Digitising legacy methods of air quality, dust and noise management at a steelmaking operation in Europe

One of the largest steel facilities in Europe needed to minimise unplanned stoppages that occur due to threshold exceedances of environmental parameters at its site boundaries resulting in pressure from regulators and neighbouring community. 

Company

A global conglomerate with a presence across industries such as agrochemical, automotive, chemicals and finance. This factory is one of the largest steel producers in Europe and produces nearly 5 million tonnes of steel slabs per annum.

Industries

Industrial

Platforms

EVS Omnis

Challenge

Limited understanding of site-generated emissions and manual environmental monitoring systems

The steel factory in Europe was facing issues with frequent operational downtime due to environmental incidents. Complaints from the neighbouring community about dust residue and odour had been on the rise with the facility incurring hefty financial penalties as well as costly investigative processes. Teams on the ground were tasked with manual collection of data that was captured across multiple platforms and fragmented in various data siloes. 

With limited digitisation across the facility, the teams at the plant heavily relied on conducting manual air quality audits to understand emission sources and exceedances in case of environmental incidents. The management struggled to maintain environmental compliance for both noise and air quality regulations without a complete understanding of site’s monitoring network and real-time alerts of potential threshold breaches at its site boundaries.

"With the Envirosuite solution, we now have an improved understanding of our environmental impacts. With predictive modelling and real-time data, we can proactively manage the risks and improve response times. Advanced software enables us to identify and mitigate problems, as well as focus on improvements to provide better outcomes for both our business and the community."

- Sustainability Manager, Steelmaking Facility

Solution

Using the existing environmental monitoring network to identify real-time impact

To collect data directly from its existing network of environmental monitors in real time, the steel giant partnered with Envirosuite for its environmental management software—EVS Omnis. The platform’s unique solution for both air quality, dust and noise monitoring worked well with the teams’ need to understand the impact of emissions at site boundaries as well as identify their sources for incident mitigation.

Real-time, advanced insights on air quality emissions from EVS Omnis help industrial operators mitigate site impact on surrounding communities.

EVS Omnis enabled ground teams to track emission sources using the platform’s reverse trajectory modelling capabilities and validate community complaints. Additionally, the management at the facility made the most of Envirosuite’s advanced hyperlocal weather forecasting feature to model the impact of meteorological conditions and allocate appropriate risk mitigation tactics to those conditions. 

Investigation time of environmental complaints and the source of emissions can be shortened with EVS Omnis.

Results

Rapid response to environmental incidents that damage the facility’s social license to operate

Since the implementation of EVS Omnis, the steelworks facility can now use insights from the platform to act before air quality and noise incidents occur at its operations to respond rapidly and more effectively. Operational staff at the site can better manage the air quality impacts with predictive modelling, while providing real-time data and more timely responses to the surrounding communities.

EVS Omnis provides 24/7 noise monitoring for teams at industrial operations to operate efficiently within compliance threshold limits.

EVS Omnis has equipped the teams at the facility with deeper, actionable insights into their environmental footprint and helped digitise air quality and dust management reporting. Utilising Envirosuite’s proprietary algorithms and predictive modelling capabilities, the steel giant can now measure and monitor air quality and noise emissions more accurately to ensure compliance with regulatory standards.

Find out more in detail about how the steel producer in Europe used environmental intelligence to:  
  • Collect and analyse fragmented data from its monitoring network. 

  • Identify the source of site-generated emissions. 

  • Schedule plant activities to minimise operational downtime. 

Click here to download our free case study.