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A case study on energy consumption and overheating for a UK industrial building with rooflights

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  • Wang, Xiaoxin
  • Kendrick, Christopher
  • Ogden, Raymond
  • Walliman, Nicholas
  • Baiche, Bousmaha

Abstract

Rooflights have become the common installations for industrial buildings to meet both the human health requirements for natural light and the need to save artificial lighting energy, especially for retail or distribution sheds that have big roof to floor area ratios and limitations of using glazing on side elevations. Since almost all of these buildings normally operate during daytime, an opportunity exists to save lighting energy by fitting automatic artificial lighting control. However, due to solar gains through the rooflights, the buildings are vulnerable to summer overheating. If overheating occurs regularly or over sustained periods, it will lead to the need for mechanical cooling, which inevitably results in more operational energy consumption in addition to the initial installation cost. To remedy this potential problem, natural ventilation through ridge openings is explored in this paper because it consumes almost no extra operational energy. Thermal modelling is therefore implemented with focus on influences of lighting control on energy consumption and effects of natural ventilation on reducing overheating. The modelling results indicate that lighting control can save lighting energy by 70% and the use of both ridge ventilation and lighting control can reduce overheating hours considerably, as internal heat is dissipated through the ridge openings and lighting heat gains are cut. In addition, converted from lighting and heating energy used, the overall CO2 reduction can reach 45% when both lighting control and ridge ventilation are applied. The findings from the study would encourage the use of rooflights for industrial buildings and would provide guidance on how to save operational energy while ensuring the thermal comfort inside the buildings.

Suggested Citation

  • Wang, Xiaoxin & Kendrick, Christopher & Ogden, Raymond & Walliman, Nicholas & Baiche, Bousmaha, 2013. "A case study on energy consumption and overheating for a UK industrial building with rooflights," Applied Energy, Elsevier, vol. 104(C), pages 337-344.
  • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:337-344
    DOI: 10.1016/j.apenergy.2012.10.047
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    References listed on IDEAS

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    1. Chwieduk, Dorota A., 2009. "Recommendation on modelling of solar energy incident on a building envelope," Renewable Energy, Elsevier, vol. 34(3), pages 736-741.
    2. De Herde, A. & Nihoul, A., 1994. "Overheating and daylighting in commercial buildings," Renewable Energy, Elsevier, vol. 5(5), pages 917-919.
    3. Roberts, Simon, 2008. "Effects of climate change on the built environment," Energy Policy, Elsevier, vol. 36(12), pages 4552-4557, December.
    4. Amato, U. & Coluzzi, B. & Cuomo, V. & Serio, C. & Troise, G., 1984. "Effects of thermal control and of passive solar elements on the dynamic behaviour of a building," Applied Energy, Elsevier, vol. 17(4), pages 263-282.
    5. Jenkins, David & Newborough, Marcus, 2007. "An approach for estimating the carbon emissions associated with office lighting with a daylight contribution," Applied Energy, Elsevier, vol. 84(6), pages 608-622, June.
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    Cited by:

    1. Hye Yeon Kim & Hae Jin Kang, 2016. "A Study on Development of a Cost Optimal and Energy Saving Building Model: Focused on Industrial Building," Energies, MDPI, vol. 9(3), pages 1-19, March.
    2. Gourlis, Georgios & Kovacic, Iva, 2017. "Passive measures for preventing summer overheating in industrial buildings under consideration of varying manufacturing process loads," Energy, Elsevier, vol. 137(C), pages 1175-1185.
    3. Brinks, Pascal & Kornadt, Oliver & Oly, René, 2016. "Development of concepts for cost-optimal nearly zero-energy buildings for the industrial steel building sector," Applied Energy, Elsevier, vol. 173(C), pages 343-354.
    4. Ling-Chin, J. & Taylor, W. & Davidson, P. & Reay, D. & Nazi, W.I. & Tassou, S. & Roskilly, A.P., 2019. "UK building thermal performance from industrial and governmental perspectives," Applied Energy, Elsevier, vol. 237(C), pages 270-282.
    5. Faustino Patiño-Cambeiro & Guillermo Bastos & Julia Armesto & Faustino Patiño-Barbeito, 2017. "Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation," Energies, MDPI, vol. 10(7), pages 1-17, July.
    6. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.

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