UID:
almahu_9949772760402882
Umfang:
VI, 457 p. 50 illus., 40 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9783031523199
Serie:
Environmental Science and Engineering,
Inhalt:
This book presents technoeconomic challenges, recent trends, and developments toward sustainable algal biofuels and biorefinery. The exponential increase in population and thus the demand for energy, the ever-rising threats to climate change with conventional fossil fuels consumption, fluctuations in fossil fuels price and geopolitical instability have made each and every country of the world to think over its energy independence and security by increasing its own domestic energy production and reducing dependence on scarce fossil fuels. The global need to shift towards a sustainable source of energy has led to the discovery of third and fourth generation biofuels, in which microalgae and their genetically modified strains have been exploited. However, these simple photosynthetic organisms are difficult to select and cultivate for the production of biodiesel. Genetic engineering has opened provisions for the introduction of desired traits to such useful strains. There are also scopes for designing of novel photobioreactors (PBRs) having strain-specific physicochemical parameters, adequate CO2 and nutrient supply, and so on. The role of microalgae in CO2 sequestration from the environment is well known fact. Wastewater treatment plants can be used a raceway pond for the microalgal biomass production, and thus, obtained biomass can be used for biofuels and biochemical production. Mathematical modelling can be used to understand the complex phenomena inside the photobioreactor, which can be a great help to overcome the limitations related to design and scale up of PBRs. Flow hydrodynamics in PBRs has significant effect on the microalgae growth. Computational fluid dynamics (CFD) can be used to study operating and geometry factors in PBRs that influence the flow dynamics, such as the inlet gas flow rate, mixing, mass transfer, reactor geometry. The use of artificial intelligence (AI) particularly artificial neural network model (ANN model), statistical and evolutionary learning-based techniques are some innovative approaches in manipulating and optimizing productivity and costs in algal biofuel production. This book is aimed to bring several aspects of algal biorefinery and microalgal biofuel production, challenges, and future perspective of microalgal biofuel production at a single place.
Anmerkung:
Development of a smart microalgae strain: Selection and successful outdoor large-scale cultivation of robust microalgae strain having high growth rate, high biomass productivity, high lipid content and immunity towards invasion of other microorganisms -- High throughput screening of high lipid yielding strains -- Omics approach for enhanced microalgae biomass production with enhanced concentration of desired biomolecules -- Low-cost cultivation methods -- Development of cost effective, energy efficient and easy to operate biomass harvesting methods and dewatering technologies -- Economic, environment friendly and low-cost lipid extraction methods -- Lipid specific extraction method to minimize the co-extraction of non-lipid fractions -- Lipid extraction methods from wet microalgal biomass -- Simultaneous extraction, separation and characterization of biomolecules from microalgal biomass -- Direct transesterification of microalgal cells -- Real time biochemical profiling during microalgal cultivation -- Cost-effective downstream processing (DSP) of algal biomass for industrial scale biofuels production -- A continuous system of biofuel production from microalgal biomass -- Biorefinery for microalgal biomass at industrial production scale -- Modification in native strains for biofuel and by-products production without affecting the pool of indigenous wild strain verities -- Modification in biosynthesis pathways for specific biomolecules production without compromising with optimum cell growth and specific biomolecule yield -- Modification in environmental conditions for optimum specific biomolecules yield with compromising the cell growth rate and biomass productivity along with cost of production -- Modification in existing algal processing technologies to make it more cost-competitive and suitable to a wide range of algal species -- Development of scalable processing conversion technologies and its integration to biorefinery -- Reduction in production cost of algal biofuel and value-added by-products to current market prices derived from other than algae -- Mass transfer in transesterification as a rate limiting step -- Operational continuity -- Pre- treatment methods for effective resource recovery from microalgal biomass (ultrasound treatment, French pressing, microwave, thermal hydrolysis, enzymatic treatments ) -- Development of microalgal cell treatment methods to enhance extractability and bioavailability of therapeutically important biomolecules -- Genetic engineering to improve biosynthesis of a particular cell component -- Proteins to biofuels conversion through engineering nitrogen flux -- Application of chemicals to improve biosynthesis of high-value biomolecules -- Development of cost-effective high yielding cell disruption techniques -- Development of alternative to organic solvents for biorefinery.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031523182
Weitere Ausg.:
Printed edition: ISBN 9783031523205
Weitere Ausg.:
Printed edition: ISBN 9783031523212
Sprache:
Englisch
DOI:
10.1007/978-3-031-52319-9
URL:
https://doi.org/10.1007/978-3-031-52319-9
URL:
Volltext
(URL des Erstveröffentlichers)
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