Dynamic Ampacity Management

Dynamic Ampacity Management

Incorporate real-time environmental and operational data to harness full infrastructure potential, avoiding the pitfalls of a static approaches

Challenges

  • Global electricity demand is projected to grow by 50% by 2050. (IEA)
  • 70% of US T&D lines are past the second half of their lifespans (Infrastructure Report Card)
  • Congestion costs for RTOs have grown 3x between 2020 and 2022, reaching $12 billion (Grid Strategies LLC)
  • From 2013 to 2020, transmission lines have expanded at only about 1% per year.(CNBC)
  • Transmission expansion is costly: the Northland Reliability Project in Minnesota is set to cost $6.5 million per mile for a 345 Kv line, for example. (CNBC)
  • Building new lines, including planning and permitting, typically spans 5 to 15 years. (IEA)

Solutions

  • Aggregate real-time operational metrics and environmental data from transmission lines and weather sources
  • Process data with advanced algorithms to determine dynamic ampacity and temperature profiles.
  • Apply predictive analytics with real-time system capacity and future performance forecasts.
  • Assess customizable dashboards for insights on grid management and capacity planning decisions.
  • Receive alerts for preemptive action and optimization recommendations to enhance performance and avoid overloads.
  • Seamlessly integrate with systems in place and automate control responses.
  • Continuously, improve predictions over time, with a feedback loop for a tailored, evolving solution

Results