402
Views
0
CrossRef citations to date
0
Altmetric
Articles

Risk of incorrect choices due to uncertainty in BPS evaluations of conceptual-stage neighbourhood-scale building designs

, &
Pages 234-252 | Received 09 Mar 2022, Accepted 21 Aug 2023, Published online: 19 Sep 2023

References

  • Agarwal, Minu, Gerald Danseux, Luisa Pastore, and Marilyne Andersen. 2019. Reliability Of Daylight And Energy Demand Evaluations For Decision Making At The Conceptual Design Stage. 16:121–128. Building Simulation: IBPSA.
  • AIA. 2019. “Architect’s Guide to Building Performance - AIA.” https://www.aia.org/resources/6157114-architects-guide-to-building-performance.
  • ASHRAE. 2018. “Energy Simulation Aided Design for Buildings except Low-Rise Residential Buildings (ANSI Approved) ASHRAE 209-2018.” ASHRAE. https://www.techstreet.com/standards/ashrae-209-2018?product_id=2010483.
  • Attia, Shady, Elisabeth Gratia, André De Herde, and Jan LM Hensen. 2012. “Simulation-Based Decision Support Tool for Early Stages of Zero-Energy Building Design.” Energy and Buildings 49: 2–15. https://doi.org/10.1016/j.enbuild.2012.01.028.
  • Attia, Shady, and Andre De Herde. 2011. “Early Design Simulation Tools for Net Zero Energy Buildings a Comparison of Ten Tools.” In Conference Proceedings of 12th International Building Performance Simulation Association, 2011.
  • Baker, Nick, and Koen Steemers. 1996. “LT Method 3.0 — a Strategic Energy-Design Tool for Southern Europe.” Energy and Buildings 23 (3): 251–256. https://doi.org/10.1016/0378-7788(95)00950-7.
  • Basbagill, John P., Forest L. Flager, and Michael Lepech. 2014. “A Multi-Objective Feedback Approach for Evaluating Sequential Conceptual Building Design Decisions.” Automation in Construction 45 (September): 136–150. doi:10.1016/j.autcon.2014.04.015.
  • Bawa, V. S., and E. B. Lindenberg. 1977. “Capital Market Equilibrium in a Mean-Lower Partial Moment Framework.” Journal of Financial Economics 5 (2): 189–200.
  • BC Housing, BC Hydro, City of Vancouver, City of New Westminister, and Provice of Britsh Columbia. 2018. “BC Energy Step Code – Design Guide.” City of Vancouver, the City of New Westminster, the Province of BC.
  • Brembilla, E., C. J. Hopfe, and J. Mardaljevic. 2018. “Influence of Input Reflectance Values on Climate-Based Daylight Metrics Using Sensitivity Analysis.” Journal of Building Performance Simulation 11 (3): 333–349. https://doi.org/10.1080/19401493.2017.1364786.
  • Brembilla, E., and J. Mardaljevic. 2019. “Climate-Based Daylight Modelling for Compliance Verification: Benchmarking Multiple State-of-the-Art Methods.” Building and Environment 158: 151–164. https://doi.org/10.1016/j.buildenv.2019.04.051.
  • CIBSE, C. O. D. E. 2015. AM11 Building Performance Modelling 2015. London: CIBSE Building Services Knowledge. https://www.cibse.org/Knowledge.
  • Clarke, Joseph Andrew, and J. L. M. Hensen. 2015. “Integrated Building Performance Simulation: Progress, Prospects And Requirements.” Building and Environment 91: 294–306. https://doi.org/10.1016/j.buildenv.2015.04.002.
  • Compagnon, Raphael. 2004. “Solar and Daylight Availability in the Urban Fabric.” Energy and Buildings 36 (4): 321–328. https://doi.org/10.1016/j.enbuild.2004.01.009.
  • Crawley, Drury B., Linda K. Lawrie, Frederick C. Winkelmann, Walter F. Buhl, Y. Joe Huang, Curtis O. Pedersen, Richard K. Strand, et al. 2001. “EnergyPlus: Creating a New-Generation Building Energy Simulation Program.” Energy and Buildings 33 (4): 319–331.
  • De Wit, Sten, and Augenbroe Godfried. 2002. “Analysis of Uncertainty in Building Design Evaluations and Its Implications.” Energy and Buildings, A View of Energy and Bilding Performance Simulation at the Start of the Third Millennium 34 (9): 951–958.
  • Dogan, Timur, and Ye Chan Park. 2017. “A New Framework for Residential Daylight Performance Evaluation.” BS 2017, San Francisco, USA.
