive
Loading
description Publicationkeyboard_double_arrow_right Article , Preprint 2022 United Kingdom, Spain, Czech Republic, Finland, Norway, Switzerland, France, France, France, FrancePublisher:Elsevier BV Publicly fundedFunded by:EC | ACTRIS, EC | EMME-CARE, SNSF | Source apportionment usin... +8 projectsEC| ACTRIS ,EC| EMME-CARE ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM) ,SNSF| Particulate air pollution sources in low-income megacities ,EC| ACTRIS-2 ,EC| ERA-PLANET ,EC| FORCeS ,EC| RI-URBANS ,EC| INTEGRATE ,EC| COALA ,ANR| CappaChen, Gang; Canonaco, Francesco; Tobler, Anna; Aas, Wenche; Alastuey, Andres; Allan, James; Atabakhsh, Samira; Aurela, Minna; Baltensperger, Urs; Bougiatioti, Aikaterini; de Brito, Joel; Ceburnis, Darius; Chazeau, Benjamin; Chebaicheb, Hasna; Daellenbach, Kaspar; Ehn, Mikael; El Haddad, Imad; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Font, Anna; Fossum, Kirsten; Freney, Evelyn; Gini, Maria; Green, David; Heikkinen, Liine; Herrmann, Hartmut; Kalogridis, Athina-Cerise; Keernik, Hannes; Lhotka, Radek; Lin, Chunshui; Lunder, Chris; Maasikmets, Marek; Manousakas, Manousos; Marchand, Nicolas; Marin, Cristina; Marmureanu, Luminita; Mihalopoulos, Nikolaos; Močnik, Griša; Nęcki, Jaroslaw; O'Dowd, Colin; Ovadnevaite, Jurgita; Peter, Thomas; Petit, Jean-Eudes; Pikridas, Michael; Matthew Platt, Stephen; Pokorná, Petra; Poulain, Laurent; Priestman, Max; Riffault, Véronique; Rinaldi, Matteo; Różański, Kazimierz; Schwarz, Jaroslav; Sciare, Jean; Simon, Leïla; Skiba, Alicja; Slowik, Jay; Sosedova, Yulia; Stavroulas, Iasonas; Styszko, Katarzyna; Teinemaa, Erik; Timonen, Hilkka; Tremper, Anja; Vasilescu, Jeni; Via, Marta; Vodička, Petr; Wiedensohler, Alfred; Zografou, Olga; Cruz Minguillón, María; Prévôt, André S.H.;handle: 10261/275204 , 20.500.11850/554996 , 11104/0332000
pmid: 35716508
Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models. Environment International, 166 ISSN:1873-6750 ISSN:0160-4120
Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Clermont Université; HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envint.2022.107325&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 35 citations 35 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 53visibility views 53 download downloads 211 Powered bymore_vert Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Clermont Université; HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envint.2022.107325&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021Publisher:Elsevier BV Publicly fundedFunded by:EC | CONNECTING Nature, UKRI | SustAinable BiOdegradable...EC| CONNECTING Nature ,UKRI| SustAinable BiOdegradable Tooling SABOTMohammadhossein Ghahramani; Nadina J. Galle; Fábio Duarte; Carlo Ratti; Francesco Pilla;Abstract Continued population growth and urbanization is shifting research to consider the quality of urban green space over the quantity of these parks, woods, and wetlands. The quality of urban green space has been hitherto measured by expert assessments, including in-situ observations, surveys, and remote sensing analyses. Location data platforms, such as TripAdvisor, can provide people’s opinion on many destinations and experiences, including UGS. This paper leverages Artificial Intelligence techniques for opinion mining and text classification using such platform’s reviews as a novel approach to urban green space quality assessments. Natural Language Processing is used to analyze contextual information given supervised scores of words by implementing computational analysis. Such an application can support local authorities and stakeholders in their understanding of–and justification for–future investments in urban green space.
