Asmaa Taha Hussein

@ntu.edu.iq

Power Mechanics Techniques
Northern Technical University

Asmaa Taha Hussein
5

Scopus Publications

Scopus Publications

  • Impact of CuO+H2O nanofluid on the cooling towers performance with varying packing densities
    Husam Naufal Saleh Yassien, Ayad S. Abedalh, Omar M. Yousif, Asmaa T. Hussein
    Results in Engineering, 2025
    • Added packing layers boost cooling tower performance, particularly when using CuO+H2O mix. • Higher CuO+H2O nanofluid levels enhance CT metrics; 5 % solution lifts key parameters by 7–15 %. • CuO concentration affects tower metrics nonlinearly; optimal results vary between 3 and 5 % levels. In this paper, the cooling tower (CT) performance has been experimentally investigated. Four types of packing with varying numbers of layers have been employed to investigate the impacts of packing density on the CT performance when using Copper Oxide (CuO) nanofluid as a working fluid. Three different concentrations (1, 3, and 5 %) of CuO+H 2 O nanofluid have been evaluated to assess the influence of nanoparticle concentration on the CT performance. The results show that adding more packing layers improves the thermal performance of the CT, regardless of the use of pure water or nanofluid. The effect is more pronounced when CuO+H 2 O nanofluid is employed. Furthermore, at a volume concentration of 5 % CuO+H 2 O nanofluid, the water temperature differential, cooling tower characteristic, and cooling efficiency increased by 15.3, 7, and 12.5 %, respectively, compared to pure water. However, the tower characteristic tends to increase for lower concentrations (3 %), but may decrease for higher concentrations (5 %). Nonetheless, the tower characteristic may ultimately increase for all concentration levels. Additionally, the impact of CuO+H 2 O nanofluid on temperature difference becomes more pronounced as the packing density increases. For example, the temperature differential of the water increases by around 7.5 % and 24.3 % for 7 and 20-layer packing, respectively. These findings suggest that utilizing CuO+H 2 O nanofluid as a circulating fluid in place of pure water can lead to improved thermal performance of CTs.
  • Experimental investigation for vapor compression system performance enhancement through condenser cooling by using shallow fluidized bed
    Ayad S. Abedalh, Asmaa Taha Hussein, Anwar Ahmed Yousif
    Journal of Thermal Analysis and Calorimetry, 2023
  • Enhancement performance of vapor compression system using nano copper oxide lubricant inside compressor and a fluidized bed for condenser cooling
    Asmaa Taha Hussein, Ayad S. Abedalh, Omar Rafae Alomar
    Case Studies in Thermal Engineering, 2023
    The current work focuses on the experimental research of a vapor compression cycle using Polyol Oil Ester (POE) with nano copper oxide (CuO) and a fluidized bed for condenser cooling to enhance its performance. The efficiencies of the modified and normal systems using only POE oil have been compared to present the actions of using nano CuO and a fluidized bed. Three volume fractions of CuO 0.1%, 0.3%, and 0.5% have been used. The fluidized bed contained a uniform particle size (0.5 mm) to sink heat from the condenser, where the bed height was 2.5 mm to get good mixing of particles. The experiment outcomes indicated that adding nanoparticles to the lubricant and using a fluidized bed for condenser cooling improves the refrigeration system's performance. The results demonstrated that employing nano-lubricant (POE oil+0.5% CuO) rather than just POE oil boosted the coefficient of performance of the system by approximately 15.96% while reducing power consumption by 50%. Also, the refrigeration impact was raised, and the compressor's performance was reduced with the volume fractions of CuO rising.
  • Impact of using triple adiabatic obstacles on natural convection inside porous cavity under non-darcy flow and local thermal non-equilibrium model
    Anwar Ahmed Yousif, Omar Rafae Alomar, Asmaa Taha Hussein
    International Communications in Heat and Mass Transfer, 2022
  • Prediction of global solar radiation on a horizontal surface using angstrom model
    Journal of Mechanical Engineering Research and Developments, 2021