![]() ![]() e.Deorbit aimed at removing a large piece of ESA-own space debris from orbit, providing an early demonstration of the required clean space technologies. The e.Deorbit mission used MBSE more extensively with a highly integrated and collaborative MBSE approach to system modelling. The model was then provided as an input to the phase A study with the industrial team. An early pioneer was the e.Inspector mission - to inspect an uncontrolled satellite and assess the viability of a subsequent deorbit mission - which complemented the initial CDF study outputs with a MBSE requirement and functional model. The ESA Clean SpaceOffice was the first to investigate the use of MBSE in many of its activities. ![]() A substantial effort is being dedicated to develop a model-based engineering hub, enabling the smooth communication and data exchange within this heterogeneous ecosystem. There is a variety of MBSE solutions used by the missions teams, both at ESA and in industry. Phase A/B1 studies are the study phases dedicated to defining the early feasibility of an ESA mission. COMET provides a centralised, collaborative data model that enables engineers to work with near real-time synchronisation between all stakeholders. For building shared engineering budgets, the COMET tool is used. The ESA Concurrent Design Facility ( CDF) uses MBSE to support its feasibility assessment of new missions, payloads or space system concepts (early phase 0). Selected examples are given to highlight how ESA missions are using MBSE at mission or system level, and throughout the different implementation phases (covering phase 0 – phase C/D). Several ESA missions have now embraced MBSE, adopting a digital engineering approach throughout the mission specific system life cycle, technical disciplines, and supply chain. This is used to manage the growing complexity of the system design and development, while maintaining the traceability, consistency, and optimisation of the mission architecture – retaining system knowledge, by capturing decisions and design trends. Data models are used to create a digital representation of the different mission elements, subsystems and equipment of the space system, including their interdisciplinary relationships. ![]() A model-centric approach to data and information management provides an unambiguous authoritative source of truth, based on a common language and digital approach. Information that is traditionally captured and exchanged in the form of documents and Excel tables is instead expressed as a set of data-driven, rigorously structured models. Reaching these ambitious targets requires more than just technology improvement, but also a change in the spacecraft development process and engineering mind-set. ESA seeks a 30 % improvement in the spacecraft development time and improved cost efficiency by an order of magnitude with every generation. Revolutionising the traditional, document driven approach to system engineering is key to ESA’s Technology Strategy and Agenda 2025. Improvements in both time and cost can be achieved by placing digital models at the centre of the engineering process, providing a common understanding of the system engineering design, and thus reducing inefficiencies and mistakes due to inconsistent information in disjointed documentation. MBSE provides a powerful digital framework for representing complex systems. This model-centric approach is known as Model Based System Engineering (MBSE). Often, these disciplines are linked by data models, to ensure that engineering data stays consistent across different projects and activities. New methods need to be found to manage information and projects as they move between different engineering disciplines. The space industry is entering a new era of digital engineering and information management. ![]()
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