SpinAlgoDriving sustained energy efficiency/productivity improvements!

1-2 Man Day to prepare abasic monthly EnPI report

3-4 Hours of discussion to finalizethe report for onward submission

With a few iterations the final versiongoes out to Energy Management Team.

Does not cover Historicalanalysis/Operational

Behaviour

Normalization for CapacityUtilization, Product Mix etcneeds forecasting models.

Don't have access to SectorSpecific Performance

Indexes

Even after so much of hours put into reporting, key aspects aren't covered.

FASTER BETTER CHEAPER

SpinAlgo, algorithm designed by E-Cube Energy takes in basic energy andproduction data as input and provides actionable insights on Energy

Performance Indicators.

Reduces"reporting+analysis"time by almost 80%

80%Takes care of allNormalization

covering 20+ EnPIs

Highlights pastperformance undersimilar operating

conditions

Manage reportingcompliance for PAT

Scheme, ISO 50001 etc

SpinAlgo does all of it, so that your team can focus on "Acting" on insightsand not working on making reports!

How did wedo it?

14+Years of

Operational Data

~1Million Spindles

Porftolio

>12Spinning Unitsmanaged for EE

2.6>2.6 Lac Productionand Energy Data Set

Who can use use SpinAlgo?

Single/Group ofTextile Units

Consultants/Auditors toaggregate their Textile

Portfolio

Funds/Banks to manageEE Cluster Programmes

To change the way your team reports,analyses and managesEnergy Performance sign up for EnView Version 2.0 for Textile!