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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

KPI metrics (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Publicaciones

Physics-Based Dynamic Modeling of Solar-Powered Off-Grid Cold Storage for Perishables Using Modelica: A Case Study – Xingalool, Somalia (se abrirá en una nueva ventana)

Autores: Bahareh Bakhsh Zahmatkesh, Mina Shahi, Amirhoushang Mahmoudi
Publicado en: Linköping Electronic Conference Proceedings, Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Edición 218, 2025
Editor: Linköping University Electronic Press
DOI: 10.3384/ECP218939

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

Autores: Slaviero, G.; Traverso, D; Traverso, F.; Noro, M.; Zilio, C.; Mancin, S.
Publicado en: 2024
Editor: 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 (se abrirá en una nueva ventana)

Autores: Slaviero G.; Zilio C.; Noro M.; Traverso D.; Traverso F.; Mancin S.
Publicado en: Journal of Energy Storage, 2025, ISSN 2352-152X
Editor: Elsevier
DOI: 10.2139/SSRN.4947154

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