Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Cui, J (2015)
Publisher: Nottingham Trent University: CADBE
Languages: English
Types: Part of book or chapter of book
This paper is based on the low-cost approaches and transferable techniques that were applied in a PhD reserch project on energy-related occupancy activities. The strengths of qualitative and quantitative research strategies were combined for the study of this socio-technical research topic. Long-term field measurement was conducted for data acquisition using self-configured monitoring schemes. Case study was selected as the research approach. Building characteristics and household features in each case study group were purposefully selected to deploy same-standard monitoring schemes. Comparable monitoring results were pre-processed following identical procedures to implement the selected data analysis methods. The inspection results provided the researcher and the associated project partners with a novel perspective to interpret the difference in actual energy consumption and indoor environment within and between the case study groups. The research methodology and moitoring approach are covered in this paper that also presents the macro-scale monitoring results of energy use and indoor environment in two case study groups. The micro-scale presentation and algorithm-based examination will be covered in other academic papers. This paper demonstrates the huge potential for some commonly applied building assessment methods to be improved by objectively considering currently overlooked aspects, such as the low-tech design and construction of heavy-weight thermal mass houses and the largely varied occupancy activities. Future work relating to the comparison of actual monitoring data with simulation results is pointed out at the end of the paper.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Bryman, A., 2012. Social research methods. 4th ed. Oxford: Oxford University Press.
    • Department of Energy & Climate Change (DECC), 2014b. Energy consumption in the UK (ECUK): domestic data tables 2014 update. [online] Available at: < https://www.gov.uk/government/publications/energy-consumption-in-the-uk> [Accessed 1 August 2014].
    • Emery, A. F. and Kippenhan, C. J. 2006, A long term study of residential home heating consumption and the effect of occupant behavior on homes in the pacific northwest constructed according to improved thermal standards. Energy, 31(5), pp.677-693.
    • Energy Saving Trust (EST), 2009. Evaluating energy and carbon performance in the 'Retrofit for the Future' demonstrator projects. [pdf] London: EST. Available at < http://www.energysavingtrust.org.uk/Publications2/Housing-professionals/Monitoring/ESTTSB-Retrofit-for-the-Future-monitoring-guidance-document > [Accessed 1 May 2014].
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article