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Valorisation of hazardous medical waste using steam injected plasma gasifier: a parametric study on the modelling and multi-objective optimisation by integrating Aspen plus with RSM.
Singh, Deepak Kumar; Tirkey, Jeewan V.
  • Singh DK; Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
  • Tirkey JV; Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
Environ Technol ; 43(27): 4291-4305, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2281617
ABSTRACT
The COVID-19 Pandemic has a detrimental effect on the environment related to the exponential rise in medical waste (MW). Extraction of energy from the toxic MW with the latest gasification technology instead of conventional incineration is of utmost importance to promote sustainable development. This present study investigates the processing of MW for the generation of enriched hydrogen syngas using steam injected plasma gasifier. Modelling of Plasma gasifier was performed in Aspen Plus and Model validation was done with the experimental result and, a good agreement was attained. Sensitivity analysis was implemented on MW in which the influence of gasification temperature, equivalence ratio (ER), and Steam/Biomass (S/B) on the producer gas (PG) composition, gas yield, H2/CO ratio, cold gas efficiency (CGE), and the higher heating value (HHV) was calculated. Furthermore, Response surface methodology (RSM) has been incorporated for the multi-objective optimisation of the variable gasification parameters. R2 values obtained from ANOVA for H2, CGE, and HHV are 98.62%, 99.10%, and 98.9% respectively. Using the response optimiser, the optimum values of H2, CGE, and HHV were found to be 0.43 (mole frac), 89.95%, and 7.49 MJ/Nm3 for temperature at 1560.60°C, equivalence ratio 0.1, and S/B 0.99, respectively. The observed coefficient of desirability was about 0.97.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Medical Waste Type of study: Prognostic study Limits: Humans Language: English Journal: Environ Technol Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: 09593330.2021.1946599

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Medical Waste Type of study: Prognostic study Limits: Humans Language: English Journal: Environ Technol Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: 09593330.2021.1946599