Compressed Air is one of the forms of energy that finds use in most industries, in some industries like Textiles it contributes to significant portion of the overall energy consumption.
Compressed Air Networks i.e. multiple number of compressors operating in tandem, offer potential for optimisation and improve energy productivity CFM/KW by around 5%-7% (in some cases going as high as ~12%)
Multiple factors must be looked at while considering optimising the generation and distribution of Compressed Air and the overall network.
CAN- Compressed Air Network Optimisation Algorithm
Our Algorithm works on the operational data I.e. data from each of the compressor, operating behaviour and over a period suggests optimisation possibilities resulting in better utilisation of the network, correct operation settings, resulting in energy productivity gains.
Factors/Aspects considered by the algorithm:-
- Weather Conditions
- Set Points for each compressor
- Operational behaviour of each compressor under the influence of the network.
Algorithm would be available on EE Hub, users could either purchase API calls or use the algorithm as DIY tool through our web based application EnView.
Over obsession with “Savings” starts to cost organisations dearly, anything that does not straight away give X% savings isn’t looked at with interest, potentially ignoring the fundamental value addition it brings in sustaining #EnergyEfficiency or #EnergyProductivity improvement.
Without doubt Savings either in the form energy consumption or cost reduction or a combination, is something that drives decision making process when it comes #EnergyEffciency investments.
To be frank we cannot blame industries entirely for it, i mean that is the way most of products, solutions around #EnergyEfficiency have been sold to them. People have spoken about #ROI, #Payback etc, seldom people talk about aspects like Performance Management, Automated M&V, Automated Reporting & Scientific Budgeting, aspects that have greater impact on organisational and cultural change when it comes to #EnergyEfficiency #EnergyProductivity management.
Some of the forward looking organisations have realized that having a myopic view on ways to improve #EnergyEfficiency #EnergyProductivity will cost them dearly in the longer run. They are looking at driving changes that have a long term vision and an integrated strategy, they are not looking at executing things in isolation. That is going to be the differentiator.
Electric motors/motor driven systems consume 50-60% of Industrial electricity consumption and most industries generate huge data related to motor performance and maintenance, with Engineering/Maintenance department taking measurements of basic parameters etc.
Question is is your organization converting that data to insights that has potential to:-
- Guide on possible energy efficiency interventions?
- Advise on predictive maintenance of motors, avoid productivity losses?
E-Cube Energy has launched www.motor-tool.com that allows you to maintain all data pertaining to motor performance and maintenance on a #SaaS based cloud platform, accessible from anywhere.
Platform is simple but powerful in a way that it has the potential to disrupt the way industries look at managing all the unorganized data (related to motor performance/maintenance). Essentially allowing industries to organize data, store it centrally and analyse on the plattform to have insights that otherwise was not available!
We are providing free accounts to industries for configuration of 10 motors (For 3 Months Usage). To sign up for your Free account visit www.motor-tool.com