scholarly journals Characterisation of Congolese Aquatic Biomass and Their Potential as a Source of Bioenergy

Biomass ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Tania S. Mayala ◽  
Maryse D. Nkoua Ngavouka ◽  
Dick H. Douma ◽  
James M. Hammerton ◽  
Andrew B. Ross ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Biochemical Analysis ◽  
Lipid Extraction ◽  
Thermal Conversion ◽  
Biodiesel Production ◽  
Bomb Calorimetry ◽  
Green Macroalgae ◽  
Average Value ◽  
Aquatic Biomass ◽  
The Republic

This study assesses the bioenergy potential of two types of aquatic biomass found in the Republic of Congo: the green macroalgae Ulva lactuca (UL) and Ledermanniella schlechteri (LS). Their combustion behaviour was assessed using elemental and biochemical analysis, TGA, bomb calorimetry and metal analysis. Their anaerobic digestion behaviour was determined using biochemical methane potential (BMP) tests. The average HHV for LS is 14.1 MJ kg−1, whereas UL is lower (10.5 MJ kg−1). Both biomasses have high ash contents and would be problematic during thermal conversion due to unfavourable ash behaviour. Biochemical analysis indicated high levels of carbohydrate and protein and low levels of lipids and lignin. Although the lipid profile is desirable for biodiesel production, the levels are too low for feasible extraction. High levels of carbohydrates and protein make both biomasses suitable for anaerobic digestion. BMP tests showed that LS and UL have an average of 262 and 161 mL CH4 gVS−1, respectively. The biodegradability (BI) of LS and UL had an average value of 76.5% and 43.5%, respectively. The analysis indicated that these aquatic biomasses are unsuitable for thermal conversion and lipid extraction; however, conversion through anaerobic digestion is promising.

scholarly journals Exergy analysis of conventional and hydrothermal liquefaction–esterification processes of microalgae for biodiesel production

2020 ◽  
Vol 18 (1) ◽  
pp. 874-881
Author(s):  
Laras Prasakti ◽  
Sangga Hadi Pratama ◽  
Ardian Fauzi ◽  
Yano Surya Pradana ◽  
Arief Budiman ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Exergy Analysis ◽  
Lipid Extraction ◽  
Hydrothermal Liquefaction ◽  
Raw Material ◽  
Biodiesel Production ◽  
Exergy Loss ◽  
Thermochemical Conversion ◽  
Third Generation ◽  
Land Utilization

AbstractAs fossil fuels were depleting at an alarming rate, the development of renewable energy has become necessary. One of the promising renewable energy to be used is biodiesel. The interest in using third-generation feedstock, which is microalgae, is rapidly growing. The use of third-generation biodiesel feedstock will be more beneficial as it does not compete with food crop use and land utilization. The advantageous characteristic which sets microalgae apart from other biomass sources is that microalgae have high biomass yield. Conventionally, microalgae biodiesel is produced by lipid extraction followed by transesterification. In this study, combination process between hydrothermal liquefaction (HTL) and esterification is explored. The HTL process is one of the biomass thermochemical conversion methods to produce liquid fuel. In this study, the HTL process will be coupled with esterification, which takes fatty acid from HTL as raw material for producing biodiesel. Both the processes will be studied by simulating with Aspen Plus and thermodynamic analysis in terms of energy and exergy. Based on the simulation process, it was reported that both processes demand similar energy consumption. However, exergy analysis shows that total exergy loss of conventional exergy loss is greater than the HTL-esterification process.

Enhanced productivity of lipid extraction by urea stress conditions on marine microalgae Coelastrum sp. for improved biodiesel production

2021 ◽  
pp. 100696
Author(s):  
Prakash Bhuyar ◽  
Sathyavathi Sundararaju ◽  
Mohd Hasbi Ab. Rahim ◽  
Gaanty Pragas Maniam ◽  
Natanamurugaraj Govindan
Keyword(s):  
Lipid Extraction ◽  
Marine Microalgae ◽  
Stress Conditions ◽  
Biodiesel Production

Effect of Silicon Carbide Susceptor and Nickel Catalyst Content on Microwave Enhanced Thermal Conversion of Glycerol Waste

2010 ◽  
Vol 658 ◽  
pp. 73-76
Author(s):  
Yotwadee Hawangchu ◽  
Duangduen Atong ◽  
Viboon Sricharoenchaikul
Keyword(s):  
Silicon Carbide ◽  
Nickel Catalyst ◽  
Fixed Bed ◽  
Value Added ◽  
Thermal Conversion ◽  
Gas Production ◽  
Biodiesel Production ◽  
Spent Catalyst ◽  
Catalyst Content ◽  
Transesterification Method

