Evidence map›Paper›PMID 40727409›Full record

ArticleRoyal Society open science2025

Parametric contribution of building form to whole-life carbon decision-making.

Danielle Abbey, Hadi Arbabi, Danielle Densley Tingley

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Danielle AbbeySchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0009-0005-4412-2944
Hadi ArbabiSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0001-8518-9022
Danielle Densley TingleySchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing buildings generate 30% of global emissions because of the energy required to heat, cool and power them. Mass improvements in building fabric efficiency and heating/cooling systems are therefore imperative. Fast-running modelling approaches are thus necessary to identify appropriate interventions for the global building stock. This paper presents a new parametric formulation to determine the best whole-life carbon intervention as a function of building form. We demonstrate that buildings of inefficient form have greater potential for energy savings, providing a useful prioritization tool for future planning decisions. We present results as a novel graphical tool, which can be used to identify the lowest carbon scenario for any building form across a combination of building storeys and glazing ratios. This is applied to a cool-temperate climate, comparing a retrofit scenario, to the option of replacement with new construction. Finally, we apply the formulation to a subset of the UK educational building stock, assessing 15 193 forms. For this scenario, we conclude that retrofit always results in lower whole-life carbon compared to replacement with attainable new construction standards. This work provides practical assistance with early stage decision-making and theoretical understanding of how form influences energy consumption and whole- life carbon emissions.

Indexed as

building formretrofitsustainable buildingswhole-life carbon

Identifiers

PMID40727409
PMCPMC12303092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.