78
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Improving solar still productivity via fin optimization: computational and experimental investigations

ORCID Icon, &
Pages 1260-1283 | Received 11 Oct 2023, Accepted 18 Dec 2023, Published online: 04 Jan 2024
 

ABSTRACT

Solar desalination offers a promising solution to conserve energy and meet the growing demand for freshwater. To improve the productivity of solar stills, the incorporation of fins on the absorber has been explored. This study aims at investigating the impact of various fin geometric parameters on solar still efficiency using an experimentally validated Computational Fluid Dynamics (CFD) model. The study specifically examines the height, width, and spacing between the fins, with three levels assessed for each parameter. Solar radiation and temperature distributions are measured through an experimental design. The discrete ordinate (DO) model is used to capture the solar radiation, while the k-ε Renormalization-group (RNG) is employed to investigate the effect of the turbulence. To ensure mesh independent results, a grid size independence test is conducted. The CFD results are validated against experiments, demonstrating an error less than 4%. The findings show that fins having a height of 30–50 mm increase basin temperature by 2.6%, boosting freshwater productivity by 0.03 l/m2.h, and improving solar still efficiency by 1.74%. Widening fin width raises water basin temperature by 10.4%, resulting in 4% efficiency enhancement. Reducing fin spacing from 130 mm to 30 mm increases productivity by 0.04 l/m2.h, which corresponds to 2.48% efficiency improvement. These findings suggest a careful consideration of fin design parameters can further enhance this efficiency.

Nomenclature

Abbreviations=
M˙w=

Hourly productivity

\dotm=

Mass transfer

a=

accuracy

CFD=

Computational Fluid Dynamics

CSS=

Conventional Solar Still

DO=

Discrete Ordinates

E=

Energy

F=

Force, N

FSS=

Finned Solar Still

g=

gravity

G=

Generation of energy

h=

height, mm

h=

Enthalpy

I=

Solar Intensity

IR=

Infrared

K=

conductivity

P=

Pressure

PCM=

Phase change Material

RTE=

Radiative Transfer Equation

s=

Spacing, mm

Sh=

heat source

Sm=

Source term

SS=

Solar Still

T=

Temperature

TSS=

Tubular Solar Still

U=

Uncertainty

VOF=

Volume Of Fluid

w=

Width, mm

Greek symbols=
µ=

Dynamic viscosity Pa.s

ơ=

Stefan-Boltzman coefficient, W/m2.K4

α=

Volume fraction

ε=

Emissivity

ζ=

Transmissivity

η=

Efficiency

ρ=

Density, kg.m-3

φ=

phase function

Ω=

Solid angle

Subscripts=
b=

resilience

cw=

water condensation

d=

daily

e=

evaporation

eff=

effective

ew=

water evaporation

g=

glass

j=

species

k=

kinetic

l=

condensation

m=

material

p=

phase p

q=

phase q

sat=

saturation

t=

time

v=

vapor

w=

water

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Zouhayar Al Adel

Zouhayar Al Adel is a university teacher in mechanical engineering, currently affiliated with the Higher Institute of Technological Studies in Medenine and the University of Gabes, Tunisia. He received his Ph.D. degree in mechanical and energy engineering from the National Engineering School at the University of Gabes, Tunisia. Dr. Al Adel’s research focus lies at the renewable energy applications and the mechanics of materials. He served as the head of the Mechanical Engineering Department at ISET Medenine for an extended period. Additionally, he took on the role of coordinator for an international project aimed at establishing a CAD certification center. His contributions included overseeing numerous training cycles for professionals in various mechanical engineering fields.

Abdallah Bouabidi

Abdallah Bouabidi is an associate professor at the University of Gabes. He holds a Ph.D. in mechanical engineering from the University of Sfax. His research interests focus on solar energy applications.

Mouldi Cherigui

Mouldi Chrigui is a professor at the National Engineering School at the University of Gabes, Tunisia, where he serves as the head of the Mechanical, Modeling, Energy, and Materials Research Unit. He earned his Ph.D. from the Technical University of Darmstadt, Germany. For several years, Dr.-Ing. Chrigui worked as a Research Associate Professor at the Institute of Energy and Power Plant Technology, Technical University of Darmstadt, Germany. Internationally recognized as an expert in the Computational Fluid Dynamics (CFD) modeling of combustion and dispersion of pollutants, Dr.-Ing. Chrigui has contributed significantly to this field. His extensive experience includes serving as a coordinator for numerous international projects and providing expert consultancy to various industrial companies.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.