Development of Extreme Reference Years for Building Energy Simulation Scenarios

Abstract:

Typical years are developed from the analysis of multi-year series, selecting actual months to assembly in a single reference year, representative of the long-term typical weather. Some statistical techniques are generally involved in the development process to ensure true frequencies, sequences and cross-correlations of the weather quantities: as regard the reference year built according to the European technical standard EN ISO 15927-4:2005, TRY_EN, the method is based on the Finkelstein-Schafer statistics. In this work, we exploit the same statistic with a different target: to develop an extreme reference year, ERY, by identifying those candidate months far from being representative of the long-term weather data distribution. These new artificial extreme years are composed of statistically “non-representative” months warmer in the summer and colder in the winter - which means with daily dry bulb temperature and global solar irradiation higher in summer or lower in winter than the long-term averages respectively. The analysis is performed for five Italian localities belonging to the Alpine Regions and to Sicily. Aiming to assess the efficacy of the proposed procedure, TRY_EN and ERY are compared and both used to simulate the energy performance of 48 simplified buildings, parametrically built by varying insulation level, windows’ size, orientation and SHGC and kind of opaque elements.

• Periodical: Applied Mechanics and Materials (Volume 887)
• Pages: 129-139
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.887.129
• Online since: January 2019
• Authors: Giovanni Pernigotto*, Alessandro Prada, Andrea Gasparella
• Keywords: Building Energy Simulation, En ISO 15927-4:2005, Extreme Reference Year, Finkelstein-Schafer Statistic, Test Reference Year

References

[1] T.J. Freeman, Evaluation of the Typical Meteorological Years, for Solar Heating and Cooling System Studies – Final Report, Solar Energy Research Institute, Golden, CO, (1979).

DOI: 10.2172/5626678

[2] R. Aguiar, S. Camelo, H. Gonçalves, Assessing the Value of Typical Meteorological Years Built from Observed and from Synthetic Data for Building Thermal Simulation, Proceeding of the 6th international IBPSA conference, Kyoto, Japan, September 13–15 (1999).

[3] H. Lund, The Design Reference Year, Proceedings of the 3rd international IBPSA conference, Nice, France, August 20–22 (1991).

[4] H. Lund, The Design Reference Year Users Manual, DTU Thermal Insulation Laboratory, Copenhagen, Denmark, (1995).

[5] I.J. Hall, R.P. Richard, E.A. Herbert, C.B. Eldon, Generation of Typical Meteorological Years for 26 SOLMET Stations. Technical Report SAND – 78-1601, Sandia Laboratories, Albuquerque, NM, (1978).

[6] J.M. Finkelstein, R.E. Schafer, Improved Goodness-of-Fit Tests, Biometrika 58:3 (1971) 641–645.

DOI: 10.1093/biomet/58.3.641

[7] W. Marion, K. Urban, User's Manual for TMY2 – Typical Meteorological Years, National Renewable Energy Laboratory, Golden, CO, (1995).

[8] S.M. Wilcox, W. Marion, Users Manual for TMY3 Data Sets, National Renewable Energy Laboratory, Golden, CO, (2008).

DOI: 10.2172/928611

[9] CEN (European Committee for Standardization), EN ISO 15927-4:2005 – Hygrothermal Performance of Buildings – Calculation and Presentation of Climatic Data – Part 4: Hourly Data for Assessing the Annual Energy Use for Heating and Cooling, European Committee for Standardization, Brussels, Belgium, (2005).

DOI: 10.3403/30114395

[10] L. Yang, J.C. Lam, J. Liu, Analysis of Typical Meteorological Years in Different Climates of China, Energy Conversion and Management 48:2 (2007) 654–668.

DOI: 10.1016/j.enconman.2006.05.016

[11] T. Kalamees, K. Jylhä, H Tietäväinen, J. Jokisalo, S. Ilomets, R. Hyvönen, S. Saku, Development of Weighting Factors for Climate Variables for Selecting the Energy Reference Year According to the EN ISO 15927-4 Standard, Energy and Buildings 47 (2012) 53–60.

