The ECO-SPACE user portal is your central hub for accessing and managing space sustainability tools and resources. It provides a streamlined gateway for users to access the latest versions of the tools and use built-in features to retrieve updates. Registered users can also submit support requests, report issues, and receive expert guidance for troubleshooting.Contact Us
SSSD LCA allows to assess the environmental impacts of space products or systems through the Life-Cycle Assessment methodology, from raw material extraction and manufacturing to launch, operation, and end-of-life disposal. The Strathclyde Space Systems Database (SSSD) is a new process-based tool to determine the life cycle sustainability impacts of space systems. It integrates data-driven analysis, sustainability metrics, and industry standards to provide insights into resource consumption, carbon footprint, and environmental trade-offs. Validated at ESA through a collaborative project in late 2018, the SSSD has already been used by multiple stakeholders in the design of several space system concepts. The database features unique foreground space-specific life cycle sustainability datasets, which each contain environmental, costing and social data.
NESSY is a comprehensive tool that models the space environment as a dynamic temporal network, where each node is a group of objects of a given type and their relationship is represented by links, to study the relationships among space objects and the spread of catastrophic collision or explosion events. With NESSY, study the percolation dynamics of a complex network representing the space environment, its dynamics and the temporal evolution of the relationships among resident objects. Percolation in a complex network is the condition such that the consequences of an event occurring at one node diffuse, over time, to all other connected nodes. Percolation dynamics is how percolation and diffusion rate evolve in time. The more nodes are connected, and the more rapid diffusion is, the faster and wider the consequences of any collision or explosion spread. Hence, percolation and diffusion rates can be used as indicators of the global health of the environment.
MOCAT is a set of modelling tools created to understand the long-term sustainability of the LEO environment. There are two distinct methods – the Source-Sink Evolutionary Model (SSEM) and the Monte-Carlo (MC) methods. MOCAT-SSEM divides the entire LEO population into a few object types, which interact at the population level within each altitude shell. The dynamics that govern the population is represented by a set of differential equations, which makes this method computationally efficient. MOCAT-MC is a Monte-Carlo tool propagates all LEO objects and models interaction at each timestep. As an MC-based tool, MOCAT-MC simulates the evolution of the LEO environment and models the interaction of each object with one another to understand the population evolution. The Cube method is used for stochastically sample collisions, and the NASA Standard Breakup model is used for collision debris generation, while a variety of atmospheric model and propagators can be used. MOCAT-ML is the most recent addition to the MOCAT family, leveraging the growing capabilities of artificial intelligence and machine learning. Since the advent of neural networks, both architectural designs and training algorithms have evolved significantly, leading to major improvements in performance, data efficiency, and scalability.
EDDY is an AI agent serving as an intelligent interface for interacting with ECO-SPACE tools. Users can interact with the EDDY and learn more about the tools, how to run them, and ask questions about the results/outputs for each tool. EDDY can analyze, visualize, generate insights and graphical representations. It understands and executes natural language commands, allowing users to intuitively control the full suite of tools within ECO-SPACE. Users have access to a vast repository of knowledge on space technologies, sustainability, and operational strategies. EDDY enhances learning, and decision-making by providing instant, AI-powered insights tailored to the needs of researchers, engineers, and space industry professionals. Whether you are seeking explanations of complex aerospace concepts, comparisons of different sustainability approaches, or insights into the latest advancements, EDDY is your intelligent guide - making information more accessible and actionable.
