Building Performance Optimization throughout the Design–Decision Process with a Holistic Approach
Publication: Journal of Architectural Engineering
Volume 29, Issue 1
Abstract
Building performance optimization throughout the design–decision process has not been well defined, especially in holistic approaches that require multilevel integration. For this, it is essential to ensure coexistence between different analysis programs such as three-dimensional (3D), energy, and computational fluid dynamics (CFD) models that can be applied on a single platform such as building information modeling (BIM). This research aims, first, to define and document a holistic design approach to building performance optimization concerning energy usage by employing the BIM platform and, second, to underline interoperability and data exchange between current technology and commercially available software from different vendors. Therefore, the novelty of this study is to serve a systematic, multiobjective, and multicriterion optimization of building performance with a holistic approach in the BIM platform. The holistic design approach is for a multidisciplinary design process including three stages (conceptual, schematic, and detailed) that cover different optimization criteria (building envelope design, occupants’ comfort conditions, and building’ energy consumption). The proposed method aims to generate, evaluate, develop, and utilize a 3D model during the different design stages concerning the model’s level of details and included information, which underlines the usage of 3D model-related software and sharing data among the design stages. A BIM-based method is developed through the case study of a hypothetical, two-story building (domestic dwelling) by identifying the activities of each design stage. With the implementation of the proposed method, the result shows a predicted energy saving of up to 75%, with a detailed energy analysis placing the building energy performance in the “A” class (annual energy consumption 17,865 kW · h). At last, based on the authors’ experience during the study, it is time- and effort-saving to have interoperability between BIM tools.
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References
Al-Saggaf, A., H. Nasir, and M. Taha. 2020. “Quantitative approach for evaluating the building design features impact on cooling energy consumption in hot climates.” Energy Build. 211: 109802. https://doi.org/10.1016/j.enbuild.2020.109802.
Andersson, B., R. Andersson, L. Håkansson, M. Mortensen, R. Sudiyo, and B. van Wachem. 2011. “Best practice guidelines.” In Computational fluid dynamics for engineers, 174–180. Cambridge: Cambridge University Press.
ANSI/ASHRAE/IES. 2010. ANSI/ASHRAE/IESNA 90.1-2010: Energy Standard for Buildings Except Low-Rise Residential Buildings. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
ASHRAE GreenGuide. 2013. “Design, construction, and operation of sustainable buildings.” In The ASHRAE GreenGuide. 4th ed. W. S. Comstock, 519–545. Atlanta, GA: ASHRAE.
Asl, M. R., S. Zarrinmehr, and W. Yan. 2013. “Towards BIM-based parametric building energy performance optimization.” In Proc., 33rd Annual Conf. of the Association for Computer Aided Design in Architecture, 101–108. Toronto: Riverside Architectural Press.
Attia, S., E. Gratia, A. de Herde, and J. L. M. Hensen. 2012. “Simulation-based decision support tool for early stages of zero-energy building design.” Energy Build. 49: 2–15. https://doi.org/10.1016/j.enbuild.2012.01.028.
Attia, S., M. Hamdy, W. O’Brien, and S. Carlucci. 2013. “Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design.” Energy Build. 60: 110–124. https://doi.org/10.1016/j.enbuild.2013.01.016.
Autodesk Green Building Studio. 2013. “Building performance analysis.” Autodesk Inc. https://gbs.autodesk.com/GBS/Weather?ProjectID=1j6gSgWP6Tk%3D.
Autodesk. n.d.-a. “Autodesk CFD | CFD software | autodesk.” Accessed April 4, 2019. https://www.autodesk.com/products/cfd/overview
Autodesk. n.d.-b. “Dynamo BIM.” Accessed April 3, 2019. https://dynamobim.org/
Autodesk. n.d.-c. “Project fractal.” Accessed April 3, 2019. https://home.fractal.live/
Autodesk. n.d.-d. “Revit | BIM software | autodesk.” Accessed April 3, 2019. https://www.autodesk.com/products/revit/overview
Bandara, P., R. Attalage, and W. C. D. K. Fernando. 2015. “Making realistic predictions on building energy performance through coupled energy simulation and computational fluid dynamics.” In National Energy Symp, 124. Colombo, Sri Lanka: Sri Lanka Sustainable Energy Authority Ministry of Power and Renewable Energy.
