Why combinations matter
Different compressors have different efficiency at different loads, and the cheapest way to deliver a given flow is a particular combination of machines. Running the wrong mix wastes energy even when each machine is healthy.
What the analysis uses
Typical inputs:
- Measured performance of each compressor at different loads
- The demand profile over time
- The pressure band and control settings
- Storage volume and system response
Overlap and unloaded running
A common loss is machines partly loaded or unloaded while another machine could carry the load. Coordinated control and the right ranking of machines reduce this.
Verify
Model the options, implement the best, and measure the result against the baseline under comparable demand.
What to prepare
Information that helps us advise:
- Number, make, model and size of the compressors
- Current controllers and how they are connected
- Pressure settings and the lowest pressure the process needs
- Demand pattern across shifts and any known problems
Frequently asked questions
How do I know which compressors to run?
By measuring performance and demand, then selecting the combination that meets the need with the lowest energy. We can model this.
Does this need new equipment?
Often the first gains come from better settings and control of the existing machines.
How long does the analysis take?
It depends on the data available. A representative period of measurement is needed before conclusions are drawn.
Field guide
Multi-compressor optimisation: finding the best combination
With several compressors of different sizes and types, there is usually one combination that meets demand at the lowest energy for each part of the day. Finding it starts with measurement, not with guessing.
Steps
- Measure demand for at least a typical week: flow if possible, otherwise loaded and unloaded time on each machine with power readings.
- Know each machine's efficiency: power drawn at full load and unloaded, and delivered air. Older machines can use noticeably more energy per unit of air.
- Build combinations for low, normal and peak demand, using the most efficient machines first and one machine to trim.
- Check redundancy: if the largest machine trips, can the rest carry critical demand?
- Implement through a sequencer or master controller, or by clear operating instructions where automation is not justified.
- Verify with fresh measurements after the change.
Common findings
- An old, inefficient machine running as lead because it was "always first on".
- Two machines running part-loaded where one could run full.
- Generation pressure set higher than any user needs.
- Leaks making up a large share of night and weekend demand.
What to send for a quotation
- Make, model and serial number of every compressor and dryer in the station.
- Running hours and a typical week of operation (shifts, weekends).
- Current pressure settings and controller type on each machine.
- Any alarm or fault history you have.
Send it through find my part or the spare parts enquiry, or call +91 99590 60718 or +91 92468 88812.