| 1 |
Dynamic evaluation of daylight availability in a highly-dense Chinese residential area with a cold climate
Lu M, Du JT
Energy and Buildings, 193, 139, 2019 |
| 2 |
Preliminary results on a novel photo-bio-screen as a shading system in a kindergarten: Visible transmittance, visual comfort and energy demand for lighting
Pagliolico SL, Verso VRM, Zublena M, Giovannini L
Solar Energy, 185, 41, 2019 |
| 3 |
Evaluation of the thermal and optical performance of thermochromic windows for office buildings in China
Liang RQ, Sun YY, Aburas M, Wilson R, Wu YP
Energy and Buildings, 176, 216, 2018 |
| 4 |
Review of solar irradiance and daylight illuminance modeling and sky classification
Li DHW, Lou SW
Renewable Energy, 126, 445, 2018 |
| 5 |
Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China
Zhang AX, Bokel R, van den Dobbelsteenb A, Sun YC, Huang Q, Zhang Q
Energy and Buildings, 139, 371, 2017 |
| 6 |
Accuracy analysis of computational algorithms for prediction of daylight illuminance in space with shading devices
Yoon Y, Moon JW, Alzoubi HH, Kim S
Solar Energy, 153, 700, 2017 |
| 7 |
Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate
Singh R, Lazarus IJ, Kishore VVN
Applied Energy, 184, 155, 2016 |
| 8 |
Development of annual daylight simulation algorithms for prediction of indoor daylight illuminance
Yoon Y, Moon JW, Kim S
Energy and Buildings, 118, 1, 2016 |
| 9 |
Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions
Das A, Paul SK
Applied Energy, 158, 65, 2015 |
| 10 |
Simulation of luminance sky patterns predetermining daylight illuminance on vertical house fronts with windows
Darula S, Kittler R, Komar L
Solar Energy, 120, 195, 2015 |
