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Articles

Simulating annual autoregulation of daylight by grating smart window with angular-selective transmission

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Pages 253-273 | Received 02 Apr 2023, Accepted 30 Aug 2023, Published online: 12 Sep 2023

References

  • The IESNA Lighting Handbook: Reference & Application. 2000. Illuminating Engineering Society of North America.
  • Allen, K., K. Connelly, P. Rutherford, and Y. Wu. 2017. “Smart Windows—Dynamic Control of Building Energy Performance.” Energy and Buildings 139: 535–546. https://doi.org/10.1016/j.enbuild.2016.12.093.
  • Bernett, A., K. Kral, and T. Dogan. 2021. “Sustainability Evaluation for Early Design (SEED) Framework for Energy Use, Embodied Carbon, Cost, and Daylighting Assessment.” Journal of Building Performance Simulation 14 (2): 95–115. https://doi.org/10.1080/19401493.2020.1865459.
  • Bogati, S., R. Basnet, W. Graf, and A. Georg. 2017. “Development of Photochromic Device with Magnetron Sputtered Titanium Dioxide and Tungsten Trioxide Films.” Solar Energy Materials and Solar Cells 166: 204–211. https://doi.org/10.1016/j.solmat.2017.03.020.
  • Bognár, Á, R. C. G. M. Loonen, and J. L. M. Hensen. 2021. “Calculating Solar Irradiance without Shading Geometry: A Point Cloud-based Method.” Journal of Building Performance Simulation 14 (5): 480–502. https://doi.org/10.1080/19401493.2021.1971765.
  • Bonomolo, M., S. Di Lisi, and G. Leone. 2021. “Building Information Modelling and Energy Simulation for Architecture Design.” Applied Sciences 11 (5): 2252. https://doi.org/10.3390/app11052252.
  • Bredella, N. 2019. “Simulation and Architecture: Mapping Building Information Modeling.” NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 27: 419–441. https://doi.org/10.1007/s00048-019-00224-9.
  • Brembilla, E., C. J. Hopfe, and J. Mardaljevic. 2018. “Influence of Input Reflectance Values on Climate-based Daylight Metrics Using Sensitivity Analysis.” Journal of Building Performance Simulation 11 (3): 333–349. https://doi.org/10.1080/19401493.2017.1364786.
  • Carlucci, F., R. C. G. M. Loonen, F. Fiorito, and J. L. M. Hensen. 2023. “A Novel Approach to Account for Shape-morphing and Kinetic Shading Systems in Building Energy Performance Simulations.” Journal of Building Performance Simulation 16: 346–365. https://doi.org/10.1080/19401493.2022.2142294.
  • Casini, M. 2016. Smart Buildings: Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance. Amsterdam: Woodhead Publishing.
  • Chan, Y.-C., and A. Tzempelikos. 2015. “Daylighting and Energy Analysis of Multi-Sectional Facades.” Energy Procedia 78: 189–194. https://doi.org/10.1016/j.egypro.2015.11.138.
  • Chi, D. A., D. Moreno, P. M. Esquivias, and J. Navarro. 2017. “Optimization Method for Perforated Solar Screen Design to Improve Daylighting Using Orthogonal Arrays and Climate-based Daylight Modelling.” Journal of Building Performance Simulation 10 (2): 144–160. https://doi.org/10.1080/19401493.2016.1197969.
  • da Silva, P. C., V. Leal, and M. Andersen. 2015. “Occupants’ Behaviour in Energy Simulation Tools: Lessons from a Field Monitoring Campaign Regarding Lighting and Shading Control.” Journal of Building Performance Simulation 8 (5): 338–358. https://doi.org/10.1080/19401493.2014.953583.
  • Daum, D., and N. Morel. 2010. “Assessing the Total Energy Impact of Manual and Optimized Blind Control in Combination with Different Lighting Schedules in a Building Simulation Environment.” Journal of Building Performance Simulation 3 (1): 1–16. https://doi.org/10.1080/19401490903362810.
  • Desideri, U., and F. Asdrubali. 2018. Handbook of Energy Efficiency in Buildings. Amsterdam: Butterworth-Heinemann.
  • de Vries, S. B., R. C. G. M. Loonen, and J. L. M. Hensen. 2021. “Simulation-aided Development of Automated Solar Shading Control Strategies Using Performance Mapping and Statistical Classification.” Journal of Building Performance Simulation 14 (6): 770–792. https://doi.org/10.1080/19401493.2021.1887355.
