Singh, et al (2024) Bio-oil yield maximization and characteristics of neem based biomass at optimum conditions along with feasibility of biochar through pyrolysis. AIP Advances. https://doi.org/10.1063/5.0214438


As fossil fuel reserves become increasingly unsustainable and their use drives up carbon dioxide emissions, the search for renewable energy sources has intensified. Biomass, a carbon-based resource similar to fossil fuels, has emerged as a promising alternative. Neem seeds, in particular, have shown potential due to their rich oil content and widespread availability in countries like India. This study explores the optimal conditions for maximizing bio-oil yield from neem biomass through pyrolysis, along with the feasibility of producing biochar.

Biomass, including neem seeds, is considered a renewable energy source that offers environmental benefits like low sulfur and CO2 emissions. The neem tree (Azadirachta indica) produces oil-rich seeds used in various applications such as medicine, personal care, agriculture, and bioenergy. The de-oiled cake, a by-product of oil extraction, is an excellent candidate for bio-oil production due to its high energy density and low sulfur content.

In this study, the researchers used response surface methodology (RSM) and artificial neural network (ANN) models to optimize the pyrolysis parameters for maximum bio-oil yield. The study focused on three key parameters: biomass particle size, temperature, and residence time. The optimal conditions were found to be a particle size of 3 mm, a temperature of 523°C, and a residence time of 20 minutes, achieving a maximum bio-oil yield of 47.1%.

Temperature emerged as the most significant factor influencing bio-oil yield, followed by particle size and residence time. Smaller particle sizes favor better heat transfer, leading to higher bio-oil production. However, excessive temperature and prolonged residence time can initiate cracking of volatile matter, reducing bio-oil yield and increasing syngas production.

The bio-oil obtained under optimal conditions was further analyzed for its physicochemical properties. The bio-oil’s kinematic viscosity was found to be 12.31 cSt, and its water content was 22.4%. These properties make the bio-oil suitable for use as boiler feedstock and steam generation fuel. The biochar produced during the process was also evaluated, showing potential for various applications.

Comparative analysis of the RSM and ANN models revealed that the ANN model outperformed the RSM model in terms of prediction accuracy. The ANN model demonstrated better fitting ability and predictive capability, making it a valuable tool for optimizing bio-oil production.

This study underscores the potential of neem-based biomass as a renewable energy source. By optimizing the pyrolysis process, it is possible to maximize bio-oil yield and produce valuable by-products like biochar. The findings highlight the importance of temperature, particle size, and residence time in achieving optimal bio-oil production. Moreover, the use of advanced modeling techniques like ANN can significantly enhance the efficiency and accuracy of the optimization process.

In conclusion, the study provides a comprehensive approach to maximizing bio-oil yield from neem biomass. By leveraging the benefits of renewable energy sources and advanced modeling techniques, it is possible to develop sustainable and efficient bioenergy solutions. The insights gained from this study can inform future research and applications in the field of bioenergy, contributing to the global effort to transition towards cleaner and more sustainable energy sources.


Leave a Reply

Trending

Discover more from Biochar Today

Subscribe now to keep reading and get access to the full archive.

Continue reading