Book Demo
Book Demo
Energy Autonomy
Optimize sourcing, generation, and storage based on market signals
Reduce energy costs by aligning sourcing, generation, and storage with electricity prices, gas prices, tariffs, and demand peaks
Replace fixed schedules with adaptive dispatch across CHP, boilers, batteries, storage, and flexible loads
Improve flexibility value while respecting asset limits, operational dependencies, and technical constraints
Built for industrial energy systems with coupled electricity and heat assets, volatile energy markets, and real plant constraints.
Trusted by leading data centers, manufacturers, and energy innovators.
Value Loss
Fixed schedules waste flexibility and raise energy costs
Industrial energy systems are increasingly exposed to volatile electricity prices, changing gas costs, dynamic tariffs, grid constraints, and demand peaks. Yet many sites still operate sourcing, onsite generation, storage, and flexible loads with static schedules or isolated control logic. This means flexibility often remains unused.
Storage may charge or discharge at the wrong time; CHP or other electricity generators, heat pumps and boiler decisions may not reflect current cost conditions, and flexible loads may create avoidable peaks instead of being scheduled intelligently.
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Storage and generation run on fixed schedules instead of adapting to price and demand signals
Electricity and gas procurement decisions are disconnected from onsite dispatch
Price peaks, demand peaks, and tariff windows are not translated into operational decisions fast enough
CHP, boilers, heat pumps, batteries, renewable generation, and flexible loads are optimized separately
Manual planning makes it difficult to react to volatility, asset availability, and changing site demand
Adaptive Dispatch
Coordinate sourcing, generation, storage, and flexible loads dynamically
etalytics enables Energy Autonomy by combining market signals, asset behavior, site demand, and operational constraints into one adaptive scheduling logic. Instead of optimizing individual assets in isolation, the system coordinates electricity, heat, gas, storage, and flexible demand across the site. The solution can start with a focused use case such as CHP and boiler dispatch, battery scheduling, or peak-load reduction, and then scale toward broader site-level energy flexibility once the business case is validated.
Bivalent energy source control
Select whether demand should be covered through onsite generation, storage, or external sourcing based on prices, asset status, and site priorities.
Spot, forward, and tariff alignment
Align procurement and dispatch with electricity prices, gas prices, dynamic tariffs, grid charges, and relevant market signals
CHP, heat pump and boiler coordination:
Schedule CHP and boiler operations based on electricity prices, gas prices, heat demand, asset efficiency, and system constraints.
Storage-based load shifting
Charge and discharge storage dynamically to avoid high-cost periods and reduce peak demand
Flexible renewable integration
Include renewable generation in dispatch decisions alongside storage, conventional assets, and flexible loads
Controlled charging infrastructure
Schedule charging loads in line with available capacity, tariff structures, and site demand
Simple Process
How it works
Step 1: Connect Data Sources
Connect typical data sources such as submeters, PLCs, BMS, SCADA, historians, and utility feeds. Existing infrastructure is used wherever possible to create a consolidated data base.
Step 2: Structure by System and Asset
Organize incoming signals by asset, system, area, or utility flow so data becomes operationally meaningful. This turns disconnected point data into usable Energy Transparency.
Step 3: Monitor Live Performance
Monitor energy flows and asset behavior in real time through structured dashboards. Teams get a clear operational view for daily decisions and faster issue detection.
Step 4: Review and Improve
Use the live monitoring layer as the basis for recurring reviews, reporting, and operational follow-up. This helps teams move from reactive checking to consistent performance oversight.
Measurable Impact
Operational Improvements That Matter
Lower energy costs
Reduce total energy input and cost across the optimized scope.
Measured by normalized kWh or MWh consumption, energy cost in EUR or USD, and savings compared with an agreed baseline.
Lower CO2 emissions
Reduce emissions by operating assets more efficiently and shifting operations where lower-carbon energy is available.
Measured by CO2e reduction over a defined period.
Less manual effort
Reduce manual setpoint changes, overrides, and reactive troubleshooting.
Measured by manual intervention rate, override events, and operator time spent on recurring control adjustments.
Lower equipment runtime and wear
Avoid unnecessary operation and prioritize efficient modes such as free cooling, optimized part-load operation, and coordinated asset use.
Measured by runtime hours, start-stop cycles, and utilization of active versus passive or more efficient modes.
Higher stability and supply quality
Maintain temperatures, pressures, humidity, airflow, or other operating parameters within defined boundaries.
Measured by deviation from target ranges and percentage of time within operating limits.
More intelligent use of flexibility.
Use thermal inertia, storage, on-site generation, and price signals where relevant.
Measured by shifted load, avoided peak demand, use of favorable tariffs, or demand response participation.
Validated business case
Quantify savings potential, technical fit, risk, and implementation effort before scaling.
Measured by expected savings versus solution cost and a clear rollout decision.
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.
Manufacturing and automotive
Reduce energy waste in process cooling, ventilation, heating, and site-level energy systems with variable production schedules and operating modes.
Large commercial and high-load buildings
Improve performance in complex HVAC environments where demand, occupancy, weather, and operating schedules change continuously.
Why etalytics
Because efficiency software should do more than show dashboards.
etaONE® turns your operational data into a live digital twin of your energy system and uses AI to continuously identify the best operating strategy for your site. The result is lower energy cost, earlier detection of performance drift, and better operational decisions with less manual work – without replacing your existing infrastructure.
Built for real-world systems
We model your actual chillers, pumps, heat exchangers, and cooling assets – not a generic template.
Physics-based, data-trained
Our digital twin combines engineering logic with live operating data for reliable, site-specific optimization.
Actionable, not theoretical
We do not just report inefficiencies. We identify where performance drifts, what it means, and what to do next.
Safe by design
You decide the level of autonomy. From recommendation mode to closed-loop control, operators stay in charge.
Fast to implement
We connect to your existing BMS using standard protocols – no rip-and-replace required.
Proven in mission-critical environments
Trusted by leading operators in data centers and industry, with measurable impact on efficiency and operations.
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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Get Started
Ready to optimize your facility's energy use?
Request a feasibility study to evaluate real-time monitoring dashboards for your site. We assess connectivity, data readiness, and which KPIs and dashboards deliver the fastest impact on energy costs and operational efficiency.
Trusted by operators across data centers and industry
FAQ
Questions? We’ve got you covered.
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Discover where your biggest savings potential lies. Our experts analyze your energy system, identify opportunities, and show you the path to lower costs, emissions and resilient operations – with AI you can trust.
We empower industries to make complex energy systems and operations more intelligent, efficient, and resilient — with AI and digital twins that operators can trust.