  • Do, C. T., and Y.-C. Chan. 2020. “Evaluation of the Effectiveness of a Multi-sectional Facade with Venetian Blinds and Roller Shades with Automated Shading Control Strategies.” Solar Energy 212: 241–257. https://doi.org/10.1016/j.solener.2020.11.003.
  • Hobson, B. W., B. Huchuk, H. B. Gunay, and W. O’Brien. 2021. “A Workflow for Evaluating Occupant-Centric Controls Using Building Simulation.” Journal of Building Performance Simulation 14 (6): 730–748. https://doi.org/10.1080/19401493.2021.1894485.
  • Hong, T., J. Langevin, and K. Sun. 2018. “Building Simulation: Ten Challenges.” Building Simulation 11: 871–898. https://doi.org/10.1007/s12273-018-0444-x.
  • Hopkinson, R. G., J. Longmore, and P. Petherbridge. 1954. “An Empirical Formula for the Computation of the Indirect Component of Daylight Factor.” Lighting Research and Technology 19: 201–219. https://doi.org/10.1177/147715355401900701.
  • Ishac, M., and W. Nadim. 2021. “Standardization of Optimization Methodology of Daylighting and Shading Strategy: A Case Study of an Architectural Design Studio – the German University in Cairo, Egypt.” Journal of Building Performance Simulation 14 (1): 52–77. https://doi.org/10.1080/19401493.2020.1846618.
  • ISO 15469:2004. Spatial distribution of daylight – CIE standard general sky.
  • Jones, N. L., and C. F. Reinhart. 2019. “Effects of Real-time Simulation Feedback on Design for Visual Comfort.” Journal of Building Performance Simulation 12 (3): 343–361. https://doi.org/10.1080/19401493.2018.1449889.
  • Katsanou, V. N., M. C. Alexiadis, and D. P. Labridis. 2019. “An ANN-based Model for the Prediction of Internal Lighting Conditions and User Actions in non-Residential Buildings.” Journal of Building Performance Simulation 12 (5): 700–718. https://doi.org/10.1080/19401493.2019.1610067.
  • Kent, M. G., S. Schiavon, and J. A. Jakubiec. 2020. “A Dimensionality Reduction Method to Select the Most Representative Daylight Illuminance Distributions.” Journal of Building Performance Simulation 13 (1): 122–135. https://doi.org/10.1080/19401493.2019.1711456.
  • Kim, Y. S., H. S. Shin, and C. S. Park. 2022. “Model Predictive Lighting Control for a Factory Building Using a Deep Deterministic Policy Gradient.” Journal of Building Performance Simulation 15 (2): 174–193. https://doi.org/10.1080/19401493.2021.2019310.
  • Laouadi, A., C. F. Reinhart, and D. Bourgeois. 2008. “Efficient Calculation of Daylight Coefficients for Rooms with Dissimilar Complex Fenestration Systems.” Journal of Building Performance Simulation 1 (1): 3–15. https://doi.org/10.1080/19401490701868299.
  • Liu, Y., A. Colburn, and M. Inanici. 2020. “Deep Neural Network Approach for Annual Luminance Simulations.” Journal of Building Performance Simulation 13 (5): 532–554. https://doi.org/10.1080/19401493.2020.1803404.
  • Loonen, R. C. G. M., F. Favoino, J. L. M. Hensen, and M. Overend. 2017. “Review of Current Status, Requirements and Opportunities for Building Performance Simulation of Adaptive Facades.” Journal of Building Performance Simulation 10 (2): 205–223. https://doi.org/10.1080/19401493.2016.1152303.
  • Luo, N., X. Luo, M. Mortezazadeh, M. Albettar, W. Zhang, D. Zhan, L. Wang, and T. Hong. 2022. “A Data Schema for Exchanging Information Between Urban Building Energy Models and Urban Microclimate Models in Coupled Simulations.” Journal of Building Performance Simulation, 1–18. https://doi.org/10.1080/19401493.2022.2142295.
  • Maestre, I., L. Pérez-Lombard, J. Foncubierta, and P. Cubillas. 2013. “Improving Direct Solar Shading Calculations within Building Energy Simulation Tools.” Journal of Building Performance Simulation 6 (6): 437–448. https://doi.org/10.1080/19401493.2012.745609.
