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20th International Conference on Information Technology Based Higher Education and Training, ITHET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2269533
2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 ; 1676 CCIS:308-319, 2022.
Article in English | Scopus | ID: covidwho-2173755
11th International Workshop on Innovative Simulation for Health Care, IWISH 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2164749
International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing, JCM 2022 ; : 217-228, 2023.
Article in English | Scopus | ID: covidwho-2094412
Computer Aided Chemical Engineering ; 49:59-64, 2022.
Article in English | Scopus | ID: covidwho-2014701
5th International Conference on Traffic Engineering and Transportation System, ICTETS 2021 ; 12058, 2021.
Article in English | Scopus | ID: covidwho-1962042
Pharmaceutical Technology ; 45(11):34-40, 2021.
Article in English | EMBASE | ID: covidwho-1935337
Journal of Excipients and Food Chemicals ; 13(1), 2022.
Article in English | EMBASE | ID: covidwho-1812893
Physiotherapy (United Kingdom) ; 114:e102-e103, 2022.
Article in English | EMBASE | ID: covidwho-1701791
Comput Chem Eng ; 160: 107741, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1693719


After more than a year of online teaching resulting from the COVID-19 pandemic, it is time to take stock of the status quo in teaching practice in all things concerning process systems engineering (PSE), and to derive recommendations for the future to harness what we have experienced to improve the degree to which our students achieve mastery. This contribution presents the experiences and conclusions resulting from the first COVID-19 semester (spring 2020), and how the lessons learned were applied to the process design course taught in the second COVID-19 semester (winter 2020) to a class of 53 students. The paper concludes with general recommendations for fostering active learning by students in all PSE courses, whether taught online or face to face.

Renew Sustain Energy Rev ; 153: 111786, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1472162


Combating the COVID-19 pandemic has raised the demand for and disposal of personal protective equipment in the United States. This work proposes a novel waste personal protective equipment processing system that enables energy recovery through producing renewable fuels and other basic chemicals. Exergy analysis and environmental assessment through a detailed life cycle assessment approach are performed to evaluate the energy and environmental sustainability of the processing system. Given the environmental advantages in reducing 35.42% of total greenhouse gas emissions from the conventional incineration and 43.50% of total fossil fuel use from landfilling processes, the optimal number, sizes, and locations of establishing facilities within the proposed personal protective equipment processing system in New York State are then determined by an optimization-based site selection methodology, proposing to build two pre-processing facilities in New York County and Suffolk County and one integrated fast pyrolysis plant in Rockland County. Their optimal annual treatment capacities are 1,708 t/y, 8,000 t/y, and 9,028 t/y. The proposed optimal personal protective equipment processing system reduces 31.5% of total fossil fuel use and 35.04% of total greenhouse gas emissions compared to the personal protective equipment incineration process. It also avoids 41.52% and 47.64% of total natural land occupation from the personal protective equipment landfilling and incineration processes.

Appl Energy ; 283: 116129, 2021 Feb 01.
Article in English | MEDLINE | ID: covidwho-956908


The ongoing COVID-19 pandemic leads to a surge on consumption of respirators. This study proposes a novel and effective waste respirator processing system for protecting public health and mitigating climate change. Respirator sterilization and pre-processing technologies are included in the system to resist viral infection and facilitate unit processes for respirator pyrolysis, product separation, and downstream processing for greenhouse gas (GHG) emission reduction. We evaluate the system's environmental performance through high-fidelity process simulations and detailed life cycle assessment. Techno-economic analysis results show that the payback time of the waste respirator processing system is seven years with an internal rate of return of 21.5%. The tipping fee and discount rate are the most influential economic factors. Moreover, the unit life cycle GHG emissions from the waste respirator processing system are 12.93 kg CO2-eq per thousand waste respirators treated, which reduces GHG emissions by 59.08% compared to incineration-based system so as to mitigate climate change.