Emerging Technologies for Enhancing Microalgae Biofuel Production: Recent Progress, Barriers, and Limitations

Fermentation, Journal Year: 2022, Volume and Issue: 8(11), P. 649 - 649

Published: Nov. 17, 2022

The world has heavily relied on fossil fuels for decades to supply energy demands. However, the usage of been strongly correlated with impactful problems, which lead global warming. Moreover, excessive use led their rapid depletion. Hence, exploring other renewable and sustainable alternatives is imperative. One most fuel biofuel. Microalgae-based biofuels are receiving attention researchers due numerous advantages compared those obtained from types feedstocks. it essential explore recent technologies biofuel produced microalgae species define possible challenges that might be faced during this process. Therefore, work presents advancements in production microalgae, focusing emerging such as using nanomaterials genetic engineering. This review focuses impact nanoparticles harvesting efficiency various influence production. screening performed by genome-scale mutant libraries high-throughput may assist developing effective strategies enhancing microalgal strains oil through modification enzymes. Furthermore, barriers limit introduced. Even though microalgae-based perceived engage low negative impacts environment, paper touches several environmental issues associated cultivation species. economic technical feasibility limits biofuels.

Language: Английский

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Modeling and optimization of anaerobic digestion technology: Current status and future outlook

Progress in Energy and Combustion Science, Journal Year: 2024, Volume and Issue: 106, P. 101199 - 101199

Published: Oct. 18, 2024

Language: Английский

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How to Build a Bioeconomic Food System: A Thematic Review

Circular Economy and Sustainability, Journal Year: 2024, Volume and Issue: 4(3), P. 1697 - 1727

Published: June 19, 2024

Language: Английский

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Biogas production from Udara seeds inoculated with food waste digestate and its optimal output for energy utilities: Central composite design and machine learning approach

Energy Science & Engineering, Journal Year: 2024, Volume and Issue: 12(9), P. 3614 - 3630

Published: Aug. 19, 2024

Abstract Anaerobic digestion of abundant feedstock from biomaterials is a good innovative fossil fuel alternative approach for the synthesis green (biogas). Rotatable central composite design (CCD) and machine learning (ML) via Python coding were successfully used to design, optimize, predict rate biogas production stew‐rice eggs digestate with Udara seeds in an anaerobic unit. Two‐input parameters, such as inoculation ratio ( S / I ) hydraulic reaction time (HRT) considered, resulting 13 experimental setups under mesophilic surroundings 25–34°C. Mixture ratios substrate/inoculum 0.98:1, 1.5:1, 2.75:1, 4:1, 1.5: 1, 4.52:1 against 30, 20, 44.14, 15.86, 40, 30 days HRT modeled by CCD rotatable optimize crushed spoilt digestate. From results, it was observed that coefficient determination R 2 0.9573 generated whereas, 1 multivariate regression ML approach. Also, data graphs derived superior ones rotatable. However, maximum output 4.84 L at 4 mixing 40 close value 4.89 same input factors, yet yielded more. Thus, clear Python‐based algorithm has potential better than Gas Chromatography Mass Spectrometry analysis highest produced 63.29% biomethane 26.71% CO volume flashpoint −167°C which flammable. unit can be transmitted into large‐scale commercial applications betterment mankind.

Language: Английский

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Current and prognostic overview of digestate management and processing practices, regulations and standards

Biocatalysis and Agricultural Biotechnology, Journal Year: 2024, Volume and Issue: 61, P. 103345 - 103345

Published: Sept. 6, 2024

Language: Английский

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