Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

McLeod, Robert S., Hopfe, Christina J. and Rezgui, Yacine 2012. A proposed method for generating high resolution current and future climate data for Passivhaus design. Energy and Buildings 55 , pp. 481-493. 10.1016/j.enbuild.2012.08.045

Full text not available from this repository.

Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Climate change scenarios; Probabilistic climate data; Passivhaus; PHPP; Urban heat islands
Publisher: Elsevier
ISSN: 0378-7788
Last Modified: 14 Nov 2017 20:37
URI: http://orca.cf.ac.uk/id/eprint/47265

Citation Data

Cited 9 times in Google Scholar. View in Google Scholar

Cited 16 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item