A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Design optimisation of mean room surface exitance and total corneal illuminance using Monte Carlo simulation
In lighting design, mean room surface exitance (MRSE) has been known as an indicator of the adequacy of illumination in an indoor space. Recent studies have suggested an exponential model relating MRSE and the observer’s retinal response. This is particularly applicable in a room with homogenous room surface reflectance and a constant total corneal illuminance, which is the total illuminance received at the eye. However, accuracy of the exponential model is yet to be assessed in detail. Furthermore, the implication on interior lighting design is also yet to be quantified. This study thus aims to assess the accuracy of the exponential model and to optimise the output variables. Random computations using Monte Carlo simulation are performed for various input variables, followed with sensitivity and uncertainty analyses and optimisation. Prediction errors of the exponential model are found between -10% and 6%. The MRSE is highly influenced by surface reflectance, whereas the total corneal illuminance is influenced by the source luminous flux. Optimum design parameters are obtained by minimising the ratio between total corneal illuminance and MRSE. Overall, this study provides guidelines in lighting design practice for enhancing room spatial brightness while minimising energy use.
Design optimisation of mean room surface exitance and total corneal illuminance using Monte Carlo simulation
In lighting design, mean room surface exitance (MRSE) has been known as an indicator of the adequacy of illumination in an indoor space. Recent studies have suggested an exponential model relating MRSE and the observer’s retinal response. This is particularly applicable in a room with homogenous room surface reflectance and a constant total corneal illuminance, which is the total illuminance received at the eye. However, accuracy of the exponential model is yet to be assessed in detail. Furthermore, the implication on interior lighting design is also yet to be quantified. This study thus aims to assess the accuracy of the exponential model and to optimise the output variables. Random computations using Monte Carlo simulation are performed for various input variables, followed with sensitivity and uncertainty analyses and optimisation. Prediction errors of the exponential model are found between -10% and 6%. The MRSE is highly influenced by surface reflectance, whereas the total corneal illuminance is influenced by the source luminous flux. Optimum design parameters are obtained by minimising the ratio between total corneal illuminance and MRSE. Overall, this study provides guidelines in lighting design practice for enhancing room spatial brightness while minimising energy use.
Design optimisation of mean room surface exitance and total corneal illuminance using Monte Carlo simulation
Build. Simul.
Mangkuto, Rizki A. (author) / Paramita, Beta (author)
Building Simulation ; 15 ; 1869-1882
2022-11-01
14 pages
Article (Journal)
Electronic Resource
English
mean room surface exitance , corneal illuminance , surface reflectance , design optimisation , Monte Carlo simulation Engineering , Building Construction and Design , Engineering Thermodynamics, Heat and Mass Transfer , Atmospheric Protection/Air Quality Control/Air Pollution , Monitoring/Environmental Analysis
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