SpinAlgo is a tool that analyzes basic energy and production data to provide actionable energy performance insights. It reduces the time spent on reporting and analysis by 80% and handles normalization across 20+ energy performance indicators. Key benefits include taking care of historical analysis, operational behavior normalization, and compliance with reporting schemes. SpinAlgo was developed using over 1 million data points from 14+ years of operational data from multiple spinning units, allowing users to focus on implementing insights rather than report preparation.
2. 1-2 Man Day to prepare a
basic monthly EnPI report
3-4 Hours of discussion to finalize
the report for onward submission
With a few iterations the final version
goes out to Energy Management Team.
3. Does not cover Historical
analysis/Operational
Behaviour
Normalization for Capacity
Utilization, Product Mix etc
needs forecasting models.
Don't have access to Sector
Specific Performance
Indexes
Even after so much of hours put into reporting, key aspects aren't covered.
4. FASTER BETTER CHEAPER
SpinAlgo, algorithm designed by E-Cube Energy takes in basic energy and
production data as input and provides actionable insights on Energy
Performance Indicators.
5. Reduces
"reporting+analysis"
time by almost 80%
80%
Takes care of all
Normalization
covering 20+ EnPIs
Highlights past
performance under
similar operating
conditions
Manage reporting
compliance for PAT
Scheme, ISO 50001 etc
SpinAlgo does all of it, so that your team can focus on "Acting" on insights
and not working on making reports!
6. How did we
do it?
14+Years of
Operational Data
~1Million Spindles
Porftolio
>12Spinning Units
managed for EE
2.6>2.6 Lac Production
and Energy Data Set
7. Who can use use SpinAlgo?
Single/Group of
Textile Units
Consultants/Auditors to
aggregate their Textile
Portfolio
Funds/Banks to manage
EE Cluster Programmes
8. To change the way your team reports,analyses and manages
Energy Performance sign up for EnView Version 2.0 for Textile!