Raw and processed data set for optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology

dc.contributor.authorNeha S.; Remya N.en_US
dc.date.accessioned2025-02-17T10:08:18Z
dc.date.issued2022
dc.description.abstractThis scientific data article is related to the research work entitled �Optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology� published in �Journal of Environmental Management� (10.1016/j.jenvman.2021.113345). In this work, collection of Food Waste (FW) and Low-density polyethylene (LDPE) for 7 consecutive days and its characterization was done. Based on the characterization, the composition of simulated FW was fixed for different experimental runs. Valorization of feedstock (FW and LDPE) with increasing temperature with/without the presence of microwave susceptor was analyzed. Statistical significance of LDPE and microwave susceptor addition on bio-oil yield and Total Acid Number (TAN) was verified with single-factor ANOVA. The outcomes of the present dataset will be helpful for the researchers and engineers working in the field of bio-oil generation from microwave co-pyrolysis of mixed waste. � 2022en_US
dc.identifier.citation3en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.dib.2022.108093
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/3901
dc.language.isoenen_US
dc.subjectBio-oil yield; Food waste; Microwave co-pyrolysis; Single-factor ANOVA; Total acid numberen_US
dc.titleRaw and processed data set for optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodologyen_US
dc.typeData paperen_US

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