Book of abstracts International conference on solar power technologies – SPTech2021
Notice bibliographique
Résumé
Organized by Faculty of Engineering - University of Porto in partnership with LEPABE, Dyenamo and Pixel Voltaic. The SPTech 2021 online conference gathered leading solar energy researchers from around the world. The 4 days event brought together experienced scientists and talented researchers to discuss the current status of: Solar Fuels and Storage Technologies : Solar energy conversion and storage systems; Photoelectrochemical cells for water splitting; Photoelectrochemical CO 2 reduction; Solar redox flow cells; Novel photoabsorbers and electrocatalysts; Fundamental studies and advanced characterization; Devices and system demonstration: sustainability and scalability. Dye-Sensitized Solar Cells: Fundamentals and current developments; Materials, substrates, dyes, co-adsorbents, charge transport layers, electrolytes and additives; Simulation, modelling, design and testing; Flexible, transparent, photochromic, solid, and quasi solid-state devices; Integrated systems; DSSCs for low power applications; Market targeting developments. Perovskite Solar Cells: New materials for highly efficient cells; Single and multi-junction; Pb-free absorber; Environmental impact and cost analysis; Stability and encapsulation; Fundamental studies and advanced characterization; Machine learning, modelling and simulation studies; Large area, module and industrialization. The first edition of International Conference on Solar Power Technologies (SPTech 2021) was a virtual event hosted by University of Porto. The conference was entirely organized by a team of experienced scientists and PhD students affiliated to Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE). The website of the conference was designed by the organizing team to form a new generation user friendly online conferences with great features for the attendees. We are proud to introduce the ePoster game for the first time at SPTech 2021 event. The game was built with a map, which is a combination of the main building of the Faculty of Engineering of University of Porto alongside beach to transmit the feeling of a virtual visit to the venue. Our aim was not only to ensure the scientific quality of the event but also the cultural side of the venue. Therefore, the game included various information and pictures of the Portuguese culture. We have invited speakers from around the world to deliver high-quality talks on the status of the research. The invited speakers were carefully selected to balance experienced scientists in their research field and talented young researchers. One of the main values of the SPTech conference is to give priority to younger researchers to get to the spotlight. Over 890 registrations were made at the website of the event to join the first edition of the SPTech conference. More than 60 nationalities have tuned in for SPTech 2021 event The SPTech 2021 conference was a free event for all attendees. The expenses of the conference were provided by the organizers and sponsors of the event. We would like to acknowledge the financial support from the Department of Chemical Engineering (DEQ) – University of Porto and Laboratory for Process Engineering (LEPABE). We are grateful to our platinum sponsors Dourogás Renovável and EFACEC for their assistance. Our warmest thanks to our gold sponsors G+Lyte, AdEPorto and FOMTechnologies for their sponsorship. Finally, we would like to acknowledge journals of Energies and F1000Research for sponsoring the scientific awards for best poster and oral presentations. What SPTech offered to the attendees… Opening talk by Prof. Michael Grätzel (École Polytechnique Fédérale de Lausanne -EPFL) on “Mesoscopic photosystems for the generation of electricity and fuels from sunlight”; 7 sessions on recent developments on topics of photoelectrochemical water splitting, solar redox flow cells, solar-driven carbon dioxide reduction, dye-sensitized solar cells and perovskite solar cells; Inspiring keynote talks by Song Jin (University of Wisconsin-Madison), Joel W. Ager (UC Berkeley), Gerrit Boschloo (Uppsala University), Elizabeth Gibson (Newcastle University), Marina Freitag (Newcastle University), Shuzi Hayase (University of Electro-Communications, Tokyo), Monica Lira-Cantu (Catalan Institute of Nanoscience and Nanotechnology - ICN2) and Stefaan De Wolf (King Abdullah University of Science and Technology); Panel discussion moderated by Roel van de Krol (Helmholtz-Zentrum Berlin) on “Energy storage and fuels” with Nuno Moreira (Dourogás), Hugo Campelo (EFACEC), Stephan Herbst (Toyota Motor Europe) and Helmut Ehrenberg (Karlsruhe Institute of Technology); Panel discussion moderated by Emiliano Bellini (PV magazine) on “Near and distant future of Perovskite Solar Cells” with Maria Laura Parisi (University of Siena), Chris Case (Oxford PV), Olle Lundberg (Evolar AB), and Pedro Sousa (EFACEC); Lots of chances for networking and discussions. -------------------------------------------------------------------------------- International Conference on Solar Power Technologies (SPTech) Faculdade de Engenharia da Universidade do Porto Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal www.solar-power-tech.com
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,301 | 0,160 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».