Binalarda Enerji Performansi Ulusal Hesaplama. 2010. T. C. Resmi Gazete (27778, 7 Aralık 2010). In Official Gazette of the Republic of Turkey. http://www.resmigazete.gov.tr/eskiler/2010/12/20101207M1-1.htm.
Chen, D., and H. W. Chen. 2013. “Using the Köppen classification to quantify climate variation and change: An example for 1901–2010.” Environ. Dev. 6 (1): 69–79. https://doi.org/10.1016/J.ENVDEV.2013.03.007.
Chen, X., J. Huang, H. Yang, and J. Peng. 2019. “Approaching low-energy high-rise building by integrating passive architectural design with photovoltaic application.” J. Cleaner Prod. 220: 313–330. https://doi.org/10.1016/j.jclepro.2019.02.137.
Chen, X., and H. Yang. 2018. “Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China.” Appl. Energy 215: 145–158. https://doi.org/10.1016/j.apenergy.2018.01.099.
Chen, X., H. Yang, and K. Sun. 2016. “A holistic passive design approach to optimize indoor environmental quality of a typical residential building in Hong Kong.” Energy 113: 267–281. https://doi.org/10.1016/j.energy.2016.07.058.
Chen, X., H. Yang, and W. Zhang. 2018. “Simulation-based approach to optimize passively designed buildings: A case study on a typical architectural form in hot and humid climates.” Renew. Sustain. Energy Rev. 82: 1712–1725. https://doi.org/10.1016/j.rser.2017.06.018.
Congedo, P. M., C. Baglivo, A. K. Seyhan, and R. Marchetti. 2021. “Worldwide dynamic predictive analysis of building performance under long-term climate change conditions.” J. Build. Eng. 42: 103057. https://doi.org/10.1016/J.JOBE.2021.103057.
Cummings, J. n.d. “Design process.” AIA: A collaborative design group design process. Accessed January 21, 2019. http://www.jamescummingsaia.com/jcaia-design%20phases.pdf
de La Flor, F. J. S., R. Ortiz Cebolla, J. Luis Molina Félix, and S. Álvarez Domínguez. 2005. “Solar radiation calculation methodology for building exterior surfaces.” Sol. Energy 79 (5): 513–522. https://doi.org/10.1016/j.solener.2004.12.007.
Eastman, C., P. Teicholz, R. Sacks, and K. Liston. 2011. “Interoperability.” In BIM handbook: A guide to building information modeling for owners, managers, architects, engineers and contractors. 2nd ed., 99–148. Hoboken, NJ: Wiley.
eQUEST. n.d. “the QUick Energy Simulation Tool.” Accessed April 4, 2019. http://www.doe2.com/equest/.
Flager, F., B. Welle, P. Bansal, G. Soremekun, and J. Haymaker. 2009. “Multidisciplinary process integration and design optimization of a classroom building.” Electron. J. Inf. Technol. Construct. 14 (38): 595–612.
Franke, J., C. Hirsch, A. G. Jensen, H. W. Krüs, M. Schatzmann, P. S. Westbury, S. D. Miles, J. A. Wisse, and N. G. Wright. 2004. “Recommendations on the use of CFD in wind engineering.” Accessed November 25, 2018. https://www.researchgate.net/publication/251814717_Recommendations_on_the_use_of_CFD_in_wind_engineering.
Gourlis, G., and I. Kovacic. 2017. “Building information modelling for analysis of energy efficient industrial buildings—A case study.” Renew. Sustain. Energy Rev. 68: 953–963. https://doi.org/10.1016/j.rser.2016.02.009.
