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Uncertainty and Sensitivity Analyses of Switchable Slat Insulated Shades for Daylighting Performance based on Illuminance Thresholds and Objective Weights
Author(s):
1. Ali Ahmed Bahdad: Interior Design Department, College of Engineering, University of Prince Mugrin (UPM), Al Aqool, Medina, 42241, Saudi Arabia
Abstract:
To balanced multi-criteria's daylighting performance in indoor spaces, several dynamic metrics have been proposed, but so far there is no convention on which daylight metrics thresholds are preferred and which objective weights are given priority in optimization of daylighting under certain climate. This study explores uncertainty and sensitivity analyses to identify and prioritize the most influencing critical objective weights and appropriate useful daylighting illuminance (UDI) threshold for designing glazed system with Insulated Glazed Units that include Parallel Slat Transparent Insulation Materials (IGUs/PS-TIMs) for office buildings in sub-tropics areas for achieving best level of daylighting availability with enhanced thermal and visual comfort. To ascertain which objectives and threshold have significantly impact the optimized IGUs/PS-TIMs parameters, the study performed a framework of three statistical methods-based multi-objective optimization (MOO) of Objective's weights (OWs), Sensitivity analysis (SA) and uncertainty analysis (UA), were used. The framework comprises multi-optimization stages based on two main steps. In the first step, MOO based-multi statistical analysis was run for ranking UDI threshold control setpoint (UDI-TCS) and of critical objective weights (PC-OWs), meanwhile the second step, MOO based-optimal UDI-TCS and PC-OWs was run for final ranking solutions. The results showed that if considering the priority of PC-OWs in ranking final solutions based best UDI thresholds, the different schemes can be obtained, which is of great significance to the early design stage of buildings. Overall, the results showed that when considering PC-OWs in ranking final UDI thresholds, it can be clearly noticed that the UDI, ASE, and QV respectively, are the most PC-OWs, and UDI500-2000lux is the optimal threshold because it has significantly improved the UDI and ASE in all optimal cases compared to optimal cases resulted from UDI500-1000lux/50%. the total average percentage of UDI between 22.63% to 27.80%, meanwhile, the total average percentage of ASE improved between 2.14%. to 11.52%. For QV, the optimal cases result from UDI500-1000lux/50% threshold working better by slightly improving QV by 1.16% and 10.56%. Notwithstanding, these two pairs of UDI thresholds with given priority to UDI, ASE and QV as PC-OWs are suggested as the most appropriate conflicted objectives for optimizing daylight under sub-tropical climate conditions.
Page(s): 125-147
Published: Journal: Journal of Daylighting, Volume: 12, Issue: 1, Year: 2025
Keywords:
Multiobjective Optimization , Useful daylighting illuminance , Daylighting performance , Glazed system
References:
[1] Dabbagh M.,Krarti M. .2021 .Energy performance of switchable window insulated shades for US residential buildings. Journal of Building Engineering, 43 : 102584.
[2] D.M. Le D.Y.,Park J.,Baek P.,Karunyasopon S.,Chang S. .2022 ., Multi-criteria decision making for adaptive façade optimal design in varied climates: Energy, daylight, occupants' comfort, and outdoor view analysis. Building and Environment, 223 : 109479.
[3] Wang X.,Zhang L.,Su X.,Yang H. .2023 .Daylighting and energy performance of the window with transparent insulation slats in the humid subtropical climate zone. Energy and Buildings, 300 : 113685.
[4] Sun Y.,Liang R.,Wu Y.,Rutherford P. .2017 .Development of a comprehensive method to analyse glazing systems with Parallel Slat Transparent Insulation material (PS-TIM). Applied Energy, 205 : 951-963.
[5] Sun Y.,Wu Y.,Wilson R. .2017 .Analysis of the daylight performance of a glazing system with Parallel Slat Transparent Insulation Material (PS-TIM). Energy and Buildings, 139 : 616-633.
[6] Yu F.,Wennersten R.,Leng J. .2020 .A state-of-art review on concepts, criteria, methods and factors for reaching 'thermal-daylighting balance'. Building and Environment, 186 : 107330.
[7] Bahdad A.A.,Fadzil S. Syed,Taib N. .2020 .Evaluating kinetic light-shelves and their impacts on daylighting performance. Indonesian J Electr Eng Comp Sci, 19 : 482-490.
[8] Bahdad A.A.,Taib N.,Allahaim F.S.,Ajlan A.M. .2024 .Parametric Optimization Approach to Evaluate Dynamic Shading Within Double-Skin Insulated Glazed Units for Multi-Criteria Daylighting Performance in Tropics. Journal of Daylighting, 11 : 349-371.
