Development and selection of lignocellulose biomass and nano-additive combination for co-pyrolysis operation in power generation using hybrid prediction and Machine learning model – A k-means cluster approach DOI
Osama Khan,

Mohd Parvez,

Aiyeshah Alhodaib

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 72, P. 104061 - 104061

Published: Oct. 30, 2024

Language: Английский

Role of hydrogen-enrichment on performance and emission characteristics of a diesel engine fuelled with metal oxide nanoparticles added biodiesel/diesel blends:A combined neuro Fuzzy-Gaussian Mixture Model analysis DOI
Osama Khan, Ibrahim Alsaduni, Mohd Parvez

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 93, P. 1113 - 1126

Published: Nov. 11, 2024

Language: Английский

Citations

4
Exploring the properties of engineered biosorbents from rice straw for effective and economical remediation of Fe (II) and Ni (II) ions DOI
Mohamed Farouz, Mohamed Okil, Ayman M. Mostafa

et al.

Toxicological & Environmental Chemistry Reviews, Journal Year: 2025, Volume and Issue: 107(2), P. 245 - 272

Published: Jan. 20, 2025

Language: Английский

Citations

0
Fascinating physicochemical features of wasted biomass nanoscale biosorbent for heavy metal ions removal from water DOI Creative Commons
Mohamed N. Sanad, Mohamed Okil, Mohamed M. ElFaham

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

Citations

0
Optimization of Thermal Performance in Lauric Acid‐Based Phase Change Materials Using a Priority Clustering Approach DOI
Osama Khan, Mohd Parvez, Pratibha Kumari

et al.

Energy Storage, Journal Year: 2024, Volume and Issue: 6(6)

Published: Sept. 1, 2024

ABSTRACT This study investigates the thermal properties of lauric acid (LA) as a phase change material (PCM) using K ‐Means clustering method to analyze melting characteristics. focuses on optimization PCMs hybrid methodology analytic hierarchy process (AHP) and clustering. LA, enhanced with zinc oxide (ZnO) nanoparticles, was evaluated for its performance. LA's suitability PCM is based initial temperature, heating rate, final time melt. AHP employed determine weightage three critical outcomes: latent heat, point, conductivity. The weightages assigned were 59%, 31%, 11%, respectively, reflecting relative importance each outcome in assessing efficiency LA PCM. Furthermore, then applied categorize data these weighted outcomes. utilized input parameters, assigning 27% 15% 22% underscoring their significance analysis. optimal conditions identified an temperature 24.8°C, ieating rate 5.6°C/min, 81.4°C, melt 10.6 min. These resulted outcomes 208 J/g point 80.9°C, conductivity 0.21 W/m·K. approach provides robust framework optimizing performance, facilitating energy storage release practical applications.

Language: Английский

Citations

2
Development of a novel energy efficient integrated system for concurrent waste water treatment, hydrogen production and carbon capture- A sustainable approach DOI
Osama Khan, Mohd Zaheen Khan, Irfan Habib

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

2
Comparative analysis of machine learning and artificial intelligence models for optimizing mixed refrigerant characteristics in a hydrogen pre-cooling storage system DOI

Md Shaquib Equbal,

Osama Khan, Azhar Equbal

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 102, P. 114101 - 114101

Published: Oct. 18, 2024

Language: Английский

Citations

1
Cost-effective Cu 2+ and Pb 2+ remediation using peanut shell-derived biosorbents: a physicochemical investigation DOI
Mohamed N. Sanad, Mohamed Okil, Ayman M. Mostafa

et al.

International Journal of Environmental & Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Dec. 26, 2024

Heavy metals in water bodies are caused chiefly by anthropogenic activities: industrial wastes, agricultural runoff, mining and hazardous waste disposal further the causes. They could enter body through varied processes, including those direct contact with contaminated soils sediments, along atmospheric deposition. Recently, nanowaste biomass has been one of avenues for heavy metal removal from water. The following figures show that these nanoparticles prepared wastes can absorb ions. This adsorption involves complexation ions, which enhances binding; thus, be recovered using different desorption methods. innovative approach reduces concentrations to acceptable levels as required regulatory guidelines. It also provides a cost-effective environmentally benign alternative conventional remediation Various physical techniques then characterised obtained nano materials. crystal structure peanut shell (PS) its (PSNP) were described XRD, chemical composition was defined according Raman Spectroscopy FTIR. Present research identified biosorbent nanoparticle powder made shells 40 60 nm particle sizes, confirmed FESEM, HRTEM, BET Zeta analysis. PSNP efficiencies achieved Cu2+ Pb2+ 94% 91%, respectively. Contact time pH determine optimum conditions removing ions supplies.

Language: Английский

Citations

1
Recent advancements in nanoscale materials from biomass waste demonstrate efficacy in removing Fe2+ and Ni2+ from water DOI Creative Commons
Mohamed Farouz, Mohamed Okil, Ayman M. Mostafa

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Abstract Elevated concentrations of heavy metal ions are in many ways considered to be an affront the aquatic ecosystems; their sources being attributed mainly industries and agricultural sectors and, a lesser extent, urban water runoff during storms. Heavy that easily found include lead, mercury, chromium, cadmium, arsenic, copper. These metals, if ingested or inhaled, cause health hazards present great risks bodies because they reduce oxygen available fish other animals. One way prevent this problem is use nanoparticles at nano level obtained from industrial waste products for removal metals water. In adsorption process, tend attach exterior surfaces these nanoscale biomass particles, with possible aqueous phase. They also affirmed technical effectiveness nanowaste desalination reduces availability contaminants relatively cheaper more sustainable manner than conventional methods. study, synthesized (45–60 nm) pomegranate (PGSN) were used as biosorbents, which yielded high performances 85% Fe²⁺ 83% Ni²⁺ ions. The biosorbent was characterized using zeta size potential analyses, Field Emission Scanning Electron Microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM), Energy Dispersive X-ray Analysis (EDXA), Brunauer-Emmett-Teller (BET) surface analysis, High-, diffraction (XRD).

Language: Английский

Citations

0
Development and selection of lignocellulose biomass and nano-additive combination for co-pyrolysis operation in power generation using hybrid prediction and Machine learning model – A k-means cluster approach DOI
Osama Khan,

Mohd Parvez,

Aiyeshah Alhodaib

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 72, P. 104061 - 104061

Published: Oct. 30, 2024

Language: Английский

Citations

0