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Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review

Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1389930

Abstract

Kinetic facades provide numerous advantages, such as improving the energy efficiency in buildings, effective control of daylight and natural ventilation, and the assurance of human comfort within indoor spaces. Either in the process of designing or programming the active control systems for kinetic facades, addressing the complicated nature of indoor climate necessitates advanced models that aid in determining optimal operations. However, the status quo of multi-objective (MOO) optimization in kinetic facade performance remains largely unexplored. This study delves into the trends in MOO methods and their broad applications through a scientific mapping and quantitative review process. The goal is to investigate the kinetic facade designers' contributions to expanding the application of computational MOOs. The findings indicate that researchers focused on kinetic facades have played a limited role in extending the MOO applications. This review paper is significant as it explores a less-explored facet of knowledge related to building design optimization, aiming to inspire researchers to stay well-informed of evolving trends and integrate recent computational innovations into their kinetic facade designs.

References

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  • [2] Yekutiel, T. P., Grobman, Y. J., "Controlling Kinetic Cladding Components in Building Facades: A Case for Autonomous Movement", Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer Aided Architectural Design Research in Asia CAADRIA, (2014): 129–138, (2014).
  • [3] Takhmasib, M., Lee, H. J.,Yi, H., "Machine-Learned Kinetic Façade: Construction and Artificial Intelligence Enabled Predictive Control for Visual Comfort", Automation in Construction, 156, (2023).
  • [4] Talaei, M., Mahdavinejad, M., Azari, R., Haghighi, H. M., Atashdast, A., "Thermal and Energy Performance of a User-Responsive Microalgae Bioreactive Façade for Climate Adaptability", Sustainable Energy Technologies and Assessments, 52, (2022).
  • [5] Karakoc, E., Cagdas, G., "Adaptive Architecture Based on Environmental Performance: An Advanced Intelligent Façade (Aif) Module", Gazi University Journal of Science, 34(3): 630-650, (2021).
  • [6] Xu, Y., Zhang, G., Yan, C., Wang, G., Jiang, Y., Zhao, K., "A Two-Stage Multi-Objective Optimization Method for Envelope and Energy Generation Systems of Primary and Secondary School Teaching Buildings in China", Building and Environment, 204, (2021).
  • [7] Zhai, Y., Wang, Y., Huang, Y., Meng, X., "A Multi-Objective Optimization Methodology for Window Design Considering Energy Consumption, Thermal Environment and Visual Performance", Renewable Energy, 134: 1190-1199, (2019).
  • [8] Jang, D.-J., Kim, S.-A., "A Biomimetic Approach for the Multi-Objective Optimization of Kinetic Façade Design", International Journal of Architectural and Environmental Engineering, 11(10): 1481-1487, (2018).
  • [9] Yufka, M., Ekici, B., Cubukcuoglu, C., Chatzikonstantinou, I., Sariyildiz, I. S., "Multi-Objective Skylight Optimization for a Healthcare Facility Foyer Space", 2017 IEEE Congress on Evolutionary Computation (CEC), 1008-1014, (2017).
  • [10] Favoino, F., Overend, M., Jin, Q., "The Optimal Thermo-Optical Properties and Energy Saving Potential of Adaptive Glazing Technologies", Applied Energy, 156: 1-15, (2015).
  • [11] Favoino, F., Jin, Q., Overend, M.,"Towards an Ideal Adaptive Glazed Façade for Office Buildings", Energy Procedia, 62: 289-298, (2014).
  • [12] Nagy, Z., Svetozarevic, B., Jayathissa, P., Begle, M., Hofer, J., Lydon, G., Willmann, A., Schlueter, A., "The Adaptive Solar Facade: From Concept to Prototypes", Frontiers of Architectural Research, 5(2): 143-156, (2016).
  • [13] Jayathissa, P., Jansen, M., Heeren, N., Nagy, Z., Schlueter, A., "Life Cycle Assessment of Dynamic Building Integrated Photovoltaics", Solar Energy Materials and Solar Cells, 156: 75-82, (2016).
  • [14] Jayathissa, P., Luzzatto, M., Schmidli, J., Hofer, J., Nagy, Z., Schlueter, A., "Optimising Building Net Energy Demand with Dynamic Bipv Shading", Applied Energy, 202: 726-735, (2017).
