Evidence map›Paper›PMID 38304568›Full record

ArticleRSC advances2024

Combustion properties and pollutant analysis of coal-blended bio-heavy oil fuel.

Yuan Bai, Yuqing Sun, Haojun Pan, Sheng Wang, Yuehong Dong, Bin Chen, Jian Qiu, Wenheng Jing

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Yuan BaiState Key Laboratory of Low-Carbon Smart Coal-Fired Power Generation and Ultra-Clean Emission, China Energy Science and Technology Research Institute Co., Ltd Nanjing China.
Yuqing SunState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University Nanjing China sunyq@njtech.edu.cn jingwh@njtech.edu.cn.ORCID https://orcid.org/0009-0002-2629-7343
Haojun PanState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University Nanjing China sunyq@njtech.edu.cn jingwh@njtech.edu.cn.
Sheng WangState Key Laboratory of Low-Carbon Smart Coal-Fired Power Generation and Ultra-Clean Emission, China Energy Science and Technology Research Institute Co., Ltd Nanjing China.
Yuehong DongState Key Laboratory of Low-Carbon Smart Coal-Fired Power Generation and Ultra-Clean Emission, China Energy Science and Technology Research Institute Co., Ltd Nanjing China.
Bin ChenState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University Nanjing China sunyq@njtech.edu.cn jingwh@njtech.edu.cn.
Jian QiuState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University Nanjing China sunyq@njtech.edu.cn jingwh@njtech.edu.cn.
Wenheng JingState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University Nanjing China sunyq@njtech.edu.cn jingwh@njtech.edu.cn.ORCID https://orcid.org/0000-0002-1919-9932
Nanjing Tech University · CNChina Energy Science and Technology Research Institute Co., Ltd. (China)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive carbon-dioxide emissions drive global climate change and environmental challenges. Integrating renewable biomass fuels with coal in power units is crucial for achieving low-carbon emission reductions. Coal blending with bio-heavy oil enhances the combustion calorific value of the fuel, improves combustion characteristics, and decreases pollutant emissions. This study found that bio-heavy oil with low sulfur (0.073%), low nitrogen (0.18%), low ash, and high oxygen (11.005%) content exhibits excellent fuel performance, which can be attributed to the abundant oxygen-containing functional groups (such as C[double bond, length as m-dash]O) in the alcohols, aldehydes, and ketones present in bio-heavy oil. Additionally, the residual moisture in coal-blended bio-heavy oil reduces the fuel's calorific value. The calorific value increases with a higher proportion of blended bio-heavy oil (28.1, 28.9, 32.1, 34.7, 40.6 MJ kg

Identifiers

PMID38304568
PMCPMC10828933
OpenAlexW4391389188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.