Optimizing equipment sizing with IoT data
Right-sizing refrigeration and cooling equipment is critical for balancing performance, cost, and energy efficiency. With data collected from the SCS controller, OEMs can leverage information about real-world asset use to make informed decisions about equipment specifications, avoiding over- or under-engineering.
Why it matters
- Over-specification leads to unnecessary costs and energy consumption.
- Under-specification risks poor performance, product spoilage, and customer dissatisfaction.
- IoT data provides actual usage patterns, enabling smarter design and procurement decisions.
How the SCS Controller contributes to better equipment design
Usage pattern analysis
- Track cooler door openings, compressor cycles, and ambient conditions.
- Identify peak usage times and load profiles across different environments.
Smarter specification decisions
- Use historical data to determine optimal fan size, compressor capacity, and insulation needs.
- Tailor equipment specs to match real-world operating conditions.
Identifying opportunities for continuous improvement
- Feed field data back into the design cycle for iterative product enhancements.
- Benchmark performance across models and regions.
Next steps
- Integrate the SCS Controller into your test fleet or pilot programs.
- Collect and analyze usage data over a representative period.
- Apply insights to refine equipment specifications.