The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The impact of thermal mass on building energy consumption
Open accessAbstract
This paper presents new metrics to measure the effect of thermal mass on the energy required to heat and cool buildings. Previous studies have been flawed as they have not considered the interaction between intermittent occupancy and thermal mass, which has a significant impact on overall energy use. However, existing parameters do not adequately capture these effects, so the new metrics developed in this paper are used to analyse the impact of thermal mass in hot climates with active cooling, and cold climates with active heating. The results agree with existing literature that high thermal mass structures are likely to be effective in hot climates; however, in cold climates the drawbacks of high thermal mass likely outweigh the advantages, and high thermal mass can cause an increase in energy use. This finding has implications for the design of buildings in cold climates, and contradicts the commonly-held assumption that high thermal mass is correlated with low energy use. The new metrics (transient energy ratio and effective U-value) provide a generalisable method to quantify these effects. They are further used here to analyse the dynamic performance of heavily insulated buildings and show that high thermal mass often leads to higher energy use in cold climates.
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Cites
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An improved lumped parameter method for building thermal modelling
Underwood, C. P. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.05.001 · Cited by 84
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Cited by
Kuczyński, T., & Staszczuk, A. (2020) · Energy · doi:10.1016/j.energy.2020.116984 · Cited by 131
Metadata
- Authors
- Reilly, A., & Kinnane, O.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 198
- Pages
- 108-121
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2608706652
- Cited by
- 266
- References
- 19
- FWCI
- 29.63
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.