  • [15] Jayathissa, P., Caranovic, S., Hofer, J., Nagy, Z., Schlueter, A., "Performative Design Environment for Kinetic Photovoltaic Architecture", Automation in Construction, 93: 339-347, (2018).
  • [16] Giovannini, L., Serra, V., Lo Verso, V. R. M., Pellegrino, A., Zinzi, M.,Favoino, F., "A Novel Methodology to Optimize Visual Comfort and Energy Performance for Transparent Adaptive Façades", 2018 IEEE International Conference on Environment and Electrical Engineering, (2018).
  • [17] Marler, R. T., Arora, J. S., "Survey of Multi-Objective Optimization Methods for Engineering", Structural and Multidisciplinary Optimization, 26(6): 369-395, (2004).
  • [18] Mohanty, R., Suman, S., Das, S. K., in Handbook of Neural Computation, P. Samui, S. Sekhar, and V. E. Balas Eds.: Academic Press, 295-309, (2017).
  • [19] Talbi, E. G., Metaheuristics: From Design to Implementation (Metaheuristics: From Design to Implementation), (2009).
  • [20] Chen, Q. H., Wen, C. Y., "Optimal Resource Allocation Using Genetic Algorithm in Container-Based Heterogeneous Cloud", IEEE Access, 12: 7413-7429, (2024).
  • [21] Zhan, J., He, W., Huang, J., "Comfort, Carbon Emissions, and Cost of Building Envelope and Photovoltaic Arrangement Optimization through a Two-Stage Model", Applied Energy, 356: 122423, (2024).
  • [22] Orozco, L., Wagner, H. J., Krtschil, A., Knippers, J., Menges, A., "Computational Segmentation of Timber Slabs with Free Column Placement", Computer-Aided Design, 168: 103650, (2024).
  • [23] Ji, Y., Lv, J., Li, H. X., Liu, Y., Yao, F., Liu, X., Wang, S., "Improving the Performance of Prefabricated Houses through Multi-Objective Optimization Design", Journal of Building Engineering, 84: 108579, (2024).
  • [24] Martinez, N. A., "Solving the Black Box: Inverse Approach for Ideal Building Dynamic Behaviour Using Multi-Objective Optimization with Energyplus", (2014).
  • [25] Jin, Q., Favoino, F., Overend, M.,"The Potential Opaque Adaptive Façades for Office Buildings in a Temperate Climate", Proceedings of building Simulation 2015 Conference: 98-105, (2015).
  • [26] Kasinalis, C., Loonen, R. C. G. M., Cóstola, D.,Hensen, J. L. M., "Framework for Assessing the Performance Potential of Seasonally Adaptable Facades Using Multi-Objective Optimization", Energy and Buildings, 79: 106-113, (2014).
  • [27] Catto Lucchino, E., Goia, F., "Multi-Domain Model-Based Control of an Adaptive Façade Based on a Flexible Double Skin System", Energy and Buildings, 285, (2023).
  • [28] Kim, H., Clayton, M. J., "A Multi-Objective Optimization Approach for Climate-Adaptive Building Envelope Design Using Parametric Behavior Maps", Building and Environment, 185, (2020).
  • [29] Valitabar, M., Mahdavinejad, M., Skates, H., Pilechiha, P., "A Dynamic Vertical Shading Optimisation to Improve View, Visual Comfort and Operational Energy", Open House International, 46(3): 401-415, (2021).
  • [30] Tabadkani, A., Nikkhah Dehnavi, A., Mostafavi, F., Naeini, H. G., "Targeting Modular Adaptive Façade Personalization in a Shared Office Space Using Fuzzy Logic and Genetic Optimization", Journal of Building Engineering, 69, (2023).
  • [31] Biloria, N., Makki, M., Abdollahzadeh, N., "Multi-Performative Façade Systems: The Case of Real-Time Adaptive Bipv Shading Systems to Enhance Energy Generation Potential and Visual Comfort", Frontiers in Built Environment, 9, (2023).
  • [32] Besbas, S., Nocera, F., Zemmouri, N., Khadraoui, M. A., Besbas, A., "Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria", Sustainability, 14(19), (2022).
  • [33] Van Eck, N., Waltman, L., "Software Survey: Vosviewer, a Computer Program for Bibliometric Mapping", Scientometrics, 84(2): 523-538, (2010).
  • [34] Van Eck, N. J.,Waltman, L., "Vosviewer Manual", Leiden: Univeristeit Leiden, 1(1): 1-53, (2013).
  • [35] Nalimov, V. V. E., Mulchenko, Z. M., "Measurement of Science. Study of the Development of Science as an Information Process", (1971).
  • [36] Börner, K., Chen, C., Boyack, K. W., "Visualizing Knowledge Domains", Annual Review of Information Science and Technology, 37(1): 179-255, (2003).
  • [37] Leydesdorff, L., Milojević, S., "Scientometrics", arXiv:1208.4566, (2012).
Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1389930

