The Bangalore Water Supply and Sewerage Board (BWSSB) has reported a significant reduction in power consumption at its sewage treatment plants (STPs) following the deployment of artificial intelligence (AI) tools. The AI-driven system has achieved a 25% decrease in energy usage at a pilot plant, and officials are optimistic about broader implementation.
AI Integration at STPs
The AI tools are designed to optimize the operation of pumps, aerators, and other equipment based on real-time data. By analyzing parameters such as inflow rates, pollutant levels, and energy demand, the system adjusts processes to minimize power usage without compromising treatment quality. This intelligent automation not only cuts costs but also reduces the carbon footprint of the facilities.
Expected Performance Across Plants
While the AI tool's performance may vary across different STPs due to factors like plant capacity and wastewater composition, BWSSB officials are confident it will deliver an average power reduction of 20 to 25 percent. The board plans to scale up the technology to all major STPs in the city over the next year.
The initiative aligns with Bengaluru's sustainability goals and is part of a broader push to digitize water management infrastructure. By leveraging AI, BWSSB aims to achieve operational efficiency and cost savings, ultimately benefiting both the utility and consumers.
Officials emphasized that the AI system is continuously learning and improving, with updates expected to further enhance energy savings. The success of this pilot could set a precedent for other cities in India and abroad looking to modernize their wastewater treatment operations.
