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A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performance

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  • He, Jiang
  • Hoyano, Akira
  • Asawa, Takashi

Abstract

A building affects its surrounding environment, and conversely its indoor environment is influenced by its surroundings. In order to obtain a more accurate prediction of the indoor thermal environment, it is necessary to consider the interactions between the indoor and outdoor thermal environments. However, there is still a lack of numerical simulation tools available for predicting the interactions between indoor and outdoor microclimate that take into account the influences of outdoor spatial conditions (such as building forms and tree shapes) and various urban surface materials. This present paper presents a simulation tool for predicting the effect of outdoor thermal environment on building thermal performance (heating/cooling loads, indoor temperature) in an urban block consisting of several buildings, trees, and other structures. The simulation tool is a 3D CAD-based design tool, which makes it possible to reproduce the spatial forms of buildings and constructed surface materials in detail. The outdoor thermal environment is evaluated in terms of external surface temperature and mean radiant temperature (MRT). Simulated results of these temperatures can be visualized on a color 3D display. Building heating/cooling loads and indoor air temperature (internal surface temperature) can also be simulated. In this study, a simulation methodology is described, and a sensitivity analysis is conducted for a wooden detached house under different outdoor conditions (building coverage, adjacent building height, surrounding with trees or no-trees). Simulation results show that the simulation tool developed in this study is capable of quantifying the influences of outdoor configurations and surface materials on both indoor and outdoor environments.

Suggested Citation

  • He, Jiang & Hoyano, Akira & Asawa, Takashi, 2009. "A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performance," Applied Energy, Elsevier, vol. 86(9), pages 1596-1605, September.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:9:p:1596-1605
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    11. Audi, Marc & Ali, Amjad, 2018. "Determinants of Environmental Degradation under the Perspective of Globalization: A Panel Analysis of Selected MENA Nations," MPRA Paper 85776, University Library of Munich, Germany.
    12. Ascione, Fabrizio & Bianco, Nicola & Rossi, Filippo de’ & Turni, Gianluca & Vanoli, Giuseppe Peter, 2012. "Different methods for the modelling of thermal bridges into energy simulation programs: Comparisons of accuracy for flat heterogeneous roofs in Italian climates," Applied Energy, Elsevier, vol. 97(C), pages 405-418.
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    16. Sukjin Jung & Seonghwan Yoon, 2017. "Deduction of Optimum Surface Design Factors for Enhancement of Outdoor Thermal Environment in a Micro-Scale Unit," Sustainability, MDPI, vol. 9(8), pages 1-26, August.
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    18. Paola Iodice & Nicola Massarotti & Alessandro Mauro, 2016. "Effects of Inhomogeneities on Heat and Mass Transport Phenomena in Thermal Bridges," Energies, MDPI, vol. 9(3), pages 1-21, February.
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    20. Frayssinet, Loïc & Merlier, Lucie & Kuznik, Frédéric & Hubert, Jean-Luc & Milliez, Maya & Roux, Jean-Jacques, 2018. "Modeling the heating and cooling energy demand of urban buildings at city scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2318-2327.
    21. 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.
    22. Han, Yilong & Taylor, John E. & Pisello, Anna Laura, 2017. "Exploring mutual shading and mutual reflection inter-building effects on building energy performance," Applied Energy, Elsevier, vol. 185(P2), pages 1556-1564.
    23. Omar, M.N. & Taha, A.T. & Samak, A.A. & Keshek, M.H. & Gomaa, E.M. & Elsisi, S.F., 2021. "Simulation and validation model of cooling greenhouse by solar energy (P V) integrated with painting its cover and its effect on the cucumber production," Renewable Energy, Elsevier, vol. 172(C), pages 1154-1173.
    24. Verbai, Zoltán & Kocsis, Imre & Kalmár, Ferenc, 2015. "Outdoor dry bulb heating design temperatures for Hungary," Energy, Elsevier, vol. 93(P2), pages 1404-1412.

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