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September 10, 2025Applied and Computational Engineering

Multi-Objective Optimization of Building Energy Performance Using Genetic Algorithms Analysis

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YMYunfei Mu

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Overview

This analysis reveals trade-offs between cooling energy reduction and CO emissions in buildings, suggesting effective optimization strategies.

Key Points

  • Prioritizing cooling energy reduction led to higher CO emissions, indicating trade-offs must be carefully managed.
  • Roof insulation thickness significantly impacted energy consumption, highlighting the importance of building materials.
  • Monte Carlo simulations provided insights into the influence of key parameters on thermal comfort and energy use.
  • Multi-objective optimization frameworks can balance energy efficiency and occupant comfort, promoting sustainable building practices.

Cite This Study

Yunfei Mu (2025) studied this question.

synapsesocial.com/papers/68c1a13354b1d3bfb60dc564https://doi.org/10.54254/2755-2721/2025.gl25481
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