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JournalISSN: 0143-6244

Building Services Engineering Research and Technology 

SAGE Publishing
About: Building Services Engineering Research and Technology is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Ventilation (architecture) & Air conditioning. It has an ISSN identifier of 0143-6244. Over the lifetime, 1281 publications have been published receiving 15499 citations. The journal is also known as: Building Services Engineering Research & Technology.


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Journal ArticleDOI
TL;DR: In this article, the authors developed a method called morphing to produce design weather data for building thermal simulations that accounts for future changes to climate by combining present-day observed weather data with results from climate models.
Abstract: We develop a method, here called ‘morphing’, to produce design weather data for building thermal simulations that accounts for future changes to climate. Morphing combines present-day observed weather data with results from climate models. The procedure yields weather time series that encapsulate the average weather conditions of future climate scenarios, whilst preserving realistic weather sequences. In this sense the method ‘downscales’ coarse resolution climate model predictions to the fine spatial and temporal resolutions required for building thermal simulations. The morphing procedure is illustrated by application to CIBSE design weather years and climate change scenarios for the UK. Heating degree days calculated from the weather series morphed to future climates show a marked reduction compared to present day, by an amount that agrees well with results calculated directly from the climate model. This agreement gives confidence that the morphing technique faithfully transforms the weather sequences...

499 citations

Journal ArticleDOI
TL;DR: In this article, a method for the creation of future probabilistic reference years for use within thermal models is discussed, and a comparison is made with the current set of future weather years based on the UKCIP.
Abstract: Weather data are used extensively by building scientists and engineers to study the performance of their designs, help compare design alternatives and ensure compliance with building regulations. Given a changing climate, there is a need to provide data for future years so that practising engineers can investigate the impact of climate change on particular designs and examine any risk the commissioning client might be exposed to. In addition, such files are of use to building scientists in developing generic solutions to problems such as elevated internal temperatures and poor thermal comfort. With the publication of the UK Climate Projections (UKCP09) such data can be created for future years up to 2080 and for various probabilistic projections of climate change by the use of a weather generator. Here, we discuss a method for the creation of future probabilistic reference years for use within thermal models. In addition, a comparison is made with the current set of future weather years based on the UKCIP...

189 citations

Journal ArticleDOI
TL;DR: In this article, improved data correlations have been derived for buoyancy-driven convective heat transfer from the internal surfaces of naturally-ventilated buildings based on the mathematical model of Churchill & Usagi (1972).
Abstract: Improved data correlations have been derived for buoyancy-driven convective heat transfer from the internal surfaces of naturally-ventilated buildings. They cover the full range of laminar, transitional and turbulent airflows, and are based on the mathematical model of Churchill & Usagi (1972). The new correlating equations are presented in a convenient form for incorporating into modern computer programs which simulate the dynamic thermal performance of buildings. They compare favourably with the available exerimental data for isolated surfaces, and are shown to be an improvement on the ‘standard’ correlations recommended in the CIBS Guide. The factors which affect the accuracy of such data correlations, when used for the energy-conscious design of ‘real’ buildings, are briefly discussed.

189 citations

Journal ArticleDOI
TL;DR: In this article, the authors used behavioural models to simulate the performance of rainwater collectors and evaluated the accuracy of behavioural models for the sizing of rain water collection systems using different time intervals and different reservoir operating rules applied to a range of reservoir capacities and collection areas.
Abstract: The collection of rainwater from roofs and its storage and subsequent use make a significant saving in the use of potable water. The capacity of the rainwater store is important because it affects both system and initial costs. The investigation concentrates upon the use of behavioural models to simulate the performance of rainwater collectors. The input data, in time series form, is used to simulate the mass flows through the model, and will be based upon time intervals of a minute, an hour, a day or a month. A preliminary mapping exercise is described that evaluates the accuracy of behavioural models for the sizing of rainwater collection systems using different time intervals and different reservoir operating rules applied to a range of reservoir capacities and collection areas. The preliminary analysis indicated that the yield after spillage (YAS) reservoir operating algorithm based on a hourly time interval could be used as a standard against which other models could be compared and calibrated. The d...

171 citations

Journal ArticleDOI
TL;DR: In this paper, the evaluation of the isotropic and four anisotropic solar radiation models for inclined surfaces was performed in two stages, abbreviated and detuned, and the evaluation procedure was split into two stages.
Abstract: This study is concerned with the evaluation of the isotropic and four anisotropic solar radiation models for inclined surfaces. The evaluation procedure was split in two stages— abbreviated and det...

150 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202320
202250
202151
202047
201942
201846