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CORDIS - Forschungsergebnisse der EU
CORDIS

Advancing sustainable AGRIculture through off-grid energy and COOLing solutions in Africa

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

KPI metrics (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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.

Veröffentlichungen

Physics-Based Dynamic Modeling of Solar-Powered Off-Grid Cold Storage for Perishables Using Modelica: A Case Study – Xingalool, Somalia (öffnet in neuem Fenster)

Autoren: Bahareh Bakhsh Zahmatkesh, Mina Shahi, Amirhoushang Mahmoudi
Veröffentlicht 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), Ausgabe 218, 2025
Herausgeber: Linköping University Electronic Press
DOI: 10.3384/ECP218939

Off-grid cold room with latent thermal energy storage for food preservation

Autoren: Slaviero, G.; Traverso, D; Traverso, F.; Noro, M.; Zilio, C.; Mancin, S.
Veröffentlicht in: 2024
Herausgeber: Proceedings “14th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning”

Feasibility study of potential application of off-grid cold room with LTES for food preservation in remote areas of Africa (öffnet in neuem Fenster)

Autoren: Slaviero G.; Zilio C.; Noro M.; Traverso D.; Traverso F.; Mancin S.
Veröffentlicht in: Journal of Energy Storage, 2025, ISSN 2352-152X
Herausgeber: Elsevier
DOI: 10.2139/SSRN.4947154

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