Evidence map›Paper›PMID 35919151›Full record

ArticleRSC advances2022

Comparative evaluation of thermal and emission performances for improved commercial coal-fired stoves in China.

Riaz Ahmad, Yuguang Zhou, Chao Liang, Gang Li, Nan Zhao, Adnan Abbas, Fan Yu, Lianliang Li, Jue Gong, Duoyi Wang and 5 more

Abstract read
In one paragraph

Article in RSC advances, 2022. 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

15 authors.

Riaz AhmadBioenergy and Environmental Science and Technology Laboratory, College of Engineering, China Agricultural University Beijing 100083 China.
Yuguang ZhouBioenergy and Environmental Science and Technology Laboratory, College of Engineering, China Agricultural University Beijing 100083 China.
Chao LiangBioenergy and Environmental Science and Technology Laboratory, College of Engineering, China Agricultural University Beijing 100083 China.
Gang LiSchool of Artificial Intelligence, Beijing Technology and Business University Beijing 100048 China ligang@btbu.edu.cn.ORCID https://orcid.org/0000-0002-9520-1731
Nan ZhaoSchool of Ecology and Environment, Zhengzhou University Zhengzhou Henan Province 450001 China nan.zhaoca@outlook.com.ORCID https://orcid.org/0000-0002-5654-802X
Adnan AbbasBioenergy and Environmental Science and Technology Laboratory, College of Engineering, China Agricultural University Beijing 100083 China.
Fan YuSchool of Economics, Beijing Technology and Business University Beijing 100048 China.
Lianliang LiSchool of Artificial Intelligence, Beijing Technology and Business University Beijing 100048 China ligang@btbu.edu.cn.
Jue GongSchool of Artificial Intelligence, Beijing Technology and Business University Beijing 100048 China ligang@btbu.edu.cn.
Duoyi WangSchool of Ecology and Environment, Zhengzhou University Zhengzhou Henan Province 450001 China nan.zhaoca@outlook.com.
Yanming YangSchool of Ecology and Environment, Zhengzhou University Zhengzhou Henan Province 450001 China nan.zhaoca@outlook.com.
Zixuan TangSchool of Art and Communication, Beijing Technology and Business University Beijing 100048 China.
Muhammad SultanDepartment of Agricultural Engineering, Bahauddin Zakariya University Bosan Road Multan 60800 Pakistan.
Chao SunShandong Warm Valley New Energy & Environ. Protection Technology Co., Ltd Yantai 264001 China.
Renjie DongBioenergy and Environmental Science and Technology Laboratory, College of Engineering, China Agricultural University Beijing 100083 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extensive use of traditional cooking stoves to meet daily cooking and heating requirements has highlighted the serious problem of indoor and outdoor air pollution. This study evaluates seven improved coal-fired space-heating and cooking stoves and compares them with a widely used stove of an older design, selected as a baseline reference. The seven stoves were selected from a range of candidate improved stoves submitted by manufacturers for testing as part of the air quality improvement in the Hebei Clean Air Project, Hebei Province, China. Stove performance was evaluated when burning raw coal and coal briquettes during the high and low power stages respectively. All seven improved cooking stoves surpassed the baseline stove in combined heating and cooking thermal and emission performance. Among the improved cooking stoves, Model 2-TL was found to have the highest average thermal efficiency, 87.2 ± 0.5%, when burning coal briquettes at high and low power. The lowest emission of PM

Identifiers

PMID35919151
PMCPMC9297129

What OpenQuestion holds

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LicenceCC BY-NC
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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.