  • Mahdavi, A. 2020. “In the Matter of Simulation and Buildings: Some Critical Reflections.” Journal of Building Performance Simulation 13 (1): 26–33. https://doi.org/10.1080/19401493.2019.1685598.
  • McNeil, A., and E. S. Lee. 2013. “A Validation of the Radiance Three-phase Simulation Method for Modelling Annual Daylight Performance of Optically Complex Fenestration Systems.” Journal of Building Performance Simulation 6 (1): 24–37. https://doi.org/10.1080/19401493.2012.671852.
  • Michael, P. R., D. E. Johnston, and W. Moreno. 2020. “A Conversion Guide: Solar Irradiance and lux Illuminance.” Journal of Measurements in Engineering 8: 153–166. https://doi.org/10.21595/jme.2020.21667.
  • Mishra, P. S., and R. Patnayaka. 2015. “Simulation in Architectural Research.” Creative Space 3 (1): 13–22. https://doi.org/10.15415/cs.2015.31002.
  • Molina, G., W. Bustamante, J. Rao, P. Fazio, and S. Vera. 2015. “Evaluation of Radiance's genBSDF Capability to Assess Solar Bidirectional Properties of Complex Fenestration Systems.” Journal of Building Performance Simulation 8: 216–225. https://doi.org/10.1080/19401493.2014.912355.
  • Nezamdoost, A., and K. Van Den Wymelenberg. 2017. “A Daylighting Field Study Using Human Feedback and Simulations to Test and Improve Recently Adopted Annual Daylight Performance Metrics.” Journal of Building Performance Simulation 10 (5-6): 471–483. https://doi.org/10.1080/19401493.2017.1334090.
  • Pierson, C., M. P. J. Aarts, and M. Andersen. 2023. “Validation of Spectral Simulation Tools in the Context of ipRGC-Influenced Light Responses of Building Occupants.” Journal of Building Performance Simulation 16 (2): 179–197. https://doi.org/10.1080/19401493.2022.2125582.
  • Pouyanmehr, M., P. Pilechiha, U. Berardi, and P. Carnemolla. 2022. “External Shading Form-finding: Simulating Daylighting and Dynamic View Access Assessment.” Journal of Building Performance Simulation 15 (3): 398–409. https://doi.org/10.1080/19401493.2022.2058089.
  • Quek, G., J. Wienold, M. S. Khanie, E. Erell, E. Kaftan, A. Tzempelikos, I. Konstantzos, J. Christoffersen, T. Kuhn, and M. Andersen. 2021. “Comparing Performance of Discomfort Glare Metrics in High and low Adaptation Levels.” Building and Environment 206: 108335. https://doi.org/10.1016/j.buildenv.2021.108335.
  • Rezaei, S. D., S. Shannigrahi, and S. Ramakrishna. 2017. “A Review of Conventional, Advanced, and Smart Glazing Technologies and Materials for Improving Indoor Environment.” Solar Energy Materials and Solar Cells 159: 26–51. https://doi.org/10.1016/j.solmat.2016.08.026.
  • Schregle, R., L. O. Grobe, and S. Wittkopf. 2016. “An out-of-Core Photon Mapping Approach to Daylight Coefficients.” Journal of Building Performance Simulation 9 (6): 620–632. https://doi.org/10.1080/19401493.2016.1177116.
  • Subramaniam, S. 2017. Daylighting Simulations with Radiance using Matrix-based Methods.
  • Sugihara, K., and J. Kikata. 2013. “Automatic Generation of 3D Building Models from Complicated Building Polygons.” Journal of Computing in Civil Engineering 27 (5): 476–488. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000192.
  • Vartholomaios, A. 2019. “A Machine Learning Approach to Modelling Solar Irradiation of Urban and Terrain 3D Models.” Computers, Environment and Urban Systems 78: 101387. https://doi.org/10.1016/j.compenvurbsys.2019.101387.
  • Vermeulen, T., C. Knopf-Lenoir, P. Villon, and B. Beckers. 2015. “Urban Layout Optimization Framework to Maximize Direct Solar Irradiation.” Computers, Environment and Urban Systems 51: 1–12. https://doi.org/10.1016/j.compenvurbsys.2015.01.001.
