Book Demo
Book Demo
Energy Foresight
Get detailed information before implementing upgrades
Retrofit option simulation
Predicted cost and CO₂ impact
Reliability and bottleneck assessment
For Data center cooling, Manufacturing HVAC, District energy systems , Thermal storage
Trusted by leading data centers, manufacturers, and energy innovators.
Retrofit and Scenario Simulation
Test retrofit decisions before you spend a dollar
etaONE® simulates retrofit options and operating scenarios against a physics-based model of your full system, so you can predict their impact before making a single change on site.
Different equipment replacement or upgrade options are simulated in the context of your full energy system, so you can compare likely performance before purchasing or installing new assets.
Each option is evaluated for how it affects operational energy use, related costs, and emissions under expected conditions, so investment and sustainability decisions rest on expected impact rather than vendor assumptions alone.
Simulations test how a proposed change affects system stability, resilience, and bottleneck risk, so you can avoid options that look efficient on paper but weaken operational robustness.
Stress cases such as peak loads, adverse weather, and unusual demand are modeled, and proposed control or process changes are simulated before going live, so weak points become visible before they cause problems in real operation.
What You Get
System-Level AI Control Built on Digital Twins
The solution can be introduced step by step, starting with a focused use case and scaling across additional systems, assets, or sites oncethe business case is validated.
Retrofit Option Simulation
Different equipment replacement or upgrade options are simulated in the context of the full energy system. You can compare likely performance before purchasing or installing new assets.
Predicted Cost Impact
The model estimates how each option affects operational energy use and related costs under expected operating conditions. Investment decisions are based on expected economic impact, not on vendor assumptions alone.
Predicted CO₂ Impact
Simulations show how equipment or operational changes influence emissions based on system behavior and energy consumption. Sustainability targets can be evaluated along side technical and financial performance.
Reliability Impact Assessment
The simulation tests how proposed changes affectsystem stability, resilience, and bottleneck risk. Teams can avoid options that look efficient on paper but weaken operational robustness.
Extreme Scenario Testing
The system models stress cases such as peak loads, adverse weather, unusual demand, or other extreme operating conditions. Weak points become visible before they cause problems in live operation.
Operational Change Simulation
Proposed control, process, or operational changes are simulated before being introduced into the real system. Teams can evaluate effects safely before making disruptive changes on site.
Simple Process
How it works
etalytics follows a structured three-step deployment model.
Platform integration
We connect to existing infrastructure such as SCADA, BMS, PLCs, historians, submeters, utility interfaces, weather data, and relevant tariff or market signals. The standard approach is to use existing data, sensors, meters, and control infrastructure first instead of adding new hardware.
Digital twin setup
We structure data by system, asset, and energy flow, then model the relevant physical and operational relationships. This creates transparency, identifies inefficiencies, validates optimization potential, and can provide virtual measurements such as estimated volume flows when direct measurements are not available.
AI control deployment
Based on the validated system understanding, etalytics deploy optimization logic in open-loop recommendation mode or closed-loop adaptive control. Control actions operate within defined boundaries and include transparency, manual override options, and fallback strategies for mission-critical operations.
For engineering and company leaders
Outcomes your team and your business can measure.
Give engineering a shared basis to decide
Replace opinion-based debatewith quantified, model-based comparison of options.
Test changes before you make them
Simulate control, process, andoperational changes safely before introducing them on site.
Make complex trade-offs manageable
See system-wide effects of achange instead of guessing at second-order consequences.
Expose weak points early
Find the bottlenecks andfailure modes under extreme conditions before live operation does.
Always stay in control
Simulation informs yourdecision; nothing changes in the real system until your team commits.
Avoid wasted CAPEX
Validate the economic case foran upgrade before committing capital, not after.
Quantify cost, CO₂, and reliability together
Evaluate sustainability targetsalongside technical and financial performance in one view.
De-risk major decisions
Reduce the chance of an upgradethat raises running costs or weakens resilience.
Scale from one decision to the whole portfolio
Apply the same simulation rigorto every retrofit and expansion across the fleet.
Strengthen the business case
Enter investment decisionswith predicted impact, not vendor promises.
Data centers
Optimize cooling plants, free cooling, hydraulic distribution, airflow-related dependencies, and supply temperatures while protecting mission-critical uptime and stability.
Pharmaceuticals and clean environments
Improve HVAC and utility efficiency while maintaining stable environmental conditions, compliance requirements, and operational boundaries.
Chemicals and industrial production
Coordinate cooling, heating, ventilation, thermal utilities, and electrical infrastructure under fluctuating production loads and changing energy prices.
Large commercial and high-load buildings
Improve performance in complex HVAC environments where demand, occupancy, weather, and operating schedules change continuously.
Manufacturing and automotive
Reduce energy waste in process cooling, ventilation, heating, and site-level energy systems with variable production schedules and operating modes.
Proven impact
Trusted by leading operators worldwide
Equinix, Merck, and others achieve up to 50% cooling energy savings with etalytics. Explore our case studies.
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Energy Foresight
See what etaONE® predicts before you invest.
Start with a free feasibility study. We analyze your existing data, model your system, and show you what simulation can de-risk.
Trusted by operators across data centers and industry
FAQ
Questions? We’ve got you covered.
Start with a free feasibility study
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