Evidence map›Paper›PMID 39991222›Full record

ReviewHeliyon2025

State-of-the-art carbon metering: Continuous emission monitoring systems for industrial applications.

Ning Ding, Yanheng Xi, Wenting Jiang, Hongwei Li, Jun Su, Sixiang Yang, Tek Tjing Lie

Abstract readReview
In one paragraph

Review in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

7 authors.

Ning DingSchool of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China.
Yanheng XiSchool of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China.
Wenting JiangSchool of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China.
Hongwei LiSchool of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China.
Jun SuSchool of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, 361012, China.
Sixiang YangChina Petroleum & Chemical Corporation, Beijing, 100728, China.
Tek Tjing LieSchool of Engineering, Computer and Mathematical Sciences Auckland University of Technology, Auckland, 1142, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the urgency of climate change, nations are enforcing stricter regulations on emissions, particularly in the energy sector, intensifying the focus on precise carbon measurement. This review systematically examines carbon emission scenarios by analyzing energy system structures and advancements in monitoring and metering technologies. We introduce the concept of real-time, dynamic carbon metering, which enhances carbon accounting accuracy through context-specific measurements. Emphasizing key technologies for Continuous Emission Monitoring Systems (CEMS) in stationary sources, this paper highlights innovations in sensor technology, such as NDIR and nanotechnology-enabled sensors, that improve detection sensitivity and reliability. Key challenges for CEMS implementation are identified, including high costs and regional variations in emission standards. Through a bibliometric analysis using CiteSpace, we reveal emerging trends in integrated gas monitoring, real-time data analytics, and the role of artificial intelligence in refining data interpretation. Our findings underscore the need for policy-related frameworks that incentivize technological innovation, facilitating the development of cost-effective and adaptable monitoring solutions to support accurate, actionable carbon data for effective emissions management and alignment with global environmental goals.

Indexed as

Carbon accountingCarbon dioxide concentration detection technologyCarbon emission monitoringCEMSIndustrial carbon emissions

Identifiers

PMID39991222
PMCPMC11847114

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.