Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an adaptive reinforcement learning (RL) framework for urban microgrids, optimizing diverse energy sources. The system significantly cuts emissions and energy use in arid climates.
Area Of Science
- Renewable Energy Systems
- Artificial Intelligence in Energy Management
- Urban Sustainability
Background
- Urban microgrids face challenges managing variable renewable energy and dynamic demand, especially in arid climates with extreme temperatures.
- Conventional energy management systems (EMS) lack the adaptability for fluctuating renewable generation and demand.
- Inefficiencies persist in coordinating diverse energy sources within urban microgrids.
Purpose Of The Study
- To develop a simulation-based, adaptive reinforcement learning (RL) framework for optimizing energy management in urban microgrids.
- To address inefficiencies in coordinating solar, wind, diesel, and battery resources.
- To enable real-time energy sharing between microgrids through inter-microgrid communication.
Main Methods
- Developed a simulation platform integrating EnergyPlus with Python/TensorFlow RL agents.
- Implemented dynamic optimization for dispatching solar, wind, diesel, and battery resources.
- Integrated MQTT protocols for inter-microgrid communication and real-time energy sharing.
Main Results
- Achieved high predictive accuracy for hourly and annual energy consumption (R² = 0.94 and 0.90).
- Reduced CO2 emissions by 14%, SO2 emissions by 13.6%, and primary energy consumption by 10% compared to baseline methods.
- Validated the framework in a case study simulating Riyadh's climatic conditions, showing improved operational and environmental performance.
Conclusions
- The adaptive RL framework effectively manages energy in urban microgrids, particularly in arid regions.
- The integration of simulation, RL, and inter-microgrid communication offers a robust solution for energy management challenges.
- The proposed system demonstrates significant potential for enhancing the efficiency and sustainability of urban energy systems.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
The oceans are one important focus of global conservation efforts. Overfishing,...
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
• If a person smiles at you after you greet them and you continue talking, the smile is a positive reinforcement for your greeting.
•...
Reinforced concrete is a composite material used extensively in construction, combining the compressive strength of concrete with the tensile strength of steel. This synergy is essential as concrete, while excellent at resisting compression, is weak under tension. Steel bars, or rebars, are embedded in the concrete to handle these tensile forces. The choice of steel is strategic; it shares a similar coefficient of thermal expansion with concrete, which ensures uniformity in response to...
The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...