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PS 26061SOFTWAREMiscellaneousFast Prototype (36h)

AI-Driven Smart Energy Management System for Polar Research Stations

Ministry of Earth Sciences (MoES)• National Centre for Polar andOcean Research (NCPOR)
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30-Second Plain English Summary

Indian Antarctic stations rely almost exclusively on burning expensive, carbon-intensive Aviation Turbine Fuel (ATF / Jet A-1) transported by ship for diesel generator power and heating, facing severe logistics costs and environmental impact under Antarctic Treaty regulations. Build an AI-driven Smart Microgrid & Energy Management System for Polar Research Stations that dynamically orchestrates wind turbines, bifacial solar PV arrays, battery energy storage (BESS), and diesel cogeneration (CHP) to minimize fuel consumption.

5-Dimension Strategic ScorecardOverall Score: 3.9 / 5.0
Innovation
4 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.5 / 5
Jury Appeal
3.7 / 5
Tech Depth
3.8 / 5
Recommended System Architecture Pipeline
Wind Turbines + Bifacial PV + Diesel Gensets -> Microgrid Fast Controller -> Predictive MPC Energy Dispatch AI -> Thermal CHP Heat Recovery -> Polar Energy Console
Recommended Tech StackClick to search similar
Official Government Problem Description
Develop an intelligent energy-management system using AI for load forecasting, renewable energy integration and fuel optimization under extreme polar conditions.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26061: "AI-Driven Smart Energy Management System for Polar Research Stations", Ministry: Ministry of Earth Sciences (MoES). Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26061)

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