Using AI to analyze energy usage patterns and optimize power distribution.
Role | Deep Tech Used | Impact Vector | Industry | Impact Vector %Benefit |
---|---|---|---|---|
CEO | Artificial Intelligence (AI), Data Insights | Data | Energy & Utilities | 36% |
Using AI to analyze energy usage patterns optimizes power distribution by predicting demand fluctuations, identifying opportunities for energy conservation, and ensuring efficient resource allocation. This data-driven approach improves grid performance, reduces energy wastage, and enhances overall energy management.
Problem Statement: A coal-fired power plant in India was struggling with inefficiencies in its coal handling processes. Manual operations led to inconsistencies in coal properties such as size, grade mix, and moisture levels. These variations resulted in higher loss on ignition, undetected issues in coal handling plant screens, and increased heat losses in the boilers. The facility needed a real-time monitoring and optimization solution to improve boiler efficiency, reduce unburnt carbon, and lower overall power generation costs.
Solution: The power plant implemented an AI-based computer vision system to monitor and optimize its coal handling and combustion processes. This technology provided:
Results/Benefits:
The AI system’s ability to provide real-time insights enabled the plant operators to make data-driven decisions, leading to more efficient resource utilization and improved boiler performance. By optimizing the coal properties and combustion processes, the power plant significantly enhanced its operational efficiency and reduced its environmental impact.
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