Russo, Giuseppe (2024) Integration and optimisation of urban-scale energy systems: From end-user to building to urban energy districts. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Integration and optimisation of urban-scale energy systems: From end-user to building to urban energy districts |
| Autori: | Autore Email Russo, Giuseppe giuseppe.russo9@unina.it |
| Data: | 18 Novembre 2024 |
| Numero di pagine: | 274 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Grassi, Michele michele.grassi@unina.it |
| Tutor: | nome email Buonomano, Annamaria [non definito] Forzano, Cesare [non definito] |
| Data: | 18 Novembre 2024 |
| Numero di pagine: | 274 |
| Parole chiave: | Urban Energy Systems, Energy district network, End-users-Buildings-Districts Modelling Integration. |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/11 - Fisica tecnica ambientale |
| Informazioni aggiuntive: | Corso di dottorato frequentato: Dottorato in Ingegneria Industriale, 37° Ciclo. |
| Depositato il: | 18 Nov 2025 14:49 |
| Ultima modifica: | 12 Ago 2026 05:37 |
| URI: | https://www.fedoa.unina.it/id/eprint/16389 |
Abstract
The increasing urbanisation of modern societies necessitates advanced approaches to urban energy systems that support the transition to sustainable and low-carbon cities. This dissertation introduces a structured framework for urban-scale energy system modelling, designed to address complex and interdependent energy demands across three key scales: end-user, building systems, and district systems. By capturing the distinct needs and interactions at each scale, this research provides a holistic approach to optimising energy use, reducing emissions, and enhancing resilience within urban areas. The study explores occupant behaviour at the end-user level to inform demand management strategies that align energy use with real comfort requirements. Building systems modelling is then developed to integrate renewable energy sources, storage, and control mechanisms that enhance efficiency while addressing dynamic building demands. Finally, at the district level, the research introduces models for coordinated energy management across district heating and cooling systems and energy communities, enabling high self-sufficiency, balanced energy flows, and emissions reduction on a broader urban scale. Employing both physics-based and data-driven modelling approaches, this work provides essential insights and optimised strategies tailored to urban contexts. These models contribute valuable tools for urban planners, engineers, and policymakers, enabling informed decision-making for sustainable, energy-efficient cities. Overall, the dissertation underscores the critical role of urban energy system modelling in supporting the energy transition and in achieving adaptable, resilient, and occupant-centred urban environments.
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