Significantly improve ROI: Intelligently manage secondary power sources at Telecom Tower sites
To get a recording of this webinar click the link below.
A large number of telecom tower sites are either off-grid or located in problematic grid areas and rely greatly on backup power sources. While the secondary power sources are a reliable solution for powering the sites, the inefficient planning and management of these sources cause problems that impact the energy expenditure of telecom tower companies. In the second segment of our webinar on energy management, we addressed the operational challenges related to diesel generator- fuel filling and battery management that is being faced by them. Watch this webinar to know how these challenges can be better managed to significantly improve ROI and operational efficiencies.
- Alternate sources of power and the role of electrification in “Dieselnomics”
- What is “Dieselnomics”, how did it come into play?
- Merits and demerits in switching from Grid to diesel to other power sources
- Challenges related to secondary sources of energy at sites
- The current challenges being faced and their viable solutions
- Cost of running a site for an hour on diesel is almost 4 times the cost of running a site on grid, so even a very small change in reduction in number of hours when the site is on genset results in significant savings.
- Streamlining and automating Genset fuel filling process from planning to payments helps organizations not only bring in up to 20% savings in fuel consumption but also bring in process efficiencies by reducing papers forms and paper-based approvals.
- Automatic planning and management of Genset maintenance can lead up to 26% savings in preventive maintenance costs, improve asset performance as well as increase asset life by 8-10%.
- Reliable data collected via intelligent systems creates a pool of trustworthy data in a central repository which helps in future analysis and informed decision making.
Question 1: How system-generated data is useful for the beat plan in case sites are offline or the Genset controller is not generating the running hours?
In this case, pre-configured average run hour and standard CPH can be taken into account to predict filling.
Question 2: How do you improve prediction accuracy? As ageing and the environment continuously impact hardware, what are the variables & fixed models for Hybrid sites?
Infozech’s solution tracks the manual data, over a large number of sites (sometimes from different zones) to track optimisation possibilities. The system can also validate Genset usage from grid and battery usage data. The system can predict various important parameters like run hours, energy consumption, fuel consumption, battery backup, maintenance cycles considering various incoming data. Each country and operator are on different models such as fixed, variable and hybrid models. Our system smoothly manages each of the models and also helps with operator reconciliation.
Question 3: Can the fuel filling data ( via Mobile app ) and system data ( RMS data for online sites ) be used together to make the data more reliable?
Infozech’s system is configurable to take either of the data. You can use any data manually from the mobile app or system data.
Question 4: Is there a way that system will use both the data (RMS + Mobile) and make one common database to do the system generated beat plan? In the existing system, is it available?
If the site has RMS for giving the fuel consumption data, the system can use the same. Otherwise, the data collected from the mobile app is used. With a mobile app, various data is collected such as the DG run hours from the DG run Meter and fuel filling data while the filler is refuelling. Besides, Infozech provides an application module that helps in tracking and automating fuel filling activity and overall site management.