BS2025 / Program / Multi-objective optimization of energy, thermal comfort and daylighting for exhibition building design based on a spatial archetype

Multi-objective optimization of energy, thermal comfort and daylighting for exhibition building design based on a spatial archetype

Location
Room 7
Time
August 26, 3:45 pm-4:00 pm

The promotion of green buildings represents a critical global strategy for mitigating climate change and addressing energy scarcity. The building sector accounts for approximately 40% of global energy consumption, 36% of carbon dioxide emissions, and 50% of electricity demand. Exhibition buildings, as important public structures, face unique environmental challenges.

They must maintain stable indoor conditions while satisfying strict lighting controls for exhibit preservation, which conflicts with visitors’ needs for natural light and thermal comfort. These competing demands complicate energy efficiency and operational costs for air conditioning and lighting systems. Current research has identified atriums as critical elements affecting both spatial and environmental performance in public buildings. While numerous multi-objective optimization (MOO) studies have been conducted on public buildings with atriums, they primarily address office and educational buildings, overlooking the unique requirements of exhibition architecture. In contrast, research specific to exhibition buildings has taken a different approach. These studies have primarily focused on specific systems or late-stage optimization, with a lack of attention to early-stage spatial archetype optimization.

In summary, existing research on exhibition building optimization shows significant limitations. Current multi-objective optimization (MOO) frameworks fail to address specialized spatial requirements for both artifacts and visitors, especially during early design stages. This gap exists because exhibition buildings lack a well-defined spatial archetype. Most existing frameworks focus on isolated building systems rather than integrated spatial solutions. To address these limitations, it is necessary to first establish an appropriate spatial archetype for exhibition buildings, and subsequently develop specialized MOO frameworks for their early-stage design process.

This study proposes a MOO framework for exhibition building design based on a spatial archetype. The framework focuses on optimizing Energy Use Intensity (EUI), Predicted Mean Vote (PMV), Spatial Daylight Autonomy (sDA), and area of exhibition and collection storage spaces (A_ec). Results of a case study showed that the Pareto solutions achieved maximum improvements of 5.1% reduction in EUI, 17.1% reduction in PMV, 35.3% increase in sDA, and 108.2% increase in A_ec, respectively.

The optimized solutions for lower energy consumption and expanded exhibition space were found to be with a square-shaped atrium positioned near the southern side, narrow transitional halls, and maximized full-height areas, though potentially sacrificing some thermal comfort. The atrium position, size, and proportion are the most influential design variables. These findings revealed critical performance trade-offs between different design variables, highlighting the importance of balanced design decisions in exhibition buildings.

Presenters

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