Energy intelligence for technical buildings

Cross-correlate energy consumption with operational parameters to identify waste patterns, quantify savings, and support ISO 50001 compliance. 3x ROI in 18 months.

In technical buildings — hospitals, pharmaceutical plants, data centers, laboratories — HVAC represents 50 to 70% of total energy consumption. Unlike office buildings, these environments have stringent air quality and temperature requirements that constrain simple setback strategies. Optimization requires understanding the relationship between energy use and operational constraints.

50–70%

Share of HVAC in total energy consumption of technical buildings

+15%

Invisible annual drift when the "new normal" sets in without continuous benchmarking

ISO 50001

Regulatory framework requiring demonstration of continuous improvement based on granular data

TERA 360 dashboard showing correlation between energy consumption and operational parameters

The challenge

Energy waste hides in operational blind spots

Energy meters sit in the BMS. Occupancy data lives in the access control system. Weather data comes from external services. Process schedules are in the CMMS or ERP. Without correlation, operators cannot distinguish between necessary energy use and waste. They see the bill but cannot diagnose the cause.

Equipment degrades gradually. Controls drift from their setpoints. Seasonal adjustments are made and never reverted. Without continuous benchmarking against a validated model, the "new normal" becomes progressively more wasteful — 2% here, 3% there — until the annual review reveals a 15% increase nobody can explain.

Meanwhile, the regulatory landscape is tightening: ISO 50001, Decret Tertiaire, BACS obligations, carbon reporting. Compliance requires not just measurement but demonstration of continuous improvement. Manual reporting is slow, error-prone, and insufficient for auditors demanding granular data.

How TERA 360 works

From consumption data to actionable intelligence

TERA 360 correlates energy consumption with the operational context that explains it — then identifies where savings are possible without compromising performance.

Measure everything

Energy meters at main incomer, distribution boards, AHUs, chillers, and critical loads. Sub-metering by zone, by system, by time of use. Integration with BMS, weather services, occupancy systems and process schedules to build the full operational context.

Model and benchmark

Regression models built from historical data establish the expected energy profile for given conditions (outdoor temperature, occupancy, production schedule). Deviations from the model are flagged as potential waste. Seasonal and operational normalization ensures fair comparison across periods.

Identify and quantify

Automated waste pattern detection: simultaneous heating and cooling, off-hours operation, setpoint drift, equipment cycling. Each pattern is quantified in kWh and euros. Recommendations are prioritized by savings potential and implementation effort.

Sensors & systems

The measurement layer for energy intelligence

Energy meters

CT-based electrical meters, thermal energy meters (BTU), gas flow meters. MID-certified where fiscal metering is required. Modbus, M-Bus or pulse output integration.

Environmental sensors

Outdoor T/H, solar radiation, wind speed for weather normalization. Indoor T/H, CO2 for occupancy correlation. These contextualize energy consumption against its operational drivers.

BMS integration & external feeds

Modbus read of HVAC setpoints, valve positions, VFD speeds, chiller staging. Weather API integration for degree-day calculations. Utility tariff data for cost optimization. Production schedules from MES/ERP for process energy attribution.

Dashboards & alerts

Energy visibility for every stakeholder

Performance and detection

Real-time consumption by system, zone and time period. Weather-normalized benchmarks against model predictions. Traffic-light indicators flag systems consuming more than expected. Drill-down from building total to individual AHU or chiller.

Automated identification of energy waste: simultaneous heating/cooling, off-hours operation, equipment short-cycling, setpoint override drift. Each pattern shows location, duration, estimated cost and recommended corrective action.

Tracking and compliance

Measurement and verification (M&V) dashboard quantifying implemented savings against the baseline model. IPMVP-compatible methodology ensures savings claims are defensible. Monthly reports show cumulative savings in kWh, euros and CO2 equivalent.

ISO 50001 energy review data packages. Decret Tertiaire compliance reporting with automatic baseline calculation. BACS categorization evidence. Carbon reporting with Scope 1 and Scope 2 calculations based on actual consumption data.

Benefits

Quantified savings with verified results

3x ROI

In 18 months. Investment in sensors and platform typically pays for itself three times over, driven by identified waste patterns and optimized operations.

-30%

Average energy savings across deployed technical buildings. Achieved without capital investment in new equipment.

ISO 50001

Full compliance support: energy baselines, EnPIs, significant energy uses, measurement plans and improvement tracking. Reduces certification effort significantly.

Measured results from deployed sites

Across deployed technical buildings, average energy reduction reaches 30%. It is achieved through waste elimination, operational optimization and demand-driven control — without capital investment in new equipment.

Models trained on historical data forecast energy consumption under different scenarios (weather, occupancy, production changes). Budget forecasts are data-driven, not based on last year plus 3%.

TERA 360 provides the energy data management layer required by ISO 50001 and the Decret Tertiaire — turning regulatory compliance from an administrative burden into a natural by-product of continuous monitoring.

ROI in 18 months

30%

Average energy savings

50001

ISO support

12 months

Typical payback

Ready to unlock energy savings?

We'll audit your energy consumption, identify waste patterns, and build a data-driven optimization roadmap.

Discuss your project