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
Lannon, Simon Charles
Languages: English
Types: Doctoral thesis
Subjects: NA
Design tool approaches for investigating energy use at an urban scale have traditionally three problematic issues regarding their implementation: 1) overly simple simulation methods; 2) the complexity of managing large amounts of input data; 3) outcomes that are not easily visualised. My research aim in the papers within this collection was to investigate the issues regarding modelling the energy use of larger numbers of buildings using detailed simulations techniques.\ud This thesis brings together the papers to describe the research and case studies undertaken. It demonstrates the implementation of the new methods I have created including: hourly energy modelling at an urban scale; parametric analysis; pattern recognition and design analysis. The use of these methods and techniques is evident throughout the papers and combined outcomes show the possible shape of an early stage urban scale design tool. The methods have been explored through a series of international case studies.\ud The research described in this thesis has contributed to the development of energy modelling of domestic buildings at an urban scale. The work in the appended papers has examined the requirements for a design tool that shows it is possible to use dynamic simulation, with detailed data generated automatically in a visual environment. With these attributes the tools developed can be seen as design tools and as such the work has moved the modelling from simple simulation methods based on an inventory of the building stock to more complex techniques. This involves full dynamic simulation methods and parametric testing of scenarios that include building fabric, systems, renewable technologies and the temporal nature of retrofit.\ud Each one of the papers has been firmly based in case studies carried out in the UK, Middle East and China, ensuring that the methods used are transferable and applicable to problems of building in diverse climates.\ud The outcomes of the research within the papers show that detailed energy modelling can be incorporated into the design process at an early stage, giving guidance to the designer, yet not interfering with the detailed design of the project.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Anderson, B. R., Chapman P. F., Cutland N. G., Dickson C. Henderson G., Henderson J. H., Iles P. J., Kosmina L., and Shorrock L. D. 2001. BREDEM-12 Model Description, BRE. Garston, UK.
    • Baker, W., Preston, I. 2006. Targeting energy efficiency resources in Wales. Report to the Welsh Assembly Government, Centre for Sustainable Energy, Bristol.
    • BRE, 1998. The Government's Standard Assessment Procedure for EnergyRating of Dwellings. Building Research Establishment for DETR,Garston.
    • Carbon Trust, 2009, Building the future, today, CTC765, Carbon Trust, London
    • DECC 2011, DECC 2050 Pathways calculator, http://2050-calculator-tool.decc.gov.uk
    • Gandhi, K., Georgakaki, A., Kerr, N., Gouldson, A., Eames., M. 2012. Regional scale modelling on the potential of energy, cost and carbon emission savings from retrofit of low carbon measures in the Welsh domestic sector. 1st International Conference for Urban Sustainability and Resilience, 5-6 November 2012, UCL, London.
    • Gouldson, A., Kerr, N., Topi, C., Dawkins, E., Kuylenstierna, J., Pearce, R. 2012, The Economics of Low Carbon Cities. A Mini-Stern Review for the Leeds City Region. Centre for Low Carbon Futures, School of Earth and Environment, University of Leeds.
    • Hinnells M. Boardman, B., Layberry, R., Darby, S., Killip, G. 2007. The UK Housing Stock 2005- to 2050: Assumptions used in Scenarios and Sensitivity Analysis in UKDCM2. Environmental Change Institute, University of Oxford
    • Jones, P., Williams, J.L., and Lannon, S., 2000, Planning for a Sustainable City: an Energy and Environmental Prediction Model, Journal of Environmental Planning and Management, vol. 43, no. 6, pp. 855-872(18)
    • Jones, P.J., Patterson, J.L., Lannon, S 2007. Modelling the built environment at an urban scale-Energy and health impacts in relation to housing, Landscape and Urban Planning 83, 39- 49
    • NAEI. 2008. Data Warehouse, Mapped Emissions Data, 2008 Emission Maps, CO2 Emissions by energy users/suppliers - 2008, CO2 emissions by 1x1km: Crown copyright 2008.
    • Natarajan, S. and Levermore, G. J., 2007. Predicting future UK housing stock and carbon emissions. Energy Policy, 35 (11), pp. 5719-5727.
  • No related research data.
  • No similar publications.

Share - Bookmark

Funded by projects

Cite this article