Climate change future proofing of buildings—Generation and assessment of building simulation weather files

Jentsch, Mark F.; Bahaj, A.S.; James, P.A.B.

doi:10.1016/j.enbuild.2008.06.005

Cited by 293 publications

(171 citation statements)

References 25 publications

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“…In literature, the concept of future-proofing covers areas such as protecting the built environment against climate change (Jentsch, et al, 2008), future-proofing buildings against future higher temperatures (Coley, et al, 2012), and energy efficiency (Georgiadou, et al, 2012). In addition, national and local frameworks have emerged, with a focus on effectively managing public health risks to achieve climate resilience (HM Government, 2013).…”

Section: Holistic Future-proofingmentioning

confidence: 99%

Using BIM to integrate and achieve holistic future-proofing objectives in healthcare projects

Krystallis

Demian

Price

2015

Construction Management and Economics

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Section: Holistic Future-proofingmentioning

confidence: 99%

Using BIM to integrate and achieve holistic future-proofing objectives in healthcare projects

Krystallis

Demian

Price

2015

Construction Management and Economics

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“…However, case studies of individual buildings to date enable the significant factors that influence the scale and direction of change to be identified (e.g. Chow and Levermore, 2010;Du et al, 2012;Jentsch et al, 2008;Lomas and Ji, 2009;Patidar et al, 2014;Short et al, 2012). Their findings are described in more detail below.…”

Section: Energy Demand From Buildings and The Impacts Of Climate Changementioning

confidence: 99%

The impacts of climate change on UK energy demand

Wood¹,

Roeder²,

Hill³

et al. 2015

Infrastructure Asset Management

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The impacts of climate change on the energy system are diverse; this article focuses on the potential effects on UK energy demand and the ramifications for national infrastructure building on the findings of the UK's 2012 Climate Change Risk Assessment. It reviews the available literature, where it exists, on the relationships among current energy demand, weather and climate change, and the implications for these relationships due to mitigation plans and potential adaptation responses. The review highlights the mechanisms by which future climate change, in particular changes in mean and extreme temperature, could affect the annual amount of UK energy demand and the seasonal, daily and spatial variation of the impacts. Published literature quantifying the effects of climate change on UK energy demand is limited; thus, where evidence is not available, information on the current relationship between weather and demand is combined with expert judgement to highlight potential demand responses to a changing climate without quantification. The impacts identified could have significant implications for the long-term planning of energy infrastructure and system operation and building design, depending on their magnitude, highlighting the need for further research in this area. (National Grid, 2014a). Historical relationships between economic growth and energy demand will likely be significantly altered by efforts to mitigate climate change as well as its inevitable impacts and our adaptation responses; thus, demand forecasters and those involved in infrastructure planning require an understanding of these ramifications for energy demand (McColl et al., 2012; National Grid, 2014a). Conor WalshParameters of demand considered here that are likely to be affected by climate change include (but are not limited to) the following: the size of annual energy demand, the size and timing of peak demand, the spatial distribution of demand and the sector affected (Chandramowli and Felder, 2014; ENA, 2011; National Grid, 2014a, 2014b, 2014c. These parameters of demand are among those considered when planning and managing energy infrastructure. The sizes of annual energy demand and peak demand influence the amount of supply and /or storage required, for example, the available capacity of electricity supply or the amount of gas and oil stored in the UK at any given time. The timing of peak demand influences planned maintenance and construction schedules and supply planning (ENA, 2011; National Grid, 2014b, 2014c. The regional distribution of demand influences the logistics of supply, including the topology and capacity of the electricity transmission and gas distribution networks (National Grid, 2014b, 2014c. In the case of electricity, the change in demand in urban against rural areas influences the effects seen by distribution network operators due to other confounding factors such as the urban heat island effect and the differences in network configuration (networked or radial) that service these areas (ENA, 2011). Finally, the s...

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“…Worldwide it is possible for designers to generate future predictive data in a limited number of formats by using various tools such as the Meteonorm software. Various data 'morphing' procedures have been elaborated by Belcher et al [20], Crawley [21] and Jentsch et al [22] who set out details for a series of shift and stretch functions which provide the underlying methods used to 'morph' existing TRY or baseline data sets in line with any given future climate change scenario. Crawley [21] provides further specific procedure's for shifting the ambient temperature in Urban Heat Islands.…”

Section: 2mentioning

confidence: 99%

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

McLeod

Hopfe

Rezgui

2012

Energy and Buildings

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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.

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Climate change future proofing of buildings—Generation and assessment of building simulation weather files

Cited by 293 publications

References 25 publications

Using BIM to integrate and achieve holistic future-proofing objectives in healthcare projects

Using BIM to integrate and achieve holistic future-proofing objectives in healthcare projects

The impacts of climate change on UK energy demand

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

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