Enabling Transformation

Use Cases - Industry

Policy Makers, Government, Regulatory Bodies, Industries, Industry Associations

Enabling Decision-Makers, Policy Makers and Industry Leaders to Strategize, Plan, Execute and Evaluate Impact

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Determine Sources Of Air Pollutants For Mitigation And Regulatory Compliance Actions for Industry

Emissions inventories are an essential input to mathematical models that estimate air quality. The effect on air quality based on the release of emissions by Industries need to be assessed and predicted so that the necessary regulatory controls can either be applied or modified. This would allow the Industry and the Regulatory bodies to plan a structured reduction in pollutant emissions.

Providing and predicting information on pollution and emission levels, along with recommended interventions and identification of pollutant sources, can be delivered by the Vāyu Darpan suite of Tools. 

Actionable Information

  • Empowering users with specific knowledge and data pertaining to the emissions
  • Respective sources of pollutants and their range
  • Prediction of emissions impact based on multiple source identification
  • Assessment of Type of Industry that needs to be supported
  • Data based  decision making to comply with EH&S policies

Solution Delivery Process

4

Vāyu Darpan​-EIT

Delivers data on emission contributors and sources with respective geospatial locations

1

Choose Data

Choose common demographic/urban metrics (population, vehicle count, etc.) as inputs

2

Sectors & Activity

ML-driven environmental models estimate emission contribution of sectors & urban activities

 3

Scenario Analysis

AI-driven geospatial models attribute emissions to specific locations and hotspots

5

Benefits

Geospatially precise emissions data layer can be foundations for correlative studies

1. Pollution and Disease Occurrence

2.Pollution and Socio-economic metrics

4

Vāyu Darpan-EPP

Metrics can be modelled to simulate correlative emission impacts and enable predictive planning

Solution Delivery Process

1

Choose Data

Choose common demographic/urban metrics (population, vehicle count, etc.) as inputs

2

Sectors & Activity

ML-driven environmental models estimate emission contribution of sectors & urban activities

 3

Scenario Analysis

AI-driven geospatial models attribute emissions to specific locations and hotspots

4

Vāyu Darpan-EPP

Metrics can be modelled to simulate correlative emission impacts and enable predictive planning

4

Vāyu Darpan​-EIT

Delivers data on emission contributors and sources with respective geospatial locations

5

Benefits

Geospatially precise emissions data layer can be foundations for correlative studies

1. Pollution and Disease Occurrence

2.Pollution and Socio-economic metrics

Vāyu Darpan - Use Case

As a
diagnostic tool

Industry leaders and organizations aiming to safeguard Environmental Health & Safety (EHS) interests of their communities can use Vāyu Darpan-EIT to track and manage the emissions contributions of their various industrial equipment, processes and systems. It provides a simplified and automated way to manage emissions in real-time and ensure compliance to pollution regulations

Bridging Science, Technology and Policy

Safeguarding Employee Health and ensuring EHS compliance

A major Automotive-parts manufacturer has been coming under increasing pressure from government and citizen groups who are pushing for the manufacturer to comply with pollution control regulation.

These groups are citing instances of smog and aerobic ailments to citizens from
surrounding areas. The manufacturer hopes to address this issue and avoid adverse effects to the neighboring community, while avoiding hefty fines and levies due to the government for environmental violations.

The manufacturer would also like to use this as an opportunity to safeguard the Environmental Health & Safety (EHS) of its employees and demonstrate its concern for the wellbeing of its staff and communities.

However, the manufacturer faces the challenge of finding and quantifying its major pollution-emitting processes and equipment. Additionally, the manufacturer would need to replicate these outcomes across its various facilities and plants across the country. Traditional approaches are difficult to standardize across locations and are extremely capital and time intensive.

Approach to the Solution

Stakeholders and Beneficiaries

Short Term Impact

Long Term Impact

Vāyu Darpan - Use Case

As a
Planning tool

Vāyu Darpan Emission Planner and Predictor enables scenario simulations that allow industries and organizations to assess their future actions and stay aligned with evolving environmental regulations. Users can input their information regarding their planned developments and operations into Vāyu Darpan-EPP and forecast their impact on emissions

Bridging Science, Technology and Policy

Planning and executing sustainable growth initiatives

Medical Doctor holding a world globe in his hands as medical network concept

This automotive-parts manufacturer is experiencing a very sudden increase in demand for its products. Initial forecasts indicate that this increased demand is likely to be sustained for the foreseeable future.  

The demand has increased to such an extent that the manufacturer is forced to choose between increasing its production capacity with more resources and equipment, or to increase its manufacturing lead time and risk losing some of its orders. 

The manufacturer must make the decision in careful consideration of potential new revenue, while also taking into account Environment Health & Safety (EHS) regulation. 

To audit and survey its equipment and processes, by hiring scientific consultants, the manufacturer risks loosing potential revenue increases.

Approach to the Solution

Stakeholders and Beneficiaries

Short Term Impact

Long Term Impact

Converge. Create. Change