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Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building

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  • van Hooff, T.
  • Blocken, B.
  • Timmermans, H.J.P.
  • Hensen, J.L.M.

Abstract

Both new and existing buildings need to be adapted to climate change, in order to keep providing a comfortable and healthy indoor climate. Preferably, the adaptation measures applied at the building level scale do not require additional energy (i.e. passive measures). Previous studies showed that passive climate change adaptation measures can have a positive effect on thermal comfort in summer and its shoulder seasons in non-air-conditioned residential buildings. In this paper, the effect of these passive climate adaptation measures – applied at building component level – on the cooling and heating energy demand of a terraced house is analyzed using building energy simulations. It is shown that for this particular case the required cooling energy can be limited to a large extent (59–74%) when external solar shading or additional natural ventilation is applied. In addition, it is shown that for a well-insulated terraced house the energy cost for heating is not strongly affected by the application of passive climate change adaptation measures.

Suggested Citation

  • van Hooff, T. & Blocken, B. & Timmermans, H.J.P. & Hensen, J.L.M., 2016. "Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building," Energy, Elsevier, vol. 94(C), pages 811-820.
    • Handle: RePEc:eee:energy:v:94:y:2016:i:c:p:811-820
    DOI: 10.1016/j.energy.2015.11.036
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    13. Carmen María Calama-González & Ángel Luis León-Rodríguez & Rafael Suárez, 2019. "Indoor Air Quality Assessment: Comparison of Ventilation Scenarios for Retrofitting Classrooms in a Hot Climate," Energies, MDPI, vol. 12(24), pages 1-20, December.
    14. Chen, Xi & Yang, Hongxing, 2018. "Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China," Applied Energy, Elsevier, vol. 215(C), pages 145-158.
    15. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    16. Mutschler, Robin & Rüdisüli, Martin & Heer, Philipp & Eggimann, Sven, 2021. "Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake," Applied Energy, Elsevier, vol. 288(C).
    17. Samuelson, Holly W. & Baniassadi, Amir & Gonzalez, Pablo Izaga, 2020. "Beyond energy savings: Investigating the co-benefits of heat resilient architecture," Energy, Elsevier, vol. 204(C).
    18. Huang, Junchao & Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2018. "Numerical investigation of a novel vacuum photovoltaic curtain wall and integrated optimization of photovoltaic envelope systems," Applied Energy, Elsevier, vol. 229(C), pages 1048-1060.
    19. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
    20. Toparlar, Y. & Blocken, B. & Maiheu, B. & van Heijst, G.J.F., 2018. "Impact of urban microclimate on summertime building cooling demand: A parametric analysis for Antwerp, Belgium," Applied Energy, Elsevier, vol. 228(C), pages 852-872.

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