건물 에너지 시뮬레이션 파라미터 값 도출 시험 절차의 요구 조건에 관한 연구
Study of Test Procedures Requirements for Deriving Values for Building Energy Simulation Parameters
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초록
Using simulations to evaluate the energy consumption of buildings has advantages in terms of time and cost when compared to testing in actual buildings. However, errors occur between the data from actual buildings with complex parameters and simulation inputs, simplified for more straightforward calculations. Therefore, research is underway to identify the parameters that have the most significant impact on the energy consumption of a building and to compensate for these errors. Therefore, this study has investigated the current status of building energy domestically and internationally to determine the requirements for a parameter value derivation test for building energy simulations.
Abstract
Using simulations to evaluate the energy consumption of buildings has advantages in terms of time and cost when compared to testing in actual buildings. However, errors occur between the data from actual buildings with complex parameters and simulation inputs, simplified for more straightforward calculations. Therefore, research is underway to identify the parameters that have the most significant impact on the energy consumption of a building and to compensate for these errors. Therefore, this study has investigated the current status of building energy domestically and internationally to determine the requirements for a parameter value derivation test for building energy simulations.
참고문헌 (62)
- Second National Master Plan for Energy, "Ministry of Trade, Industry and Energy", ~ (2014)
- The Third National Master Plan for Energy, "Ministry of Trade, Industry and Energy", ~ (2019)
- "2050 Carbon Neutrality and Green Growth Commission" (2021)[URL]
- "U.S.: Energy Star"[URL]
- "LEED v4.1 Building Design and Construction, Getting Started Guide for Beta Participants", RICON, ~ (2021)
- "Energy Performance of Buildings Directive Adopted to Bring Down Energy Bills and Reduce Emissions" (2024)[URL]
- "Nearly-zero Energy and Zero-Emission Buildings"[URL]
- Kim, M., "Japan’s Green Construction Policy", Krihs Policy Brief, 263, pp.1~8 (2010)
- "CASBEE"[URL]
- "KS F 1800-1, Building Energy Management System–Part 1 : Function and Data Processing Procedure", ~ (2021)
- "ISO 17772-1:2017, Energy Performance of Buildings–Indoor Environmental Quality–Part 1 : Indoor Environmental Input Parameters for the Design And Assessment of Energy Performance of Buildings", ~ (2017)
- "ISO 52000-1:2017, Energy Performance Of Buildings–Overarching EPB Assessment–Part 1 : General Framework and Procedures", ~ (2017)
- "ISO 52003-1:2017, Energy Performance of Buildings–Indicators, Requirements, Ratings and Certificates–Part 1 : General Aspects and Application to the Overal Energy Performance", ~ (2017)
- "ISO 52016-1:2017, Energy Performance of Buildings–Energy Needs for Heating and Cooling, Internal Temperatures and Sensible and Latent Heat Loads–Part 1 : Calculation Procedures", ~ (2017)
- "GB", T 24851-2010, Specification for Equipping and Managing of Measuring Instrument of Energy in Building Material Industry, 2010
- "GB", T 38294-2019, Technical Guidelines of Energy Audit for Building Materials Industry, 2019
- "KS B ISO 9459-4, Solar Heating–Domestic Water Heating Systems–Part 4 : System Performance Characterization by Means of Component Tests and Computer Simulation", ~ (2020)
- "ISO 11855-1:2021, Building Environment Design–Embedded Radiant Heating and Cooling Systems–Part 1: Definitions, Symbols, and Comfort Criteria", ~ (2021)
- "ISO 18523-1:2016, Energy Performance of Buildings–Schedule and Condition of Building, Zone and Space Usage for Energy Calculation–Part 1 : Non-residential Buildings", ~ (2016)
- "ISO 52010-1:2017, Energy Performance of Buildings–External Climatic Conditions–Part 1 : Conversion of Climatic Data for Energy Calculations", ~ (2017)
- "ISO 52017-1:2017, Energy Performance of Buildings–Sensible and Latent Heat Loads and Internal Temperatures–Part 1 : Generic Calculation Procedures", ~ (2017)
- "ISO 13790:2008, Energy Performance of Buildings–Calculation of Energy Use for Space Heating and Cooling", ~ (2008)
- "KS F 2829, Thermal Performance of Buildings–Quantitative Detection of Thermal Irregularities in Building Envelopes–Infrared Method", ~ (2020)
- "KS M ISO 6946, Building Components and Building Elements–Thermal Resistance and Thermal Transmittance–Calculation Method", ~ (2023)
- "ISO 9869-1:2014, Thermal Insulation–Building Elements–In-situ Measurement of Thermal Resistance and Thermal Transmittance", ~ (2014)
