Energy optimization assistant

Tela? agentic-AI assistant in OptiSite? facility, equipment, and pipeline solutions

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Instantly detect performance optimization opportunities.

Overview

Tela in OptiSite solutions helps operators improve facility energy performance through AI-driven insights, process simulation, and real-time monitoring. By combining OptiSite solutions with physics-informed AI and Symmetry? software process twins, the Energy Optimization Assistant continuously identifies inefficiencies, recommends corrective actions, and supports proactive energy management.

 

Challenges

  • Energy performance data is often distributed across multiple facility subsystems.
  • Identifying inefficiencies can require extensive manual monitoring and analysis.
  • Optimization opportunities may go unnoticed until performance has already degraded.
  • Limited visibility into real-time energy performance can delay corrective actions.
  • Higher energy consumption increases operating costs and reduces overall efficiency.

Solution

  • Provide continuous visibility into facility energy performance.
  • Combine physics-informed AI with process twins powered by Symmetry software.
  • Analyze real-time operational data to identify inefficiencies and optimization opportunities.
  • Deliver actionable recommendations to improve energy performance.
  • Enable operators to move from reactive energy management to proactive optimization.

Tela catalog

Tela catalog

Tela catalog

Features

  • LLM-Powered Agents – Analyze real-time energy data and recommend optimization actions.
  • Simulation Integration – Combine Symmetry software process models with AI reasoning to support precise optimization strategies.
  • Data-Driven Insights – Leverage physics-informed AI models and domain knowledge to assess process efficiency and identify deviations.

Benefits

  • Real-Time Performance Monitoring – Maintain continuous visibility into energy consumption across facility subsystems.
  • Rapid Detection of Inefficiencies – Identify performance deviations and optimization opportunities as they emerge.
  • Reduce Energy Use and Operating Costs – Receive recommendations that help minimize waste and improve operational efficiency.
  • Automated Reporting – Generate contextual, natural-language outputs that reduce manual analysis and reporting effort.
  • Proactive Energy Management – Act on insights sooner to improve facility performance and sustain efficiency gains.