Design summer year weather – outdoor warmth ranking metrics and their numerical verification

Ji, Yingchun; Zhang, Yi; Korolija, Ivan; Futcher, Julie

doi:10.1177/0143624416648179

Cited by 3 publications

(6 citation statements)

References 19 publications

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“…The random nature of the predicted indoor warmth ranking probabilities was observed in the previous study of Ji et al (2016) with different types of dwelling models. As reviewed earlier in section 1, these models do not have the flexibility to distinguish the level of contributions from individual weather parameters in terms of predicted indoor warmth.…”

Section: Typical Modelling Outputsmentioning

confidence: 58%

“…For the purpose of generating standard near extreme weather data, various analyses have been used in assessing the historical weather data. Some analyses were focusing on DBT only (CIBSE Guide J 2002;Smith & Hanby 2012;CIBSE TM49 2014), others considered parameters such as GSR and WS in addition to DBT (Jentsch et al 2015;Ji et al 2016). Here we show some new analyses using Finkelstein-Schafer statistics on DBT, GSR and WS, Spearman's rank order correlation, number of hours and accumulated degree hours on DBT, and peak coincidence probability of DBT-GSR and DBT-WS.…”

Section: Weather Data Analysismentioning

confidence: 95%

“…WCDH is based on adaptive comfort temperature (CIBSE Guide A 2006;BS EN 15251 2007), and it is closely related to the likelihood of thermal discomfort (Smith & Hanby 2012). However, this Dry Bulb Temperature only selection method and the 'conceptual free running building' analogy used in TM49 can be problematic in practices as argued in recent research (Jentsch et al 2015;Ji et al 2016): other weather parameters such as solar radiation and wind should also be included in selecting DSY; assuming operative temperature is the same as outdoor temperature for the 'conceptual building' could be unrealistic.…”

Section: Introductionmentioning

confidence: 99%

“…For CIBSE near-extreme weather data, the DSY, it has been always a complete year as discussed above. The work of Ji et al (2016) attempted to propose a new warmth ranking metric (sol-air temperature) which takes into account temperature, solar radiation and wind speed but this metric did not show noticeable improvement in terms of selecting a complete near extreme year compared with other existing metrics. This work also found that it is unlikely a complete year weather data can consistently represent the nearextreme condition in terms of the predicted indoor warmth.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers made recommendation on creating standardized weather data without any verification using building models (Levermore & Parkinson 2006;Smith & Hanby 2012;Belcher et al 2005;Eames et al 2011), whereas others attempted to verify their proposals using either a particular building model (Jentsch et al 2008), or simplified benchmark building models (Jetsch et al 2015;Nicol et al 2009). The work of Ji et al (2016) used various dwellings derived from five house types to verify the proposed Solair parameter alongside other existing ranking metrics. However, with these whole building models (UrbanArea 2012), it was not possible to isolate and assess the contributions of individual weather parameter in terms of predicted indoor warmth.…”

Section: Introductionmentioning

confidence: 99%

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Thermal responses of single zone offices on existing near-extreme summer weather data

Korolija

Zhang

2017

Build. Simul.

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There have been a number of attempts in the past to define 'near extreme' weather for facilitating overheating analysis in free running buildings. The most recently efforts include CIBSE latest release of Design Summer Year (DSY) weather using multiple complete weather years and a newly proposed composite DSY. This research aims to assess how various single zone offices respond to these new definitions of near extreme weathers. Parametric studies were carried out on single zone offices through which four sampling sets of models were employed to examine the thermal responses of dry bulb temperature, global solar radiation & wind speed collectively. London weather data from 1976 to 1995 were used and the overheating assessments were made based on CIBSE Guide A & BS EN 15251. The research discovers that solar radiation and wind both influence the predicted indoor warmth with solar radiation has obvious stronger impacts than wind. No perfect correlation was found from observation and Spearman's rank order analysis on the ranks between the weather warmth and the predicted indoor warmth. The ranks made using multiple weather parameters show better correlation than some of the dry bulb temperature only metrics. The research also discovers that the Test Reference Year weather behaves warmer than expected. It is also found that a single complete year can not represent the near-extreme consistently and there is no evidence a composite DSY is better statistically. These findings support the notion of using multiple complete warm weather years for overheating assessments.

