Enhancing energy-efficient building design: a multi-agent-assisted MOEA/D approach for multi-objective optimization

Guo, Wei; Dong, Yaqiong

doi:10.1186/s42162-024-00406-3

Energy Inform

2024

DOI: 10.1186/s42162-024-00406-3

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Enhancing energy-efficient building design: a multi-agent-assisted MOEA/D approach for multi-objective optimization

Wei Guo,

Yaqiong Dong

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2024

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Cited by 2 publications

References 25 publications

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Building Energy Efficiency Design and Energy Consumption Analysis Based on MOEA/D Algorithm

Wang

2024

IEEE Access

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Building Energy Efficiency Design and Energy Consumption Analysis Based on MOEA/D Algorithm

Wang

2024

IEEE Access

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A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea’s Tiered Pricing System

Kharatovi,

Gantassi,

Masood

et al. 2024

Applied Sciences

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This study proposes a multi-objective optimization framework for peer-to-peer (P2P) energy trading in South Korea’s tiered electricity pricing system. The framework employs the Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) to optimize three conflicting objectives: minimizing consumer costs, maximizing prosumer benefits, and enhancing energy utilization. Using real microgrid data from a South Korean community, the framework’s performance is validated through simulations. The results highlight that MOEA/D achieved an optimal cost of KRW 32,205.0, a benefit of KRW 32,205.0, and an energy utilization rate of 57.46%, outperforming the widely used NSGA-II algorithm. Pareto front analysis demonstrates MOEA/D’s ability to generate diverse and balanced solutions, making it well suited for regulated energy markets. These findings underline the framework’s potential to improve energy efficiency, lower costs, and foster sustainable energy trading practices. This research offers valuable insights for advancing decentralized energy systems in South Korea and similar environments.

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Enhancing energy-efficient building design: a multi-agent-assisted MOEA/D approach for multi-objective optimization

Cited by 2 publications

References 25 publications

Building Energy Efficiency Design and Energy Consumption Analysis Based on MOEA/D Algorithm

Building Energy Efficiency Design and Energy Consumption Analysis Based on MOEA/D Algorithm

A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea’s Tiered Pricing System

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