ENERGY & INDUSTRIAL SYSTEMS

Building HVAC energy optimization

Building HVAC energy optimization is an OpenEnv-compatible reinforcement learning environment in our Energy & Industrial Systems catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Formulate closed-loop supervisory control for multi-zone commercial HVAC systems. ASHRAE thermal comfort bounds, peak power demand constraints, and total energy use determine performance.

Tools and runtime

BOPTEST + Modelica Buildings + ASHRAE 55 standards

OPENENV / BOPTEST

Related Energy & Industrial Systems gyms

• Battery charging & BMS (PyBaMM)
• Continuous chemical process control
• Industrial automation & PLC ladder logic
• Robust state-space controller synthesis
• Chemical process flowsheet engineering
• Power systems grid contingency analysis
• Protection relay coordination
• Electricity market clearing & dispatch
• Battery storage system (BESS) balancing
• Building envelope energy modeling
• Water distribution & stormwater networks
• Smart home & IoT automation

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.