D-02 / DATA & AI
Energy management and optimisation
Monitor energy use across corporate, factory, production-area and equipment levels; use data analysis to identify anomalies and causes of excessive consumption, optimise operating parameters and verify savings.
From data to validation: a four-step analysis loop
Headquarters
Review organisation-wide energy status.
Factory
Review planned and actual energy use by factory.
Production area
Drill down into production-area operations and unusual consumption.
Equipment
Locate priority equipment and its operating parameters.
- 01
Current-state review
Organise the current state of energy use, operation and output.
- 02
Locate consumption
Identify the units and periods with high energy use to define priorities.
- 03
Diagnose causes
Analyse contributing factors and identify the root causes of high energy use.
- 04
Verify savings
Implement optimisation measures and verify the resulting energy savings.
Utility systems, production equipment, and output need to be viewed on the same timeline.
View operating time and output on one timeline
Utility-system operation
Production-equipment operation
Production output
Six observation positionsPositions ①–⑥ mark observations across the timing relationships.Timing relationship diagram
4 Step + 6 Point
Utility-system operation, production-equipment operation and production output are compared on the same timeline.
- Horizontal comparisonCompare operating-state changes across periods.
- Vertical relationshipObserve relationships among energy use, operating periods and output.
- Tracking and validationUse the four-step workflow to compare conditions before and after each measure.
Three steps for equipment optimisation
Parameter optimisation
Optimise operating strategies and control rules using equipment and process parameters, then validate adjustments against production conditions.
Savings prediction / estimation
Use historical data and analytical models to predict or estimate savings potential and support option assessment and prioritisation.
Validation and evaluation of actual savings
Compare actual energy use after implementation, validate the effect of the optimisation measures and document the evaluation.
Improvement measures and exception handling
- Plan comparisonUse planned and actual energy data to compare states and differences before and after measures.
- Alarm detectionConsolidate operating exceptions and energy alarms to identify abnormal states and support timely response.
- Analysis of high energy useAnalyse operating periods, production output and changes in energy use together to identify the causes of excessive consumption.
- Carbon-emission calculationCalculate carbon emissions automatically from energy data to support management review.
Outcome validation and applicability
Validate outcomes against a traceable baseline
Energy-saving outcomes are validated through like-for-like comparison after defining the accounting boundary, sample scope, measurement period, and on-site operating conditions.
Start by defining the operational challenge.
Share the current process, constraints and intended outcome. We will assess the smallest verifiable starting scope.