Optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology

Neha, Shukla; Remya, Neelancherry

doi:10.1016/j.jenvman.2021.113345

Cited by 35 publications

(7 citation statements)

References 39 publications

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“… The characterization of FW and LDPE (Proximate analysis by APHA, 2012; ultimate analysis by Elemental analyzer, Euro Vector EA3000, Germany; HHV analysis by Bomb calorimeter, Rajdhani Co. Lim, Model RSB-5, India) and microwave co-pyrolysis reactor (Ragatech, India) description and experimental procedure was done following the previously published procedures [ 5 , 6 ]. Before the microwave co-pyrolysis process, nitrogen gas was purged for 20 min at the rate of 1 L/min to create the inert atmosphere.…”

Section: Methodsmentioning

confidence: 99%

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

Neha

Remya

2022

Data in Brief

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Section: Methodsmentioning

confidence: 99%

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

Neha

Remya

2022

Data in Brief

Self Cite

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“…Among the applications of data-driven methods in pyrolysis modeling, 49% developed MPR models to recover biochar or bio-oil from dry feedstocks using both primary and secondary data of operational parameters (Figure a and Table S9). ,,− Operational parameters of the data-driven pyrolysis models typically included temperature, heating rate, gas flow rate, and residence time. Only 8% of the pyrolysis data-driven models were based on MLR (Figure a and Table S9).…”

Section: Applications Of Data Science In Rrcc From Organic Waste Streamsmentioning

confidence: 99%

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

Zaki,

Rowles,

Adjeroh

et al. 2023

ACS EST Eng.

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Municipal and agricultural organic waste can be treated to recover energy, nutrients, and carbon through resource recovery and carbon capture (RRCC) technologies such as anaerobic digestion, struvite precipitation, and pyrolysis. Data science could benefit such technologies by improving their efficiency through data-driven process modeling along with reducing environmental and economic burdens via life cycle assessment (LCA) and techno-economic analysis (TEA), respectively. We critically reviewed 616 peer-reviewed articles on the use of data science in RRCC published during 2002−2022. Although applications of machine learning (ML) methods have drastically increased over time for modeling RRCC technologies, the reviewed studies exhibited significant knowledge gaps at various model development stages. In terms of sustainability, an increasing number of studies included LCA with TEA to quantify both environmental and economic impacts of RRCC. Integration of ML methods with LCA and TEA has the potential to costeffectively investigate the trade-off between efficiency and sustainability of RRCC, although the literature lacked such integration of techniques. Therefore, we propose an integrated data science framework to inform efficient and sustainable RRCC from organic waste based on the review. Overall, the findings from this review can inform practitioners about the effective utilization of various data science methods for real-world implementation of RRCC technologies.

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“…In order to ensure the correctness of the model, the reliable model equation was obtained by the leave-one-out (LOO) cross-validation method. In addition, Neha et al [120] optimized the operating parameters of the co-pyrolysis experiment of kitchen waste and LDPE by CCD and RSM and established a credible response prediction and a verifiable mathematical model by regression analysis combined with the experimental results. Among them, the model error of liquid oil was 4.8-7.1%.…”

Section: Modeling and Simulation Researchmentioning

confidence: 99%

A Review on the Microwave-Assisted Pyrolysis of Waste Plastics

Yang

Shang

et al. 2023

Processes

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The exhaustion of fossil energy and the severe pollution induced by using plastics has forced people to embark on the road to sustainable development. The high value of the recycling of plastics has become an important part of energy conservation. Microwave treatment, owning specific interactions between the electric field and the molecules of treated materials, presents potential advantages in the application of plastic pyrolysis. Therefore, the research status of the microwave-assisted pyrolysis (MAP) of plastics to produce high-value-added liquid oil, gas, and solid carbon was reviewed in this paper. The effects of plastic properties, microwave treatment parameters, microwave absorbers, co-pyrolysis, catalysts, and reactor devices on the process and the products were analyzed. It is essential to optimize the experimental design by studying microwave-assisted co-pyrolysis technology and the application of catalysts, understanding the mechanism of co-pyrolysis to improve product selectivity. At the same time, the continuous MAP device for large-scale plastics treatment still needs to be developed. In addition, developing a large-scale simulation computing research platform for screening catalysts, optimizing processes, and commercial production is required to make the process more efficient.

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Optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology

Cited by 35 publications

References 39 publications

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

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

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

A Review on the Microwave-Assisted Pyrolysis of Waste Plastics

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