Case Study

    Improvement in Dissolved Oxygen and Efficiency in Power Consumption

    projects

    PT. Kawasan Industri Medan

    Improved Dissolved Oxygen to 3 ppm ~ 5 ppm of communal wastewater facilities in 2 weeks with reduced power consumption by 50%. The implementation of Bluewave PowerSave further drives efficiency by 23%.

    Chemical consumption drops by half. Overhead drops to less than 30%. Annual saving of SGD $ 65.000,- turns utility department of the state-owned company into a highly efficient and productive exemplary showcase in Indonesia industrial estates.

    Objective

    What This Study Aims to Achieve

    1

    Assess Pre-Automation Energy Consumption

    Evaluate energy usage patterns before implementing automation dynamic configuration.

    2

    Compare Post-Automation Efficiency

    Analyze the improvements in energy efficiency after automation dynamic configuration.

    Methodology

    How the Data Was Collected

    Before Dynamic Configuration

    • Data collected from Jan 11, 2025 to Jan 16, 2025
    • Included data from PM & DO meters

    After Dynamic Configuration

    • Data collected from Jan 18, 2025 to Feb 23, 2025
    • Included data from PM & DO meters

    Analysis Methodology

    • Measurement of Power & DO
    • Benchmarking energy consumption
    • Statistical comparison between data before and after dynamic configuration

    radial-bgaverage-dyssolved-oxygen-trends
    icon

    The graph shows daily average DO trends over two weeks:

    Solid lines represent data from Week 1, while dashed lines indicate Week 2.

    This visualization helps compare dissolved oxygen variations over time for water quality analysis

    Result: Equivalent DO Readings

    radial-bgaverage-dyssolved-oxygen-trends
    icon

    The graph shows daily power consumption trends before and after automation:

    Before Automation (Jan 11–16, 2025):

    Steady consumption, peaking on Jan 14 (~165 kW).

    After Automation (Jan 18–23, 2025):

    Significant reduction, lowest on Jan 21 (~120 kW).

    Insight: Automation improved energy efficiency while maintaining same DO performance

    average-dyssolved-oxygen-trends

    Energy Consumption After Automation

    Result of Automation

    before-after-automation-graph

    Daily Total Power Consumption Comparison by Active Units

    • Week 1 (Jan 11, 2024 - Jan 16, 2025): 22,540.56 KWh (Before Energy Saving)
      = 22,540.56 x 0,13 SGD/KWh
      = 2.928,56 SGD in 5 days running
    • Week 2 (Jan 18, 2024 - Jan 23, 2025): 17,272.95 KWh
      = 17,272.95 x 0,13 SGD/KWh
      = 2.244,17 SGD in 5 days running

    Energy Efficiency 5 days running:

    • Efficiency Energy Saved = (Before - After) = 5,267.61 kWh
    • Efficiency Energy (%) = (Efficiency Saved / Week 1) x 100 = 23.37%
    • Saving = 684,39 SGD in 5 days

    Summary

    Key insight from the impact of dynamic configuration in automation,
    Daily Total Power Consumption Comparison by:

    Active Units

    Week 1 (Before automation):22,540.56 kWh

    Week 2 (After automation):17,272.95 kWh

    active-units

    Energy Efficiency

    Efficiency Energy Saved:5,267.61 kWh

    Efficiency Percentage:23.37%

    energy-efficiency

    Equivalent Monetary Savings

    684,39 SGD savings in 5 days running (Before vs After)

    Energy Savings Automation
    while maintaining equivalent performance

    monetary-savings
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