10.1007/s40095-022-00476-7

Heat resilience of apartment buildings in Korea and Germany: comparison of building design and climate

  1. Leibniz Institute of Ecological Urban and Regional Development, Dresden, 01217, DE
Cover Image

Published in Issue 2022-02-06

How to Cite

Schünemann, C., Son, S., & Ortlepp, R. (2022). Heat resilience of apartment buildings in Korea and Germany: comparison of building design and climate. International Journal of Energy and Environmental Engineering, 13(3 (September 2022). https://doi.org/10.1007/s40095-022-00476-7

HTML views: 9

PDF views: 56

Abstract

Abstract A major concern in climate adaptation is to enhance the heat resilient design of residential buildings. However, recent scientific literature addressing overheating analysis is only focussing on individual countries. In this article, we discuss how different design of representative apartment buildings in two countries influences the overheating risk or cooling demand and what conclusions can be drawn from it. This is done for a low-rise apartment building located in Germany and a high-rise building in South Korea applying building performance simulation. Both countries are located in the moderate climate zone, but regional differences in frequency of tropical nights and radiant summer days lead to significant differences in overheating intensity (800 Kh/a for the German and 5100 Kh/a for the Korean) or cooling demand (1800 kWh for the German to 1300 kWh for the Korean). The lower cooling demand but much higher overheating intensity of the Korean building compared to the German is mainly caused by the different solar heat gain due to the glazed balcony design of the Korean building where these balcony rooms are not actively cooled. On the contrary, the common internal façade insulation of Korean buildings results in a higher overheating risk compared to the German building and in addition the lower potential of passive cooling by natural ventilation due to the necessity of insect screens in Korea. The large effect of implementing heat adaptation measures on overheating risk reduction or cooling demand (up to 90%) clearly demonstrates that both buildings are far away from a heat resilient design and that heat adaptation measures can address both climate change adaptation and mitigation.

Keywords

  • Heat resilience,
  • Overheating,
  • Cooling demand,
  • Apartment buildings,
  • Climate,
  • Building performance simulation

