A-RESS new dynamic and smart system for renewable energy sharing problem.

Area of Science:

• Energy Systems Engineering
• Computer Science
• Environmental Science

Background:

• Fossil fuels dominate global electricity generation but drive climate change and face resource depletion.
• Renewable energy offers sustainability and environmental benefits but suffers from high investment costs and reliability issues.
• Existing renewable energy systems often fail to meet continuous energy demand, especially in underserved regions due to climate dependency.

Purpose of the Study:

• To formalize the renewable energy distribution problem using Constraint Optimisation Problem (COP).
• To develop a novel multi-agent dynamic system for efficient renewable energy sharing.
• To address the challenges of reliability and continuous energy supply from renewable sources.

Main Methods:

• Formalization of the renewable energy distribution problem as a Constraint Optimisation Problem (COP).
• Development and implementation of a novel Agent-based Renewable Energy Sharing System (A-RESS).
• Evaluation of system performance based on produced, consumed, and lost energy metrics.

Main Results:

• The proposed A-RESS system demonstrates efficiency in managing renewable energy distribution.
• The system effectively balances produced, consumed, and lost energy.
• The approach provides a robust solution for enhancing the reliability of renewable energy supply.

Conclusions:

• The Agent-based Renewable Energy Sharing System (A-RESS) offers an effective solution for optimizing renewable energy distribution.
• The formalization using COP and the multi-agent dynamic approach address key challenges in renewable energy integration.
• The developed system shows significant potential for improving energy access and reliability in various regions.