  • Ward, G. J., B. Bueno, D. Geisler-Moroder, L. O. Grobe, J. C. Jonsson, E. S. Lee, T. Wang, and H. R. Wilson. 2022. “Daylight Simulation Workflows Incorporating Measured Bidirectional Scattering Distribution Functions.” Energy and Buildings 259: 111890. https://doi.org/10.1016/j.enbuild.2022.111890.
  • Werner, M., D. Geisler-Moroder, B. Junghans, O. Ebert, and W. Feist. 2017. “DALEC – a Novel Web Tool for Integrated Day- and Artificial Light and Energy Calculation.” Journal of Building Performance Simulation 10 (3): 344–363. https://doi.org/10.1080/19401493.2016.1259352.
  • Wienold, J., and J. Christoffersen. 2006. “Evaluation Methods and Development of a New Glare Prediction Model for Daylight Environments with the use of CCD Cameras.” Energy and Buildings 38: 743–757. https://doi.org/10.1016/j.enbuild.2006.03.017.
  • Yao, J., D. H. C. Chow, R.-Y. Zheng, and C.-W. Yan. 2016. “Occupants’ Impact on Indoor Thermal Comfort: A Co-Simulation Study on Stochastic Control of Solar Shades.” Journal of Building Performance Simulation 9 (3): 272–287. https://doi.org/10.1080/19401493.2015.1046492.
  • Zakirullin, R. S. 2012. “Selective Beam Incidence Angle Control Over Directional Light Transmission.” Technical Physics 57: 1456–1458. https://doi.org/10.1134/S1063784212100234.
  • Zakirullin, R. S. 2013. “An Optical Filter with Angular Selectivity of the Transmittance.” Journal of Optical Technology 80: 480–485. https://doi.org/10.1364/JOT.80.000480.
  • Zakirullin, R. S. 2015. “Creating Optical Filters with Angular-Selective Light Transmission.” Applied Optics 54 (21): 6416–6419. https://doi.org/10.1364/AO.54.006416.
  • Zakirullin, R. S. 2018. “Optimized Angular Selective Filtering of Direct Solar Radiation.” Journal of the Optical Society of America A 35: 1592–1598. https://doi.org/10.1364/JOSAA.35.001592.
  • Zakirullin, R. S. 2019. “Optical Filter for Smart Windows with Angle-Selective Light Transmission.” Journal of Optical Technology 86: 278–283. https://doi.org/10.1364/JOT.86.000278.
  • Zakirullin, R. S. 2020a. “Diffraction in Grating Optical Filters with Angular-Selective Light Transmission.” Computer Optics 44: 343–351. https://doi.org/10.18287/2412-6179-CO-654.
  • Zakirullin, R. S. 2020b. “A Smart Window for Angular Selective Filtering of Direct Solar Radiation.” Journal of Solar Energy Engineering 142: 011001. https://doi.org/10.1115/1.4044059.
  • Zakirullin, R. S. 2020c. “Chromogenic Materials in Smart Windows for Angular-Selective Filtering of Solar Radiation.” Materials Today Energy 17: 100476. https://doi.org/10.1016/j.mtener.2020.100476.
  • Zakirullin, R. S. 2022a. “Smart Window with Grating Optical Filter: Comparison with Smart Windows Fully Coated with Chromogenic Layer.” Building and Environment 219: 109258. https://doi.org/10.1016/j.buildenv.2022.109258.
  • Zakirullin, R. S. 2022b. “Typology of Buildings with Grating Smart Windows with Azimuthally Optimized Light Transmission.” Journal of Architectural Engineering 28: 04022030. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000566.
  • Zhang, K., D. Blum, H. Cheng, G. Paliaga, M. Wetter, and J. Granderson. 2022. “Estimating ASHRAE Guideline 36 Energy Savings for Multi-Zone Variable air Volume Systems Using Spawn of EnergyPlus.” Journal of Building Performance Simulation 15 (2): 215–236. https://doi.org/10.1080/19401493.2021.2021286.
  • Zhu, J., W. Jahn, and G. Rein. 2019. “Computer Simulation of Sunlight Concentration Due to Façade Shape: Application to the 2013 Death Ray at Fenchurch Street, London.” Journal of Building Performance Simulation 12 (4): 378–387. https://doi.org/10.1080/19401493.2018.1538389.

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