Perceptual Intelligence and Passive Energy Saving Strategies in Building Systems: Adaptive Frameworks for Sustainable Performance in Hot Climates
Abstract
This paper investigates how perceptual awareness of daylight contributes to
passive energy-saving strategies and the overall performance of building
systems in hot climates. The study aims to identify how human cognition and
environmental perception—often neglected in technologically oriented
sustainability approaches—affect the energy efficiency of built environments.
Methodologically, the research applies a comparative qualitative framework,
combining theoretical analysis of environmental perception models with case
studies of vernacular architecture in arid regions. Architectural examples
from Qajar-era buildings in Kashan, Iran, were analyzed to examine how spatial
configuration, material selection, and daylight modulation enabled adaptive
thermal comfort and visual quality without mechanical intervention.
Results indicate that vernacular passive systems effectively integrated
perceptual feedback and user participation, allowing occupants to regulate
comfort through intuitive spatial behaviors. In contrast, contemporary
mechanically controlled buildings often disrupt this cognitive-environmental
connection, leading to increased energy use and reduced user engagement.
The findings highlight the need to reintegrate perceptual feedback
mechanisms into modern green-building technologies—including smart
façades, daylight-responsive dashboards, and adaptive lighting systems.
Embedding behavioral and perceptual intelligence into building-management
frameworks enhances both energy efficiency and occupant satisfaction.
The study concludes that future sustainability depends on systemic
cooperation between human perception and adaptive control systems.
Integrating passive design principles with perceptually informed technologies
provides a pragmatic pathway toward low-carbon, high-performance building
systems that cultivate user awareness alongside technological precision.
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