The study proposes a methodological approach for organizing, storing, and handling diverse data across disciplines using digital systems structured on the internet with a multi-level strategy. This workflow follows traditional knowledge process steps, storing and organizing outcomes in a unified web-based model using pre-existing ontologies. The goal is to distribute data among stakeholders and establish a decision support system for the energy community. The digital twin implementation integrates IoT technologies, Big Data analysis, and territorial modeling, enabling energy management solutions at both individual (residential) and larger (community) scales.
Digital twins in building management: boosting efficiency in renewable energy communities
Quaquero E.;
2024-01-01
Abstract
The study proposes a methodological approach for organizing, storing, and handling diverse data across disciplines using digital systems structured on the internet with a multi-level strategy. This workflow follows traditional knowledge process steps, storing and organizing outcomes in a unified web-based model using pre-existing ontologies. The goal is to distribute data among stakeholders and establish a decision support system for the energy community. The digital twin implementation integrates IoT technologies, Big Data analysis, and territorial modeling, enabling energy management solutions at both individual (residential) and larger (community) scales.File | Dimensione | Formato | |
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EC3_2024_Rubiu_Quaquero.pdf
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