Skip to main content
Log in

Be active and consume less—the effect of venetian blind use patterns on energy consumption in single-family houses

  • Original Article
  • Published:
Energy Efficiency Aims and scope Submit manuscript

Abstract

The purpose of this work is to improve the understanding of the role of venetian blinds as a part of a building energy system. This is valuable for both designing automatic control of blinds and advising occupants towards energy-efficient use of manual blinds. A new strategy to control venetian blinds developed in the work aims at minimizing energy consumption by controlling blinds in a way that takes into account not only the effect of blinds on both solar transmission but also the effect on heat loss through windows. Annual computer simulations were performed to calculate the effect of blind use patterns on heating, cooling and lighting demand in four European climates in three single-family houses. The results show that the use patterns of blinds have a significant effect on energy consumption and that the new control strategy leads to lowest total energy consumption in all of the simulated buildings in all four climates. In contrast, a completely passive strategy—although very common in reality—consumes the most; depending on the climate and window size, total consumption is highest either when the blinds remain continually lowered and closed or continually raised. Occupants should be advised about the potential to save energy by changing blind use behaviours, also in the heating season.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Behavioural Insights Team. (2011). Behaviour change and energy use. Energy, 1(July), 35. http://www.cabinetoffice.gov.uk/resource-library/behaviour-change-and-energy-use

  • Bennet, I., O’Brien, W., & Gunay, H. B. (2014). Effect of window blind use in residential buildings: observation and simulation study. eSim. http://www.ibpsa.org/proceedings/eSimPapers/2014/3A.3.pdf

  • Brager, G. S., Paliaga, G., & de Dear, R. (2004). Operable windows, personal control and occupant comfort. ASHRAE Transactions, 110(2), 17–35.

    Google Scholar 

  • D2 National Building Code of Finland, Indoor Climate and Ventilation of Buildings, Regulations and Guidelines. (2003). Finland: ministry of the environment, Housing and building department.

  • Dahlbom, B., Greer, H., Egmond, C., & Jonkers, R. (2009). Changing energy behaviour—guidelines for Behavioural Change Programmes. Madrid.

  • De Almeida, A., Fonseca, P., Schlomann, B., & Feilberg, N. (2011). Characterization of the household electricity consumption in the EU, potential energy savings and specify policy recommendations. Energy and Buildings, 43(8), 1884–1894. https://doi.org/10.1016/j.enbuild.2011.03.027.

    Article  Google Scholar 

  • EQUA Simulation AB. (2013). IDA Indoor Climate and Energy. User Manual. Version 4.5. EQUA Simulation AB.

  • Garnet, J. M., Fraser, R. A., Sullivan, H. F., & Wright, J. L. (1995). Effect of internal blinds on window center-glass U-values. In Window Innovations ‘95 (pp. 273–279). Toronto, Canada.

  • Guillemin, A., & Morel, N. (2001). An innovative lighting controller integrated in a self-adaptive building control system. Energy and Buildings, 33(5), 477–487 http://www.sciencedirect.com/science/article/B6V2V-42BSHXM-7/2/e1c9130ef086da1b2795f20df3f2f49f.

    Article  Google Scholar 

  • Hemmilä, K. (2014). Sälekaihtimien vaikutus ikkunan ominaisuuksiin. Lasin maailma, (4), (4) 12–17.

  • Hemmilä, K., & Heimonen, I. (2005). Suomalaisten ikkunoiden kestävyys [durability of Finnish windows]. Espoo, Finland: VTT Tiedotteita, Research Notes 2285.

  • ISO 15099. (2003). Thermal performance of windows. Geneva: Doors and Shading Devices.

    Google Scholar 

  • Jaakkola, J. J. K., Heinonen, O. P., & Seppänen, O. (1989). Sick building syndrome, sensation of dryness and thermal comfort in relation to room temperature in an office building: need for individual control of temperature. Environment International, 15(1–6), 163–168 http://www.sciencedirect.com/science/article/B6V7X-48XDSGJ-1B6/2/bc545d46114f18df4d035d84f993eb1d.

    Article  Google Scholar 

  • Karjalainen, S. (2013). Should it be automatic or manual—the occupant’s perspective on the design of domestic control systems. Energy and Buildings, 65, 119–126. https://doi.org/10.1016/j.enbuild.2013.05.043.

    Article  Google Scholar 

  • Karjalainen, S. (2016). Should we design buildings that are less sensitive to occupant behaviour? A simulation study of effects of behaviour and design on office energy consumption. Energy Efficiency, 9(6), 1257–1270. https://doi.org/10.1007/s12053-015-9422-7.

    Article  Google Scholar 

  • Kirimtat, A., Koyunbaba, B. K., Chatzikonstantinou, I., & Sariyildiz, S. (2016). Review of simulation modeling for shading devices in buildings. Renewable and Sustainable Energy Reviews, 53, 23–49. https://doi.org/10.1016/j.rser.2015.08.020.

