Saving ₹17.5 Lakh/Year for a Haryana Foundry with EMS

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Executive Summary

A large manufacturing company in Faridabad, spending ₹15 crore annually on energy bills, faced challenges in managing their energy use. Energeia’s Energy Monitoring System (EMS) led to ₹17.5 lakh in savings, 188 tonnes of  CO₂ reduction, and higher machine uptime.

Key Stats

0.5 Lakh

Monetary Savings Annually

0,19,000 kWh

Energy Savings Annually

0 Tonnes

CO₂ Emission Reduction

Customer Overview

Established in 1982, a prominent manufacturing company specializes in producing Grey Iron, Ductile Iron, and SiMO machined castings, crucial for the automobile and other industries. With a connected load of 4 MW, the company incurs annual energy costs between Rs. 14.4 – 18 crore.

The Challenges

Operating in an energy-intensive industry, the company faced significant challenges in managing its energy consumption. The key issues included:

  • Inability to meet Specific Energy Consumption targets per tonne of metal produced.
  • Lack of remote monitoring, leading to accountability issues among production workers.
  • Difficulty in tracking daily energy consumption variations.
  • Reliance on manual metering, prone to human errors.
  • Absence of a system to monitor the time cycle of each batch of heat.

Energeia’s Solution:

Energeia implemented a comprehensive Energy Monitoring System (EMS) at the facility. The key components of this solution included:

Energy Monitoring System (EMS)

  • Installation of Energy Sensors: Various energy sensors were installed to provide continuous data streaming to Energeia’s servers.
  • Dedicated Dashboard: A dedicated dashboard was developed for the maintenance team to monitor energy usage in real-time and identify areas of high or unusual consumption.

Financing Model

The project was executed under a subscription business model, featuring:

  • Complete financing of the hardware infrastructure by Energeia.
  • Shared savings from retrofit solutions between Energeia and the company.
  • A monthly Software as a Service (SaaS) fee paid by the company for data point monitoring on the EMS.

Results

  • Annual Energy Savings: Achieved energy savings worth ₹17.5 lakh, lowering specific energy consumption by 45.6 KWH/Tonne on average.
  • Predictive Maintenance: Breakdowns were identified earlier, enabling predictive maintenance of all machines under monitoring.
  • Cycle Time Monitoring: Individual furnace cycle time started being monitored, reducing the occurrence of longer cycle times in a specific furnaces.
  • Project Expansion: Phase 2 of the project was sanctioned, with the machine shop coming under the EMS platform as well.

 

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