Glycerol waste is by-product from the manufacturing of biodiesel by transesterification method containing impurities such as fatty acid, alcohol, spent catalyst, soap and water. Conversion of this waste to value added fuel products would not only improve economic of biodiesel production but also reduce environmental impact from this process. In this work, thermal conversion of glycerol waste by microwave that induced the heat required for initiating the reaction was carried out in a fixed bed quartz reactor using silicon carbide as the bed medium for microwave receptor as well as supporter for nickel catalyst. For non-catalytic reaction at 220W (700°C), carbon and hydrogen conversions were 22.89% and 19.59%, respectively. Gas production was 0.12 L/min syngas, 0.07 L/min H2, 0.82 MJ/m3 of LHV, and 1.27 H2/CO. In catalytic test, the highest syngas, H2, and LHV of 0.41 L/min, 0.23 L/min, and 9.18 MJ/m3, respectively, were obtained from 1%Ni/SiC while the highest H2/CO of 2.72 was obtained from 0.5%Ni/SiC. The 1%Ni/SiC test also resulted in the highest conversion of carbon and hydrogen as much as 79.50% and 83.26%, respectively. For comparison between fresh and regenerated catalysts, it was found that fresh catalyst performed significantly better that regenerated one in term of higher total conversion which may due to sodium deposition on spent catalyst surface.

scholarly journals Physical Methods of Microalgal Biomass Pretreatment

2014 ◽  
Vol 28 (3) ◽  
pp. 341-348 ◽  
Author(s):  
Agata Piasecka ◽  
Izabela Krzemińska ◽  
Jerzy Tys
Keyword(s):  
Alternative Energy ◽  
Lipid Extraction ◽  
Physical Method ◽  
Extraction Methods ◽  
Biodiesel Production ◽  
Biomass Pretreatment ◽  
Microalgal Biomass ◽  
Alternative Energy Sources ◽  
Wet Biomass ◽  
Microwave Techniques

Abstract The prospect of depletion of natural energy resources on the Earth forces researchers to seek and explore new and alternative energy sources. Biomass is a composite resource that can be used in many ways leading to diversity of products. Therefore, microalgal biomass offers great potential. The main aim of this study is to find the best physical method of microalgal biomass pretreatment that guarantees efficient lipid extraction. These studies identifies biochemical composition of microalgal biomass as source for biodisel production. The influence of drying at different temperatures and lyophilization was investigated. In addition, wet and untreated biomass was examined. Cell disruption (sonication and microwave) techniques were used to improve lipid extraction from wet biomass. Additionally, two different extraction methods were carried out to select the best method of crude oil extraction. The results of this study show that wet biomass after sonication is the most suitable for extraction. The fatty acid composition of microalgal biomass includes linoleic acid (C18:2), palmitic acid (C16:0), oleic acid (C18:1), linolenic acid (C18:3), and stearic acid (C18:0), which play a key role in biodiesel production.

scholarly journals Trends of the energy and protein value of hylage from legumes in the Republic of Tatarstan

2021 ◽  
pp. 45-48
Author(s):  
Evgeny Olegovich Krupin ◽  
Marsel Sharipzyanovich Tagirov ◽  
Adelya Ayratovna Askarova
Keyword(s):  
Energy Level ◽  
Nutritional Value ◽  
Raw Materials ◽  
Net Energy ◽  
Average Value ◽  
Plant Raw Materials ◽  
Digestible Protein ◽  
The Republic ◽  
Perennial Legumes

The results of the analysis of the dynamics of energy and protein nutritional value of haylage from perennial legumes harvested from plant raw materials in the territory of the Republic of Tatarstan in the period from 1993 to 2018 are described. The long-term average value of the studied indicator was 9.52 MJ / kg, which is 5.54% higher than the norm. The highest content of exchangeable energy was noted in 1996 - 9.67 MJ / kg, which is 1.58% higher than the long-term average. The lowest content of exchangeable energy was established in 2009 (9.36 MJ / kg). The long-term average value of the net energy level of lactation was 1.96 MJ / kg, which is 9.68% higher than the norm. The maximum was observed in 2017 and amounted to 2.17 MJ / kg, and the minimum - in 2001 (1.65 MJ / kg), when it was 23.97% below the norm. It was found that the average long-term value of the level of digestible protein in haylage was 111.31 g / kg, which is 1.78% higher than the norm. The highest content of digestible protein was found in 2010 (17.21%). The smallest value was recorded a year earlier, in 2009 and amounted to 95.64 g / kg, which, respectively, is lower than the average long-term value and the value of the norm by 14.08 and 12.56%, respectively.

scholarly journals Trends Of Change Regarding Poverty In The Republic Of Serbia In The Period 2006-2010

2014 ◽  
Vol 52 (2) ◽  
pp. 154-165
Author(s):  
Biljana Grujić ◽  
Svetlana Roljević ◽  
Nataša Kljajić
Keyword(s):  
Economic Status ◽  
Regional Distribution ◽  
Rate Of Change ◽  
Descriptive Statistics ◽  
Household Type ◽  
Average Value ◽  
The Poor ◽  
The Republic ◽  
Deviation Coefficient ◽  
Poor Population

Abstract The purpose of the study was to assess poverty in Serbia in the period 2006-2010. This paper analyzes the percentage of the poor by: type of neighborhood, regional distribution, household type, age, involvement of children and adults, level of education and socio - economic status of the household. The following methods of descriptive statistics were applied: the average value of the appearance, the interval of variation, standard deviation, coefficient of variation and the rate of change. It points to the differences in the values of consumer units denominated in RSD, which is used as a threshold for determining the percentage of the poor population. The research results indicate that the poorest are multi-member households and adults at the age of 19-24.

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