Taiwan's Circular Economy Boosted by NTU's AI-Driven 2030 Roadmap
Taiwan is stepping up its circular economy efforts, with researchers from National Taiwan University developing an AI-assisted workflow to achieve its 2030 goals. Nine policy scenarios were explored using dynamic simulations based on material flow data from 2013 to 2022.
The innovative workflow combines multimodal GPT technology with system dynamics modeling. The AI process, involving six distinct stages (GPT1-GPT6), interprets complex system diagrams and transforms them into executable simulation models. These simulations project a significant increase in the national circular material use rate, from 22% in 2022 to a potential 29% by 2030. Additionally, resource productivity could rise from NT$65 to NT$88 per kilogram by 2030. This AI-driven approach offers valuable data-driven insights for policymakers in Taiwan and beyond.
The AI-assisted workflow developed by National Taiwan University researchers promises substantial progress towards Taiwan's circular economy goals. By 2030, it could significantly enhance material use efficiency and resource productivity, providing a roadmap for policymakers to guide the nation's circularity efforts.
Read also:
- Planned construction of enclosures within Görlitzer Park faces delays
- Controversy resurfaces following the elimination of diesel filter systems at Neckartor: A renewed conflict over the diesel restriction policy
- Renewable energy sources take over nuclear power and decrease overall emissions concurrently
- District Heat System Explanation
