The client is among the biggest glass manufacturing companies with factories in Dubai and Mumbai that serve the best industries in construction, automotive, and consumer goods. The energy-intensive nature of their manufacturing process, which involves stages such as lamination, washer, heat soak, compressor, cutting, and finishing, presented challenges.
With increasing energy prices and more emphasis on sustainability, the client soughtan advanced energy monitoring system to optimize the use of their energy supplywhileimprovingtransparency in regard to cost.
Challenges
Some of the major challenges that the client faced and impacted their operations and profitability were:
High Energy Consumption: Theirhigh-energy consumption was gobbledawayinto a major chunk of their cost of operations. However, they had no way of monitoring or analyzing the energy consumption per machine or lot of production, losing track of where they were losing efficiency.
Low Cost Visibility: The customer could not trace the exact energy costs to specific products or batches. This meant that the customer was underpricing some products, thereby cutting into the profit margins.
Operational Inefficiencies: Machine performance was very variable on the production line, and some machines used disproportionately more energy. Identification of the underperforming machines was not systematic but rather sporadic.
Sustainability Goals: Improving internal and regulatory targets for sustainability demanded greater transparency into energy consumption patterns and carbon emissions. The absence of actionable data meant slow progress toward these goals.
Solution
We designed and implemented the complete IIoT-based Energy Monitoring Solution for the client with these challenges.
1.Hardware Deployment
We started implementing the latest hardware to measure the energy data:
Deployed current transformers and energy meters for those specific high-importance machinery through the manufacturing plant.
IoT Gateways will be integrated for real-time collections from the meters and upload the data securely to the cloud.
Integration of Data
The above solution included integrating energy data with production data seamlessly.
The above solution included integrating energy data with production data seamlessly
Collected energy consumption metrics and batch-specific production data, for instance, glass thickness and batch duration on a centralized IoT portal.
Developed APIs that integrated data on energy and production such that it could be used for full analysis.
Custom Reports and Dashboards
There are some other key features of our provided solution, which were the development of reports and dashboards. They are given below
Batch-wise Energy Reports: Provided information for energy consumption of each and every production batch, like that of glass thickness being 6 mm or 8 mm.
Machine Efficiency Reports: Highlighted energy usage and performance metrics for individual machines, identifying underperforming equipment.
Energy Trend Reports: Consumption of energy is tracked weekly, monthly or quarterly for understanding trend and needs of forecast.
Carbon Emission Reports: Carbon emission estimates as per the consumption of energy. These help in sustaining the standards of sustainability.
Peak Demand Analysis: Calculated the peak demand times to help the client plan their load distribution and negotiate a better energy tariff.
Results
Improved Performance
The installation of the energy monitoring system considerably increased operational performance.
12% Better Batch Efficiency: The amount of energy used in every batch was especially in the case of thicker glasses (8 mm).
Machine performance was optimized, as all inefficient machines were highlighted with the smart energy management system, thus lowering down the time taken for unavailability and reducing wastage of energy.
Huge Cost Saving
The solution provided measurable cost savings on energy.
18% Savings in Overall Energy: These interventions were targeted and energized by the power monitoring system, hence providing maximum cost cuts.
Cost Distribution Improved: Detailed and automated energy usage reports allowed for accurate cost distribution, thus streamlining financial planning.
New Revenue Streams
Integrating energy costs into manufacturing, which opened new revenue streams for them in a variety of ways:
Transparent Cost-Inflation-Free Product Pricing: The Energy monitoring system could be integrated with real-time energy cost incorporation into product pricing, thus achieving fair competitiveness.
Higher Profitability: Strategic recovery of costs maximized profit as a source of revenue for energy management.
Satisfaction of Sustainability Mandate
This solution helped the client satisfy the sustainability commitment as listed below:
The smart energy management system realized the real-time monitoring of emissions to meet the regulation compliance
A significant reduction in carbon footprint was achieved with lowered consumption of energy.
Key Features of the Solution
Real-Time Monitoring: It gave real-time monitoring of energy usage through the secure, cloud-based platform.
Advanced Analytics: Identified patterns and made more intelligent decisions to optimize energy use.
Customizable Alert: Quick alert on aberrant usage helped in prevention before issues escalated.
Scalable Design:Easily scalable to supportthegrowthof the operationsofthe client.
Conclusion
It successfully transformed the entire manufacturing activity of the client by effective smart energy management solutions free of high energy cost plus low efficiencies with a lack of transparency. It ensures high efficiency in cutting costs with respect to sustainability goals related to this area. Accurate energy cost attributability also helped generate this new revenue base.