CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
KPI metrics: A comprehensive list of Key Performance Indicators (KPIs) and their corresponding calculation equations will be provided. These KPIs will play a crucial role in benchmarking the testing processes conducted in WP3, WP4, and WP5 for both components and the overall system. It refers to task 2.4.
Energy demand (si apre in una nuova finestra)Energy demand: The energy demand for each DEMO site will be presented for a one-year period, accounting for seasonal variations. This encompasses both electricity consumption and cooling demand. It refers to task 2.2.
Preliminary SEDO plan (si apre in una nuova finestra)Preliminary SEDO plan: Initial blueprint detailing key messages, target audiences, and activities for stakeholders' engagement, dissemination, and outreach. Foundational for refining and implementing the comprehensive SEDO strategy throughout the project. It refers to task 8.1.
Educational Needs (si apre in una nuova finestra)Educational Needs: This report presents a thorough analysis of the educational requirements within the African context for stakeholders involved in the AGRI-COOL project. The resulting documentation serves as a foundational guide for crafting a tailored educational program to address these needs. It refers to task 7.5.
Background Report (si apre in una nuova finestra)Background Report: The Background Report provides a detailed overview of each demonstration site, incorporating historical weather data and key specifications such as site size, crop types, and frequency of harvest. This foundational document ensures precise adaptation of the AGRI-COOL system to the unique conditions of each site. It refers to task 2.1.
System model: The dynamic system model for AGRI-COOL, encompassing all components and their interactions, is developed. This model, serving as the foundation for the development of the Digital Twin (DT), incorporates input data including weather data, crop type, and quantity. It refers to task 4.2.
Pubblicazioni
Autori:
Bahareh Bakhsh Zahmatkesh, Mina Shahi, Amirhoushang Mahmoudi
Pubblicato in:
Linköping Electronic Conference Proceedings, Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Numero 218, 2025
Editore:
Linköping University Electronic Press
DOI:
10.3384/ECP218939
Autori:
Slaviero, G.; Traverso, D; Traverso, F.; Noro, M.; Zilio, C.; Mancin, S.
Pubblicato in:
2024
Editore:
Proceedings “14th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning”
Autori:
Slaviero G.; Zilio C.; Noro M.; Traverso D.; Traverso F.; Mancin S.
Pubblicato in:
Journal of Energy Storage, 2025, ISSN 2352-152X
Editore:
Elsevier
DOI:
10.2139/SSRN.4947154
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