Design optimisation of mean room surface exitance and total corneal illuminance using Monte Carlo simulation  

作　　者：Rizki A.Mangkuto Beta Paramita 

机构地区：[1]Building Physics Research Group,Faculty of Industrial Technology,Institut Teknologi Bandung,Bandung 40132,Indonesia [2]Architecture Study Program,Faculty of Technology and Vocational Education,Universitas Pendidikan Indonesia,Bandung 40154,Indonesia

出　　处：《Building Simulation》2022年第11期1869-1882,共14页建筑模拟（英文）

基　　金：funded by the Ministry of Education,Culture,Research,and Technology of the Republic of Indonesia,under grant number 317/UN40.LP/PT.01.03/2021,under LPPM Universitas Pendidikan Indonesia(UPI).

摘　　要：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.

关 键 词：mean room surface exitance corneal illuminance surface reflectance design optimisation Monte Carlo simulation 

分 类 号：TU113.666[建筑科学—建筑理论]