Experimental analysis of solar powered disinfection tunnel mist spray system for coronavirus prevention in public and remote places

Khan, Osama; Khan, Mohd Zaheen; Khan, Mohd Tauseef; Goyal, Alok; Bhatt, Bhupendra Kumar; Khan, Amaanullah; Parvez, Mohd

doi:10.1016/j.matpr.2021.04.440

Cited by 22 publications

(7 citation statements)

References 11 publications

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“…The ever-increasing population has put surplus load on the existing crude oil resources, which are estimated to deplete before their allotted time period . Combustion of fossil fuels is another problem that is responsible for degrading the environment and spreading viruses such as MERS, SARS, and COVID-19 . These particles are capable of amalgamating with existing emission particles, thereby spreading among communities.…”

Section: Introductionmentioning

confidence: 99%

“… 4 Combustion of fossil fuels is another problem that is responsible for degrading the environment and spreading viruses such as MERS, SARS, and COVID-19. 5 These particles are capable of amalgamating with existing emission particles, thereby spreading among communities. Thus, economic dependency, social insecurity, enormous petrodollar reserve, and effluents damaging the environment have led to various studies being carried out in nonconventional oil-based resources, which have been established as suitable and efficient alternatives for fossil oils in engines.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Khan

Alam³

et al. 2023

ACS Omega

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Since the discovery of petrol-based products, a surge in energy-requiring equipment has been established across the world. Recent depletion of the existing crude oil resources has motivated researchers to opt for and analyze potential fuels that could potentially provide a cost-effective and sustainable solution. The current study selects a waste plant known as Eichhornia crassipes through which biodiesel is generated, and its blends are tested in diesel engines for feasibility. Different models using soft computing and metaheuristic techniques are employed for the accurate prediction of performance and exhaust characteristics. The blends are further mixed with nanoadditives, thereby exploring and comparing the changes in performance characteristics. The input attributes considered in the study comprise engine load, blend percentage, nanoparticle concentration, and injection pressure, while the outcomes are brake thermal efficiency, brake specific energy consumption, carbon monoxide, unburnt hydrocarbon, and oxides of nitrogen. Models were further ranked and chosen based on their set of attributes using the ranking technique. The ranking criteria for models were based on cost, accuracy, and skill requirement. The ANFIS harmony search algorithm (HSA) reported a lower error rate, while the ANFIS model reported the lowest cost. The optimal combination achieved was 20.80 kW, 2.48047, 150.501 ppm, 4.05025 ppm, and 0.018326% for brake thermal efficiency (BTE), brake specific energy consumption (BSEC), oxides of nitrogen (NOx), unburnt hydrocarbons (UBHC), and carbon monoxide (CO), respectively, thereby furnishing better results than the adaptive neuro-fuzzy interface system (ANFIS) and the ANFIS−genetic algorithm model. Henceforth, integrating the results of ANFIS with an optimization technique with the harmony search algorithm (HSA) yields accurate results but at a comparatively higher cost.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Khan

Alam³

et al. 2023

ACS Omega

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“…In earleier bioenergy has shown impecable potential replacement to petro-diesel; nevertheless, high starting prices, poor generation rates, deficiency of knowledge, incorrect physiochemical qualities, and high creation charges taken as a proven to be important challenges for biofuels to become generally embraced [4]. To this point, non-edible oils and waste resources have been identified as a candidate for the role of replacement for crude oil [5]. The production of oil that is not edible needs a huge amount of land, which is not feasible in countries with a high population density per square kilometre [6,7].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Compression Ignition Engine by Soft Computing Techniques (ANFIS-NSGA-II and RSM) to Enhance the Performance Characteristics for Leachate Blends with Nano-additives

Khan

Parvez

Kumari

et al. 2023

Preprint

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The focus of this study is on the potential of using oils extracted from food waste that ended up in landfills. These waste oils were tested to see how they affected performance and emissions in diesel engines. The study's results are analysed and compared with models created using intelligent hybrid prediction approaches including adaptive neuro-fuzzy inference system (ANFIS), response surface methodology (RSM) - genetic algorithm (GA), and ANFIS - non sorting genetic algorithm (NSGA-II). The analysis takes into account engine load, blend percentage, nanoadditive concentration, and injection pressure, and the desired responses are the thermal efficiency and specific energy consumption of the brakes, as well as the concentrations of carbon monoxide, unburned hydrocarbon, and oxides of nitrogen. Root-mean-square error (RMSE) and the coefficient of determination (R2) were used to assess the predictive power of the model (R2). Comparitevely to AI and the RSM-GA model, the results provided by ANFIS-NSGA-II are superior. This is because it achieved a pareto optimum front of 24.45 kW, 2.76, 159.54 ppm, 4.68 ppm, and 0.020243% for BTE, BSEC, NOX, UBHC, and CO. Combining the precision of ANFIS's prediction with the efficiency of NSGA-optimization II's gives a reliable and thorough evaluation of the engine's settings.

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“…Recently, as part of fighting the spread of COVID-19, Abu-Zidan et al [ 37 ] proposed a prefabricated portable chamber that sprays individuals with fine mist sanitizing fluid to disinfect the clothing and exposed surfaces of people. For their part, Khan et al [ 38 ] studied a solar-powered disinfection tunnel mist spray to disinfect individuals’ clothing in large gatherings. Previously, in order to disinfect various surfaces, including synthetic-fiber carpets and cotton fabric, Callahan et al [ 39 ] developed a chamber for the application of a nebulized disinfectant.…”

Section: Introductionmentioning

confidence: 99%

Application of an Ultrasonic Nebulizer Closet in the Disinfection of Textiles and Footwear

Henriques

Rito

Proença

et al. 2022

IJERPH

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The emergence of the coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of disinfection processes in health safety. Textiles and footwear have been identified as vectors for spreading infections. Therefore, their disinfection can be crucial to controlling pathogens’ dissemination. The present work aimed to evaluate the effectiveness of a commercial disinfectant aerosolized by an ultrasonic nebulizer closet as an effective method for disinfecting textiles and footwear. The disinfection was evaluated in three steps: suspension tests; nebulization in a 0.08 m3 closet; nebulization in the upscaled 0.58 m3 closet. The disinfection process of textiles and footwear was followed by the use of bacteriophages, bacterial spores, and bacterial cells. The disinfection in the 0.58 m3 closet was efficient for textiles (4 log reduction) when bacteriophage Lambda, Pseudomonas aeruginosa, and Bacillus subtilis were used. The footwear disinfection was achieved (4 log reduction) in the 0.08 m3 closet for Escherichia coli and Staphylococcus aureus. Disinfection in an ultrasonic nebulization closet has advantages such as being quick, not wetting, being efficient on porous surfaces, and is performed at room temperature. Ultrasonic nebulization disinfection in a closet proves to be useful in clothing and footwear stores to prevent pathogen transmission by the items’ widespread handling.

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Experimental analysis of solar powered disinfection tunnel mist spray system for coronavirus prevention in public and remote places

Cited by 22 publications

References 11 publications

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Modelling of Compression Ignition Engine by Soft Computing Techniques (ANFIS-NSGA-II and RSM) to Enhance the Performance Characteristics for Leachate Blends with Nano-additives

Application of an Ultrasonic Nebulizer Closet in the Disinfection of Textiles and Footwear

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