Is Your Energy System Built to Handle the Next Disruption?

Building an Interregional Transmission Overlay for a Resilient U.S. Grid

The white paper discusses the need for a U.S. Interregional Transmission Overlay to address challenges such as aging infrastructure, increasing data center demand, and integrating renewable energy sources. It highlights how this overlay using HVDC and EHVAC technologies could enhance grid resilience, reduce costs, and connect renewable-rich areas with major demand centers. The paper outlines key challenges like planning coordination, investment barriers, and regulatory uncertainties that must be overcome. It also suggests actionable steps for utilities and developers to take, emphasizing the importance of a more interconnected grid to meet future demands and ensure reliability.

AI is changing the grid. Could it help more than it harms?

The increasing use of AI is driving a surge in electricity demand that could reshape the grid, with data centers consuming 80% more energy from 2020 to 2025. While some believe AI will benefit the grid by enabling faster clean power integration and more efficient operations, concerns exist about its negative impacts on local grids and communities. AI is already aiding in forecasting electricity supply and demand, potentially reducing inefficiencies and emissions. However, skepticism remains about AI's ability to fully deliver on its promises in power systems, especially as data center electricity demand is projected to double by the end of the decade.

Power Grid Congestion Is a Problem. Here’s a Solution

Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.