Gul, M. S., and S. Patidar. 2015. “Understanding the energy consumption and occupancy of a multi-purpose academic building.” Energy Build. 87: 155–165. https://doi.org/10.1016/j.enbuild.2014.11.027.
Habibi, S. 2017. “The promise of BIM for improving building performance.” Energy Build. 153: 525–548. https://doi.org/10.1016/j.enbuild.2017.08.009.
Jalaei, F., and A. Jrade. 2014. “Integrating BIM with green building certification system, energy analysis, and cost estimating tools to conceptually design sustainable buildings.” J. Inf. Technol. Constr. (ITcon) 19: 140–149. https://doi.org/10.1061/9780784413517.015.
Jin, R., B. Zhong, L. Ma, A. Hashemi, and L. Ding. 2019. “Integrating BIM with building performance analysis in project lifecycle.” Autom. Constr. 106: 102861. https://doi.org/10.1016/j.autcon.2019.102861.
Kalay, Y. E. 1999. “Performance-based design.” Autom. Constr. 8 (4): 395–409. https://doi.org/https://doi.org/10.1016/S0926-5805(98)00086-7.
Lan, L., K. L. Wood, and C. Yuen. 2019. “A holistic design approach for residential net-zero energy buildings: A case study in Singapore.” Sustainable Cities Soc. 50: 101672. https://doi.org/10.1016/j.scs.2019.101672.
Machairas, V., A. Tsangrassoulis, and K. Axarli. 2014. “Algorithms for optimization of building design: A review.” Renew. Sustain. Energy Rev. 31 (1364): 101–112. https://doi.org/10.1016/j.rser.2013.11.036.
Mardaljevic, J., M. Andersen, N. Roy, and J. Christoffersen. 2012. “Daylighting metrics: Is there a relation between useful daylight illuminance and daylight glare probability?” In Proc., Building Simulation and Optimization Conf., 189–196. https://doi.org/10.1002/anie.200804739.
Meteoroloji Genel Müdürlüğü. 2022. Resmi İstatistikler. T.C. Tarim Ve Orman Bakanliği; T.C. Tarim Ve Orman Bakanliği Meteoroloji Genel Müdürlüğü. Ankara, Türkiye. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=H&m=NIGDE.
Mutlu, M., Ö. Kaynakli, and M. Kılıç. 2011. “Energy labeling of electrical household appliances.” In National Air Conditioning Congress. Antalya, Turkey: The Union of Chambers of Turkish Engineers and Architects (UCTEA) Press.
Nguyen, A. T., S. Reiter, and P. Rigo. 2014. “A review on simulation-based optimization methods applied to building performance analysis.” Appl. Energy 113: 1043–1058. https://doi.org/10.1016/j.apenergy.2013.08.061.
O’Donnell, J., M. Keane, E. Morrissey, and V. Bazjanac. 2013. “Scenario modelling: A holistic environmental and energy management method for building operation optimisation.” Energy Build. 62: 146–157. https://doi.org/10.1016/j.enbuild.2012.10.060.
Østergård, T., R. L. Jensen, and S. E. Maagaard. 2016. “Building simulations supporting decision making in early design—A review.” Renew. Sustain. Energy Rev. 61: 187–201. https://doi.org/10.1016/j.rser.2016.03.045.
Panteli, C., A. Kylili, L. Stasiuliene, L. Seduikyte, and P. A. Fokaides. 2018. “A framework for building overhang design using building information modeling and life cycle assessment.” J. Build. Eng. 20: 248–255. https://doi.org/10.1016/j.jobe.2018.07.022.
Petersen, S., and S. Svendsen. 2010. “Method and simulation program informed decisions in the early stages of building design.” Energy Build. 42 (7): 1113–1119. https://doi.org/10.1016/j.enbuild.2010.02.002.
