Evidence map›Paper›PMID 38822091›Full record

ArticleScientific reports2024

Exergoeconomic analysis and optimization of wind power hybrid energy storage system.

Caifeng Wen, Yalin Lyu, Qian Du, Boxin Zhang, Xuhui Lian, Qiang Wang, Hongliang Hao

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

7 authors.

Caifeng WenCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.
Yalin LyuCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China. lvyalin1999@163.com.
Qian DuCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.
Boxin ZhangCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.
Xuhui LianCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.
Qiang WangCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.
Hongliang HaoPeking University Ordos Research Institute of Energy, Ordos, China.

Funding

Inner Mongolia Autonomous Region Natural Science Foundation for Distinguished Young Scholars 2023JQ04National Natural Science Foundation of China 51966013
6 · The paper itself

Abstract

The hybrid energy storage system of wind power involves the deep coupling of heterogeneous energy such as electricity and heat. Exergy as a dual physical quantity that takes into account both 'quantity' and 'quality, plays an important guiding role in the unification of heterogeneous energy. In this paper, the operation characteristics of the system are related to the energy quality, and the operation strategy of the wind power hybrid energy storage system is proposed based on the exergoeconomics. First, the mathematical model of wind power hybrid energy storage system is established based on exergoeconomics. Then, wind power experiments of three forms of thermal-electric hybrid energy storage are carried out, and RSM is used to analyze the power quality and exergoeconomic characteristics of the system, and the optimal working conditions of the experiment are obtained. Finally, an optimization strategy is proposed by combining experiment and simulation. The system efficiency, unit exergy cost and current harmonic distortion rate are multi-objective optimization functions. The three algorithms evaluate the optimal solution based on standard deviation. The results show that the exergoeconomics can effectively judge the production-storage-use characteristics of the new system of ' wind power + energy storage'. The thermal-electric hybrid energy storage system can absorb the internal exergy loss of the battery, increase the exergy efficiency by 10%, reduce the unit exergy cost by 0.03 yuan/KJ, and reduce the current harmonic distortion rate by 8%. It provides guidance for improving the power quality of wind power system, improving the exergy efficiency of thermal-electric hybrid energy storage wind power system and reducing the unit cost.

Identifiers

PMID38822091
PMCPMC11637032

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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.