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Research on thermal conditions in ventilated large space building

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the paper was to verify whether it is possible to predict thermal indoor environment in an industrial facility, characterized by large cubature and significant heat sources using a computational fluid dynamics (CFD) technique. For this purpose, thermal imaging measurements were carried out to obtain boundary conditions, followed by numerical simulations of the airflow using the Ansys CFX software. Direct results of temperature and velocity distribution of air were analyzed for two different cases. The possibility of reducing the supply airflow rate without affecting either technology safety or thermal comfort was examined. The results of calculations can be helpful for improving the energy efficiency of the tested object by indicating the optimal operating modes for given operating conditions of the production hall.
Rocznik
Strony
169--178
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
  • Faculty of Energy and Environmental Engineering, The Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Gabriel Miczka Przedsiębiorstwo, Jasna 31B, 44-112 Gliwice, Poland
Bibliografia
  • [1] Liang, C., Shao, X., & Li, X. (2017). Energy saving potential of heat removal using natural cooling water in the top zone of buildings with large interior spaces. Building and Environment, 124, 323-335.
  • [2] Heiselberg, P., Murakami, S., & Roulet, C.-A. (1998). Ventilation of Large Spaces in Buildings: Analysis and Prediction Techniques. Energy Conservation in Buildings and Community Systems, IEA Annex 26: Energy Efficient Ventilation of Large Enclosures, Denmark.
  • [3] Moser, A. (1998). Technical Synthesis Report, IEA Annex 26: Energy Efficient Ventilation of Large Enclosures.
  • [4] Wang, H., Huang, C., Cui, Y., & Zhang, Y. (2018). Experimental study on the characteristics of secondary airflow device in a large enclosed space building. Energy & Buildings, 166, 347-357.
  • [5] Rohdin, P., & Moshfegh, B. (2007). Numerical predictions of indoor climate in large industrial premises. A comparison between different k- models supported by field measurements. Building and Environment, 42, 3872-3882.
  • [6] Tomczak, I. (2013). Wentylacja i ogrzewanie hal magazynowych i produkcyjnych (Ventilation and heating of storage and production halls). Chłodnictwo i Klimatyzacja, 11, 52-55.
  • [7] Lipska, B., Palmowska, A., Ciuman, P., & Koper, P. (2015). Modelowanie numeryczne CFD w badaniach i projektowaniu rozdziału powietrza w pomieszczeniach wentylowanych (Numerical modelling CFD in the research and design of air distribution in ventilated rooms). INSTAL, 3, 33-43.
  • [8] Miczka, G. (2003). Diagnostyka termograficzna. Przegląd zastosowań. (Thermographic diagnosis. Application overview) Wydanie 1/03, Gabriel Miczka Przedsiębiorstwo.
  • [9] Palmowska, A., & Lipska, B., (2016). Experimental study and numerical prediction of thermal and humidity conditions in the ventilated ice rink arena. Building and Environment, 108, 171-182.
  • [10] Nishioka, T., Ohtaka, K., Hashimoto, N., & Onojima, H. (2000).Measurement and evaluation of the indoor thermal environment in a large domed stadium. Energy & Buildings, 32, 217-223.
  • [11] Wang, H., Chen, H., Cui, Y., Jia, X. (2015). Research on a Secondary Airflow-Relay System to Improve Ventilation Performance of Nozzle Supply in Large Space Buildings. Procedia Engineering, 121, 816-823.
  • [12] Song, J., Meng, X. (2015). The Improvement of Ventilation Design in School Buildings Using CFD Simulation. Procedia Engineering, 121, 1475-1481.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-242cdb3a-eec4-4a1e-a801-3c1bb68183f4
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