Innovate, Manufacture, Deploy & Operate
Harness advanced computation and analytics and maximize the potential of your energy technology or projects. By leveraging these tools, you can unlock significant benefits and drive optimal performance.
Lifecycle Management - Innovators, Manufactures, Developers, Financial Institutions
Thoroughly assessing the vulnerabilities present in the supply chain allows for the development of robust strategies to enhance resilience, thereby guaranteeing the availability and sustainability of critical materials and components essential for clean energy technologies. By gaining a comprehensive understanding of these vulnerabilities and taking proactive measures to address them, we can effectively mitigate potential disruptions and ensure the long-term viability and efficacy of clean energy technologies. Additionally, our model offers a quantitative benchmarking framework that evaluates both the resilience and sustainability of the supply chain, providing valuable insights for comparison against the established lithium-ion technology.
Lifecycle Management | Manufactures | Applications
The primary objective of our model is to leverage the capabilities of high-performance computing and natural language processing to unlock invaluable insights pertaining to battery supply chains and recycling decisions, thereby advancing the development of a more sustainable energy storage supply chain. Specifically, the model empowers users to:
Benchmark production using recycled materials against production employing virgin materials, providing a comprehensive assessment of the benefits and trade-offs associated with battery recycling
Estimate the cost and environmental impacts of prevailing industrial practices across the battery supply chain, identifying critical cost and environmental focal points, and evaluating the potential implications of business decisions and market dynamics; and
Benchmark novel technologies/processes against existing practices within the battery industry, examining the potential changes in cost and environmental impacts as the new technology/process scales up.