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Rob McLeod
Rob
McLeod
Christina Hopfe
Christina
Hopfe
Yacine Rezgui
Yacine
Rezgui
A proposed method for generating high resolution current and future climate data for Passivhaus design
Loughborough University
2014
Climate change scenarios
Climate data
Passivhaus
PHPP
Urban heat islands
Built Environment and Design not elsewhere classified
2014-05-28 13:22:15
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/A_proposed_method_for_generating_high_resolution_current_and_future_climate_data_for_Passivhaus_design/9446597
The sensitivity of low energy and passive solar buildings to their climatic context creates a requirement for accurate local climate data. This situation takes on increasing importance in the context of modelling Passivhaus
buildings where the absence of conventional oversized heating and cooling systems implies a greater reliance
upon fabric and system optimisation. Conversely, future climatic changes may also pose serious implications for
super insulated buildings with inadequate solar shading. Currently, many widely used building performance simulation (BPS) tools still rely on very limited sources of climate data.
The following research examines the need for regional and, in some cases, micro-regional climatic data when designing ultra-low energy Passivhaus buildings in the UK. The paper proposes a new methodology for
generating this data in PHPP format. The data generated is compared to alternative sources, and the implications
discussed in the context of three case studies examining a certified Passivhaus dwelling in a mountainous region
of Wales as well as two locations, in close proximity, within London. If correctly implemented the use of such data should provide a more robust basis for future cost and performance optimisation in low energy and passive building design.