Evidence map›Paper›PMID 34608350›Full record

ArticleEnergy (Oxford, England)2022

Flexibility enhancement measures under the COVID-19 pandemic - A preliminary comparative analysis in Denmark, the Netherlands, and Sichuan of China.

Shihua Luo, Weihao Hu, Wen Liu, Zhou Liu, Qi Huang, Zhe Chen

Abstract read
In one paragraph

Article in Energy (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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

6 authors.

Shihua LuoSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Weihao HuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Wen LiuCopernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8a, 3584, CB, Utrecht, the Netherlands.
Zhou LiuDepartment of Energy Technology, Aalborg University, Pontoppidanstraede 111, Aalborg, Denmark.
Qi HuangSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Zhe ChenDepartment of Energy Technology, Aalborg University, Pontoppidanstraede 111, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic affects all the aspects of modern society worldwide, especially in the power sector. Measures of flexibility enhancement are regarded as solutions to guarantee reliable and flexible electricity supply in such an emergency. This study aims at investigating the impact of flexibility enhancement measures (electricity storage and flexible demand) in different situations of the preliminary COVID-19 pandemic. Case studies in different regions (Denmark, the Netherlands, and the Sichuan province of China) are conducted and assessed using the hourly simulation tool EnergyPLAN. These regions own different electricity supply mix and level of renewable electricity. It is found that the flexible demand measure within one day or one week can hardly eliminate the electricity imbalance caused by either the pandemic or the increasing renewable electricity. The monthly flexible demand is effective for balancing, but its potential in these regions is not enough. However, electricity storage measure enhances the electricity balance even during the most extreme situation of the pandemic. From the economic perspective, electricity storage measure leads to an increase of up to 15% in total system costs, while flexible demand measure has a negligible effect on costs. This study serves as the first step to understand the performance of flexibility enhancement measures in the power sector under the shock of a pandemic.

Indexed as

COVID-19 pandemicDenmarkElectricity storageEnergyPLANFlexible electricity demandSichuanThe Netherlands

Identifiers

PMID34608350
PMCPMC8481811

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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.