Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 14th International Conference on Biofuels and Bioenergy | Paris, France.

Day 1 :

Keynote Forum

Monika Prakash Rai

Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India.

Keynote: Sugar distillery waste as a source of nutrients for microalgae biomass and lipid production in biodiesel application

Time : 9am to 9:30am

Biography:

Dr. Monika Prakash Rai has completed her Ph.D. from IIT- BHU Varanasi, India jointly with Johannes Gutenberg University, Mainz, Germany in the year 2005. She is Associate Professor at Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India. She has expertise in microbial culture systems and synthesis of value added products. Her major focus area is algal biodiesel, bioremediation, waste utilization, enzymes production, and synthesis of other industrially important products. Her work also emphasizes on the production of green materials from microbial origin and application in the area of nano-biotechnology, corrosion inhibition and antimicrobial activity. She has published more than 25 papers in reputed journals and published many book chapters.

 

Abstract:

Microalgae have potential to convert CO2 into carbon skeleton biomass that stores mainly starch and lipid rich compounds, which can be processed for sustainable biofuel production. Although, the high culture cost and low lipid productivity are foremost hurdles for its commercial feasibility in biodiesel application. Hence, these challenges are trying to overcome by establishing mixotrophic mode of cultivation using waste organic carbon sources as low cost substrates. In the present work, the molasses was collected from a sugar refinery and microalgae were isolated from sugar molasses by successive plating on BG-11 supplemented with 1% agar. The microalga isolated was identified as Chlorella sorokiniana (MS) by using 18 S rDNA marker.

Spent wash, a waste effluent of sugar distillery was collected from the same site and characterized for physico-chemical properties including chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP) and total carbon (TC). Cultivation of microalgae was optimized in spent wash media by varying carbon concentration, nitrogen, pH, light intensity and photoperiod using response surface method (RSM). Maximum microalgae biomass of 3g/L was obtained by using 289.6 ml/L of spent wash maintaining at pH 6.5. Fluorescence microscopy confirms the increase in neutral lipids in the cell. Lipid was extracted by solvent extraction method and transesterified to obtain Fatty acid methyl esters (FAME) that was analysed by GC-MS. The FAME profile obtained includes the compounds like palmitic acid, oleic acid, linoleic acid, linolenic acid in a requisite ratio, those are essential for biodiesel synthesis. This study highlights the recycle of sugar distillery waste material spent wash as a nutrient source for microalgae biomass and lipid production for its potential application in biodiesel.

 

Keynote Forum

Monika Prakash Rai

Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India.

Keynote: Sugar distillery waste as a source of nutrients for microalgae biomass and lipid production in biodiesel application

Time : 9am to 9:30am

Biography:

Dr. Monika Prakash Rai has completed her Ph.D. from IIT- BHU Varanasi, India jointly with Johannes Gutenberg University, Mainz, Germany in the year 2005. She is Associate Professor at Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India. She has expertise in microbial culture systems and synthesis of value added products. Her major focus area is algal biodiesel, bioremediation, waste utilization, enzymes production, and synthesis of other industrially important products. Her work also emphasizes on the production of green materials from microbial origin and application in the area of nano-biotechnology, corrosion inhibition and antimicrobial activity. She has published more than 25 papers in reputed journals and published many book chapters.

 

Abstract:

Microalgae have potential to convert CO2 into carbon skeleton biomass that stores mainly starch and lipid rich compounds, which can be processed for sustainable biofuel production. Although, the high culture cost and low lipid productivity are foremost hurdles for its commercial feasibility in biodiesel application. Hence, these challenges are trying to overcome by establishing mixotrophic mode of cultivation using waste organic carbon sources as low cost substrates. In the present work, the molasses was collected from a sugar refinery and microalgae were isolated from sugar molasses by successive plating on BG-11 supplemented with 1% agar. The microalga isolated was identified as Chlorella sorokiniana (MS) by using 18 S rDNA marker.

Spent wash, a waste effluent of sugar distillery was collected from the same site and characterized for physico-chemical properties including chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP) and total carbon (TC). Cultivation of microalgae was optimized in spent wash media by varying carbon concentration, nitrogen, pH, light intensity and photoperiod using response surface method (RSM). Maximum microalgae biomass of 3g/L was obtained by using 289.6 ml/L of spent wash maintaining at pH 6.5. Fluorescence microscopy confirms the increase in neutral lipids in the cell. Lipid was extracted by solvent extraction method and transesterified to obtain Fatty acid methyl esters (FAME) that was analysed by GC-MS. The FAME profile obtained includes the compounds like palmitic acid, oleic acid, linoleic acid, linolenic acid in a requisite ratio, those are essential for biodiesel synthesis. This study highlights the recycle of sugar distillery waste material spent wash as a nutrient source for microalgae biomass and lipid production for its potential application in biodiesel.

