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Swellam W. Sharshir

Researcher at Kafrelsheikh University

Publications -  132
Citations -  6736

Swellam W. Sharshir is an academic researcher from Kafrelsheikh University. The author has contributed to research in topics: Solar still & Desalination. The author has an hindex of 33, co-authored 94 publications receiving 3181 citations. Previous affiliations of Swellam W. Sharshir include Huazhong University of Science and Technology.

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Thermo-economic performance improvement of hemispherical solar still using wick material with V-corrugated basin and two different energy storage materials

TL;DR: In this article , the performance of a hemispheric solar still equipped with four alternative combinations was experimentally studied; and its thermo-economic performance was assessed; and the experimental work had four stages, firstly the distiller's flat basin was replaced by a V-corrugated basin.
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Planning optimization and stochastic analysis of RE-DGs for techno-economic benefit maximization in distribution networks

TL;DR: A novel methodology, namely Hybrid-PPSO-GSA, is proposed and applied to maximize the techno-economic benefits via an optimal RE-DG integrated system and the obtained results demonstrate the merits of the proposed scheme.
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An Experimental Investigation of Nanofluid, Nanocoating, and Energy Storage Materials on the Performance of Parabolic Trough Collector

TL;DR: In this article , an experimental setup was carried out in Kafrelshiekh city, Egypt to investigate the influence of the enhancing methods used on the thermal performance of PTC.
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A case study of SARS-CoV-2 transmission behavior in a severely air-polluted city (Delhi, India) and the potential usage of graphene based materials for filtering air-pollutants and controlling/monitoring the COVID-19 pandemic.

TL;DR: In this article, the role of graphene nanomaterials, which show antimicrobial behavior and have antiviral efficacy, in reducing the spread of COVID-19, was summarized, and it was envisioned that the present work will boost the development of graphene-based highly sensitive, accurate and cost-effective diagnostic tools for efficiently monitoring and controlling the spread.