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This research aims to create a comprehensive model for optimizing building design by balancing thermal comfort, energy efficiency, and cost.

May 20, 2026Journal of Renewable and Sustainable Energy

A microclimate-based framework for multi-objective optimization of residential building design

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This research aims to create a comprehensive model for optimizing building design by balancing thermal comfort, energy efficiency, and cost.
Developed a synergistic optimization model using microclimate simulations and a genetic algorithm.
Conducted a case study in Hebei Province, China, focusing on designs suited for a temperate monsoon climate.
Evaluated multiple objectives such as indoor thermal comfort, energy savings, and construction costs.
Achieved a 2–3 °C reduction in indoor temperature.
Demonstrated 15%–20% energy savings while introducing a cost increase of only 5%–8%.

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Implication

Randomized trial develops an optimization model improving energy efficiency and comfort in residential buildings, indicating benefits for sustainable design.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5040f03e14405aa9bdc8 https://doi.org/10.1063/5.0310440

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Implication

Randomized trial develops an optimization model improving energy efficiency and comfort in residential buildings, indicating benefits for sustainable design.

A microclimate-based framework for multi-objective optimization of residential building design

Key Points

Discussion

Implication

Cite This Study

A microclimate-based framework for multi-objective optimization of residential building design

Key Points

Discussion

Implication

Cite This Study

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