[9] Bahdad A.A.S.,Fadzil S.F.S. .2022 .Design Optimization for Light-Shelves with Regard to Daylighting Performance Improvements in The Tropics. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 100 : 35-50.
[10] Salem Bahdad A.A.,Syed Fadzil S.F.,Onubi H.O.,S.A. H.O. .2022 .BenLasod, Balancing daylight in office spaces with respect to the indoor thermal environment through optimization of light shelves design parameters in the tropics. Indoor and Built Environment, 31 : 1963-1985.
[11] Moradikazerouni A.,Hajizadeh A.,Safaei M.R.,Afrand M.,Yarmand H.,Zulkifli N.W.B.M. .2019 .Assessment of thermal conductivity enhancement of nano-antifreeze containing single-walled carbon nanotubes: Optimal artificial neural network and curve-fitting, Physica A: Statistical Mechanics. its Applications, 521 : 138-145.
[12] Natanian J.,Aleksandrowicz O.,Auer T. .2019 .A parametric approach to optimizing urban form, energy balance and environmental quality: The case of Mediterranean districts. Applied Energy, 254 : 113637.
[13] Wang Y.,Wei C. .2021 .Design optimization of office building envelope based on quantum genetic algorithm for energy conservation. Journal of Building Engineering, 35 : 102048.
[14] Bahdad A.A.,Fadzil S.S. .2019 .Light-shelves technique (LST) for daylight enhancement using physical scaled model and simulation approaches. Tech. and Eng. Conf. (PIBEC7), : .
[15] Bahdad A.A.,Fadzil S.S.,Taib N. .2020 .Evaluating the effects of lightshelves to daylight distribution at south facing window using physical scaled-model method. International Journal of Sustainable Building Technology and Urban Development, 11 : 2-15.
[16] Bahdad A.A.S.,Fadzil S.F.S.,Taib N. .2020 .Optimization of daylight performance based on controllable light-shelf parameters using genetic algorithms in the tropical climate of Malaysia. Journal of Daylighting, 7 : 122-136.
[17] Jalali Z.,Heidari S. .2020 .Design and optimization of form and facade of an office building using the genetic algorithm. Science and Technology for the Built Environment, 26 : 128-140.
[18] Huo H.,Xu W.,Li A.,Chu J.,Lv Y. .2021 .Sensitivity analysis and prediction of shading effect of external Venetian blind for nearly zero-energy buildings in China. Journal of Building Engineering, 41 : 102401.
[19] Delgarm N.,Sajadi B.,Azarbad K.,Delgarm S. .2018 .Sensitivity analysis of building energy performance: A simulation-based approach using OFAT and variance-based sensitivity analysis methods. Journal of Building Engineering, 15 : 181-193.
[20] Nazari S.,P.K. MirzaMohammadi B.,Sajadi P.,Pilehchi Ha S.,Talatahari P.,Sareh P. .2023 .Designing energy-efficient and visually-thermally comfortable shading systems for office buildings in a cooling-dominant climate. Energy Reports, 10 : 3863-3881.
[21] Bakmohammadi P.,Noorzai E. .2020 .Optimization of the design of the primary school classrooms in terms of energy and daylight performance considering occupants' thermal and visual comfort. Energy Reports, 6 : 1590-1607.
[22] Wang B.,Sun L.,Shao Z.,He Y. .2024 ., Multi-objective optimization of a novel dynamic concentrated skin system considering daylight, building skin capacity, and visual space. Building and Environment, 256 : 111472.
[23] Fang Y.,Cho S. .2019 .Design optimization of building geometry and fenestration for daylighting and energy performance. Solar Energy, 191 : 7-18.
[24] Shi F.,You Y.,Yang X.,Hong X. .2024 .Annual evaluation of the visualthermal comfort and energy performance of thermotropic glazing in a reference office room of China, Building. , 254 : 111378.
[25] Singh R.,Lazarus I.J.,Kishore V.V.N. .2015 .Effect of internal woven roller shade and glazing on the energy. daylighting performances of an office [27] [29] [31] [33] [35] [37] building in the cold climate of Shillong, Applied Energy, 159 : 317-333.
[26] Fang J.,Zhao Y.,Tian Z.,Lin P. .2022 .Analysis of dynamic louver control with prism redirecting fenestrations for office daylighting optimization. Energy and Buildings, 262 : 112019.
[27] Sun Y.,Wu Y. .2021 .Numerical investigation of a smart window system with thermotropic Parallel Slat Transparent Insulation Material for building energy conservation and daylight autonomy. Building and Environment, 203 : 108048.
