Obstacles to the Automation of Building Performance Simulation: Adaptive Building Integrated Photovoltaic (BIPV) design

Authors

  • Nuttasit Somboonwit Multidisciplinary Design Research, Faculty of Architecture, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand
  • Amon Boontore Department of Urban and Regional Planning, Faculty of Architecture, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand
  • Yanin Rugwongwan Multidisciplinary Design Research, Faculty of Architecture, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand

DOI:

https://doi.org/10.21834/e-bpj.v2i5.619

Abstract

Building Integrated Photovoltaic (BIPV) is one of the most promising renewable energy technologies. A BIPV system as a second layer of building envelopes is useful not only for the electric power generation but also for blocking solar radiation to reduce cooling load.  This study aimed to explore the limitations of the automated BPS of an adaptive BIPV case study that its development conducted through a collaboration of a BIM software, a BIM-integrated visual programming environment, and a cloud-based energy analysis. The possible obstacles to BIPV design processes and the potential solutions have been discussed.

Keywords: Automated Building Performance Simulation; Adaptive Building; Building Integrated Photovoltaic; Building Information Modelling; Parametric Modelling

ISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

Author Biography

Yanin Rugwongwan, Multidisciplinary Design Research, Faculty of Architecture, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand

Assistant Professor

References

Agugiaro, G. (2016). Energy planning tools and CityGML-based 3D virtual city models: experiences from Tento (italy). Applied Geomatics, Volume 8, Issue 1, 41-56.

Attia, S., De Herde, A., Gratia, E., & Hensen, J. L. (2013). Achieving informed decision-making for net zero energy buildings design using building performance simulation tools. Building Simulation, 6(1), 3-21.

Autodesk. (2013). Dynamo: Visual Programming for Design. Retrieved from Autodesk University: http://aucache.autodesk.com/au2013/sessionsFiles/3362/1916/handout_3362_Dynamo%20Visual%20Programming%20for%20Design.pdf

Autodesk. (2014, November 02). Where to locate and download Dynamo for Autodesk Revit. Retrieved from Autodesk Knowledge Network: https://knowledge.autodesk.com/support/revit-products/troubleshooting/caas/sfdcarticles/sfdcarticles/Where-to-locate-and-download-Dynamo-for-Autodesk-Revit.html

Autodesk. (2016). Advanced Energy Settings. Retrieved from Autodesk Revit 2017: http://help.autodesk.com/view/RVT/2017/ENU/?guid=GUID-24528ACB-E82C-410F-BEB7-24BDBA6D0769

Bazjanac, V. (2008). IFC BIM-based Methodology for Semi-automated Building Energy Performance Simulation. CIB-W78 25th (p. 15). Santiago, Chile: Lawrence Berkeley National Laboratory.

Bazjanac, V., Maile, T., Rose, C., O'Donnell, J. T., Mrazovic, N., Morrissey, E., & Welle, B. R. (2011). An assessment of the use of Building Energy Performance Simulation in early design. Proceedings of Building Simulation 2011 (pp. 1579-1585). Sydney: International Building Performance Simulation Association.

Bentley Systems Incorporated. (2016). Hevacomp Dynamic Simulation. Retrieved from Bentley: https://www.bentley.com/en/products/product-line/building-design-software/hevacomp-dynamic-simulation

Clarke, J. A., & Hensen, J. L. (2015). Integrated building performance simulation: Progress, prospects, and requirements. Building and Environment, 91, 294-306.

Coakley, D., Raftery, P., & Keane, M. (2014). A review of methods to match building energy simulation models to measured data. Renewable and Sustainable Energy Reviews, 123-141.

Crawley, D. B. (2015, November 10). Building Performance Simulation: What's in the Black Box & How Do I Get My BIM Data There? Retrieved from U.S. Green

Building Council, Texas Gulf Coast Region: http://usgbctexasgulfcoast.org/images/downloads/151110crawley_building_performance_simulation_whats_in_the_black_box_and_how_do_i_get_bim_in_there.pdf

Eastman, C., Teicholz, P., Sacks, R., & Liston, k. (2011). BIM Handbook - A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors. Hoboken, New Jersey: John Wiley & Sons, Inc.

