The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The energy and environmental footprints of COVID-19 fighting measures – PPE, disinfection, supply chains
Open accessAbstract
The still escalating COVID-19 pandemic also has a substantial impact on energy structure, requirements and related emissions. The consumption is unavoidable and receives a lower priority in the critical situation. However, as the pandemic continues, the impacts on energy and environment should be assessed and possibly reduced. This study aims to provide an overview of invested energy sources and environmental footprints in fighting the COVID-19. The required energy and resources consumption of Personal Protection Equipment (PPE) and testing kits have been discussed. The protecting efficiency returned on environmental footprint invested for masks has been further explored. The main observation pinpointed is that with a proper design standard, material selection and user guideline, reusable PPE could be an effective option with lower energy consumption/environmental footprint. Additional escalated energy consumption for aseptic and disinfection has been assessed. This includes the energy stemming from emergency and later managed supply chains. The outcomes emphasised that diversifying solutions to achieve the needed objective is a vital strategy to improve the susceptibility and provide higher flexibility in minimising the environmental footprints. However, more comprehensive research proof for the alternative solution (e.g. reusable option) towards low energy consumption without compromise on the effectiveness should be offered and advocated.
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Cites
Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents.
Kampf, G., Todt, D., Pfaender, S., & Steinmann, E. (2020) · Journal of Hospital Infection · doi:10.1016/j.jhin.2020.01.022 · Cited by 3,796
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Temporary reduction in daily global CO2 emissions during the covid-19 forced confinement
Le Quéré, C., Jackson, R. B., Jones, M. W., Smith, A. J. P., Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y., Canadell, J. G., et al. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0797-x · Cited by 2,258
Effect of restricted emissions during COVID-19 on air quality in India
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COVID-19 Pandemic Repercussions on the Use and Management of Plastics
Prata, J. C., Silva, A. L. P., Walker, T. R., Duarte, A. C., & Rocha-Santos, T. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c02178 · Cited by 999
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Self-citationAerosol filtration efficiency of common fabrics used in respiratory cloth masks
Konda, A., Prakash, A., Moss, G. A., Schmoldt, M., Grant, G. D., & Guha, S. (2020) · ACS Nano · doi:10.1021/acsnano.0c03252 · Cited by 934
What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios
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A Review of Footprint analysis tools for monitoring impacts on sustainability
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Cited by
(2021) · doi:10.3390/en14185917 · Cited by 708
Wang, Q., & Zhang, F. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126265 · Cited by 268
Data analytics of social media publicity to enhance household waste management
Jiang, P., Fan, Y. V., & Klemeš, J. J. (2021) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2020.105146 · Cited by 73
Self-citationThinking green: Modelling respirator reuse strategies to reduce cost and waste
Chu, J., Ghenand, O., Collins, J., Byrne, J., Wentworth, A., Chai, P. R., Dadabhoy, F., Hur, C., & Traverso, G. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-048687 · Cited by 30
Metadata
- Authors
- Klemeš, J. J., Fan, Y. V., & Jiang, P.
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 211
- Pages
- 118701
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W3080870134
- Cited by
- 258
- References
- 54
- FWCI
- 19.00
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.