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Section: Typical Modelling Outputsmentioning

confidence: 58%

Section: Weather Data Analysismentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal responses of single zone offices on existing near-extreme summer weather data

Korolija

Zhang

2017

Build. Simul.

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Dynamic thermal simulation of advanced natural ventilation in buildings: current and future usage, UK exemplar

Lee

Fernando

2019

Architectural Engineering and Design Management

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This paper evaluates the use of advanced natural ventilation (ANV) strategies in a range of climatic conditions from four cities in the UK using dynamic thermal simulation. A prototype ANV system was proposed, through which design changes were made to determine the most effective case in mitigating overheating among the changes considered. The most effective case was then assessed under identical simulation conditions for all four ANV strategies. The overheating criteria used in the research include the single temperature criterion from the Chartered Institute of Building Services Engineers' (CIBSE) Guide A and the adaptive thermal comfort overheating criteria from BS EN 15251. Both the current and future 'Design Summer Year (DSY)' weather data were used to examine the thermal performances of the proposed design. The findings show that shading, night cooling and heavy weight structures (ceiling) were all useful in mitigating overheating, with night cooling being identified as the most effective measure. The work assessed the use of ANV in both current and future scenarios to quantify the limits of outdoor environmental conditions under which natural ventilation is an effective strategy for achieving thermal comfort. The adaptive thermal comfort overheating criteria were proved to be easier to meet compared with the CIBSE single temperature criterion. With the adaptive overheating criteria, the given design is predicted to not overheat until 2050 in London Heathrow; and for other places evaluated in the UK (Edinburgh, Manchester & Birmingham), the design passes these criteria. However, with the single temperature criterion, the design fails for all London Heathrow weather data and some of the Manchester weather data. The Centre-in ANV strategies proved to be more effectives than the Edge-in strategies for space cooling due to the extended structure thermal mass. To make designs future proof for overheating in the southeast of the UK, hybrid or mixed ventilation may be needed in the foreseeable future.

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Assessing the requirements from ‘BB101’ 2006 and 2018 for a naturally ventilated preparatory school in the UK

Swan

Fitton

et al. 2018

Building Services Engineering Research and Technology

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In the UK, BB101 is the guidance document for ventilation design of school buildings. There are significant changes proposed in the new version of BB101. The aim of this paper is to examine the requirements of thermal comfort and CO2-based indoor air quality using both versions on a typical naturally ventilated preparatory school design using dynamic thermal simulations. The findings indicate that the new set of requirements on this school building design (both thermal and CO2 concentration) are much more difficult to meet than the requirements from the old version. One of the new thermal comfort criteria may be too difficult to achieve in practice, as the target value was exceeded for all the rooms of the examined design, using both test reference year and design summer year weather data. The ventilation provision for the school design is believed to be adequate. With appropriate ventilation control strategies, the design is able to meet the revised CO2 concentration criteria. Further examinations of the criteria from the new guidance document are needed to make sure the chosen criteria are fit for purpose. The use of future projected design summer year weather data (2020) also adds extra challenges for the preparatory school building to meet the newly proposed adaptive thermal comfort criteria. Practical applications: The research presents a very first assessment of a preparatory school building design using the newly proposed BB101 guidance document. It will assist further exploration on the appropriateness of the new assessment criteria and the use of design summer year weather data in order to explore the implications of the new BB101 guidelines for designers. The method adopted in the research can also be used for other building types to assess overheating in buildings when adaptive comfort criteria are recommended.

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Design summer year weather – outdoor warmth ranking metrics and their numerical verification

Abstract: Ti t l e D e si g n s u m m e r ye a r w e a t h e r-o u t d o o r w a r m t h r a n ki n g m e t ri c s a n d t h ei r n u m e ri c al ve rific a tio n

Cited by 3 publications

References 19 publications

Thermal responses of single zone offices on existing near-extreme summer weather data

Thermal responses of single zone offices on existing near-extreme summer weather data

Dynamic thermal simulation of advanced natural ventilation in buildings: current and future usage, UK exemplar

Assessing the requirements from ‘BB101’ 2006 and 2018 for a naturally ventilated preparatory school in the UK

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