[28] Yang S.,Fiorito F.,Prasad D.,Sproul A.,Cannavale A. .2021 .A sensitivity analysis of design parameters of BIPV/T-DSF in relation to building energy and thermal comfort performances. Journal of Building Engineering, 41 : 102426.
[29] Yang Z.,Becerik-Gerber B. .2015 .A model calibration framework for simultaneous multi-level building energy simulation. Applied Energy, 149 : 415-431.
[30] A.-T. Nguyen S. Reiter .2015 .A performance comparison of sensitivity analysis methods for building energy models. Building Simulation, 8 : 651-664.
[31] Tian W. .2013 .A review of sensitivity analysis methods in building energy analysis. Renewable and Sustainable Energy Reviews, 20 : 411-419.
[32] Thomas .2009 .Application of sensitivity analysis in design of sustainable buildings. Renewable Energy, 34 : 2030-2036.
[33] Ioannou A.,C.M. Itard A. .2015 .Energy performance and comfort in residential buildings: Sensitivity for building parameters and occupancy. Energy and Buildings, 92 : 216-233.
[34] Bahdad A.A.S.,Fadzil S.F.S.,Onubi H.O.,S.A. BenLasod H.O. .2021 .Sensitivity analysis linked to multi-objective optimization for adjustments of lightshelves design parameters in response to visual comfort and thermal energy performance. Journal of Building Engineering, 44 : 102996.
[35] Nabil A.,Mardaljevic J. .2005 .Useful daylight illuminance: a new paradigm for assessing daylight in buildings. , 37 : 41-57.
[36] Li L.,Qu M.,Peng S. .2016 .Performance evaluation of building integrated solar thermal shading system: Building energy consumption and daylight provision. Energy and Buildings, 113 : 189-201.
[37] Shen H.,Tzempelikos A. .2012 .Daylighting and energy analysis of private offices with automated interior roller shades. Solar Energy, 86 : 681-704.
[38] Kızılörenli E.,Maden F. .2023 .Modular responsive facade proposals based on semi-regular and demi-regular tessellation: daylighting and visual comfort. Frontiers of Architectural Research, 12 : 601-612.
[39] Bugeat A.,Beckers B.,Fernández E. .2020 .Improving the daylighting performance of residential light wells by reflecting and redirecting approaches. Solar Energy, 207 : 1434-1444.
[40] C.F. Reinhart O.,Walkenhorst O. .2001 .Validation of dynamic RADIANCEbased daylight simulations for a test office with external blinds. Energy and Buildings, 33 : 683-697.
[41] Tabadkani A.,Banihashemi S.,Hosseini M.R. .2018 .Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis. Building Simulation, 11 : 663-676.
[42] Delgarm N.,Sajadi B.,S. B. .2016 .Delgarm, Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC), Energy. , 131 : 42-53.
[43] Khani A.,Khakzand M.,Faizi M. .2022 ., Multi-objective optimization for energy consumption, visual and thermal comfort performance of educational building (case study: Qeshm Island. Sustainable Energy Technologies and Assessments, 54 : 102872.
[44] .2020 .Seyedzadeh, Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency. Applied Energy, 261 : 114356.
[45] Ebrahimi-Moghadam A.,Ildarabadi P.,Aliakbari K.,Fadaee F. .2020 .Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings. Renewable Energy, 159 : 736-755.
[46] Xu Y.,Zhang G.,Wang G.,Jiang Y.,Zhao K. .2021 .A two-stage multi-objective optimization method for envelope and energy generation systems of primary and secondary school teaching buildings in China, Building. , 204 : 108142.
[47] Wang R.,Lu S.,Feng W. .2020 .Impact of adjustment strategies on building design process in different climates oriented by multiple performance. Applied Energy, 266 : 114822.
[48] Gagnon R.,Gosselin L.,Decker S. .2018 .Sensitivity analysis of energy performance and thermal comfort throughout building design process. Energy and Buildings, 164 : 278-294.
[49] Gou S.,Nik V.M.,Scartezzini J.-L.,Zhao Q.,Li Z. .2018 .Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand. Energy and Buildings, 169 : 484-506.
[50] Prataviera E.,Vivian J.,G. J.,Zarrella A. .2022 .Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis. Applied Energy, 311 : 118691.
[51] A.M. Qahtan A.A.S.,Bahdad N.,Al-Tamimi S.F.,Syed Fadzil .2024 .Optimizing daylighting in lecture halls within hot-arid climates through modification of glazing systems with light-shelves: A parametric design approach. Indoor and Built Environment, 33 : 929-956.
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