CASE ID
Create a unique case identifier to prevent data from different versions or sites from being mixed.
Each result is linked to the site, equipment, pre-deployment baseline, observation period and measurement method, providing a consistent basis for before-and-after comparison.
Pre- and post-deployment operating data are compared under consistent conditions, with traceable measurement and supporting records.
Create a unique case identifier to prevent data from different versions or sites from being mixed.
Define the pre-deployment baseline and comparable operating conditions.
Record the deployment date, observation period and changes in conditions during that period.
Document measurement criteria, tools, locations, frequency and comparison methods.
Compile photographs, records, bills, equipment data and other supporting materials.
State the improvement result, applicable conditions, limitations and calculation boundary.
Measurement items are defined according to the equipment, load, environment and operating conditions. Actual results are based on site-specific before-and-after comparisons.
Evaluate water quality, scale, heat-transfer efficiency, flow and equipment operation.
Compare electricity use, load, operating hours and production conditions to identify improvement opportunities.
Compare surface temperature, ambient conditions, equipment load, heat-dissipation performance and related energy use.
These public cases have passed the Evidence Gate. Evidence types are not interchangeable; energy, carbon and economic outcomes are published only when matching measurement data exists.






Evidence note: site images support visible condition and change only. They are not used to infer a fixed energy-saving rate, CO₂ reduction, payback period or other unmeasured performance.
A consistent data structure explains the improvement and provides a basis for comparison and traceability.
Define measurement items, comparison conditions and data sources before deployment so later results have a clear and consistent basis for interpretation.
Connecting measurable technology improvements with business value and environmental sustainability.