Abstract

References

  • [1] Kensek, K., Hansanuwat, R., "Environment Control Systems for Sustainable Design: A Methodology for Testing, Simulating and Comparing Kinetic Facade Systems", Journal of Creative Sustainable Architecture & Built Environment, 1(11): 27, (2011).
  • [2] Yekutiel, T. P., Grobman, Y. J., "Controlling Kinetic Cladding Components in Building Facades: A Case for Autonomous Movement", Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer Aided Architectural Design Research in Asia CAADRIA, (2014): 129–138, (2014).
  • [3] Takhmasib, M., Lee, H. J.,Yi, H., "Machine-Learned Kinetic Façade: Construction and Artificial Intelligence Enabled Predictive Control for Visual Comfort", Automation in Construction, 156, (2023).
  • [4] Talaei, M., Mahdavinejad, M., Azari, R., Haghighi, H. M., Atashdast, A., "Thermal and Energy Performance of a User-Responsive Microalgae Bioreactive Façade for Climate Adaptability", Sustainable Energy Technologies and Assessments, 52, (2022).
  • [5] Karakoc, E., Cagdas, G., "Adaptive Architecture Based on Environmental Performance: An Advanced Intelligent Façade (Aif) Module", Gazi University Journal of Science, 34(3): 630-650, (2021).
  • [6] Xu, Y., Zhang, G., Yan, C., Wang, G., Jiang, Y., Zhao, K., "A Two-Stage Multi-Objective Optimization Method for Envelope and Energy Generation Systems of Primary and Secondary School Teaching Buildings in China", Building and Environment, 204, (2021).
  • [7] Zhai, Y., Wang, Y., Huang, Y., Meng, X., "A Multi-Objective Optimization Methodology for Window Design Considering Energy Consumption, Thermal Environment and Visual Performance", Renewable Energy, 134: 1190-1199, (2019).
  • [8] Jang, D.-J., Kim, S.-A., "A Biomimetic Approach for the Multi-Objective Optimization of Kinetic Façade Design", International Journal of Architectural and Environmental Engineering, 11(10): 1481-1487, (2018).
  • [9] Yufka, M., Ekici, B., Cubukcuoglu, C., Chatzikonstantinou, I., Sariyildiz, I. S., "Multi-Objective Skylight Optimization for a Healthcare Facility Foyer Space", 2017 IEEE Congress on Evolutionary Computation (CEC), 1008-1014, (2017).
  • [10] Favoino, F., Overend, M., Jin, Q., "The Optimal Thermo-Optical Properties and Energy Saving Potential of Adaptive Glazing Technologies", Applied Energy, 156: 1-15, (2015).
  • [11] Favoino, F., Jin, Q., Overend, M.,"Towards an Ideal Adaptive Glazed Façade for Office Buildings", Energy Procedia, 62: 289-298, (2014).
  • [12] Nagy, Z., Svetozarevic, B., Jayathissa, P., Begle, M., Hofer, J., Lydon, G., Willmann, A., Schlueter, A., "The Adaptive Solar Facade: From Concept to Prototypes", Frontiers of Architectural Research, 5(2): 143-156, (2016).
  • [13] Jayathissa, P., Jansen, M., Heeren, N., Nagy, Z., Schlueter, A., "Life Cycle Assessment of Dynamic Building Integrated Photovoltaics", Solar Energy Materials and Solar Cells, 156: 75-82, (2016).
  • [14] Jayathissa, P., Luzzatto, M., Schmidli, J., Hofer, J., Nagy, Z., Schlueter, A., "Optimising Building Net Energy Demand with Dynamic Bipv Shading", Applied Energy, 202: 726-735, (2017).
  • [15] Jayathissa, P., Caranovic, S., Hofer, J., Nagy, Z., Schlueter, A., "Performative Design Environment for Kinetic Photovoltaic Architecture", Automation in Construction, 93: 339-347, (2018).
  • [16] Giovannini, L., Serra, V., Lo Verso, V. R. M., Pellegrino, A., Zinzi, M.,Favoino, F., "A Novel Methodology to Optimize Visual Comfort and Energy Performance for Transparent Adaptive Façades", 2018 IEEE International Conference on Environment and Electrical Engineering, (2018).