- "ISO 9972:2015, Thermal Performance of Buildings–Determination of Air Permeability of Buildings–Fan Pressurization Method", ~ (2015)
- "ISO 10211:2017, Thermal Bridges in Building Construction–Heat Flows and Surface Temperatures–Detailed Calculations", ~ (2017)
- "ISO 18292:2011, Energy Performance of Fenestration Systems for Residential Buildings–Calculation Procedure", ~ (2011)
- "GB", T 37825-2019, Test Method for Simulating Wind Pressure Resistance of Building Glass under the Uniform Static Loads, 2019
- "ISO 21931-1:2022, Sustainability in Buildings and Civil Engineering Works–Framework for Methods of Assessment of the Environmental, Social and Economic Performance of Construction Works as a Basis for Sustainability Assessment–Part 1 : Buildings", ~ (2022)
- "GB", T 36261-2018, On-site Test Technical Condition And Calculation for Optical and Thermal Parameters of Energy Saving Glass for Building, 2018
- De Wilde, P., "The Gap between Predicted and Measured Energy Performance of Buildings : A Framework for Investigation", Automation in Construction, 41, pp.40~49 (2014)
- Jeon, B., "Comparison of ECO2 Results Using Calibrated Input Data Pertaining to Room Operating Conditions", Journal of KIAEBS, 12(3), pp.223~234 (2018)
- Lam, J. C., "Sensitivity Analysis of Energy Performance of Office Buildings", Building and Environment, 31(1), pp.27~39 (1996)
- Westphal, F. S., "Building Simulation Calibration Using Sensitivity Analysis", Ninth International IBPSA Conference, pp.1331~1338 (2005)
- Kim, K., "Sensitivity Analysis of Building Envelope of Non-Dwelling Buildings", Journal of the KSES, 35(1), pp.53~60 (2015)
- Kong, D., "Selecting of the Energy Performance Diagnosis Items through the Sensitivity Analysis of Existing Buildings", Korean Journal of Air-Conditioning and Refrigeration Engineering, 27(7), pp.354~361 (2015)
- Chu, H., "Sensitivity Analysis Using Explainable AI for Building Energy Use", Journal of the AIK, 38(11), pp.279~287 (2022)
- Nguyen, A. T., "Building Simulation, Vol. 8", pp.651~664 (2015), In Building Simulation
- Nieminen, P., "Application of Standardized Regression Coefficient in Meta-Analysis", BioMedInformatics, 2(3), pp.434~458 (2022)
- Tian, W., "A Review of Sensitivity Analysis Methods in Building Energy Analysis", Renewable and Sustainable Energy Reviews, 20, pp.411~419 (2013)
- Min, C., "Study on Damage Detection Method Using Meta Model", Journal of Ocean Engineering and Technology, 29(5), pp.351~358 (2015)
- Yoo, Y., "Rational Building Energy Assessment Using Global Sensitivity Analysis", Journal of the AIK & Construction, 36(5), pp.177~185 (2020)
- Paleari, L., "Sensitivity Analysis Using Morris : Just Screening or an Effective Ranking Method?", Ecological Modelling, 455, pp.109648~ (2021)
- Yoon, S., "Bayesian Calibration of Energy Model for Existing Buildings", Journal of the AIK, 30(10), pp.189~197 (2014)
- Kennedy, M. C., "Bayesian Calibration of Computer Models", Journal of the Royal Statistical Society : Series B(Statistical Methodology), 63(3), pp.425~464 (2001)
- Geman, S., "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, pp.721~741 (1984)
- Gilks, W. R., "Markov Chain Monte Carlo in Practice" (1995), CRC Press
- Robert, C. P., "Monte Carlo Statistical Methods, Vol. 2" (1999), Springer
- Hoffman, M. D., "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo", J. Mach. Learn. Res, 15(1), pp.1593~1623 (2014)
- "Computational Statistics I" (2020)[URL]
- Nishio, M., "Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for Estimating Genetic Parameters and Breeding Values", Genetics Selection Evolution, 51, pp.1~12 (2019)
- Kin, Y., "Sensitivity Analysis and Nonparametric Monte-Carlo Method in Buliding Simulation Tool", Proceedings of KIAEBS, pp.155~158 (2011)
- Ko, S., "An Examination on the Improvement of ECO2 by Comparing Sensitivity of Input Variables with Design Builder", Journal of the Regional Association of AIK, 24(6), pp.129~136 (2022)
- Veiga, R. K., "Application of Machine Learning to Estimate Building Energy Use Intensities", Energy and Buildings, 249, pp.111219~ (2021)
- Park, B., "Evaluation of Residential Performance in Commercialization of Flexible Unit Infra Free Residential for Disaster", Journal of KSES, 38(6), pp.37~49 (2018)
- Lee, W., "Design Planning and Evaluation Using Mock-Up for the Short-Term Temporary Housing", Journal of the KAIS, 20(3), pp.609~616 (2019)
- Shin, H., "Mobile energy Shelter House(MeSH)for Victims When a Disaster Occurs–Focused on Indoor Thermal Environmental Performance", Journal of KIEAE, 14(6), pp.75~80 (2014)
- Son, J., "A Pilot Study on In-situ Measurement Method for Cooling Performance of Air-Source Heat Pump", Journal of the AIK, 38(9), pp.201~207 (2022)