References

  1. IPCC.: IPCC-Report AR5 climate change 2014: impacts, adaptation, and vulnerability—part B regional aspects (Intergovernmental Panel on Climate Change). IPCC (2014)
  2. Manoli (2019) Magnitude of urban heat islands largely explained by climate and population 573(7772) (pp. 55-60) https://doi.org/10.1038/s41586-019-1512-9
  3. Mohajerani et al. (2017) The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete (pp. 522-538) https://doi.org/10.1016/j.jenvman.2017.03.095
  4. Head (2018) WHO-World Health Organization
  5. Toulemon and Barbieri (2008) The mortality impact of the August 2003 heat wave in France: investigating the 'harvesting' effect and other long-term consequences 62(1) (pp. 39-53) https://doi.org/10.1080/00324720701804249
  6. Adekunle and Nikolopoulou (2016) Thermal comfort, summertime temperatures and overheating in prefabricated timber housing (pp. 21-35) https://doi.org/10.1016/j.buildenv.2016.04.001
  7. Baborska-Narożny et al. (2016) Overheating in retrofitted flats: occupant practices, learning and interventions 45(1–2) (pp. 40-59)
  8. Fosas (2018) Mitigation versus adaptation: does insulating dwellings increase overheating risk? (pp. 740-759) https://doi.org/10.1016/j.buildenv.2018.07.033
  9. Grey (2017) The short-term health and psychosocial impacts of domestic energy efficiency investments in low-income areas: a controlled before and after study 17(1) https://doi.org/10.1186/s12889-017-4075-4
  10. Jenkins (2011) Probabilistic climate projections with dynamic building simulation: predicting overheating in dwellings 43(7) (pp. 1723-1731) https://doi.org/10.1016/j.enbuild.2011.03.016
  11. Lomas and Porritt (2016) Overheating in buildings: lessons from research 45(1–2) (pp. 1-18)
  12. Mavrogianni (2016) Inhabitant actions and summer overheating risk in London dwellings 45(1–2) (pp. 119-142)
  13. Mavrogianni (2015) Urban social housing resilience to excess summer heat 43(3) (pp. 316-333) https://doi.org/10.1080/09613218.2015.991515
  14. Mavrogianni (2012) Building characteristics as determinants of propensity to high indoor summer temperatures in London dwellings (pp. 117-130) https://doi.org/10.1016/j.buildenv.2011.12.003
  15. Mourkos (2020) Assessing the application and limitations of a standardised overheating risk-assessment methodology in a real-world context https://doi.org/10.1016/j.buildenv.2020.107070
  16. Mourkos (2020) (2020) The impact of accurately modelling corridor thermodynamics in the overheating risk assessment of multi-residential dwellings https://doi.org/10.1016/j.enbuild.2020.110302
  17. Mulville and Stravoravdis (2016) The impact of regulations on overheating risk in dwellings 44(5–6) (pp. 520-534) https://doi.org/10.1080/09613218.2016.1153355
  18. Patidar (2011) Statistical techniques to emulate dynamic building simulations for overheating analyses in future probabilistic climates 4(3) (pp. 271-284) https://doi.org/10.1080/19401493.2010.531144
  19. Petrou (2019) The summer indoor temperatures of the English housing stock: exploring the influence of dwelling and household characteristics 40(4) (pp. 492-511) https://doi.org/10.1177/0143624419847621
  20. Porritt (2012) Ranking of interventions to reduce dwelling overheating during heat waves (pp. 16-27) https://doi.org/10.1016/j.enbuild.2012.01.043
  21. Symonds (2016) Overheating in English dwellings: comparing modelled and monitored large-scale datasets 45(1–2) (pp. 195-208)
  22. Taylor (2014) The relative importance of input weather data for indoor overheating risk assessment in dwellings (pp. 81-91) https://doi.org/10.1016/j.buildenv.2014.03.010
  23. Tink (2018) Measuring and mitigating overheating risk in solid wall dwellings retrofitted with internal wall insulation (pp. 247-261) https://doi.org/10.1016/j.buildenv.2018.05.062
  24. Vellei, M. et al.: Investigating the overheating risk in refurbished social housing. In: Proceedings of 9th Windsor Conference: Making Comfort Relevant (2016)
  25. Guo (2020) Evaluation of the summer overheating phenomenon in reinforced concrete and cross laminated timber residential buildings in the cold and severe cold regions of China 13(23) https://doi.org/10.3390/en13236305
  26. Ali and Szalay (2020) Overview and analysis of the overheating effect in modern sudanese buildings 15(3) (pp. 208-219) https://doi.org/10.1556/606.2020.15.3.20
  27. Laouadi et al. (2020) A new methodology of evaluation of overheating in buildings https://doi.org/10.1016/j.enbuild.2020.110360
  28. Gamero-Salinas et al. (2020) Overheating risk assessment of different dwellings during the hottest season of a warm tropical climate https://doi.org/10.1016/j.buildenv.2020.106664
  29. Cho et al. (2014) Viability of exterior shading devices for high-rise residential buildings: case study for cooling energy saving and economic feasibility analysis (pp. 771-785) https://doi.org/10.1016/j.enbuild.2014.07.092
  30. Lee (2017) Cooling energy reduction effect of parallel double-window system operation in residential buildings in South Korea 28(5) (pp. 636-658) https://doi.org/10.1177/1420326X17707564
  31. Eikemeier, S., Wimmer, R., Mahdavi, A.: Prevention of overheating risk: assessment of a building project with lightweight construction in Austria. In: Proceedings of the enviBUILD 2019, p. 57–62 (2020)
  32. Hodzic, N., et al.: Overheating mitigation in buildings: a computational exploration of the potential of phase change materials
  33. .
  34. In: MATEC Web of Conferences, vol.
  35. 282
  36. (2019)
  37. Congedo et al. (2020) Walls comparative evaluation for the thermal performance improvement of low-rise residential buildings in warm mediterranean climate https://doi.org/10.1016/j.jobe.2019.101059
  38. Ayikoe Tettey and Gustavsson (2020) Energy savings and overheating risk of deep energy renovation of a multi-storey residential building in a cold climate under climate change https://doi.org/10.1016/j.energy.2020.117578
  39. Ascione (2015) Summer overheating in a new multi-storey building in Berlin: numerical study for improving the indoor microclimate (pp. 1305-1314) https://doi.org/10.1016/j.egypro.2015.07.195
