Evidence map›Paper›PMID 40093574›Full record

ReviewMethodsX2025

Enhancing efficiency in photovoltaic hydrogen production: A comparative analysis of MPPT and electrolysis control strategies.

Shen Yuong Wong, Jiawei Li

Abstract readReview
In one paragraph

Review in MethodsX, 2025. 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

2 authors.

Shen Yuong WongSchool of Electrical Engineering and Artificial Intelligence, Xiamen University Malaysia, Sepang, Malaysia.
Jiawei LiSchool of Electrical Engineering and Artificial Intelligence, Xiamen University Malaysia, Sepang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid growth of photovoltaic installed capacity, photovoltaic hydrogen production can effectively solve the problem of electricity mismatch between new energy output and load demand. Photovoltaic electrolysis systems pose unique challenges due to their nonlinear, multivariable, and complex nature. This paper presents a thorough investigation into the control methodologies for such systems, focusing on both Maximum Power Point Tracking (MPPT) and electrolysis cell control strategies. Beginning with a comprehensive review of MPPT techniques, including classical, intelligent, optimization, and hybrid approaches, the study delves into the intricate dynamics of Proton Exchange Membrane Electrolysis Cells (PEMEL). Considering the nonlinear and time-varying characteristics of PEMEL, various control strategies such as Proportional-Integral-Derivative (PID), robust, Model Predictive Control (MPC), and Fault Tolerant Control (FTC) are analyzed. Evaluation metrics encompass stability, accuracy, computational complexity, and response speed. This paper provides a comparative analysis, encapsulating the strengths and limitations of each MPPT and PEM control technique.

Indexed as

Control strategiesHydrogenMPPTPEMPhotovoltaic

Identifiers

PMID40093574
PMCPMC11910353

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.