Submit your paper : editorIJETjournal@gmail.com

Paper Title : Utilization of LiDAR and Big Data in Daylight Concept Design Process Integrated with a Parametric Approach

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I6P3

Authors: Gervasius Herry Purwoko, Stephanus Evert Indrawan

         


Abstract
Indonesia is presently in the era of the Industrial Revolution 4.0 where data and information are important in the architectural design process, specifically for the daylight design at the initial observation stage. This is considered necessary because architecture students generally have problems obtaining accurate and measurable data for sunlight, wind direction, road patterns around the site, and others. Therefore, this study focuses on considering the quality of sunlight in the design of high-rise buildings using an integrated workflow which involves recording location conditions with LiDAR technology and combining them with Geospatial data summarized in Big Data through OpenStreetMap. Moreover, the Ciputra University campus area was used as the case study, also this was conducted using experimental methods. It is important to note that site conditions and the external environment are considered to be an important part of the design process. Therefore, the experiment was initiated by recording the existing conditions of the area and combining the findings with the vector data through OpenStreetMap and this was followed by the determination of the current condition, and the findings were also combined with the vector data through the same application. Furthermore, a parametric-based simulation process was performed using Rhinoceros, Grasshopper, Elk, Ladybug, and Climatestudio software. The result showed a series of integrated workflows in the form of visual scripting that makes it easy for designers to conduct a design process integrated with the Rhinoceros software but the workflow requires special knowledge of environmental data and using parametric-based software.

Reference
1. n.a. (2009) n.t, CTBUH J. 2009, no I p 60 2. Abdullah H.K., and Kamara J.M. (2013). Parametric design procedures: A new approach to generative-form in the conceptual design phase, AEI 2013 Build. Solut. Archit. Eng. - Proc. 2013 Archit. Eng. Natl. Conf., No. April, pp. 333–342. DOI: 10.1061/9780784412909.032. 3. Ahmad A., Kumar A., Prakash O., and Aman A. (2020) Daylight availability assessment and the application of energy simulation software – A literature review, Mater. Sci. Energy Technol., Vol. 3, pp. 679–689. DOI: 10.1016/j.mset.2020.07.002. 4. Al Kodmany K. (2012). Sustainable tall buildings: toward a comprehensive design approach, Int. J. Sustain. Des., Vol 2, No 1, p 1 DOI: 10.1504/ijsdes.2012.051470. 5. Ander G.D. (1995) Daylighting Performance and Design. Van Nostrand Reinhold 6. Bower M., Cram A., and Groom D. (2010). Blended reality: Issues and potentials in combining virtual worlds and faceto-face classes, ASCILITE 2010 - Australas. Soc. Comput. Learn. Tert. Educ., pp. 129–140. 7. Buildings T., and Performance D. (2016). Study on Integrated Workflow for Designing Sustainable Tall Building - With Parametric method using Rhino Grasshopper and DIVA for Daylight Optimization, Vol. 16, No. 5, pp. 21–28. 8. Dabe T.J., and Adane V.S. (2020). Evaluation of Daylight Parameters on the Basis Simulation Model for the Tropical Climate, J. Archit. Environ. Struct. Eng. Res., Vol. 3, No. 2, pp. 22–28. DOI: 10.30564/jaeser.v3i2.598. 9. Dewi C.P., Utomo J.B., and Choirotin I. (2018). Optimalisasi Kinerja Solar Shading Sebagai Usaha Menurunkan Solar Gain pada Bangunan, Rev. Urban. Archit. Stud., Vol 16, No 2, pp 42–48 DOI: 10.21776/ub.ruas.2018.016.02.4. 10. Gelil M.N.A. andBadawy N.M. (2015). Simulated comparative investigation of the daylight and airflow of the conventional Egyptian shutter ‘sheesh’ and a proposed latticework device ‘new mashrabiyya, Indoor Built Environ., Vol. 24, No. 5, pp. 583–596. DOI: 10.1177/1420326X13516656. 11. González J., and Fiorito F. (2015). Daylight design of office buildings: Optimisation of external solar shadings by using combined simulation methods. Buildings, Vol. 5, No. 2, pp. 560–580. DOI: 10.3390/buildings5020560. 12. Margaryan A., Littlejohn A., andVojt G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies, Comput. Educ., Vol. 56, No. 2, pp. 429–440. DOI: 10.1016/j.compedu.2010.09.004. 13. Minghini M., and Frassinelli F. (2019). OpenStreetMap history for intrinsic quality assessment: Is OSM up-to-date? Open Geospatial Data, Softw. Stand., Vol. 4, No. 1. DOI: 10.1186/s40965-019-0067-x. 14. Mufidah L., and Purwanto. (2021). Adaptasi Kinerja Bangunan Rumah Tinggal dengan Ventilasi Atap Responsif, RUAS (Review Urban. Archit. Stud., Vol 19, No 1, pp. 80–91. 15. Oulasvirta A., Rattenbury T., Ma L., and Raita E. (2012). Habits make smartphone use more pervasive,” Pers. Ubiquitous Comput., vol. 16, no. 1, pp. 105–114, 2012, DOI: 10.1007/s00779-011-0412-2. 16. Tedeschi A. (2014). AAD Algorithms-Aided Design : Parametric Strategies Using Grasshopper / Arturo Tedeschi ; Foreword: Fulvio Wirz. 17. Valls F., Redondo E., Fonseca D., Torres-Kompen R., Villagrasa S., and Martí N. (2018). Urban data and urban design: A data mining approach to architecture education, Telemat. Informatics, Vol. 35, No. 4, pp. 1039–1052. DOI: 10.1016/j.tele.2017.09.015. 18. White E.T. (1983). Site Analysis: Diagramming Information for Architectural Design, Architectural Media
Keywords
- Big Data; Geographic Information; Grasshopper; ; Site Analysis; Visual Programming .