Download PDF
Energy monitoring and management
Technology Category
- Analytics & Modeling - Real Time Analytics
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- Food & Beverage
- Metals
- Paper & Pulp
- Plastics
Applicable Functions
- Facility Management
- Maintenance
Use Cases
- Energy Management System
Services
- Data Science Services
- Hardware Design & Engineering Services
- Software Design & Engineering Services
- System Integration
The Challenge
Steel fabrication plant processing 160MT to 200MT of steel per month.
Plant wants to reduce spend on electricity. Evaluated solar panels, but project dropped due to ROI period.
Plant has APFCRs to maintain a high Power Factor.
About The Customer
A steel fabrication plant processing sheet metal, plates and beams through plasma cutting, metal shaping, metal forming, pull-through welding and shot-blasting / painting processes.
The Solution
Dataranya has proposed energy monitoring & targeting.
Sub-meter individual machine-groups to level-load maximum demand, benchmark machine-group.
Check feasibility to shuffle energy-intensive operations between day shift & night shift.
Alerts to notify plant manager upon reaching contracted demand’s threshold consumptions (eg. 80%, 90% of contracted demand from Utilities).
Data Collected
Asset Utilization, energy consumption
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
Plastic Spoons Case study: Injection Moulding
In order to meet customer expectations by supplying a wide variety of packaging units, from 36 to 1000 spoons per package, a new production and packaging line needed to be built. DeSter wanted to achieve higher production capacity, lower cycle time and a high degree of operator friendliness with this new production line.
Case Study
KSP Steel Decentralized Control Room
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.
Case Study
Bluescope Steel on Path to Digitally Transform Operations and IT
Increasing competition and fluctuations in the construction market prompted BlueScope Steel to look toward digital transformation of its four businesses, including modern core applications and IT infrastructure. BlueScope needed to modernize its infrastructure and adopt new technologies to improve operations and supply chain efficiency while maintaining and updating an aging application portfolio.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
