Thermal Optimization

Thermal Digital Twins for residential and district energy performance.

MOAI TECH SPACE models heat retention, envelope response, equipment efficiency, storage behavior, and hydronic distribution across multi-family residential frameworks and smart district heating networks.

Modeled Variables

Thermal inertia
Building-specific response coefficients, heat retention curves, and lagged comfort behavior.
Demand response
Price-sensitive dispatch windows, peak-shaving capacity, and centralized heat pump scheduling.
Network dynamics
Return temperature, circulation behavior, substation performance, and weather-correlated load volatility.

Residential Scale

Portfolio-aware thermal control.

Models compare building archetypes, occupancy proxies, asset conditions, and temperature trajectories to coordinate decisions across many residential blocks without treating each building as an isolated system.

Centralized Heat Pumps

Dispatch under comfort and capacity limits.

Optimization routines schedule pump operation, storage use, and circulation strategy while maintaining comfort thresholds and reducing avoidable peak load exposure.

Cold-Climate Behavior

Built for demanding seasonal profiles.

Forecast models account for central and northern European climates where weather volatility, insulation variance, and inertia materially affect demand-response timing.

Consultation

Map your thermal optimization opportunity.

Share the current portfolio, control system maturity, telemetry availability, and efficiency targets. The assessment identifies where model calibration can become reliable operational action.

Secure Intake

Infrastructure consultation request

Submissions are reviewed for data readiness, operating constraints, deployment feasibility, and measurable optimization opportunity.