Egger, S. (2015, December 23). Autodesk Green Building Studio. Retrieved from Building Energy Software Tools: http://www.buildingenergysoftwaretools.com/software/autodesk-green-building-studio

Egger, S. (2015, December 23). Autodesk Insight 360. Retrieved from BEST Directory: Building Energy Software Tools: http://www.buildingenergysoftwaretools.com/software/autodesk-insight-360

Fiorito, F., Sauchelli, M., Arroyo, D., Pesenti, M., Imperadori, M., Masera, G., & Ranzi, G. (2016). Shape morphing solar shadings: A review. Renewable and Sustainable Energy Reviews, 55, 863-884.

Frontini, F., Bonomo, P., Chatzipanagi, A., Verberne, G., Van Den Donker, M., Sinapis, K., & Folkerts, W. (2015). BIPV Product Overview for Solar Facades and Roofs. Retrieved from The Solar Energy Application Centre (SEAC): http://www.seac.cc/fileadmin/seac/user/doc/SEAC-SUPSI_report_2015_-_BIPV_product_overview_for_solar_facades_and_roofs_1_.pdf

Gourlis, G., & Kovacic, I. (2017). Building Information Modeling for analysis of energy efficient industrial buildings - A case study. Renewable and Sustainable Energy Reviews, 68, 953-963.

Hand, J. W., Crawley, D. B., Donn, M., & Lawrie, L. K. (2005). Improving the data available to simulation programs. Proceedings of Building Simulation 2005 (pp. 373-380). Montreal, Canada: International Building Performance Simulation Association (IBPSA).

Honsberg, C., & Bowden, S. (2014). Solar Radiation on a Tilted Surface. Retrieved from PV EDUCATION.ORG: http://www.pveducation.org/pvcdrom/properties-sunlight/solar-radiation-tilted-surface

IBPSA-USA. (2012, September 13). History of Building Energy Modeling. Retrieved from BEMBook: http://bembook.ibpsa.us/index.php/History_of_Building_Energy_Modeling

Ibraheem, Y., Farr, E. R., & Piroozfar, P. A. (2016). Embedding passive intelligence into building envelopes: a review of the state-of-the-art in integrated photovoltaic shading devices. 8th International Conference on Sustainability in Energy and Buildings, SEB. Turin, Italy: Energy Procedia.

Jelle, B. P., Breivik, C., & Røkenes, H. D. (2012). Building integrated photovoltaic products: A state-of-the-art review and future research opportunities. Solar Energy Materials & Solar Cells, 69-96.

Kensek, K. M. (2014, October). Integration of Environmental Sensors with BIM: case studies using Arduino. Dynamo, and the Revit API. Informes de la Construcción, 66(536), 31-39. doi:10.3989/ic.13.151

Kim, H., & Anderson, K. (2013). Energy modeling system using building. Journal of Computing in Civil Engineering 27(3), 203-211.

Kim, H., Asl, M. R., & Yan, W. (2015). Parametric BIM-based Energy Simulation for Buildings with Complex Kinetic Facades. Proceedings of the 33rd eCAADe Conference. 1, pp. 657-664. Vienna, Austria: Education and research in Computer Aided Architectural Design in Europe.

Kron, Z. (2013, December 5). Enhanced Parametric Design with Dynamo Visual Programming for Revit and Autodesk Vasari. Retrieved from Autodesk University: http://au.autodesk.com/au-online/classes-on-demand/class-catalog/2013/revit-for-architects/ab3362-l

Krygiel, E., & Nies, B. (2008). Green BIM: Successful Sustainable Design with Building Information Modeling. New Jersey: John Wiley & Sons.

Kumar, S. (2008). Interoperability between building information models. Los Angeles, USA: PhD Thesis, University of Southern California.

Kymmell, W. (2008). Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations . New York: McGraw-Hill.

Ladenhauf, D., Battisti, K., Berndt, R., Eggeling, E., Fellner, D. W., Gratzl-Michlmair, M., & Ullrich, T. (2015). Computational geometry in the context of building information. Energy and Buildings, 115, 78-84.

Matthew, G., Jason, G., Melissa, T., Seokho, C., & Fiona, C. Y. (2013). Building Information Modelling : an international survey. Building Information Modelling : an international survey. In World Building Congress 2013, 5-9 May 2013. Brisbane, QLD: Queensland University of Technology.

Nagy, Z., Svetozarevic, B., Jayathissa, P., Begle, M., Hofer, J., Lydon, G., . . . Schlueter, A. (2016). The Adaptive Solar Facade: From concept to prototypes. Frontiers of Architectural Research, 5, 143-156.

Negendahl, K. (2015). Building performance simulation in the early design stage: An introduction to integrated dynamic models. Automation in Construction, 54, 39-53.

