Artificial Intelligence-Catalyst for a Sustainable Energy Future
Kolkata, 24th December 2024: Artificial Intelligence (AI) is transforming the green energy sector by boosting efficiency, reducing costs and creating smarter, more sustainable energy systems. As the world confronts climate change, AI is playing a pivotal role in accelerating the transition to a clean, reliable energy future. Keeping this in mind, today Future for Nature Foundation & New Bengal Consulting (NBS) organised an International Conference on the role that Artificial Intelligence (AI) to empowering the future of Green Energy in august presence of Prof. Kamal Sarkar, Jadavpur University; Smt Suchandra Sengupta of Microsoft; Dr Sohini Bhattacharya from Rice University USA; Prof Binot K.Chowdhury IISWBM; Shri Sandeep Sengupta Director ISOAH; Shri Sudipta Mukherjee MD TEXMACO; Shri Sanjeev Sinha President India Power; DR Amit Kumar Das Dean, IEM Consultancy Services; Shri Sumanta Sarkar, Director Lithium Pills along with Shri Debashish Sen IAS & Founder CEO NBS, Dr Swati Nandi Chakraborty president of Future for Nature, few noted Environmental Economists & other dignitaries. The panel discussion of the afternoon session was focused on how AI can be the driving force for the innovation in green energy. Over 100 students from Calcutta University, Ramkrishna Mission Residential College and IEM College Kolkata attended the afternoon session, gaining valuable insights and knowledge.
AI is transforming green energy by optimizing how we generate, store, and use power. It predicts renewable energy output, enhances grid efficiency, and ensures stable storage. “AI is powering the shift to a sustainable energy future, delivering smart solutions for a cleaner, more efficient world. AI plays a crucial role in driving sustainable solutions to combat climate change. It’s my pleasure to moderate this discussion on ‘AI-Driven Innovations in Green Energy’ and explore how AI can help us achieve 100% green energy by 2070.” said Shri Debashis Sen IAS & Founder CEO NBS. Real-time analysis reduces waste, while smart appliances adapt to user behaviour to cut energy use. AI tracks carbon emissions, supports sustainable urban planning, and enables decentralized systems like peer-to-peer trading and microgrids. It also accelerates innovation, driving sustainable growth through data-driven policymaking and investment decisions. While addressing the media, Dr Swati Nandi Chakraborty, noted environmentalist and president of Future for Nature said “Artificial Intelligence is at the heart of the green energy transformation, enabling more intelligent and efficient systems that optimize energy production, storage, and consumption—paving the way for a cleaner, sustainable future for generations to come.” Here’s how AI is revolutionizing the green energy sector:
1. Optimizing Energy Generation
AI is revolutionizing renewable energy production. Advanced algorithms predict solar, wind, and hydroelectric output based on weather patterns, enabling precise forecasting and reducing waste. By enhancing energy planning, AI ensures a stable, renewable energy supply and less reliance on fossil fuels.
AI-powered smart grids optimize electricity distribution, balancing supply and demand in real time. This reduces energy loss, improves grid efficiency, and enhances resilience during peak demand.
2. Enhancing Energy Storage
AI is key to managing energy storage systems efficiently. It predicts usage patterns, prevents overcharging, and extends battery life. By determining the optimal times to store or release energy, AI ensures maximum efficiency and supports a stable energy grid.
3. Improving Energy Efficiency
AI helps businesses, homes, and industries reduce energy consumption. Through real-time energy analysis, AI identifies inefficiencies and suggests improvements, cutting both costs and environmental impact. Smart appliances and IoT devices, like intelligent thermostats, adapt to user habits, minimizing unnecessary energy use.
4. Lowering Carbon Emissions
AI tracks carbon emissions in real-time and suggests actionable strategies to reduce environmental impact. It also supports sustainable urban planning, helping design energy-efficient cities with optimized transport and infrastructure that lower carbon footprints.
5. Enabling Decentralized Energy Systems
AI enables peer-to-peer energy trading, allowing individuals with surplus energy—such as from solar panels—to sell directly to others. This decentralizes energy distribution, empowering consumers and reducing dependence on central grids.
In off-grid areas, AI optimizes microgrids, small, autonomous energy systems that provide reliable power to remote communities.
6. Accelerating Innovation
AI accelerates breakthroughs in green energy technologies. Material discovery algorithms help find new, more efficient materials for solar panels, wind turbines, and batteries. AI also speeds up design optimization, making the development of new energy systems faster and more cost-effective.
7. Informed Policy and Investment Decisions
AI is helping governments, investors, and organizations make smarter, data-driven decisions. By analysing large datasets, AI uncovers trends and opportunities in green energy, guiding investments. It also models the environmental and economic impacts of renewable energy policies, ensuring sustainable growth.
Thus, the whole session concludes with a note that, AI is more than just a technological tool; it’s a game-changer for the green energy sector. By optimizing energy production, improving storage, enhancing efficiency, and supporting decentralized systems, AI is unlocking new possibilities for a cleaner, more sustainable future.