  • Dogan, Timur, Christoph Reinhart, and Panagiotis Michalatos. 2016. “Autozoner: An Algorithm for Automatic Thermal Zoning of Buildings with Unknown Interior Space Definitions.” Journal of Building Performance Simulation 9 (2): 176–189. https://doi.org/10.1080/19401493.2015.1006527.
  • Futcher, Julie Ann, Tristan Kershaw, and Gerald Mills. 2013. “Urban Form and Function as Building Performance Parameters.” Building and Environment 62: 112–123. https://doi.org/10.1016/j.buildenv.2013.01.021.
  • Hester, Joshua, Jeremy Gregory, and Randolph Kirchain. 2017. “Sequential Early-Design Guidance for Residential Single-Family Buildings Using a Probabilistic Metamodel of Energy Consumption.” Energy and Buildings 134: 202–211. https://doi.org/10.1016/j.enbuild.2016.10.047.
  • Hoes, P., J. L. M. Hensen, M. G. L. C. Loomans, Bert de Vries, and Denis Bourgeois. 2009. “User Behavior in Whole Building Simulation.” Energy and Buildings 41 (3): 295–302. https://doi.org/10.1016/j.enbuild.2008.09.008.
  • Hopfe, Christina J, Godfried LM Augenbroe, and Jan LM Hensen. 2013. “Multi-criteria Decision Making Under Uncertainty in Building Performance Assessment.” Building and Environment 69: 81–90. https://doi.org/10.1016/j.buildenv.2013.07.019.
  • Hubbard, Douglas W. 2014. How to Measure Anything: Finding the Value of Intangibles in Business. John Wiley & Sons.
  • Huber, Jorg, and Christoph Nytsch-Geusen. 2011. “Development of Modeling and Simulation Strategies for Large Scale Urban Districts.” In Proceedings of Building Simulation, 2011:1753–60.
  • IESNA. 2012. “IES LM 83 12 IES Spatial Daylight Autonomy (SDA) and Annual Sunlight Exposure (ASE).” IES LM 83 12. Illuminating Engineering Society of North America (IESNA).
  • ISO. 2005. “ISO 7730:2005.” https://www.iso.org/standard/39155.html.
  • Iversen, Anne, Svend Svendsen, and Toke Rammer Nielsen. 2013. “The Effect of Different Weather Data Sets and Their Resolution on Climate-Based Daylight Modelling.” Lighting Research & Technology 45 (3): 305–316. https://doi.org/10.1177/1477153512440545.
  • JEPlus. 2022. Last Updated 2022. http://www.jeplus.org.
  • Jusselme, Thomas, Emmanuel Rey, and Marilyne Andersen. 2018. “An Integrative Approach for Embodied Energy: Towards an LCA -Based Data-Driven Design Method.” Renewable and Sustainable Energy Reviews 88: 123–132. doi:10.1016/j.rser.2018.02.036.
  • Kochenderfer, Mykel J. 2015. Decision Making Under Uncertainty: Theory and Application. MIT Press.
  • Kotireddy, Rajesh, Pieter-Jan Hoes, and Jan L. M. Hensen. 2019. “Integrating Robustness Indicators Into Multi-Objective Optimization to Find Robust Optimal Low-Energy Building Designs.” Journal of Building Performance Simulation 12 (5): 546–565. https://doi.org/10.1080/19401493.2018.1526971.
  • Lempert, R. J. 2019. “Robust Decision Making (RDM).” In Decision Making Under Deep Uncertainty: From Theory to Practice, edited by Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, and Steven W. Popper, 23–51. Cham: Springer International Publishing.
  • Menezes, Anna Carolina, Andrew Cripps, Dino Bouchlaghem, and Richard Buswell. 2012. “Predicted vs. Actual Energy Performance of Non-Domestic Buildings: Using Post-Occupancy Evaluation Data to Reduce the Performance Gap.” Applied Energy, Energy Solutions for a Sustainable World - Proceedings of the Third International Conference on Applied Energy, May 16-18, 2011 - Perugia, Italy, 97 (September): 355–64.
  • Minergie P Standard. 2022 “Minergie International.” Accessed December 7, 2022. https://www.minergie.com/.
  • Nabil, A., and J. Mardaljevic. 2005. “Useful Daylight Illuminance: A New Paradigm for Assessing Daylight in Buildings.” Lighting Research & Technology 37 (1): 41–57. https://doi.org/10.1191/1365782805li128oa.
  • Nault, Emilie, Christoph Waibel, Jan Carmeliet, and Marilyne Andersen. 2018. “Development and Test Application of the UrbanSOLve Decision-Support Prototype for Early-Stage Neighborhood Design.” Building and Environment 137: 58–72. https://doi.org/10.1016/j.buildenv.2018.03.033.
