life cycle assessment ↔ artificial intelligence

Relations (1)

related 2.00 — strongly supporting 3 facts

Artificial intelligence is used to enhance and improve the accuracy of life cycle assessment (LCA) methodologies, as evidenced by its role in scenario modeling [1], managing complex data across system lifetime stages [2], and specifically optimizing the assessment of renewable energy systems [3].

Facts (3)

Sources

Global perspectives on energy technology assessment and ... link.springer.com Springer 3 facts

claimArtificial intelligence can be applied to enhance the lifecycle assessment of renewable energy systems.

claimArtificial intelligence enables the management of complex data in renewable energy systems by aligning data usage with the system lifetime stages of extraction, manufacturing, operation, and decommissioning, overcoming the limitations of traditional life cycle assessment formats.

claimArtificial intelligence improves life cycle assessment (LCA) by enhancing forecasting and scenario modeling, which provides policy makers and companies with greater clarity regarding the environmental impacts of AI-enabled products and processes.