City and Environment... arrow_drop_down City and Environment InteractionsArticle . 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cacint.2021.100058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert City and Environment... arrow_drop_down City and Environment InteractionsArticle . 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cacint.2021.100058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020 France, United KingdomPublisher:Elsevier BV Funded by:EPA, FCT | Center for Environmental ..., EC | ERA4CS +1 projectsEPA ,FCT| Center for Environmental and Sustainability Research ,EC| ERA4CS ,UKRI| Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National StrategyYves-Marie Saint-Drenan; Romain Besseau; Malte Jansen; Iain Staffell; Alberto Troccoli; Laurent Dubus; Johannes Schmidt; Katharina Gruber; Sofia Simoes; Siegfried Heier;A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; however, the power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community. Comment: preprint submitted to Renewable Energy
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2020.04.123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 6visibility views 6 download downloads 180 Powered bymore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2020.04.123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
Loading
description Publicationkeyboard_double_arrow_right Article , Preprint 2022 United Kingdom, Spain, Czech Republic, Finland, Norway, Switzerland, France, France, France, FrancePublisher:Elsevier BV Publicly fundedFunded by:EC | ACTRIS, EC | EMME-CARE, SNSF | Source apportionment usin... +8 projectsEC| ACTRIS ,EC| EMME-CARE ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM) ,SNSF| Particulate air pollution sources in low-income megacities ,EC| ACTRIS-2 ,EC| ERA-PLANET ,EC| FORCeS ,EC| RI-URBANS ,EC| INTEGRATE ,EC| COALA ,ANR| CappaChen, Gang; Canonaco, Francesco; Tobler, Anna; Aas, Wenche; Alastuey, Andres; Allan, James; Atabakhsh, Samira; Aurela, Minna; Baltensperger, Urs; Bougiatioti, Aikaterini; de Brito, Joel; Ceburnis, Darius; Chazeau, Benjamin; Chebaicheb, Hasna; Daellenbach, Kaspar; Ehn, Mikael; El Haddad, Imad; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Font, Anna; Fossum, Kirsten; Freney, Evelyn; Gini, Maria; Green, David; Heikkinen, Liine; Herrmann, Hartmut; Kalogridis, Athina-Cerise; Keernik, Hannes; Lhotka, Radek; Lin, Chunshui; Lunder, Chris; Maasikmets, Marek; Manousakas, Manousos; Marchand, Nicolas; Marin, Cristina; Marmureanu, Luminita; Mihalopoulos, Nikolaos; Močnik, Griša; Nęcki, Jaroslaw; O'Dowd, Colin; Ovadnevaite, Jurgita; Peter, Thomas; Petit, Jean-Eudes; Pikridas, Michael; Matthew Platt, Stephen; Pokorná, Petra; Poulain, Laurent; Priestman, Max; Riffault, Véronique; Rinaldi, Matteo; Różański, Kazimierz; Schwarz, Jaroslav; Sciare, Jean; Simon, Leïla; Skiba, Alicja; Slowik, Jay; Sosedova, Yulia; Stavroulas, Iasonas; Styszko, Katarzyna; Teinemaa, Erik; Timonen, Hilkka; Tremper, Anja; Vasilescu, Jeni; Via, Marta; Vodička, Petr; Wiedensohler, Alfred; Zografou, Olga; Cruz Minguillón, María; Prévôt, André S.H.;handle: 10261/275204 , 20.500.11850/554996 , 11104/0332000
pmid: 35716508
Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models. Environment International, 166 ISSN:1873-6750 ISSN:0160-4120
Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Clermont Université; HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envint.2022.107325&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 35 citations 35 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 53visibility views 53 download downloads 211 Powered bymore_vert Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Clermont Université; HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envint.2022.107325&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021Publisher:Elsevier BV Publicly fundedFunded by:EC | CONNECTING Nature, UKRI | SustAinable BiOdegradable...EC| CONNECTING Nature ,UKRI| SustAinable BiOdegradable Tooling SABOTMohammadhossein Ghahramani; Nadina J. Galle; Fábio Duarte; Carlo Ratti; Francesco Pilla;Abstract Continued population growth and urbanization is shifting research to consider the quality of urban green space over the quantity of these parks, woods, and wetlands. The quality of urban green space has been hitherto measured by expert assessments, including in-situ observations, surveys, and remote sensing analyses. Location data platforms, such as TripAdvisor, can provide people’s opinion on many destinations and experiences, including UGS. This paper leverages Artificial Intelligence techniques for opinion mining and text classification using such platform’s reviews as a novel approach to urban green space quality assessments. Natural Language Processing is used to analyze contextual information given supervised scores of words by implementing computational analysis. Such an application can support local authorities and stakeholders in their understanding of–and justification for–future investments in urban green space.
City and Environment... arrow_drop_down City and Environment InteractionsArticle . 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cacint.2021.100058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert City and Environment... arrow_drop_down City and Environment InteractionsArticle . 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cacint.2021.100058&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020 France, United KingdomPublisher:Elsevier BV Funded by:EPA, FCT | Center for Environmental ..., EC | ERA4CS +1 projectsEPA ,FCT| Center for Environmental and Sustainability Research ,EC| ERA4CS ,UKRI| Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National StrategyYves-Marie Saint-Drenan; Romain Besseau; Malte Jansen; Iain Staffell; Alberto Troccoli; Laurent Dubus; Johannes Schmidt; Katharina Gruber; Sofia Simoes; Siegfried Heier;A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; however, the power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community. Comment: preprint submitted to Renewable Energy
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2020.04.123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 6visibility views 6 download downloads 180 Powered bymore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2020.04.123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu