October 2008 to December 2010
Prof Vic Hanby, De Montfort University
Aim: To develop and implement methodologies for using probabilistic climate projections (UKCP09) in building simulation and other related analytical procedures.
Objectives:
- The development of methodologies for sampling from the PDFs of climate variables and transformation of these data into hourly time-series data (using the UKCP09 Weather Generator) suitable for dynamic building thermal models, and tabular information suitable for hand calculation methods.
- Find effective (computationally efficient) methods for carrying out building analysis procedures which take advantage of the probabilistic nature of the climate scenarios.
- Using case studies, demonstrate the potential usefulness of probabilistic methods in comparison with the conventional stationary climate, deterministic approach.
- Show how the outcomes of the research can be used for risk-based decision making in the design and refurbishment of buildings and heating/cooling plant.
April 2011 Conference output:
- PROCLIMATION presentation (pdf, 2.5 MB)
September 2010 Joint stakeholder/researcher forum:
- PROCLIMATION poster (pdf, 160 KB)
- S. Th. Smith and V. I. Hanby. Probabilistic Climate Projections Influencing Future Weather Years for Energy Modelling. 8th European Conference of Applied Climatology, Sept 2010.
- S. Th. Smith and V. I. Hanby. Poster – Probabilistic Climate Projections Influencing Future Weather Years for Energy Modelling. 8th European Conference of Applied Climatology, Sept 2010.
- V. I. Hanby, S. Th. Smith, C Harpham. The potential for the future use of evaporative cooling in the UK using probabilistic climate projections. CIB World Congress, May 2010.
- S. Th. Smith, C. M. Goodess, J. N. Hacker, V. I. Hanby, C. Harpham, P. Jones, and A. J. Wright. Influence of probabilistic climate projections on building energy simulation. CISBAT Conference 2009.
- UKCP09 case study – an example of how UKCP09 data can be used to aid adaptation in the built environment.
