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Search: WFRF:(AlMohamadi Hamad)

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1.
  • Kazmi, Bilal, et al. (author)
  • Towards a sustainable future : Bio-hydrogen production from food waste for clean energy generation
  • 2024
  • In: Process Safety and Environmental Protection. - : Institution of Chemical Engineers. - 0957-5820 .- 1744-3598. ; 183, s. 555-567
  • Journal article (peer-reviewed)abstract
    • To address climate change, energy security, and waste management, new sustainable energy sources must be developed. This study uses Aspen Plus software to extract bio-H2 from food waste with the goal of efficiency and environmental sustainability. Anaerobic digestion, optimised to operate at 20–25 °C and keep ammonia at 3%, greatly boosted biogas production. The solvent [Emim][FAP], which is based on imidazolium, had excellent performance in purifying biogas. It achieved a high level of methane purity while consuming a minimal amount of energy, with a solvent flow rate of 13.415 m³ /h. Moreover, the utilization of higher temperatures (600–700 °C) during the bio-H2 generation phase significantly enhanced both the amount and quality of hydrogen produced. Parametric and sensitivity assessments were methodically performed at every stage. This integrated method was practicable and environmentally friendly, according to the economic assessment. H2 generation using steam reforming results in a TCC of 1.92 × 106 USD. The CO2 separation step has higher costs (TCC of 2.15 ×107 USD) due to ionic liquid washing and CO2 liquefaction. Compressor electricity consumption significantly impacts total operating cost (TOC), totaling 4.73 × 108 USD. showing its ability to reduce greenhouse gas emissions, optimize resource utilization, and promote energy sustainability. This study presents a sustainable energy solution that addresses climate and waste challenges.
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2.
  • Khan, Abdul Ahad, et al. (author)
  • Algal biochar : A natural solution for the removal of Congo red dye from textile wastewater
  • 2024
  • In: Journal of the Taiwan Institute of Chemical Engineers / Elsevier. - : Elsevier. - 1876-1070 .- 1876-1089.
  • Journal article (peer-reviewed)abstract
    • The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 %) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals. 
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