    Article  Google Scholar 

  • Konstantoglou, M., & Tsangrassoulis, A. (2016). Dynamic operation of daylighting and shading systems: a literature review. Renewable and Sustainable Energy Reviews, 60, 268–283. https://doi.org/10.1016/j.rser.2015.12.246.

    Article  Google Scholar 

  • Laitinen, A., Shemeikka, J., & Klobut, K. (2005). RTE-pientalon määrittely (2.0.). VTT Rakennus- ja yhdyskuntatekniikka.

  • Leaman, A., & Bordass, B. (2000). Productivity in buildings: the “killer” variables. In D. Clements-Croome (Ed.), Creating the productive workplace (pp. 167–191). London and New York: E & FN SPON.

  • Lopes, M. A. R., Antunes, C. H., & Martins, N. (2012). Energy behaviours as promoters of energy efficiency: a 21st century review. Renewable and Sustainable Energy Reviews, 16(6), 4095–4104. https://doi.org/10.1016/j.rser.2012.03.034.

    Article  Google Scholar 

  • Luo, M., Cao, B., Zhou, X., Li, M., Zhang, J., Ouyang, Q., & Zhu, Y. (2014). Can personal control influence human thermal comfort? A field study in residential buildings in China in winter. Energy and Buildings, 72(0), 411–418. https://doi.org/10.1016/j.enbuild.2013.12.057.

    Article  Google Scholar 

  • Meerbeek, B., te Kulve, M., Gritti, T., Aarts, M., van Loenen, E., & Aarts, E. (2014). Building automation and perceived control: a field study on motorized exterior blinds in Dutch offices. Building and Environment, 79, 66–77. https://doi.org/10.1016/j.buildenv.2014.04.023.

    Article  Google Scholar 

  • Meerbeek, B., de Bakker, C., de Kort, Y., van Loenen, E., & Bergman, T. (2016). Automated blinds with light feedback to increase occupant satisfaction and energy saving. Building and Environment, 103, 70–85. https://doi.org/10.1016/j.buildenv.2016.04.002.

    Article  Google Scholar 

  • O’Brien, W., Kapsis, K., & Athienitis, A. K. (2013). Manually-operated window shade patterns in office buildings: a critical review. Building and Environment, 60(0), 319–338. https://doi.org/10.1016/j.buildenv.2012.10.003.

    Article  Google Scholar 

  • Palmer, J., Terry, N., & Pope, P. (2012). How much energy could be saved by making small changes to everyday household behaviours? Cambridge Architectural Research.

  • Parasuraman, R., & Riley, V. (1997). Humans and automation: use, misuse, disuse, abuse. Human Factors: The Journal of the Human Factors and Ergonomics Society., 39, 230–253. https://doi.org/10.1518/001872097778543886.

    Article  Google Scholar 

  • Reinhart, C. F., & Voss, K. (2003). Monitoring manual control of electric lighting and blinds. Lighting Research and Technology, 35(3), 243–260.

    Article  Google Scholar 

  • Sadeghi, S. A., Karava, P., Konstantzos, I., & Tzempelikos, A. (2016). Occupant interactions with shading and lighting systems using different control interfaces: A pilot field study. Building and Environment, 97, 177–195. https://doi.org/10.1016/j.buildenv.2015.12.008

  • Toftum, J. (2010). Central automatic control or distributed occupant control for better indoor environment quality in the future. Building and Environment, 45(1), 23–28. https://doi.org/10.1016/j.buildenv.2009.03.011.

    Article  Google Scholar 

  • Van Den Wymelenberg, K. (2012). Patterns of occupant interaction with window blinds: a literature review. Energy and Buildings, 51(0), 165–176. https://doi.org/10.1016/j.enbuild.2012.05.008.

    Article  Google Scholar 

  • Veitch, Jennifer A.; Mancini, Sandra; Galasiu, Anca D.; Laouadi, A. (2013). Survey on Canadian households’ control of indoor climate. Ottawa, Canada: National Research Council Canada. doi:https://doi.org/10.4224/21268895

  • Ye, P. (1997). Effect of venetian blinds on overall heat transfer through window systems: a finite element numerical solution. Kingston: Queen’s University.

    Google Scholar 

Download references

Acknowledgments

The work reported here has been supported by the Evidence project funded by the Academy of Finland. I thank Kari Hemmilä for his valuable comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sami Karjalainen.

Ethics declarations

Conflict of interest

The author declares that he has no conflict of interest.

Additional information

The work is original. The information reported in the paper is accurate according to the best knowledge of the author. The paper has not been and will not be submitted simultaneously to other journals.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karjalainen, S. Be active and consume less—the effect of venetian blind use patterns on energy consumption in single-family houses. Energy Efficiency 12, 787–801 (2019). https://doi.org/10.1007/s12053-018-9693-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12053-018-9693-x

Keywords

Navigation