O'Donnell, J., See, R., Rose, C., Maile, T., Bazjanac, V., & Haves, P. (2011). Simmodel: A domain data model for whole building energy simulation. SimBuild 2011. Sydney, Australia: International Building Performance Simulation Association (IBPSA).

Peng, C., Huang, Y., & Wu, Z. (2011). Building-integrated photovoltaics (BIPV) in architectural design in China. Energy and Buildings, 3592-3598.

Pesenti, M., Masera, G., Fiorito, F., & Sauchelli, M. (2015). Kinetic solar skin: a responsive folding technique. Energy Procedia, 70, 661-672.

Radwan, A. H. (2013). Smart Facades: From adaptation with climate, changing esthetical values, till digital drawings on buldings envalope. Retrieved from Academia.edu: http://s3.amazonaws.com/academia.edu.documents/41020030/03_SMART_FACADES-Copy.pdf?AWSAccessKeyId=AKIAJ56TQJRTWSMTNPEA&Expires=1481256486&Signature=EMuXHPZ8MSWvVT%2BqOyjxANBZwyE%3D&response-content-disposition=inline%3B%20filename%3DSmart_Facades_From_adap

Reeves, T., Olbina, S., & Issa, R. R. (2015). Guidelines for using Building Information Modeling for energy analysis of buildings. Buildings, 5, 1361-1388. doi:doi:10.3390/buildings5041361

Reinhard, P., Chirilă, A., Blösch, P., Pianezzi, F., Nishiwaki, S., Buecheler, S., & Tiwari, A. N. (2013). Review of Progress Toward 20% Efficiency Flexible CIGS Solar Cells and Manufacturing Issues of Solar Modules. IEEE Journal of Photovoltaics, 3(1), 572-580. doi:10.1109/JPHOTOV.2012.2226869

Roh, J. (2015, March 05). 20150305 Turorial Dynamo Folding Panel Sun Script. Retrieved from Youtube.com: https://www.youtube.com/watch?v=odgFpKVmdhM

Shen, Y. T., & Lu, P. W. (2016). The development of kinetic facade units with BIM-based active control system for the adaptive building energy performance service. International Conference of the Association for Computer-Aided Architectural Design Research in Asia CAADRIA 2016 (pp. 517-526). Hong Kong: The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Stine, D. (2015, November 20). Building Performance Analysis in Revit 2016 R2 with Autodesk Insight 360. Retrieved from AECbytes: http://aecbytes.com/tipsandtricks/2015/issue76-revit.html

Strong, S. (2011, December 27). Building Integrated Photovoltaic (BIPV). Retrieved July 25, 2015, from Whole Building Design Guide: http://www.wbdg.org/resources/bipv.php

Summerfield, A. J., & Lowe, R. (2012). Challenges and future directions for energy and building research. Building Research & Information, 40(4), 391-400.

Tupper, K., Franconi, E., Chan, C., Fluhrer, C., Jenkins, M., & Hodgin, S. (2007, January 24). Building Energy Modeling (BEM) Innovation Summit. Retrieved from Rocky Mountain Institute: https://www.google.co.th/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwijxP3_qoTRAhUTTY8KHWP_AQYQFggYMAA&url=http%3A%2F%2Frmi.org%2Fcontent%2FFiles%2FSummit_PreRead_FINAL.pdf&usg=AFQjCNHdOnx0XTNp1iVBu-eXJk6lJccECg&sig2=uPNLT6hPPW6znGh

Vergauwen, A., & Temmerman, N. D. (2012). Analysing the applicability of deployable scissor structures in responsive building skins. High Performance Structure and Materials, VI, 493-504.

Yoo, S.-H. (2011). Simulation for an optimal application of BIPV through parameter variation. Solar Energy, 85, 1291-1301.

Zvironaite, K., Knol, A., & Kneepens, S. (2014). Kinetica: A playful way through the world of moving facades. Retrieved from Delft University of Technology: http://repository.tudelft.nl/islandora/object/uuid:cabfd871-7ea9-465a-9f78-2a24fdcb9430?collection=research

Published

2017-03-19

How to Cite

Somboonwit, N., Boontore, A., & Rugwongwan, Y. (2017). Obstacles to the Automation of Building Performance Simulation: Adaptive Building Integrated Photovoltaic (BIPV) design. Environment-Behaviour Proceedings Journal, 2(5), 343-354. https://doi.org/10.21834/e-bpj.v2i5.619

Most read articles by the same author(s)

1 2 > >>