  • Nezamdoost, Amir, Kevin Van Den Wymelenberg. 2017. “Blindswitch 2017: Proposing a New Manual Blind Control Algorithm for Daylight and Energy Simulation.” In IES Annual Conference Proceedings. Portland, OR.
  • Okeil, Ahmad. 2010. “A Holistic Approach to Energy Efficient Building Forms.” Energy and Buildings 42 (9): 1437–1444. https://doi.org/10.1016/j.enbuild.2010.03.013.
  • Østergård, Torben, Rasmus L Jensen, and Steffen E Maagaard. 2017. “Early Building Design: Informed Decision-Making by Exploring Multidimensional Design Space Using Sensitivity Analysis.” Energy and Buildings 142: 8–22. https://doi.org/10.1016/j.enbuild.2017.02.059.
  • Ratti, Carlo, Nick Baker, and Koen Steemers. 2005. “Energy Consumption and Urban Texture.” Energy and Buildings 37 (7): 762–776. https://doi.org/10.1016/j.enbuild.2004.10.010.
  • Reinhart, Christoph, Timur Dogan, J. Alstan Jakubiec, Tarek Rakha, and Andrew Sang. 2013. “Umi-an Urban Simulation Environment for Building Energy Use, Daylighting and Walkability.” In 13th Conference of International Building Performance Simulation Association, Chambery, France.
  • Reinhart, C., and V. LoVerso. 2010. “A Rules of Thumb-Based Design Sequence for Diffuse Daylight.” Lighting Research & Technology 42 (1): 7–31. https://doi.org/10.1177/1477153509104765.
  • Rezaee, Roya, Jason Brown, John Haymaker, and Godfried Augenbroe. 2019. “A New Approach to Performance-Based Building Design Exploration Using Linear Inverse Modeling.” Journal of Building Performance Simulation 12 (3): 246–271. https://doi.org/10.1080/19401493.2018.1507046.
  • Robinson, Darren, Neil Campbell, W. Gaiser, K. Kabel, A. Le Mouel, Nicolas Morel, Jessen Page, S. Stankovic, and A. Stone. 2007. “SUNtool – A new Modelling Paradigm for Simulating and Optimising Urban Sustainability.” Solar Energy 81 (9): 1196–1211. https://doi.org/10.1016/j.solener.2007.06.002.
  • Rysanek, A. M., and R. Choudhary. 2013. “Optimum Building Energy Retrofits Under Technical and Economic Uncertainty.” Energy and Buildings 57: 324–337. https://doi.org/10.1016/j.enbuild.2012.10.027.
  • Sattrup, Peter A., and Jakob Strømann-Andersen. 2013. “Building Typologies in Northern European Cities: Daylight, Solar Access, and Building Energy Use.” Journal of Architectural and Planning Research 30 (1): 56–76.
  • Savage, L. J. 1951. “The Theory of Statistical Decision.” Journal of the American Statistical Association 46 (253): 55–67. https://doi.org/10.1080/01621459.1951.10500768.
  • Sefaira. 2022. Last updated 2022. https://www.sketchup.com/products/sefaira.
  • SIA. 2017. “Construction Durable Batiment Norme de Comprehension a La Norme SIA 112.” Société suisse des ingénieurs et des architectes(SIA).
  • Souza, Clarice Bleil de. 2009. “A Critical and Theoretical Analysis of Current Proposals for Integrating Building Thermal Simulation Tools Into the Building Design Process.” Journal of Building Performance Simulation 2 (4): 283–297. https://doi.org/10.1080/19401490903349601.
  • Su, Hsin Ting, and Yeou Koung Tung. 2012. “Minimax Expected Opportunity Loss: A New Criterion for Risk-Based Decision Making.” The Engineering Economist 57 (4): 247–273. https://doi.org/10.1080/0013791X.2012.729875.
  • Tregenza, P. R. 2017. “Uncertainty in Daylight Calculations.” Lighting Research & Technology 49 (7): 829–844. https://doi.org/10.1177/1477153516653786.
  • Van Den Wymelenberg, Kevin. 2012. “Patterns of Occupant Interaction with Window Blinds: A Literature Review.” Energy and Buildings 51: 165–176. https://doi.org/10.1016/j.enbuild.2012.05.008.
  • Wald, Abraham. 1950. Statistical Decision Functions. Statistical Decision Functions. Oxford: Wiley.
  • Wright, Jonathan, Elli Nikolaidou, and Christina J Hopfe. 2016. “Exhaustive Search; Does It Have a Role in Explorative Design.” In BSO2016, 3rd Building Simulation and Optimization Conference, Newcastle, UK, September 12. Vol. 14.
  • Xia, Chunhai, Yingxin Zhu, and Borong Lin. 2008. “Building Simulation as Assistance in the Conceptual Design.” In Building Simulation. Springer.