The relative importance of input weather data for indoor overheating risk assessment in dwellings

Taylor, Jonathon; Davies, Martin; Mavrogianni, Anna; Chalabi, Zaid; Biddulph, Phill; Oikonomou, Eleni; Das, Payel; Jones, Benjamin

doi:10.1016/j.buildenv.2014.03.010

Cited by 78 publications

(54 citation statements)

References 19 publications

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“…This is a problem, as summers such as 2003 which resulted in so many deaths across Europe are not ranked highly in the base dataset when considering average summertime temperature. Various attempts have been made to address such concerns, largely by creating new reference years based on warmer periods or on predictions of climate change (see, for example: [18][19][20][21][22][23]). …”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Furthermore, as it is known that different weather parameters have a differing influence on the relative risk of overheating for different building types [23], three design reference years were selected in [26] based on the daily mean temperature, relative humidity and solar radiation respectively. In addition, different sampling methods [26,27] and statistical adjustment methods [28] have been used to develop new DSYs but none of them have been found to overcome all the shortcomings in the simple DSY selection discussed in [29].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

See 1 more Smart Citation

Probabilistic adaptive thermal comfort for resilient design

Coley

Herrera

Fosas

et al. 2017

Building and Environment

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Adaptive thermal comfort theory has become the bedrock of much thinking about how to judge if a free-running environment is suitable for human occupation. In design work, the conditions predicted by a thermal model, when the model is presented with one possible annual weather time series (a reference year), are compared to the limits of human comfort. If the temperatures are within the comfort limits, the building is judged to be suitable. However, the weather in many locations can vary year-on-year by a considerable margin, and this begs the question, how robust are the predictions of adaptive comfort theory likely to be over the many years a building might be in use? We answer this question using weather data recorded for up to 30 years for locations within each of the five major Köppen climate classifications.We find that the variation in the annual time series is so great that the predicted comfort temperature frequently lies outside the acceptable range given by the reference year. Return periods for the excursions of the time series are calculated for each location. The results for one location are then validated using the world's longest temperature record. These results suggest that industry and academia would be best advised to move to a probabilistic methodology, like the proposed one, when using adaptive comfort theory to judge the likely conditions within a building. Extra pertinence is provided by concerns over increases in mortality and morbidity in buildings due to a rapidly warming climate. • A new probabilistic adaptive comfort theory introduced.• New comfort equations for resilient building design presented.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Probabilistic adaptive thermal comfort for resilient design

Coley

Herrera

Fosas

et al. 2017

Building and Environment

View full text Add to dashboard Cite

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“…13 To investigate the potential changes in exposure to high indoor temperatures and PM 2.5 under a warming climate, four different climate scenarios for Plymouth were used: a current TRY and DSY, and a 2050s TRY and DSY (both 90% probability). Both future climate files were 'high emissions' scenarios in order to represent worst-case scenarios, with a 90% probability that temperatures would not be greater than those in the weather file.…”

Section: Weather Scenariosmentioning

confidence: 99%

“…The geographical location of dwellings within the UK may also have an impact on both absolute overheating risk and the relative risk of overheating amongst different dwelling types. 13 Variations in these factors mean that the UK domestic building stock experiences a large range of relative overheating risks that can strongly influence the exposure of occupants to high or extreme temperatures.…”

Section: Introductionmentioning

confidence: 99%

Understanding and mitigating overheating and indoor PM_2.5 risks using coupled temperature and indoor air quality models

