Evidence map›Paper›PMID 39678166›Full record

ArticleHeliyon2024

Towards net zero: Comprehensive approach for voluntary carbon trading among microgrids.

Ayoub Zerka, Mohammed Ouassaid, Mohamed Maaroufi, Reda Rabeh

Abstract read
In one paragraph

Article in Heliyon, 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
–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

0 citing papers in PubMed.

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

4 authors.

Ayoub ZerkaEngineering for Smart and Sustainable Systems Research, Mohammadia School of Engineers, Mohammed V University in Rabat, Ibn Sina, Rabat, 10000, Morocco.
Mohammed OuassaidEngineering for Smart and Sustainable Systems Research, Mohammadia School of Engineers, Mohammed V University in Rabat, Ibn Sina, Rabat, 10000, Morocco.
Mohamed MaaroufiEngineering for Smart and Sustainable Systems Research, Mohammadia School of Engineers, Mohammed V University in Rabat, Ibn Sina, Rabat, 10000, Morocco.
Reda RabehLERMA Laboratory, College of Engineering, International University of Rabat, Sala Al Jadida, 11100, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of growing focus over climate changes and promoting sustainability across a various range of fields, microgrids can play a significant role in global decarbonization endeavors, contributing to carbon neutrality and ultimately attaining net-zero emissions in the energy sector. The objective of this paper is to address the integration of voluntary carbon trading within microgrid communities, in the perspective to mitigate greenhouse gas (GHG) emissions and boost the integration of renewable energy sources (RES). Introducing five modular algorithms managing key aspects of carbon trading, the study engineers a comprehensive framework aiming to optimally orchestrate the Voluntary Carbon Market (VCM) within microgrids. Particularly, the developed algorithms address aspects such as market enrollment decision, optimal energy dispatch, managing the market transactions, sellers-buyers matching as well as the dynamic adjustment of carbon credit prices and emission taxes. The framework has been rigorously tested across three distinct scenarios. Results show that the developed VCM, with adequate configurations, has the potential to incentivize microgrids to curtail their GHG emissions, encourage the integration of more RES into their generation mix, and rewards the more proactive microgrids with substantial financial incentives.

Indexed as

Carbon creditsMarket entry gameMicrogridsOptimal carbon tradingVoluntary carbon market

Identifiers

PMID39678166
PMCPMC11639374

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.