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Optimizing Industrial Dehumidification with AI Control

Cutting energy consumption by up to 30 percent

For what type of energy user: Multi-site (industry, retail, warehouse, process, food)
Industries like food and pharmaceuticals need optimal air conditions in their operations to protect product quality and prevent issues such as condensation, mold, and bacterial growth. Industrial dehumidifiers are the solution, but running around the clock, they may require significant energy input. To improve efficiency, Munters has developed predictive AI technology that can be used to optimize the effect of the dehumidifiers.
Unaro Nordic, a producer of beauty and chem-tech products, was the first customer to test this new solution in its warehouses.
The smart system anticipates how the room environment and the equipment interact, automatically adjusting to maintain precise humidity levels. This reduced the energy consumption by up to 30 percent, demonstrating how smart software can give significant sustainability and cost benefits.
Other benefits:
  • Improves product quality and inventory protection: More precise humidity control reduces the risk of condensation, mold, corrosion, and product degradation, helping safeguard sensitive goods throughout storage and production.
  • Reduces operational workload through intelligent automation: AI-driven optimization continuously adapts dehumidifier performance in real time, minimizing the need for manual monitoring and adjustment by facility teams.
  • Enhances operational resilience across multiple sites: Predictive control creates more stable indoor environments despite changing outdoor conditions, making it easier to standardize performance and scale efficiency improvements across facilities.
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