Acknowledgement
본 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (No. 20192010107290)
References
- ASHRAE, (2017). ASHRAE Handbook: Fundamentals 2017, ASHRAE.
- Augenbroe, G. (2019). The role of simulation in performance-based building. In Building performance simulation for design and operation (pp. 343-373). Routledge.
- Augenbroe, G., & Park, C. S. (2005). Quantification methods of technical building performance. Building Research & Information, 33(2), 159-172. https://doi.org/10.1080/0961321042000325327
- Cukier, R. I., Fortuin, C. M., Shuler, K. E., Petschek, A. G., & Schaibly, J. H. (1973). Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory. The Journal of chemical physics, 59(8), 3873-3878. https://doi.org/10.1063/1.1680571
- Deru, M., Field, K., Studer, D., Benne, K., Griffith, B., Torcellini, P., & Crawley, D. (2011). US Department of Energy commercial reference building models of the national building stock.
- Foliente, G. (2000). Developments in performance-based building codes and standards. Forest Products Journal, 50(7/8), pp.12-21.
- Heiselberg, P., Brohus, H., Hesselholt, A., Rasmussen, H., Seinre, E., & Thomas, S. (2009). Application of sensitivity analysis in design of sustainable buildings. Renewable Energy, 34(9), 2030-2036. https://doi.org/10.1016/j.renene.2009.02.016
- Hensen, J. L., & Lamberts, R. (Eds.). (2012). Building performance simulation for design and operation. Routledge.
- Heo, Y., Choudhary, R., & Augenbroe, G. A. (2012). Calibration of building energy models for retrofit analysis under uncertainty. Energy and Buildings, 47, 550-560. https://doi.org/10.1016/j.enbuild.2011.12.029
- Hopfe, C. J. (2009). Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization. PhD diss., Eindhoven University.
- Hopfe, C. J., & Hensen, J. L. (2011). Uncertainty analysis in building performance simulation for design support. Energy and Buildings, 43(10), 2798-2805. https://doi.org/10.1016/j.enbuild.2011.06.034
- Hygh, J. S., DeCarolis, J. F., Hill, D. B., & Ranjithan, S. R. (2012). Multivariate regression as an energy assessment tool in early building design. Building and environment, 57, 165-175. https://doi.org/10.1016/j.buildenv.2012.04.021
- IBPSA (1987-2019). Proceedings of IBPSA world conferences. IBPSA.
- Lechner, N. (2014). Heating, cooling, lighting: Sustainable design methods for architects. John wiley & sons.
- NEN, N. (1999). 2916: energy performance of non-residential buildings determination method. Delft: Dutch Normalization Institute (NEN), Standardization Institute.
- Mara, T. A., & Tarantola, S. (2008, December). Application of global sensitivity analysis of model output to building thermal simulations. In Building Simulation (Vol. 1, No. 4, pp. 290-302). Springer Berlin Heidelberg. https://doi.org/10.1007/s12273-008-8129-5
- McKay, M. D., Beckman, R. J., & Conover, W. J. (2000). A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 42(1), 55-61. https://doi.org/10.1080/00401706.2000.10485979
- Morris, M. D. (1991). Factorial sampling plans for preliminary computational experiments. Technometrics, 33(2), 161-174. https://doi.org/10.1080/00401706.1991.10484804
- Park, C. S. (2006). Normative Assessment of Technical Building Performance. Journal of the architectural institute of Korea planning & design, 22(11), 337-344.
- Pati, D., Park, C. S., & Augenbroe, G. (2006). Roles of building performance assessment in stakeholder dialogue in AEC. Automation in construction, 15(4), 415-427. https://doi.org/10.1016/j.autcon.2005.06.009
- Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., & Tarantola, S. (2008). Global sensitivity analysis: the primer. John Wiley & Sons.
- Sobol, I. M. (1993). Sensitivity analysis for non-linear mathematical models. Mathematical modelling and computational experiment, 1, 407-414.
- Sobol, I. M. (1998). On quasi-monte carlo integrations. Mathematics and computers in simulation, 47(2-5), 103-112. https://doi.org/10.1016/S0378-4754(98)00096-2
- Stein, B., Reynolds, J., Grondzik, W., & Kwok, A. (2006). Mechanical and electrical quipment for buildings, John Wiley & Sons, Inc.
- Tian, W. (2013). A review of sensitivity analysis methods in building energy analysis. Renewable and sustainable energy reviews, 20, 411-419. https://doi.org/10.1016/j.rser.2012.12.014
- Tian, W., Yang, S., Li, Z., Wei, S., Pan, W., & Liu, Y. (2016). Identifying informative energy data in Bayesian calibration of building energy models. Energy and Buildings, 119, 363-376. https://doi.org/10.1016/j.enbuild.2016.03.042
- Yoo, Y. S., Yi, D. H., Kim, S. S., & Park, C. S. (2020). Rational Building Energy Assessment using Global Sensitivity Analysis. Journal of the architectural institute of Korea Structure & Construction, 36(5), 177-185. https://doi.org/10.5659/JAIK_SC.2020.36.5.177
- Zhang, X. Y., Trame, M. N., Lesko, L. J., & Schmidt, S. (2015). Sobol sensitivity analysis: a tool to guide the development and evaluation of systems pharmacology models. CPT: pharmacometrics & systems pharmacology, 4(2), 69-79. https://doi.org/10.1002/psp4.6