CASE16 · Manufacturing · Compressed air

Optimizing automotive compressed air through UPI, staging and demand patterns

Power, airflow, pressure, IGV/BOV behavior and process-level demand are analyzed together. A small UPI improvement represents a meaningful cost opportunity in a large compressed-air system.

01 · CASE ANALYSIS

Operating challenge

Annual compressor electricity was approximately 37.12 million kWh. Separate high- and low-pressure circuits required demand-based staging and pressure review.

IGV control was generally satisfactory, but BOV opening during supply-demand imbalance was associated with higher losses and UPI. Three major production processes accounted for about 73% of air demand.

02 · CASE ANALYSIS

Data and performance diagnosis

The analysis combined system power, normalized airflow, supply/discharge pressure, running/required units, IGV opening, BOV state, load, loss and process-level flow patterns.

Mean UPI was approximately 0.106 kWh/Nm³ against a proposed reference of 0.104. Average load was about 91%. The detailed actual-versus-required table reports about 4.6 operating units against 4.1–4.2 required, within a 2–8-unit operating range.

Reported system indicators
IndicatorValue
Mean UPI / reference0.106 / 0.104 kWh/Nm³
Mean load91%
Operating / required unitsApproximately 4.6 / 4.1–4.2
Operating range2–8 units
Demand in three main processesApproximately 73%

03 · CASE ANALYSIS

Supply and demand measures

Select efficient unit combinations according to airflow demand, review pressure margins against end-use needs and pressure losses, and reduce BOV venting through better supply-demand balancing.

On the demand side, prioritize the main consuming processes and examine peaks, non-production periods and abnormal usage using their flow meters. Existing pressure control was generally sound, so adjustments should be incremental and protect production requirements.

04 · CASE ANALYSIS

Potential and M&V

The source estimates KRW 70,041,685/year if the mean UPI approaches the 0.104 reference. This is an operating-data-based cost potential.

Verify with air production, production conditions, operating hours, pressure and demand reflected in the baseline. BOV loss correlation supports diagnosis but does not alone quantify a verified saving.

Improvement directions
AreaActionEvidence status
UPIApproach 0.104 referenceKRW 70,041,685/year potential
StagingDemand-based efficient combinationsOperating margin approximately 0.4–0.5 units
IGV/BOVMinimize imbalanced ventingObserved loss/UPI relationship
Demand sidePeak and non-production use managementFlow-based priority selection

05 · CASE ANALYSIS

Engineering lesson

At large utility scale, small intensity changes can matter. Supply optimization and demand management should be coordinated, with the measured airflow denominator kept consistent.

APPLY TO YOUR SITE

Connect your operating data to an actionable energy strategy.

Discuss the measurement boundary, data quality, operating constraints and verification approach for your facility.

Discuss your project All English cases