Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics
Sergey Ershov1, Vadim Sokolov1,2, Vladimir Galaktionov1
1Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
This study presents a fast virtual sensing method for calculating Daylight Autonomy metrics, essential for architectural design. The efficient approach accurately simulates annual sunlight exposure and spatial Daylight Autonomy, optimizing building energy performance.
Area of Science:
- Building Science and Architecture
- Computational Simulation and Modeling
- Sustainable Design and Energy Efficiency
Background:
- Virtual sensing technology offers a computational alternative to physical measurements in architectural design.
- Accurate daylight analysis is crucial for energy-efficient building design, necessitating efficient simulation methods.
- Key metrics like Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) require extensive annual simulations.
Purpose of the Study:
- To develop and present a computationally efficient method for calculating Daylight Autonomy metrics.
- To ensure the accuracy and practicality of the proposed method for complex architectural models.
- To incorporate an automated sensing area definition and an optimization procedure for blinds control within the simulation.
Main Methods:
- Implementation of a novel algorithm for the fast calculation of Daylight Autonomy metrics.
- Global illumination simulations performed hourly for an entire year.
- Development of an original algorithm for automatic sensing area setting and an optimization procedure for blinds control based on overexposure.
Main Results:
- The proposed method demonstrates good agreement with straightforward calculations and existing solutions, validating its accuracy.
- The method achieves significantly higher computational efficiency, enabling calculations within a reasonable timescale.
- The integrated blinds control optimization enhances the practical application of sDA calculations.
Conclusions:
- The developed method provides an accurate and efficient solution for annual daylight performance simulations in architectural projects.
- This approach facilitates multiple daylight metric calculations during project development, supporting energy-saving design decisions.
- The automated features and blinds control optimization represent advancements in virtual sensing for sustainable architecture.
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