Biomass-Based Microbial Protein Production: A Review of Processing and Properties DOI Creative Commons
Tawakalt Ayodele, Abodunrin Tirmidhi Tijani,

Musiliu Liadi

et al.

Frontiers in Bioscience-Elite, Journal Year: 2024, Volume and Issue: 16(4)

Published: Dec. 25, 2024

A rise in population and societal changes have increased pressure on resources required to meet the growing demand for food changing dietary preferences. The increasing animal protein is concerning raises questions regarding sustainability due its environmental impact. Subsequently, scientists seek alternative proteins, such as microbial proteins (MPs), an environmentally friendly choice. production of MPs promotes benefits, including reducing deforestation CO2 emissions. Several microorganism types, bacteria, yeast, fungi, algae, use a variety substrates MP production, from agricultural residues lignocellulosic biomass. These complex substrates, biomass, are converted fermentable sugar through either chemical, physical, or biological methods. Indeed, fermentation can occur submerged cultures other However, this depends substrate microorganisms being utilized. properties that make them versatile useful ingredients various applications. Using biomass raw materials producing offers sustainability, cost-effectiveness, waste reduction advantages. consistent with principles established by green chemistry, which aims conserve effectively operate sustainably all areas. This review highlights importance studying manufacturing aspects characteristics associated MPs, be implemented solve problems encourage novel methods global food/feed industry.

Language: Английский

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms DOI Creative Commons
Thanh Tuan Le, Prabhu Paramasivam,

Elvis Adril

et al.

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(4), P. 783 - 813

Published: June 7, 2024

This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on energy domains solar, wind, biofuel, biomass. Critical problems such as data variability, system inefficiencies, predictive maintenance are addressed by integration ML in systems. Machine improves solar irradiance prediction accuracy maximizes photovoltaic performance sector. help to generate electricity more reliably enhancing wind speed forecasts turbine efficiency. efficiency biofuel production optimizing feedstock selection, process parameters, yield forecasts. Similarly, models biomass provide effective thermal conversion procedures real-time management, guaranteeing increased operational stability. Even enormous advantages, quality, interpretability models, computing requirements, current systems still remain. Resolving these issues calls interdisciplinary cooperation, developments computer technology, encouraging legislative frameworks. study emphasizes vital role promoting sustainable efficient giving a thorough present applications highlighting continuing problems, outlining future prospects

Language: Английский

Citations

3

Improving syngas yield and quality from biomass/coal co-gasification using cooperative game theory and local interpretable model-agnostic explanations DOI
Cristina Efremov, Thanh Tuan Le, Prabhu Paramasivam

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 96, P. 892 - 907

Published: Nov. 29, 2024

Language: Английский

Citations

3

Biomass and Operational Initiatives for Sustainable Bioenergy Generation DOI Creative Commons
A. Karthik,

V Asha,

Ginni Nijhawan

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 529, P. 02014 - 02014

Published: Jan. 1, 2024

The global shift towards sustainable energy resources highlights the importance of biomass as a promising path for generating green, renewable energy. This study synthesizes modern research and technological improvements in feedstocks, bioenergy conversion approaches, integrated biorefinery systems. It explores multifaceted position addressing power safety, mitigating climate change, fostering financial improvement, particular emerging economies. paper evaluates diverse resources, along with lignocellulosic materials, dairy waste, microalgae, discusses their into biofuels biochemicals via tactics including fermentation, anaerobic digestion, biochemical conversion. similarly delves environmental monetary implications usage, highlighting challenges opportunities enhancing efficiency, reducing fees, making sure sustainability. By supplying comprehensive evaluate country future instructions research, this pursuit to make contributions development low-carbon, fuel options advance transition more varied portfolio.

Language: Английский

Citations

1

Co-gasification of waste biomass-low grade coal mix using downdraft gasifier coupled with dual-fuel engine system: Multi-objective optimization with hybrid approach using RSM and Grey Wolf Optimizer DOI
Thanh Tuan Le, Prabhakar Sharma, Bhaskor Jyoti Bora

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 191, P. 234 - 248

Published: Aug. 23, 2024

Language: Английский

Citations

1

Using hydrogen as potential fuel for internal combustion engines: A comprehensive assessment DOI Creative Commons

D. Huynh,

Thanh Hai Nguyen,

Duc Chuan Nguyen

et al.

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 14(1), P. 83 - 103

Published: Jan. 1, 2024

This comprehensive review explores the feasibility and potential of using hydrogen gas as a fuel for internal combustion engines, topic growing importance in context global efforts to reduce greenhouse emissions transition towards sustainable energy sources. Hydrogen, known its high content clean properties, presents promising alternative traditional fossil fuels. paper examines chemical properties benefits over conventional fuels, particularly focusing on technological advancements modifications required compression ignition spark engines efficiently utilize hydrogen. The delves into necessary engine design modification, injection systems, characteristics, emission control technologies specific both engines. Furthermore, it addresses environmental impacts, including reductions gases other pollutants, evaluates economic implications, such production costs compared solutions. Key challenges associated with storage, distribution, safety are discussed, along solutions innovations currently under investigation. aims provide thorough understanding current state guiding future research development this vital field.

