CASE27 · Water & wastewater · Water-supply pumps

Integrating pump efficiency, reservoir levels and peak-demand control

Seasonal ten-minute data across intake, treated-water transmission and booster systems support efficient pump selection, demand-based staging and reservoir scheduling.

01 · CASE ANALYSIS

Operating challenge

Large pumps were distributed across several water-supply systems. Some individual flow and power values were unavailable directly, requiring calculated power and system-level information.

Reservoir levels, required head and peak electricity demand had to be reviewed together while maintaining reliable water service.

02 · CASE ANALYSIS

Diagnostic method

Nine major pump systems were compared using seasonal power, flow, pressure, load ratio and actual versus required active-unit counts.

The source defines pump UPI as delivered volume divided by electricity, in m³/kWh. Higher values are favorable. This is the reciprocal of the energy-per-output convention used in many other cases.

Diagnostic relationships
IndicatorDefinition or use
Pump UPIDelivered volume (m³) / electricity (kWh)
Load ratio versus UPIIdentify efficient operating regions
Power versus flowReview operating points and abnormal behavior
Operating marginActual active units − required units
Reservoir schedulingStorage ↔ pumping head ↔ peak demand

03 · CASE ANALYSIS

Operating strategy

Prioritize pumps with better measured efficiency at the applicable operating point. Check the demand-based number of running pumps against actual dispatch.

The proposed reservoir strategy combines lower night-time levels to reduce head with sufficient stored water before peak periods. Storage may allow temporary pump shutdown during the electrical peak, subject to service constraints.

04 · CASE ANALYSIS

Proposed savings and project scope

The 35-pump portfolio used approximately 27,155 MWh/year and KRW 1.97 billion/year in electricity. The reported total expected benefit was KRW 62 million/year, approximately 3%.

A nine-month project was proposed: six months of construction and three months of optimization, with an estimated investment of KRW 248 million.

Proposal estimates
MeasureAnnual expected benefit
Efficient pump priorityKRW 20 million
Reservoir-level optimizationKRW 17 million
Peak-demand reductionKRW 25 million
CombinedKRW 62 million; approximately 3%

05 · CASE ANALYSIS

M&V and engineering lesson

Separate consumption savings from demand-charge savings. Adjust comparisons for flow, head, reservoir level, tariffs and demand conditions.

Reservoir scheduling is a constrained service decision: apparent electrical savings must preserve water availability and required pressure.

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