A proposed method for generating high resolution current and future climate data for Passivhaus design

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.

► New methodology to generate probabilistic climate data for Passive House Planning Package (PHPP).
► Analysis of the implications of regional versus 5 km2 grid data in Passivhaus design.
► Investigation of output uncertainties resulting from uncertainties in climate data.
► Transient evolution of heating demand and peak loads over time.
► Predicting future risks in Passivhaus buildings affected by Urban Heat Islands (UHIs) and micro climates.