  • [17] Marler, R. T., Arora, J. S., "Survey of Multi-Objective Optimization Methods for Engineering", Structural and Multidisciplinary Optimization, 26(6): 369-395, (2004).
  • [18] Mohanty, R., Suman, S., Das, S. K., in Handbook of Neural Computation, P. Samui, S. Sekhar, and V. E. Balas Eds.: Academic Press, 295-309, (2017).
  • [19] Talbi, E. G., Metaheuristics: From Design to Implementation (Metaheuristics: From Design to Implementation), (2009).
  • [20] Chen, Q. H., Wen, C. Y., "Optimal Resource Allocation Using Genetic Algorithm in Container-Based Heterogeneous Cloud", IEEE Access, 12: 7413-7429, (2024).
  • [21] Zhan, J., He, W., Huang, J., "Comfort, Carbon Emissions, and Cost of Building Envelope and Photovoltaic Arrangement Optimization through a Two-Stage Model", Applied Energy, 356: 122423, (2024).
  • [22] Orozco, L., Wagner, H. J., Krtschil, A., Knippers, J., Menges, A., "Computational Segmentation of Timber Slabs with Free Column Placement", Computer-Aided Design, 168: 103650, (2024).
  • [23] Ji, Y., Lv, J., Li, H. X., Liu, Y., Yao, F., Liu, X., Wang, S., "Improving the Performance of Prefabricated Houses through Multi-Objective Optimization Design", Journal of Building Engineering, 84: 108579, (2024).
  • [24] Martinez, N. A., "Solving the Black Box: Inverse Approach for Ideal Building Dynamic Behaviour Using Multi-Objective Optimization with Energyplus", (2014).
  • [25] Jin, Q., Favoino, F., Overend, M.,"The Potential Opaque Adaptive Façades for Office Buildings in a Temperate Climate", Proceedings of building Simulation 2015 Conference: 98-105, (2015).
  • [26] Kasinalis, C., Loonen, R. C. G. M., Cóstola, D.,Hensen, J. L. M., "Framework for Assessing the Performance Potential of Seasonally Adaptable Facades Using Multi-Objective Optimization", Energy and Buildings, 79: 106-113, (2014).
  • [27] Catto Lucchino, E., Goia, F., "Multi-Domain Model-Based Control of an Adaptive Façade Based on a Flexible Double Skin System", Energy and Buildings, 285, (2023).
  • [28] Kim, H., Clayton, M. J., "A Multi-Objective Optimization Approach for Climate-Adaptive Building Envelope Design Using Parametric Behavior Maps", Building and Environment, 185, (2020).
  • [29] Valitabar, M., Mahdavinejad, M., Skates, H., Pilechiha, P., "A Dynamic Vertical Shading Optimisation to Improve View, Visual Comfort and Operational Energy", Open House International, 46(3): 401-415, (2021).
  • [30] Tabadkani, A., Nikkhah Dehnavi, A., Mostafavi, F., Naeini, H. G., "Targeting Modular Adaptive Façade Personalization in a Shared Office Space Using Fuzzy Logic and Genetic Optimization", Journal of Building Engineering, 69, (2023).
  • [31] Biloria, N., Makki, M., Abdollahzadeh, N., "Multi-Performative Façade Systems: The Case of Real-Time Adaptive Bipv Shading Systems to Enhance Energy Generation Potential and Visual Comfort", Frontiers in Built Environment, 9, (2023).
  • [32] Besbas, S., Nocera, F., Zemmouri, N., Khadraoui, M. A., Besbas, A., "Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria", Sustainability, 14(19), (2022).
  • [33] Van Eck, N., Waltman, L., "Software Survey: Vosviewer, a Computer Program for Bibliometric Mapping", Scientometrics, 84(2): 523-538, (2010).
  • [34] Van Eck, N. J.,Waltman, L., "Vosviewer Manual", Leiden: Univeristeit Leiden, 1(1): 1-53, (2013).
  • [35] Nalimov, V. V. E., Mulchenko, Z. M., "Measurement of Science. Study of the Development of Science as an Information Process", (1971).
  • [36] Börner, K., Chen, C., Boyack, K. W., "Visualizing Knowledge Domains", Annual Review of Information Science and Technology, 37(1): 179-255, (2003).
  • [37] Leydesdorff, L., Milojević, S., "Scientometrics", arXiv:1208.4566, (2012).
There are 37 citations in total.

