Evidence map›Paper›PMID 37852971›Full record

ArticleNature communications2023

Impacts of climate change, population growth, and power sector decarbonization on urban building energy use.

Chenghao Wang, Jiyun Song, Dachuan Shi, Janet L Reyna, Henry Horsey, Sarah Feron, Yuyu Zhou, Zutao Ouyang, Ying Li, Robert B Jackson

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

10 authors.

Chenghao WangDepartment of Earth System Science, Stanford University, Stanford, CA, USA. chenghao.wang@ou.edu.ORCID http://orcid.org/0000-0001-8846-4130
Jiyun SongDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.ORCID http://orcid.org/0000-0002-9483-0501
Dachuan ShiDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.
Janet L ReynaNational Renewable Energy Laboratory, Golden, CO, USA.ORCID http://orcid.org/0000-0003-3336-2879
Henry HorseyNational Renewable Energy Laboratory, Golden, CO, USA.
Sarah FeronUniversidad de Santiago de Chile, Santiago, Chile.
Yuyu ZhouDepartment of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1765-6789
Zutao OuyangDepartment of Earth System Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6919-569X
Ying LiEngineering Research Center of Eco-environment in Three Gorges Reservoir Region, Yichang, China.ORCID http://orcid.org/0000-0001-8499-4935
Robert B JacksonDepartment of Earth System Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8846-7147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate, technologies, and socio-economic changes will influence future building energy use in cities. However, current low-resolution regional and state-level analyses are insufficient to reliably assist city-level decision-making. Here we estimate mid-century hourly building energy consumption in 277 U.S. urban areas using a bottom-up approach. The projected future climate change results in heterogeneous changes in energy use intensity (EUI) among urban areas, particularly under higher warming scenarios, with on average 10.1-37.7% increases in the frequency of peak building electricity EUI but over 110% increases in some cities. For each 1 °C of warming, the mean city-scale space-conditioning EUI experiences an average increase/decrease of ~14%/ ~ 10% for space cooling/heating. Heterogeneous city-scale building source energy use changes are primarily driven by population and power sector changes, on average ranging from -9% to 40% with consistent south-north gradients under different scenarios. Across the scenarios considered here, the changes in city-scale building source energy use, when averaged over all urban areas, are as follows: -2.5% to -2.0% due to climate change, 7.3% to 52.2% due to population growth, and -17.1% to -8.9% due to power sector decarbonization. Our findings underscore the necessity of considering intercity heterogeneity when developing sustainable and resilient urban energy systems.

Identifiers

PMID37852971
PMCPMC10584859

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.