Institute of Environmental Technology
The R&D Center aims to secure differentiated technological competitiveness by establishing technology strategies and
continuously developing and acquiring technologies to respond to changes in the future environmental industry.
Long-term O&M business
Strengthening competitiveness
in private investment projects
Total lifecycle costs
(construction & operation)
Securing optimized
technology solutions
Digital
Transformation
Process & Operational
Technology Development
Technology Development
- Identification and evaluation of promising technologies
- Development and validation of process technologies
- Development of optimized operation and management technologies for environmental facilities
Technical Support & Improvement
- Troubleshooting and operational efficiency improvement for operating sites
- Analysis and evaluation of process technologies
- Enhancement of operational capabilities through technical training
Digital Transformation
- Exploration and application of advanced digital technologies in environmental and energy sectors
- Integrated management of asset and operational data (cloud-based)
- Data analysis and operational optimization using digital technologies (AI, big data, etc.)
Key Research Areas
- Smart O&M
-
- Efficient operation and management through digitalization of environmental facility assets and operational data
- Intelligent O&M using advanced data management technologies (AI, big data, etc.)
- Water-Energy Nexus
-
- Production of high-quality biogas from organic waste as a renewable energy source
- Conversion of carbon dioxide into methane using microorganisms
- Standalone desalination technologies utilizing solar energy
- Water Reuse
-
- Efficient operation and management through digitalization of environmental facility assets and operational data
- Intelligent O&M using advanced data management technologies (AI, big data, etc.)
Digital Transformation Strategy
Key Digital Transformation Initiatives
- Project Name
- Description
- Integrated data collection and management system for PPP project operations
- Establishment and operation of an integrated data collection and
management system through cloud adoption
- AI-based membrane fouling optimization
- Development of technologies to optimize membrane fouling control and
reduce operating costs using membrane process operation data
- Automated and optimized chemical dosing system for water treatment
- Reduction of chemical dosing costs through the adoption of water quality sensors
and real-time data integration
- Integrated management of operational data for municipal O&M sites
- Development of an integrated operational information platform linked
with the national water quality management system
- Real-time remote technical support
- Real-time technical support and operational guidance
through remote video communication
- Sensor-based anomaly detection for mechanical equipment
- AI-based analysis of sensor data (vibration, noise, temperature, etc.)
for monitoring and predictive maintenance of mechanical equipment such as pumps