Petri, I., S. Kubicki, Y. Rezgui, A. Guerriero, and H. Li. 2017. “Optimizing energy efficiency in operating built environment assets through building information modeling: A case study.” Energies 10 (8): 1–17. https://doi.org/10.3390/en10081167.
Rahmani Asl, M., S. Zarrinmehr, M. Bergin, and W. Yan. 2015. “BPOpt: A framework for BIM-based performance optimization.” Energy Build. 108: 401–412. https://doi.org/10.1016/j.enbuild.2015.09.011.
Sgambelluri, M. 2014. Autodesk university–Practically dynamo: Practical uses for dynamo within revit, 5–10. San Francisco: Autodesk Univ.
Shi, X., and W. Yang. 2013. “Performance-driven architectural design and optimization technique from a perspective of architects.” Autom. Constr. 32: 125–135. https://doi.org/10.1016/j.autcon.2013.01.015.
Soe, T. M., and S. Y. Khaing. 2017. “Comparison of turbulence models for computational fluid dynamics simulation of wind flow on cluster of buildings in Mandalay.” Int. J. Sci. Res. Publ. 7 (8): 337–350.
Srebric, J., and Q. Chen. 2002. “A procedure for verification, validation, and reporting of indoor environment CFD analyses.” HVAC&R Res. 8 (2): 201–216. https://doi.org/10.1080/10789669.2002.10391437.
Stegnar, G., and T. Cerovšek. 2019. “Information needs for progressive BIM methodology supporting the holistic energy renovation of office buildings.” Energy 173: 317–331. https://doi.org/10.1016/j.energy.2019.02.087.
Stine, D. 2017. “Dynamic energy optimization with revit® and insight 360.” In Proc., The Minnesota Conference on Architecture, 1–52. Minneapolis, MN: Minneapolis Convention Centre.
Touloupaki, E., and T. Theodosiou. 2017. “Energy performance optimization as a generative design tool for nearly zero energy buildings.” Procedia Eng. 180: 1178–1185. https://doi.org/10.1016/j.proeng.2017.04.278.
TS (Turkish Standard). 2014. “Thermal insulation requirements for buildings.” “TS 825-Thermal insulation requirements for buildings.” In Turkish Standards Institute (TSE). Ankara, Turkey.
Utkucu, D., and H. Sözer. 2020. “An evaluation process for natural ventilation using a scenario-based multi-criteria and multi-interaction analysis.” Energy Rep. 6: 644–661. https://doi.org/10.1016/j.egyr.2020.02.001.
Walasek, D., and A. Barszcz. 2017. “Analysis of the adoption rate of building information modeling [BIM] and its return on investment [ROI].” Procedia Eng. 172: 1227–1234. https://doi.org/10.1016/j.proeng.2017.02.144.
Weerasuriya, A. U., X. Zhang, V. J. L. Gan, and Y. Tan. 2019. “A holistic framework to utilize natural ventilation to optimize energy performance of residential high-rise buildings.” Build. Environ. 153: 218–232. https://doi.org/10.1016/j.buildenv.2019.02.027.
Yang, C., and J. H. Choi. 2015. “Energy Use intensity estimation method based on façade features.” Procedia Eng. 118: 842–852. https://doi.org/10.1016/j.proeng.2015.08.522.
Yang, D., Y. Sun, M. Turrin, P. von Buelow, and J. Paul. 2015. “Multiobjective and multidisciplinary design optimization of large sports building envelopes: A case study.” In Proc., Int. Association for Shell and Spatial Structures. Amsterdam, Netherlands: Future Visions.
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Journal of Architectural Engineering
Volume 29 • Issue 1 • March 2023
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© 2022 American Society of Civil Engineers.
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Received: Jul 8, 2021
Accepted: Aug 23, 2022
Published online: Oct 31, 2022
Published in print: Mar 1, 2023
Discussion open until: Mar 31, 2023
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