It is well known that climate change will have a significant impact on UK building design and energy use. It is also known within the building science and architectural communities that the current weather files used for thermal modeling of buildings only represent average weather rather than heat waves or cold snaps. As was shown by the 14,000 deaths in Paris during the 2003 heat wave, this is a highly serious issue and there is the need to ensure future buildings are designed to deal with future weather, or extremes of current weather.
In addition, the current weather files used by the construction industry and building scientists divide the UK into only 14 regions, with, for example, the whole of the South West peninsular (including up-land areas) being assigned the coastal Plymouth weather file. It is known that this can easily lead to a 200% error in the estimation of annual energy demand. The scale of this error is such that it renders many of the dynamic simulations carried out by engineers questionable. This is unfortunate when simulation is used within the framework of the building regulations, but it is fatal when trying to use simulation to estimate how resilient a pre-existing building is, or the danger its vulnerable occupants might be in.
The aim of this project will be to see if a method can be devised that is capable of creating local weather from 2015 to 2080 covering the whole UK at a resolution of 5km, and to include within this files that represent various excursions from the mean: e.g. heat waves and cold snaps.
An interdisciplinary approach is envisaged with the project separated into six work packages:
WP1 We will use a method already published by the team together with the UKCP09 weather generator to produce current and future typical weather at a resolution of approximately 5km.
WP2 The work in the previous work package will initially require the creation of thousands of years of weather per site. Within these initial years will reside a large number of weather events of interest to the building scientist or engineer. These files will be used in computer models of 1200 differing architectures and building uses to identify what are the key drivers of weather variable coincidence that defines the likelihood of building system failure or thermal issues for occupants.
WP3 Having characterised which events best describe the stresses on a building, its occupants and systems in WP2. Event years (i.e. times series of weather data variables on a one hour time step that represent atypical hot, dry, cold and wet periods) will be created for the whole UK.
WP4 Having generated the event years, and simulations from the 1200 buildings, the two will be recombined to produce the first map of UK resilience to a changing climate. Although others have looked at the regional resilience of the built environment using average weather years, the concern is not about the response of building and occupants to such average time series, but to more extreme events.
WP5 Given the large number of files proposed, guidance will need to be given on which to use in practice, and how this might be expressed in the building regulations and other documentation.
We plan to use case studies as the main guidance tool. This will add greatly to their intellectual validity within the target audience of practicing engineers. In total, we expect the guidance to be tested on >100 real building projects.
WP6 Impact. All weather files produced by the project will be publicly available for a minimum of 10 years. A series of road shows will be undertaken at the end of the project. At these events the results of the project will be presented to a large number of users. The idea will be to introduce the whole UK built environment community to the idea of designing resilient buildings aided by the weather data produced by the project. A short film will also be produced for those that cannot attend and for an international audience.

Potential Impact:
It is well known that climate change will have a significant impact on UK building design and energy use. The predicted temperature changes are large enough to ensure that some buildings will either become uncomfortable places to be or will fail parts of the building regulations. This will have an impact on human health, particularly for the elderly in high summer.

Although this proposal concentrates on the construction industry and building science, the use of weather files in research and design is far more widespread-agricultural science being an obvious example-and the methodology and results produced will be of importance to a wide audience.

Much of the work described is urgently needed. The use of a single set of test reference years in the bulk of design work in the UK has led to a position where for all but the highest profile buildings little effort is made to explore what the internal environment of a building is truly likely to be over a range of typical years, and simulation is seen only as a tool to meet the building regulations. Simultaneously, we know that little attempt has been made to future-proof current designs against a changing climate. This has serious consequences for energy costs, productivity in the work place, competitiveness and health (particularly of the elderly).

The UK is committed to substantial reductions in its carbon emissions and the Government has highlighted the buildings sector as one of the major sectors to help ensure these reductions. Without knowledge of how energy consumption is likely to change in a changing climate it is difficult to make predictions of future carbon emissions. For buildings, unlike say transport, future energy consumption is intrinsically linked to future climate. The demand for heating or cooling cannot be estimated in a rigorous way by analysts unless they have access to consistent predictions of climate in the form used by energy/thermal models of buildings: i.e. hourly weather data that include wind direction.

Through its major architectural and engineering practices, the UK has a world-wide reputation in building design and modelling. The inability to model a changing climate is a weakness in this sector which leaves it open to competition from overseas. If the UK had an industry-wide ability to model these effects in the buildings sector based on a well-researched and consistent approach it would undoubtedly lead the way for global reform of the sector, giving it a competitive advantage.
Building professionals as represented by the membership of CIBSE, RIBA and other organisations have as yet little experience of using probabilistic information. To remain competitive this needs to change. Part of the work proposed is an in-depth exploration of the challenges we face in presenting the concepts of probabilistic data and results within an industrial setting, and the production of case-studies relevant to industry. Because this element is so industry-centred, many of the results will be applicable to other related sectors.