Evidence map›Paper›PMID 33374644›Full record

ReviewInternational journal of environmental research and public health2020

A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling.

Yuanzheng Li, Wenjing Wang, Yating Wang, Yashu Xin, Tian He, Guosong Zhao

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days.International journal of environmental research and public health · 2021
    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

6 authors at 4 institutions in 1 country.

Yuanzheng LiSchool of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China.ORCID 0000-0002-2777-989X
Wenjing WangState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Yating WangChengdu Academy of Environmental Sciences, Chengdu 610072, China.
Yashu XinSchool of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China.
Tian HeSchool of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001, China.
Guosong ZhaoSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-4140-7512
Chinese Academy of Sciences · CNHenan University of Economic and Law · CNChengdu Academy of Agriculture and Forestry Sciences · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is faced with significant climate change, rapid urbanization, massive energy consumption, and tremendous pressure to reduce greenhouse gases. Building heating and cooling is one primary source of energy consumption and anthropogenic carbon dioxide emissions. First, this review presents previous studies that estimate the specific amount of climate change impact on building heating and cooling energy consumption, using the statistical method, physical model method, comprehensive assessment model method, and the combination method of statistical and physical model methods. Then, because the heating and cooling degree days indices can simply and reliably indicate the effects of climate on building heating and cooling energy consumption, previous studies were reviewed from the aspects of heating and cooling degree days indices, regional spatial-temporal variations in degree days and related indices, influencing factors of the spatial distributions of degree days, and the impacts of urbanization on degree days. Finally, several potential key issues or research directions were presented according to the research gaps or fields that need to be studied further in the future, such as developing methods to simply and accurately estimate the specified amounts of climate change impact on building cooling and heating energy consumption; using more effective methods to analyze the daytime, nighttime, and all-day spatial-temporal changes in different seasons in the past and future under various environment contexts by considering not only the air temperature but also the relative humidity, solar radiation, population, etc., and further exploring the corresponding more kinds of driving forces, including the various remotely sensed indices, albedo, nighttime light intensity, etc.; estimating the daytime, nighttime, and all-day impacts of urbanization on heating degree days (HDDs), cooling degree days (CDDs), and their sum (HDDs + CDDs) for vast cities in different environmental contexts at the station site, city, regional and global scales; producing and sharing of the related datasets; and analyzing the subsequent effects induced by climate change on the energy consumption for building heating and cooling, etc.

Indexed as

Air ConditioningClimate ChangeEnergy-Generating ResourcesHeatingCitiesclimate changecomprehensive assessment model methoddegree days methodenergy consumptionphysical model methodstatistical methodurbanization effects

Identifiers

PMID33374644
PMCPMC7793515
OpenAlexW3115707931

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.