Evidence map›Paper›PMID 39286075›Full record

ArticleHeliyon2024

Assessing PV inverter efficiency degradation under semi-arid conditions: A case study in Morocco.

Oussama Idbouhouch, Nabila Rabbah, Nassim Lamrini, Hicham Oufettoul, Ibtihal Ait Abdelmoula, Mourad Zegrari

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Oussama IdbouhouchLaboratory of Complex Cyber Physical Systems (LCCPS), The National Higher School of Arts and Crafts (ENSAM), Hassan II University, 20000, Casablanca, Morocco.
Nabila RabbahLaboratory of Complex Cyber Physical Systems (LCCPS), The National Higher School of Arts and Crafts (ENSAM), Hassan II University, 20000, Casablanca, Morocco.
Nassim LamriniGreen Energy Park, Km 2 Route Régionale R206, 43150, Benguerir, Morocco.
Hicham OufettoulGreen Energy Park, Km 2 Route Régionale R206, 43150, Benguerir, Morocco.
Ibtihal Ait AbdelmoulaGreen Energy Park, Km 2 Route Régionale R206, 43150, Benguerir, Morocco.
Mourad ZegrariLaboratory of Complex Cyber Physical Systems (LCCPS), The National Higher School of Arts and Crafts (ENSAM), Hassan II University, 20000, Casablanca, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide shift towards renewable energy sources, including solar and wind, is progressing rapidly. This change is driven by decreasing prices and technical advancements that are becoming more centralized. The objective is to develop a cutting-edge approach and technology that seamlessly incorporates photovoltaic (PV) energy sources into a power network while ensuring grid stability. This research evaluates the lifetime and degradation of PV inverters under real operating conditions, focusing on semi-arid climate scenarios. Current papers demonstrate a yearly failure rate of 1-15% for PV inverters, highlighting the need for a thorough reliability evaluation. This investigation research applied a unique technique that included continuous monitoring of PV inverter performance parameters by comparing the measured with the predicted normal operating output. The results show that Sandia's inverter performance model is highly suitable for accurately modeling normal PV inverter behavior. Furthermore, weighted efficiency dropped by 3.96%, 0.63% and 1.29% respectively for

Indexed as

DegradationDriesse modelMonitoringPV inverterPVWattsSandiaSemi-arid climate

Identifiers

PMID39286075
PMCPMC11402966

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.