Case Study: Rheinhold & Mahla achieves 10% HVAC energy savings with Proekspert's predictive optimization

Rheinhold & Mahla reduces HVAC power consumption by 10% with Proekspert

Rheinhold & Mahla, a global maritime industry powerhouse, faced the challenge of inefficient, reactive HVAC control systems on its RoPax class ferries, which led to significant energy consumption. The company partnered with vendor Proekspert to deploy a predictive HVAC optimization solution using machine learning and IoT data.

Proekspert implemented a model predictive control system that gathers data remotely, uses trained models to simulate control decisions, and autonomously sends the optimal command to the vessel's systems. This solution from Proekspert reduced total energy consumption by 10%, achieved precise temperature predictions with an uncertainty of merely 0.2°C, and enabled real-time, data-driven decisions without requiring manual intervention.

Rheinhold & Mahla