Details

Primary Language English
Subjects Architectural Science and Technology
Journal Section Review Article
Authors

Jaleh Sadeghı 0000-0002-7483-1398

Feray Maden 0000-0003-2936-3879

Early Pub Date June 12, 2024
Publication Date
Submission Date November 13, 2023
Acceptance Date April 5, 2024
Published in Issue Year 2025 Early View

Cite

APA Sadeghı, J., & Maden, F. (2024). Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review. Gazi University Journal of Science1-1. https://doi.org/10.35378/gujs.1389930
AMA Sadeghı J, Maden F. Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review. Gazi University Journal of Science. Published online June 1, 2024:1-1. doi:10.35378/gujs.1389930
Chicago Sadeghı, Jaleh, and Feray Maden. “Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review”. Gazi University Journal of Science, June (June 2024), 1-1. https://doi.org/10.35378/gujs.1389930.
EndNote Sadeghı J, Maden F (June 1, 2024) Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review. Gazi University Journal of Science 1–1.
IEEE J. Sadeghı and F. Maden, “Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review”, Gazi University Journal of Science, pp. 1–1, June 2024, doi: 10.35378/gujs.1389930.
ISNAD Sadeghı, Jaleh - Maden, Feray. “Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review”. Gazi University Journal of Science. June 2024. 1-1. https://doi.org/10.35378/gujs.1389930.
JAMA Sadeghı J, Maden F. Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review. Gazi University Journal of Science. 2024;:1–1.
MLA Sadeghı, Jaleh and Feray Maden. “Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review”. Gazi University Journal of Science, 2024, pp. 1-1, doi:10.35378/gujs.1389930.
Vancouver Sadeghı J, Maden F. Status Quo of Multi-Objective Design Optimization of Kinetic Facades: A Quantitative Review. Gazi University Journal of Science. 2024:1-.