Artificial intelligence tools deployed at a sewage treatment plant in Bengaluru have successfully reduced power consumption by 25%, marking a significant milestone in sustainable urban infrastructure. The Bangalore Water Supply and Sewerage Board (BWSSB) officials reported that while the performance of the AI system may vary across different sewage treatment plants (STPs), they are confident it will deliver an average power reduction of 20 to 25 percent.
How AI Optimizes Energy Use
The AI tool analyzes real-time data from various sensors and operational parameters to optimize the treatment process. By adjusting aeration, pumping, and chemical dosing based on inflow and load variations, the system minimizes energy waste without compromising treatment quality. This intelligent automation ensures that energy is used only when and where needed, leading to substantial savings.
Implementation and Results
Initial trials at one of Bengaluru's major STPs showed a consistent 25% drop in electricity consumption. The BWSSB plans to scale up the deployment to other plants across the city. Officials believe that widespread adoption could save crores of rupees annually in electricity costs, while also reducing the carbon footprint of wastewater treatment operations.
Challenges and Future Plans
While the technology shows promise, its effectiveness depends on the specific conditions of each plant, including age of equipment, inflow patterns, and staff training. BWSSB is working with technology partners to customize the AI models for different facilities. The board also aims to integrate predictive maintenance features to further enhance efficiency and reduce downtime.
This initiative aligns with Bengaluru's broader smart city goals and demonstrates how AI can drive sustainability in critical urban services. As water scarcity and energy costs rise, such innovations offer a scalable solution for cities worldwide.