 

Keynote Forum

Monika Prakash Rai

Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India.

Keynote: Sugar distillery waste as a source of nutrients for microalgae biomass and lipid production in biodiesel application

Time : 9am to 9:30am

Biography:

Dr. Monika Prakash Rai has completed her Ph.D. from IIT- BHU Varanasi, India jointly with Johannes Gutenberg University, Mainz, Germany in the year 2005. She is Associate Professor at Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India. She has expertise in microbial culture systems and synthesis of value added products. Her major focus area is algal biodiesel, bioremediation, waste utilization, enzymes production, and synthesis of other industrially important products. Her work also emphasizes on the production of green materials from microbial origin and application in the area of nano-biotechnology, corrosion inhibition and antimicrobial activity. She has published more than 25 papers in reputed journals and published many book chapters.

 

Abstract:

Microalgae have potential to convert CO2 into carbon skeleton biomass that stores mainly starch and lipid rich compounds, which can be processed for sustainable biofuel production. Although, the high culture cost and low lipid productivity are foremost hurdles for its commercial feasibility in biodiesel application. Hence, these challenges are trying to overcome by establishing mixotrophic mode of cultivation using waste organic carbon sources as low cost substrates. In the present work, the molasses was collected from a sugar refinery and microalgae were isolated from sugar molasses by successive plating on BG-11 supplemented with 1% agar. The microalga isolated was identified as Chlorella sorokiniana (MS) by using 18 S rDNA marker.

Spent wash, a waste effluent of sugar distillery was collected from the same site and characterized for physico-chemical properties including chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP) and total carbon (TC). Cultivation of microalgae was optimized in spent wash media by varying carbon concentration, nitrogen, pH, light intensity and photoperiod using response surface method (RSM). Maximum microalgae biomass of 3g/L was obtained by using 289.6 ml/L of spent wash maintaining at pH 6.5. Fluorescence microscopy confirms the increase in neutral lipids in the cell. Lipid was extracted by solvent extraction method and transesterified to obtain Fatty acid methyl esters (FAME) that was analysed by GC-MS. The FAME profile obtained includes the compounds like palmitic acid, oleic acid, linoleic acid, linolenic acid in a requisite ratio, those are essential for biodiesel synthesis. This study highlights the recycle of sugar distillery waste material spent wash as a nutrient source for microalgae biomass and lipid production for its potential application in biodiesel.

 

Keynote Forum

Isham Alzoub

Department of Surveying and Geometric Engineering, Engineering Faculty, University of Tehran, Tehran, Iran

Keynote: Prediction of environmental indicators in land leveling using artificial intelligence techniques

Time : 9:30am to 10:00am

Biography:

Iesham alzoubi has completed his PhD at the age of 27 years fromDoctor of Philosophy Degree in Agricultural Mechanization Engineering (University of Tehran – Iran) University and Postdoctoral Studies from School of Surveying Geospatial Engineering-Department of Surveying and Geomatics Engineering, University of Tehran .  Current Job: General commission for scientific Agricultural Research – Damascus – Syria (Mechanical Engineer)  He has published more than 16 papers in reputed journals and has been serving as an editorial board member of repute.

 

Abstract:

Land leveling is one of the most important steps in soil preparation for agricultural and other purposes. . New techniques based on artificial intelligence, such as Artificial Neural Network, integrating Artificial Neural Network and Imperialist Competitive Algorithm (ICA-ANN), or Genetic Algorithms (GA-ANN), or Particle Swarm Optimization (PSO-ANN) have been employed for developing predictive models to estimate the energy related parameters and the results were compared to SPSS and Sensitivity Analysis  results. In this study, several soil properties such as cut/fill volume, compressibility factor, specific gravity, moisture content, slope of the area, sand percent, and swelling index were measured and their effects on energy consumption were investigated. Totally 90 samples were collected from 3 land areas by grid size of 20m×20m. The aim of this work was to develop predictive models based on artificial intelligence techniques to predict the environmental indicators of land leveling . Results of sensitivity analysis illustrated that only three parameters consist of soil density, soil compressibility, and soil cut/fill volume had meaningful effects on energy consumption.  Among the proposed methods, the GA-ANN had the most capability in prediction of the environmental energy parameters. However, for prediction of LE and FE the ANN and ICA-ANN algorithms had better performance

 .  On the other hand, SPSS software had higher R 2 value than Minitab software and sensitivity analysis and in fact close to the ANN values. Keywords: Energy; Imperialist competitive algorithm; Sensitivity analysis; ANN; Land levelling; Environmental indicators.

