Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
How can India harness the power of artificial intelligence alongside renewable energy technologies to develop a sustainable and resilient energy infrastructure, addressing the dual challenges of energy demand and environmental impact?
India should employ the use of Artificial intelligence expound renewable energy system to enhance the increasing energy demand and effects on the surrounding environment.
1. Grid Integration and Stability:
Predictive Modeling: AI can predict fluctuation in grid based on the weather forecasts, energy and renewables generation forecasts. This goes a long way in advance the modifications in the energy production and distribution patterns that is so crucial for stabilizing these grids even where the wind and or solar penetrations are in the picture.
-Demand-Side Management: AI smart grid could use energy alert, which draws real time data regarding the energy utilization and incentives overt consumer to switch to non-peak or off-peak hours effectively managing the supply and demand hence, avoiding expensive peak load power plants.
-Site Selection and Optimization: Geographical information and climate and ecological information can be utilized by artificial intelligence to determine which specific regions are best suited for utilization to renewable energy resources, and where the highest rate of utilization with the least amount of negative effect can be expected.
3. Research and Development:
-Material Discovery: Through artificial intelligence, the development of new materials for solar cells, batteries and other renewable energy technologies can be done in shorter time and at lower costs.
-Energy Storage Solutions: AI can improve design and performance of various storage systems whether it is battery or pumped hydro systems and also reduce the cost to obtain them.
4. Policy and Decision Making:
-Energy Policy Formulation: It can analyze massive sets of data referring to energy usage, environmental condition, and economic conditions in order to predict proper energy policies and laws.
Examples of AI Applications in India’s Renewable Energy Sector:
ReNew Power: Ways of integration of artificial intelligence into the field of wind energy for increasing the effectiveness of wind turbines and to anticipate excessive wear and tear.
Tata Power: Integrates AI for the forecast of solar energy generation and also facilitates participating in grid balancing.
Indian Institute of Technology (IIT) Madras: Investing in the growth of intelligent software applications for integration, demand side management and distributed renewable generation forecasting.