This thesis, based on a case study derived from my internship conducted between April and November 2023, explores the landscape of infrastructure management, focusing on maintenance and emphasising the importance of a coordinated and collaborative approach. The main objective is to propose an efficient approach for the implementation of a Common Data Environment (CDE) in the management of energy infrastructures, using the development of a CDE platform for gas distribution as a significant case study. The research journey begins with an analysis of key actors within the CDE framework, recognising the roles of operators, designers, and stakeholders. The introduction of Key Performance Indicators (KPIs) serves as an evaluative tool to measure the effectiveness of the solution, ensuring alignment with broader objectives. The critical phase of software selection is then explored, highlighting the need to align project requirements with the chosen software's capabilities. The research continues with the details of CDE implementation, covering configuration and customisation and comparing it with "Out of the Box" (OOTB) functionalities. It analyses the integration with People and Organisation (P&O) and proposes guidelines for document management. The creation of a comprehensive asset data model is briefly mentioned to ensure a detailed digital representation of intricate energy infrastructures, with an in-depth analysis of data migration complexities during the transition to a CDE. A distinctive element of this case study is the integration of the CDE with Building Information Modelling (BIM) models of assets and a Geographic Information System (GIS) for the national network. This innovative approach further enhances the understanding and management of infrastructures, providing a detailed context for maintenance optimisation and the prediction of potential issues.The heart of the research is the case study, focusing on optimising the maintenance of gas distribution networks. This provides significant insights into the innovative processes of digitisation, predictive maintenance, and the associated challenges and successes. The case study serves as a practical guide for those undertaking similar paths in managing infrastructures with extensive territorial coverage.These digital environments offer real-time access to critical data, providing stakeholders with the necessary information for informed decision-making and streamlining maintenance processes. The thesis emphasises the promise of predictive maintenance as a powerful tool to optimise resource allocation and prevent critical failures, ensuring the longevity and stability of energy infrastructures. Integration with a CDE unlocks the full potential of digital assets, ensuring efficiency, resilience in the face of changing energy needs, and paving the way for further innovation and progress in the sector.
Questa tesi, basata su un caso studio derivato dal mio tirocinio svolto tra aprile e novembre 2023, esplora il panorama della gestione delle infrastrutture, concentrandosi sulla manutenzione e sottolineando l'importanza di un approccio coordinato e collaborativo. L'obiettivo principale è proporre un approccio efficiente per l'implementazione di un Common Data Environment (CDE) per la gestione delle infrastrutture energetiche, utilizzando lo sviluppo di una piattaforma per la distribuzione del gas. Il percorso di implementazione inizia con un'analisi degli attori chiave all'interno del framework del CDE, riconoscendo i ruoli di operatori, progettisti e stakeholder. L'introduzione dei Key Performance Indicators (KPI) funge da strumento valutativo per misurare l'efficacia della soluzione, garantendo un allineamento con obiettivi più ampi. Successivamente viene esplorata la fase critica della selezione del software, evidenziando la necessità di allineare i requisiti del progetto con le funzionalità del software scelto. La ricerca approfondisce poi i dettagli dell'implementazione del CDE, coprendo la configurazione e personalizzazione e confrontandola con le funzionalità "Out of the Box" (OOTB), analizzando la People & Organization (P&O), e proponendo delle linee guida per gestione dei documenti. La creazione di un modello dati di asset completo viene poi accennato per garantire una rappresentazione digitale dettagliata delle intricate infrastrutture energetiche, con un'analisi approfondita delle complessità della migrazione dei dati durante la transizione all’uso un CDE. Un elemento distintivo di questo caso studio è l'integrazione del CDE con i modelli Building Information Modelling (BIM) degli asset e un Geographic Information System (GIS) per la rete nazionale. Questo approccio innovativo amplifica ulteriormente la comprensione e la gestione delle infrastrutture, fornendo un contesto dettagliato per l'ottimizzazione della manutenzione e la previsione di potenziali criticità. Il cuore della ricerca è il caso studio, focalizzato sull'ottimizzazione della manutenzione delle reti di distribuzione del gas. Questo offre insights significativi sul processo di digitalizzazione, manutenzione predittiva e sulle sfide e i successi associati. Il caso studio funge da guida pratica per coloro che intraprendono percorsi di gestione simili per infrastrutture con una grossa estensione territoriale. Questi ambienti digitali offrono accesso in tempo reale a dati critici, fornendo agli stakeholder le informazioni necessarie per decisioni informate e per semplificare ed ottimizzare i processi di manutenzione. La tesi sottolinea la promessa della manutenzione predittiva come strumento per ottimizzare l'allocazione delle risorse e prevenire fallimenti, garantendo la longevità e la stabilità delle infrastrutture. L'integrazione con un CDE sblocca dunque il pieno potenziale degli asset digitali, garantendo efficienza, resilienza di fronte alle mutevoli esigenze energetiche, e prepara il terreno per ulteriore innovazione e progresso nel settore.
The role of the Common Data environment in digitalising energy infrastructures throughout their lifecycle
BELLAVITI, SERENA
2022/2023
Abstract
This thesis, based on a case study derived from my internship conducted between April and November 2023, explores the landscape of infrastructure management, focusing on maintenance and emphasising the importance of a coordinated and collaborative approach. The main objective is to propose an efficient approach for the implementation of a Common Data Environment (CDE) in the management of energy infrastructures, using the development of a CDE platform for gas distribution as a significant case study. The research journey begins with an analysis of key actors within the CDE framework, recognising the roles of operators, designers, and stakeholders. The introduction of Key Performance Indicators (KPIs) serves as an evaluative tool to measure the effectiveness of the solution, ensuring alignment with broader objectives. The critical phase of software selection is then explored, highlighting the need to align project requirements with the chosen software's capabilities. The research continues with the details of CDE implementation, covering configuration and customisation and comparing it with "Out of the Box" (OOTB) functionalities. It analyses the integration with People and Organisation (P&O) and proposes guidelines for document management. The creation of a comprehensive asset data model is briefly mentioned to ensure a detailed digital representation of intricate energy infrastructures, with an in-depth analysis of data migration complexities during the transition to a CDE. A distinctive element of this case study is the integration of the CDE with Building Information Modelling (BIM) models of assets and a Geographic Information System (GIS) for the national network. This innovative approach further enhances the understanding and management of infrastructures, providing a detailed context for maintenance optimisation and the prediction of potential issues.The heart of the research is the case study, focusing on optimising the maintenance of gas distribution networks. This provides significant insights into the innovative processes of digitisation, predictive maintenance, and the associated challenges and successes. The case study serves as a practical guide for those undertaking similar paths in managing infrastructures with extensive territorial coverage.These digital environments offer real-time access to critical data, providing stakeholders with the necessary information for informed decision-making and streamlining maintenance processes. The thesis emphasises the promise of predictive maintenance as a powerful tool to optimise resource allocation and prevent critical failures, ensuring the longevity and stability of energy infrastructures. Integration with a CDE unlocks the full potential of digital assets, ensuring efficiency, resilience in the face of changing energy needs, and paving the way for further innovation and progress in the sector.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/217255