Future Planning
- Green Steel Manufacturing
- Green Hydrogen generation
- Robotic Automation Development
- Collaboration with IIT
Green Steel Production
Objective:
Transition to sustainable and environmentally friendly steel manufacturing processes.
METHODS:
- Adoption of electric arc furnaces (EAF) powered by renewable energy sources.
- Utilization of scrap steel to reduce reliance on raw iron ore.
- Incorporation of carbon capture and storage (CCS) technologies to minimize emissions.
Expected Outcomes:
- Reduction in carbon footprint.
- Compliance with environmental regulations and standards.
- Enhanced market competitiveness through sustainable practices.
Green Hydrogen Production
Objective:
Develop and integrate green hydrogen as a clean energy source for steel production.
METHODS:
- Electrolysis of water using renewable energy (solar, wind) to produce hydrogen.
- Collaboration with IIT Kharagpur for research and development in efficient hydrogen production technologies.
- Integration of hydrogen into the steel production process to replace conventional fossil fuels.
Expected Outcomes:
- Significant reduction in greenhouse gas emissions.
- Establishment of a sustainable energy supply chain.
- Pioneering leadership in green hydrogen adoption within the industry.
AI-Driven Automation Development
Objective:
Enhance automation capabilities through the integration of AI technology
METHODS:
- Collaborate with IIT Kharagpur to develop AI-based automation solutions for production lines.
- Implement AI-driven predictive maintenance systems to optimize equipment performance and reduce downtime.
- Use AI for process optimization, quality control, and supply chain management.
Objective:
- Increased efficiency and productivity in manufacturing processes.
- Improved product quality and consistency.
- Reduced operational costs through predictive maintenance and optimized resource utilization.
Collaboration with IIT
scope of collaboration:
- Joint research projects on green steel and hydrogen production technologies.
- Development of AI algorithms and automation systems tailored to our manufacturing processes.
- Internship and training programs to leverage the expertise of IIT’s faculty and students.
scope of collaboration:
- Access to cutting-edge research and technological advancements.
- Strengthened innovation capabilities through academic-industry partnerships.
- Enhanced reputation and credibility in sustainable manufacturing practices.
Implementation Timeline:
Short-term
(1-2 years):
- Establish research collaboration with IIT.
- Initiate pilot projects for green steel production and hydrogen generation.
- Develop and test AI-driven automation prototypes.
medium-term
(3-5 years):
- Scale up green steel production and hydrogen integration processes.
- Implement AI automation systems across production lines.
- Monitor and optimize the performance of sustainable initiatives.
long-term
(5+ years):
- Scale up green steel production and hydrogen integration processes.
- Expand green hydrogen usage across all operations.
- Continuously innovate and enhance AI-driven automation capabilities