Keywords:Artificial Neural Network; energy; environmental research; Imperialist Competitive Algorithm; Sensitivity Analysis

 

.Originality/value – A limited number of research studies related to energy consumption in land leveling have been done on energy as a function of volume of excavation and embankment. However, in this research, energy and cost of land leveling are shown to be functions of all the properties of the land, including the slope, coefficient of swelling, density of the soil, soil moisture and special weight dirt.

 

Keynote Forum

Mr. Cornelius Claeys

Analyst, Biofuels Europe, Stratas Advisor Brussels, Belgium.

Keynote: European Green Deal’s impact on EU Biofuel Outlook

Time : 10:00am to 10:30am

Biography:

Cornelius Claeys is a Brussels-based analyst responsible for European biofuel policies and market developments. He has regularly spoken at biofuels conferences in Europe (overview

available upon demand). Before joining Stratas Advisors, Cornelius worked in Saudi Arabia, where he conducted research on the economic effects of legislative reforms in the energy sector. He also has experience in the European Commission’s DG Trade, Brussels-based think tanks and international business media. Cornelius has a Degree in Applied Economics: Business Engineering and a Master in European Studies from the University of Leuven. He is fluent in Dutch, English, French and Spanish.

 

Abstract:

This presentation will leverage Stratas Advisors modelling capabilities and experience in regulatory market analysis to provide an outlook of biofuel supply/demand in Europe. Country and fuel specific breakdowns are included, with special focus on volumetric FAME, HVO, ethanol, biomethane and biojet demand forecasts, as well as the implications for regional production capacity. First, an overview of regulatory biofuel demand drivers is provided, including the European Green Deal and its implications for RED II, the Fuel Quality Directive, national blending mandates and global initiatives like CORSIA. The second part zooms in on some of the underlying implications for base-pool demand, cost dimensions and feedstock supply. A third part discusses how road, marine and aviation biofuel markets interrelate to each other. Finally, a detailed quantitative outlook per biofuel is discussed, zooming in on some of the larger European countries before coming to the aggregated EU picture. Stratas Advisors is a global energy research company with offices in Houston, Brussels, Singapore and New Delhi. Our biofuels team is composed of economists, engineers and political scientists, who work together to provide a quarterly biofuels outlook for more than 100 countries worldwide.

 

Keynote Forum

Mohamed BENADDOU

Moulay Ismail université, Faculty of sciences, Meknes Morocco

Keynote: Fungal Pretreatment of lignocellulosic biomass for the production of ethanol.

Time : 10:30am to 11:00am

Biography:

Mohamed benaddou  is a third year doctoral student. He is working on fungal and enzymatic pretreatment of lignocellulosic biomass as a doctoral project. besides research, he is a qualifying high school teacher since 2009. He obtained his mater in 2012 under the title "mastere of environmental sciences". He participates in several congresses and scientific conferences in Morocco.

 

Abstract:

In the region of Meknes, Morocco, there is a large amount of lignocellulosic mass rich in cellulose and hemicelluloses but released in the trash. The direct use of this mass to produce bioethanol has a low yield because the cellulose and hemicellulose are protected by lignin hence the need for pretreatment to degrade or modify the lignin to release cellulose and hemicellulose. Biological treatment, especially with fungi, is a very simple method, respects the environment and specifically degrades lignin. The main objective of this project is the evaluation of the impact of the treatment with fungi on the digestibility, lignin content and cellulose crystallinity index of wheat straw, reddish wood sawdust and olive pomace. 
In this study, three fungi, Fusarium oxysporum , Fusarium solani and Fusarium sp were used to treat the lignocellulosic biomass. Samples obtained after 8 weeks of incubation were assayed for digestibility, lignin, and cellulose contents according to the Van Soest method and cellulose cristallinity cellulose. The digestibility, lignin content and cellulose crystallinity index were significantly affected by substrate and treatment. But cellulose did not change among substrates and treatments. The digestibility was higher (p<0.05) in the control than in the three fungi types, and higher (p<0.01) in wheat straw than in the two other substrates.  