  40. Schünemann (2020) Mitigation and adaptation in multifamily housing: overheating and climate justice 1(1) (pp. 36-55) https://doi.org/10.5334/bc.12
  41. BBR.:
  42. Testreferenzjahre von Deutschland für mittlere, extreme und zukünftige Witte-rungsverhältnisse
  43. . Bundesamtes für Bauwesen und Raumordnung (BBR) (2014)
  44. ASHRAE.: ASHRAE IWEC2 Weather File for SEOUL (KOR_SEOUL_471080_IW2). American society of heating, refrigerating and air-conditioning engineers (2011)
  45. DWD.:Climate Data Center DWD. [cited 2020 10–05]; Available from:
  46. https://www.dwd.de/DE/klimaumwelt/cdc/cdc_node.html
  47. (2011)
  48. KMA.:Climate Information for Seoul, Korea. Available from:
  49. https://www.kma.go.kr/eng/weather/climate/worldclimate.jsp
  50. (2020)
  51. Destatis,
  52. Bautätigkeit und Wohnungen - Bestand an Wohnungen
  53. . 2018, Statistisches Bundesamt (Destatis): Germany.
  54. Destatis.:
  55. Bevölkerung nach Geschlecht und Staatsangehörigkeit
  56. . Available from:
  57. https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Bevoelkerung/Bevoelkerungsstand/Tabellen/zensus-geschlecht-staatsangehoerigkeit-2019.html
  58. (2019)
  59. KOSIS.: Statistics Korea 2018: Population Census 2018. 2018. Available from:
  60. http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1JC1521&conn_path=I3
  61. .
  62. KOSIS.: Population Index of South Korea for the year 2019. 2021. Available from:
  63. https://kosis.kr/visual/nsportalStats/index.do?menuId=all
  64. .
  65. Statistica.:
  66. Wohnfläche je Einwohner in Wohnungen in Deutschland von 1991 bis 2019
  67. . Available from:
  68. https://de.statista.com/statistik/daten/studie/36495/umfrage/wohnflaeche-je-einwohner-in-deutschland-von-1989-bis-2004/
  69. (2019)
  70. Statistik.
  71. Regionalstatistik Berlin-Brandenburg
  72. . Available from:
  73. https://www.statistik-berlin-brandenburg.de/regionalstatistiken/r-gesamt_neu.asp?Ptyp=410&Sageb=31000&creg=BBB&anzwer=9
  74. (2019)
  75. Bae and Chun (2009) Research on seasonal indoor thermal environment and residents' control behavior of cooling and heating systems in Korea 44(11) (pp. 2300-2307) https://doi.org/10.1016/j.buildenv.2009.04.003
  76. MOLIT.:
  77. Detailed guidelines for preventing condensation in apartment houses
  78. . 2014; Available from:
  79. http://www.molit.go.kr/USR/policyData/m_34681/dtl.jsp?id=3708
  80. (2014)
  81. Kim, J. Y., Kim, Y. I., Kim, S. H.: Study of apartment terrace condensation characteristics with respect to locations (2019)
  82. Song and Choi (2012) Effect of building regulation on energy consumption in residential buildings in Korea 16(1) (pp. 1074-1081) https://doi.org/10.1016/j.rser.2011.10.008
  83. Ihm (2012) Impact of window selection on the energy performance of residential buildings in South Korea (pp. 1-9) https://doi.org/10.1016/j.enpol.2011.08.046
  84. Kittas (2008) The impact of insect screens and ventilation openings on the greenhouse microclimate 51(6) (pp. 2151-2165) https://doi.org/10.13031/2013.25396
  85. EQUA,
  86. IDA indoor climate and energy 4.8 SP1
  87. . 2018, EQUA Simulation AB: Stockholm, Sweden (2018)
  88. Schünemann et al. (2021) How window ventilation behaviour affects the heat resilience in multi-residential buildings https://doi.org/10.1016/j.buildenv.2021.107987
  89. CIBSE.: Technical memorandum 52: the limits of thermal comfort: avoiding overheating in European buildings (CIBSE TM52: 2013). 2013, London: the chartered institution of building services Engineers London (2013)
  90. CIBSE.: Guide A: Environmental design (CIBSE Guide A: 2015). 2015, London: the chartered institution of building services engineers London (2015)
  91. CIBSE.: Design methodology for the assessment of overheating risk in homes (CIBSE TM59: 2017), The chartered institution of building services engineers London, London (2017)
  92. DIN4108–2.:
  93. DIN 4108–2 Wärmeschutz und Energie-Einsparung in Gebäuden Teil 2: Mindestanforderungen an den Wärmeschutz (German Institute for Standardization)
  94. . 2013, Beuth Verlag GmbH: 10772 Berlin (2013)
  95. EN_15251.:
  96. DIN EN 15251–2007:
  97. Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics (2007)
  98. Vandentorren (2006) August 2003 heat wave in France: risk factors for death of elderly people living at home 16(6) (pp. 583-591) https://doi.org/10.1093/eurpub/ckl063
  99. Kuhn et al. (2001) Evaluation of overheating protection with sun-shading systems (pp. 59-74) https://doi.org/10.1016/S0038-092X(01)00017-2
  100. Ji et al. (2019) Dynamic thermal simulation of advanced natural ventilation in buildings: current and future usage, UK exemplar 16(4) (pp. 1-17)
  101. Mavrogianni (2014) The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor overheating risk in domestic environments (pp. 183-198) https://doi.org/10.1016/j.buildenv.2014.04.008
  102. Schünemann et al. (2021) Guidelines to calibrate a multi-residential building simulation model addressing overheating evaluation and residents’ influence 11(6) https://doi.org/10.3390/buildings11060242
  103. Schinke (2012) Damage estimation of subterranean building constructions due to groundwater inundation—the GIS-based model approach GRUWAD 12(9) (pp. 2865-2877) https://doi.org/10.5194/nhess-12-2865-2012
  104. Lee and Park (2019) Morphological transformation of building blocks of apartment complexes in busan 35(8) (pp. 3-14)
  105. Nguyen et al. (2012) An adaptive thermal comfort model for hot humid South-East Asia (pp. 291-300) https://doi.org/10.1016/j.buildenv.2012.03.021
  106. EN_15242,
  107. DIN 15242 (2007).
  108. : Ventilation for buildings—calculation methods for the determination of air flow rates in buildings including infiltration (2007)
  109. BMI.: Gesetz zur Einsparung von Energie und zur Nutzung erneuerbarer Energienzur Wärme- und Kälteerzeugung in Gebäuden (Gebäudeenergiegesetz–GEG). In: Bundesgesetzblatt Jahrgang 2020 2020, Bundesministerium des Innern, für Bau und Heimat: Bonn, Germany (2020)