Post-construction thermal testing: some recent                     measurements

Johnston, David; Miles-Shenton, D; Farmer, David; Brooke-Peat, Matthew

doi:10.1680/ensu.14.00048

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…To compare the thermal performance of the 'HempCell' wall system with the other conventional and emerging wall systems, comparative coheating tests were carried out among five test buildings built with the following walls systems: Concrete Block Masonry, HempCell, Polyisocyanurate (PIR), Wood Fibre and Mineral Wool. A coheating test applies a quasi-steady state method for determining the whole building energy performance [31]. It is typically carried out by elevating the internal temperature to 25°C for a period of 1-3 weeks [32].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

In situ assessment of the fabric and energy performance of five conventional and non-conventional wall systems using comparative coheating tests

Latif

Lawrence

Shea

et al. 2016

Building and Environment

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Comparative coheating tests have been carried out in five test buildings with walls constructed of Concrete Block Masonry and timber framed Hemp-lime composite, Polyisocyanurate (PIR), Wood Fibre and Mineral Wool. Five different methods of determining heat loss coefficient (HLC) were applied during the data analysis. While some variability in HLC values was observed between the different forms of construction, the hierarchy of HLC values among the test buildings were consistent, with the Concrete Block Masonry exhibiting the highest and Wood Fibre test building exhibiting the lowest HLC values. Except for the Concrete Block Masonry, there was good agreement between the calculated HLC values and those derived by applying the method 5 where the analysis incorporated both the effects of solar radiation and thermal mass. The in-situ U-value for the Concrete Block wall, determined by the average method, was 32.8% higher than its design value, whilst the other wall systems showed marginally lower U-values than their corresponding design Uvalues.

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Section: Accepted Manuscriptmentioning

confidence: 99%

In situ assessment of the fabric and energy performance of five conventional and non-conventional wall systems using comparative coheating tests

Latif

Lawrence

Shea

et al. 2016

Building and Environment

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“…Gagliano et al (2017) propose the application of a geographical information system (GIS)-based method to support the development and management of a sustainable energy action plan at the urban level. The GIS provides a geo-referenced representation of the municipality that can be enhanced with data on the actual energy requirements of the municipality and the local production of energy.One of the most critical challenges faced by the built environment sector today is the 'energy performance gap', which is the difference in energy use and emissions of buildings, from predicted performance at the design stage to performance in use (Johnston et al, 2015;Robinson et al, 2016). Underestimating the likely energy consumption of buildings creates a number of potential risks including impacting on carbon dioxide reduction targets, higher than expected energy bills and undermining buyer confidence in new low-carbon dioxide buildings (Zero Carbon Hub, 2013).…”

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confidence: 99%

“…One of the most critical challenges faced by the built environment sector today is the 'energy performance gap', which is the difference in energy use and emissions of buildings, from predicted performance at the design stage to performance in use (Johnston et al, 2015;Robinson et al, 2016). Underestimating the likely energy consumption of buildings creates a number of potential risks including impacting on carbon dioxide reduction targets, higher than expected energy bills and undermining buyer confidence in new low-carbon dioxide buildings (Zero Carbon Hub, 2013).…”

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confidence: 99%

Editorial

Calautit¹

2017

Proceedings of the Institution of Civil Engineers - Engineering

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in partnership with KES International. Annually, the conference brings together researchers and government and industry professionals to discuss the future of energy in buildings, neighbourhoods and cities from a theoretical, practical, implementation and simulation perspective.Built upon the success of previous conferences, the seventh conference in the SEB series attracted a large number of submissions from all around the world, which were subjected to a two-stage peer review process. With the objective of producing a high-quality conference, papers were selected for presentation at the conference and publication in the proceedings. The scope of Sustainability and Energy in Buildings is extensive and 57 oral presentations were delivered during SEB15. Extended and revised versions of the top eight articles, which were selected by the SEB scientific committee and Engineering Sustainability editorial panel, are included in this and a subsequent themed issue to disseminate further the leading research in this field first presented at SEB15. The selected papers cover emerging research topics in the areas of energy and buildings, including big data, renewable energy integration, energy performance gap, advanced materials and technologies in building construction, hybrid energy systems and smart cities.Recently, the big data concept has been gaining considerable attention for tackling complex and challenging engineering problems; in particular, it is notably impacting the civil engineering sector. Big data analytics is transforming the way civil infrastructure systems are constructed, operated and maintained. It provides valuable insights from a large amount of data collected through various sources to optimise decision-making, save energy, improve safety and reduce cost. Some of its applications in the civil engineering sector include structural health and environmental monitoring (Yeum et al., 2016), waste and water management, urban planning and operation (Tkachenko et al., 2015), smart buildings (Gruber et al., 2016) and mobility (Valdez et al., 2015). The first article in this issue presents a data mining-based methodology for setting decision-making rules to identify the energy consumption patterns of a large data set of flats and investigate different energy retrofit actions. The influence of four attributes on the normalised primary energy demand of 92 906 flats in northern Italy are analysed. The paper covers crucial aspects of practical relevance for authority planners and building energy experts and designers.Similar to the work of Capozzoli et al. (2017), the method proposed by Gagliano et al. (2017) in the second paper aims to support decision makers to estimate the energy consumption of residential, commercial and industrial buildings and evaluate the possible effects of different energy strategies. The complexity of urban energy supply and demand is increasing rapidly with the diversity of energy technologies that participate in the energy system, such as integration of renewables, electric vehicles, ...

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“…One of the most important challenges faced by the building sector today is tackling the 'energy performance gap', which is the disparity in energy use of buildings, from predicted performance at the design stage to actual performance in use (Baborska-Narozny and Stevenson, 2017;Johnston et al, 2015;Robinson et al, 2016). The third paper in this issue (Patlakas and Raslan, 2017) discusses the significant role of building users in determining the energy use of buildings and the influence of their behaviour on the 'performance gap'.…”

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confidence: 99%