Taylor

Mavrogianni

Davies

et al. 2015

Building Services Engineering Research and Technology

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Indoor temperature and air quality in dwellings are closely coupled. Differences between the indoor temperature and the temperature outside and in adjoining zones can influence airflow due to the stack effect, whilst changes in ventilation can cause changes in indoor pollution and temperature. This paper demonstrates the relationship between an indoor air pollutant, PM 2.5 , and temperature in UK domestic building archetypes using the dynamic thermal and contaminant modelling capabilities of EnergyPlus 8.0 under various UK Climate Projections 2009 (UKCP09) scenarios (current, current 'hot', 2050 High Emissions and 2050 High Emissions 'hot'), with both internal and external PM 2.5 sources. Results indicate that flats have 0.7-0.8 times as much outdoor PM 2.5 infiltrating indoors compared to detached dwellings, but 1.8-2.8 times more PM 2.5 from indoor sources. During hot periods, temperature-dependent window opening increases exposure to outdoor PM 2.5 , meaning that as temperatures rises, dwelling occupants will become exposed to relatively higher levels of outdoor PM 2.5 and lower levels of indoor PM 2.5 due to the need to increase dwelling ventilation. The practical implications for government and designers and possible policy implications of this research are discussed. Practical applications: This paper demonstrates how an increase in summertime ventilation is necessary in UK homes to reduce overheating risks due to climate change and energy-efficient building retrofits. This, in turn, will lead to a change in the profile of indoor air pollution exposure, with greater exposure to pollution from outdoor sources and reduced exposure to pollution from indoor sources. Roof insulation and trickle vents reduce overheating risk, whilst increased use of mechanical ventilation heat recovery systems in the UK is encouraged, as it offers the co-benefits of cooling through increased ventilation, energy recovery and the potential to reduce indoor pollution levels.

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“…McLeod et al [27] used dynamic thermal modelling to identify that Passive Houses are also at risk of future overheating and these risks could be mitigated through the inclusion of solar shading and adjusting glazing ratios at the design stage. There also needs to be consideration of different climatic conditions and regional weather conditions in modelling to assess overheating risk [37].…”

Section: Thermal Comfortmentioning

confidence: 99%

Scottish Passive House: Insights into Environmental Conditions in Monitored Passive Houses

et al. 2016

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Climate change and sustainability legislation in recent years has led to significant changes in construction approaches in the UK housing sector. This has resulted in the adoption of new building typologies, including the German Passivhaus (Passive House) standard. This standard aims to improve occupant comfort and energy efficiency, potentially changing the ways in which homes operate and how occupants interact with them. With increasing construction of low energy dwellings, there is an emerging gap in knowledge in relation to occupant health and wellbeing, thermal comfort, and indoor air quality (IAQ). Using data collected from a two year Building Performance Evaluation (BPE) study funded by Innovate UK, the environmental data (temperature, relative humidity and carbon dioxide concentrations) from five Certified Passive House homes in Scotland was compared. The results demonstrate problems with overheating with peak temperatures exceeding 30˝C. Imbalanced mechanical ventilation with heat recovery (MVHR) systems were identified in 80% of the dwellings and inadequate IAQ was found due to poor ventilation. Only one of the Passive Houses studied exhibited thermal conditions and IAQ which were, on the whole within Passive House parameters. This paper outlines the insights and the main issues of Scottish Passive House in the broader context of sustainability.

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The relative importance of input weather data for indoor overheating risk assessment in dwellings

Cited by 78 publications

References 19 publications

Probabilistic adaptive thermal comfort for resilient design

Probabilistic adaptive thermal comfort for resilient design

Understanding and mitigating overheating and indoor PM_2.5 risks using coupled temperature and indoor air quality models

Scottish Passive House: Insights into Environmental Conditions in Monitored Passive Houses

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The relative importance of input weather data for indoor overheating risk assessment in dwellings

Cited by 78 publications

References 19 publications

Probabilistic adaptive thermal comfort for resilient design

Probabilistic adaptive thermal comfort for resilient design

Understanding and mitigating overheating and indoor PM2.5 risks using coupled temperature and indoor air quality models

Scottish Passive House: Insights into Environmental Conditions in Monitored Passive Houses

Contact Info

Product

Resources

About

Understanding and mitigating overheating and indoor PM_2.5 risks using coupled temperature and indoor air quality models