CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
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 (opens in new window)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 (opens in new window)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 (opens in new window)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 (opens in new window)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.
Publications
Author(s):
Bahareh Bakhsh Zahmatkesh, Mina Shahi, Amirhoushang Mahmoudi
Published 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), Issue 218, 2025
Publisher:
Linköping University Electronic Press
DOI:
10.3384/ECP218939
Author(s):
Slaviero, G.; Traverso, D; Traverso, F.; Noro, M.; Zilio, C.; Mancin, S.
Published in:
2024
Publisher:
Proceedings “14th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning”
Author(s):
Slaviero G.; Zilio C.; Noro M.; Traverso D.; Traverso F.; Mancin S.
Published in:
Journal of Energy Storage, 2025, ISSN 2352-152X
Publisher:
Elsevier
DOI:
10.2139/SSRN.4947154
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