Language: Английский

Citations

1

Exploring the feasibility of dimethyl ether (DME) and LPG fuel blend for small diesel engine: A simulation perspective DOI Creative Commons

Thoai Anh Nguyen,

Thi Yen Pham,

Huu Cuong Le

et al.

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(3), P. 559 - 571

Published: April 20, 2024

There is a looming global crisis owing to the increase in greenhouse gases and escalating fossil fuel process. The issue further compounded by ongoing conflicts different places world. Hence, there an urgent need for bouquet of alternative fuels suitable power incumbent internal combustion engine. Among various options available Dimethyl Ether (DME) friendly environment fuel, easy liquefy, use diesel engines, while Liquefied Petroleum Gas (LPG) another potential engines. present study endeavor investigate characteristics engine powered with DME-diesel blends as pilot LPG was used main fuel. During testing, diesel-DME were containing 0%, 25%, 50%, 75% DME. AVL Boost software employed modeling performance tailpipe emission. test combination successful running sans any abnormality sound or performance. results showed carbon monoxide (CO) hydrocarbon (HC) emissions reduced using marginal oxides nitrogen (NOx) levels. In general, DME could be considered promising solution reducing pollutant emissions.

Language: Английский

Citations

0

Prognostic Modelling of Biomethane Production from Waste: Application of Extreme Gradient Boosting DOI Creative Commons

Thi Yen Pham,

Lan Huong Nguyen

International Journal on Computational Engineering, Journal Year: 2024, Volume and Issue: 1(1), P. 21 - 26

Published: March 30, 2024

The escalating fossil fuel prices and greenhouse gases need urgent attention for a sustainable solution. present study explores as modern machine learning approaches can be employed to prognosticate the complex biomethane generation process from organic wastes, like biowaste or food waste. research investigates use of sludges how intelligent comprehend nonlinear processes involved in production. Linear regression Extreme gradient boosting (XGBoost) based prediction-models were developed assessed employing diverse set statistical parameters, including R, R2, Mean Squared Error (MSE), Absolute (MAE), Kling-Gupta Efficiency (KGE). results show that XGBoost model beat classical Regression (LR) both training testing phases. During training, had an impressive R2 value 0.99994, indicating perfect fit data. In contrast, LR achieved 0.65464. Similarly, during test period, outperformed with values ​​of 0.9553 0.9902. Furthermore, reduced prediction errors, significantly lower MSE MAE ​​than LR. Taylor’s graph better illustrates excellent performance over testing. These data demonstrate ability predict production, well its improve production process.

Language: Английский

Citations

0

Caffeic acid complexes over alumina surface: FTIR, TPD MS and DFT calculations DOI Open Access
Nataliia Nastasiienko, Tetiana Kulik, Mykola M. Ilchenko

et al.

Himia Fizika ta Tehnologia Poverhni, Journal Year: 2024, Volume and Issue: 15(3), P. 429 - 438

Published: Sept. 6, 2024

Caffeic acid (CA) is a phenolic, natural, biologically active compound with pronounced antioxidant and antimicrobial properties. It has great potential for use in medicine cosmetology can also be used to obtain number of other useful chemicals. Therefore, research aimed at improving the technologies removing caffeic from plant raw materials its processing relevant. In our work, we have studied complexes nanosized Al2O3, which usually various biomass conversion technologies, using FT-IR spectroscopy, temperature-programmed desorption mass spectrometry (TPD MS), DFT calculations. The spectra analysis shows that CA interact aluminum oxide via both carboxyl phenolic groups. Based on measured differences between carbonyl symmetric asymmetrc vibrational peaks (Δν), it was found carboxylate Al2O3 surface bidentate monodentate structures. spectrometric data made possible identify compounds 4-vinyl catechol, pyrocatechol, phenol, are decomposition products formed complexes. CA/Al2O3 samples, chelate complexes, participation OH groups aromatic ring, predominate.

Language: Английский

Citations

0

Biomass-Based Microbial Protein Production: A Review of Processing and Properties DOI Creative Commons
Tawakalt Ayodele, Abodunrin Tirmidhi Tijani,

Musiliu Liadi

et al.

Frontiers in Bioscience-Elite, Journal Year: 2024, Volume and Issue: 16(4)

Published: Dec. 25, 2024

A rise in population and societal changes have increased pressure on resources required to meet the growing demand for food changing dietary preferences. The increasing animal protein is concerning raises questions regarding sustainability due its environmental impact. Subsequently, scientists seek alternative proteins, such as microbial proteins (MPs), an environmentally friendly choice. production of MPs promotes benefits, including reducing deforestation CO2 emissions. Several microorganism types, bacteria, yeast, fungi, algae, use a variety substrates MP production, from agricultural residues lignocellulosic biomass. These complex substrates, biomass, are converted fermentable sugar through either chemical, physical, or biological methods. Indeed, fermentation can occur submerged cultures other However, this depends substrate microorganisms being utilized. properties that make them versatile useful ingredients various applications. Using biomass raw materials producing offers sustainability, cost-effectiveness, waste reduction advantages. consistent with principles established by green chemistry, which aims conserve effectively operate sustainably all areas. This review highlights importance studying manufacturing aspects characteristics associated MPs, be implemented solve problems encourage novel methods global food/feed industry.

Language: Английский

Citations

0