DOI: 10.1016/j.enbuild.2011.11.031

[12] G. Pernigotto, A. Prada, A. Gasparella, J.L.M. Hensen, Analysis and Improvement of the Representativeness of EN ISO 15927-4 Reference Years for Building Energy simulation, Journal of Building Performance Simulation 7:6 (2014) 391-410.

DOI: 10.1080/19401493.2013.853840

[13] P. Narowski, M. Janicki, D. Heim. Comparison of Untypical Meteorological Years (UMY) and Their Influence on Building Energy Performance Simulation, Proceedings of the 13th international IBPSA conference, Chambéry, France, 26-28 August (2013).

DOI: 10.26868/25222708.2013.1466

[14] D.B. Crawley, L.K. Lawrie, Rethinking the TMY: is the Typical' Meteorological Year best for Building Performance Simulation,, Proceedings of the 14th international IBPSA conference, Hyderabad, India, 7-9 December (2015).

DOI: 10.26868/25222708.2015.2707

[15] D.B. Crawley, Estimating the Impacts of Climate Change and Urbanization on Building Performance, Journal of Building Performance Simulation 1:2 (2008) 91-115.

DOI: 10.1080/19401490802182079

[16] R.A. Cox, M. Drews, C. Rode, S. Balslev Nielsen, Simple Future Weather Files for Estimating Heating and Cooling Demand, Building and Environment 83 (2015) 104-114.

DOI: 10.1016/j.buildenv.2014.04.006

[17] R.A. Gansler, S.A. Klein, W.A. Beckman, Assessment of Accuracy of Generated Meteorological Data for Use in Solar Energy Simulation Studies, Solar Energy 53:3 (1994) 279–287.

DOI: 10.1016/0038-092x(94)90634-3

[18] A.A. Argiriou, S.P. Lykoudis, S. Kontoyiannidis, C.A. Balaras, D.N. Asimakopoulos, M.C. Petrakis, P.A. Kassomenos, Comparison of Methodologies for TMY Generation Using 20 Years Data for Athens, Greece, Solar Energy 66:1 (1999) 33–45.

DOI: 10.1016/s0038-092x(99)00012-2

[19] J. Bilbao, A. Miguel, J.A. Franco, A. Ayuso, Test Reference Year Generation and Evaluation Methods in the Continental Mediterranean Area, Journal of Applied Meteorology 43:2 (2004) 390–400.

DOI: 10.1175/1520-0450(2004)043<0390:trygae>2.0.co;2

[20] G. Pernigotto, A. Prada, D. Cóstola, A. Gasparella, J.L.M. Hensen, Multi-Year and Reference Year Weather Data for Building Energy Labelling in North Italy Climates, Energy and Buildings 72 (2014) 62–72.

DOI: 10.1016/j.enbuild.2013.12.012

[21] G. Antonacci, I. Todeschini, Derivation of Meteorological Reference Year with Hourly Interval for Italy, Proceedings of Building Simulation Application – 1st IBPSA – Italy conference, Bolzano, Italy, January 30 – February 1 (2013).

[22] WMO (World Meteorological Organization), Guide to Meteorological Instruments and Methods of Observation – WMO–No. 8, World Meteorological Organization, Geneva, Switzerland, (2008).

DOI: 10.1093/law:epil/9780199231690/e577

[23] A. Prada, Energy Performance of Buildings: Modeling of Dynamic Summer Behavior, PhD thesis, University of Trento, Trento, Italy, (2012).

[24] CEN (European Committee for Standardization), EN ISO 13790:2008 – Energy Performance of Buildings – Calculation of Energy Use for Space Heating and Cooling, European Committee for Standardization, Brussels, Belgium, (2008).

[25] UNI (Ente Nazionale Italiano di Normazione), UNI/TS 11300-1:2014 – Energy Performance of Buildings Part 1: Evaluation of Energy Need for Space Heating and Cooling, Ente Nazionale Italiano di Normazione, Milan, Italy, (2014).

[26] CEN (European Committee for Standardization), EN ISO 6946:2007 – Building Components and Building Elements. Thermal Resistance and Thermal Transmittance. Calculation Methods, European Committee for Standardization, Brussels, Belgium, (2007).

DOI: 10.3403/30313347