 

Keynote Forum

Dr. V. Himabindu

Jawaharlal Nehru Technological University Hyderabad, Institute of Science and Technology, India.

Keynote: E-BABE-Mixotrophic Cultivation of Scenedesmus quadricauda for recovery of nutrients and bio-oil

Time : 12:00pm to 12:30pm

Biography:

Dr. V. Himabindu has completed her PhD in 1998 from JNTUH University Hyderabad, Telangana India. She is currently Head and Professor at Centre of Environment, JNTUH. She has published more than 80 papers in reputed International journals and has been serving as an editorial board member of several reputed journals. Till now she has supervised more than 18 PhD students. She has received research grants for more than 20 research proposals from different funding agencies like DBT, DST, MNRE, BARC, MHRD etc. Area of research are Environment and Energy, Waste recovery and reuse, Bioremediation , Biofuels, Carbon nano materials, etc.

 

Abstract:

Concern about global warming and energy security has led to increased biomass utilization as an alternative feedstock to fossil fuels. Microalgae biofuels are likely to have a much lower impact on the environment. Microalgae cultivation using sewage with industrial flue gases is a promising concept for integrated bio-oil production, CO2 sequestration and nutrient recovery. Mixotrophic cultivation has given best results for microalgae biomass. Several mechanical and chemical processes are available for extraction of lipids components from microalgae biomass. In organic solvent extraction methods, a prior drying of biomass and recovery of the solvent is required which are energy-intensive. Thus, hydrothermal process overcomes the drawbacks of conventional methods where the biomass is converted into oily components by processing in a hot, pressurized water environment. In this process, in addition to the lipid fraction of microalgae, other value added products such as proteins, carbohydrates and nutrients can also be recovered. In the present study (Scenedesmus quadricauda) was cultivated mixotrophically using sewage wastewater and industrial flue gas in batch and continuous mode. The harvested algae biomass from S. quadricauda was used for the recovery of lipids and bio-oil. The lipids were extracted from the algal biomass using sonication as a cell disruption method followed by solvent (Hexane) extraction and the lipid yield obtained was 8.3 wt%. Hydrothermal process was also carried out for extraction of bio oil and the yield obtained was 18wt%. Nutrients such as NO3¯ (68%) and PO4¯ (15%) were also recovered along with bio-oil in hydrothermal process.

 

  • Biofuels
Biography:

Abstract:

In the next few decades energy crisis will be faced by the world at a great extent due to diversified use of non-renewable energy (fossil fuel). Resulting, it is high time to think about alternative source of fossil fuel. In this regard, biogas a renewable and effective energy source which can be a great replacement of fossil fuel can be produced through anaerobic digestion is one of the best options for rumen digesta management which will lead to production of energy-rich biogas, reduction in GHGs emissions and effective pollution control in butchery. The study was investigated to enhance biogas production from rumen digesta by anaerobic co-digestion process at mesophilic condition. The experiment was carried out in 3000 ml batch type digester. The mixing ratio used was 1:1 for 40 days hydraulic retention time. Produced gas was measured by water replacement method. The result showed that co-digestion of rumen digesta with vegetables increased the biogas production. The maximum biogas generation from rumen digesta of chicken and goat, cow and chicken, cow and goat and co-digestion of four substrates were 93.5,1311, 36.1, and 1072 ml/day at the 14th, 13th, 24th, and 7th day respectively. The average biogas generation was found for the above samples were 3.35, 96.80, 11.09, and 137.12 ml/day respectively. The higher cumulative production of biogas was found from co-digestion of rumen digesta with vegetables. Therefore, the study is suggested that optimum co-digestion mixing ratio which produced biogas might be holds promise for the future energy crisis recovery.

Biography:

Abstract:

In this work, a hybrid method based on neural network and particle swarm optimization is applied to literature data to develop and validate a model that can predict with precision vapor-liquid equilibrium data for the binary systems (hexafluoroethane (R116(1)), 1,1,1,2-tetrafluoroethane (R134a) and R1234ze) used for solar-photovoltaic refrigeration system. ANN was used for modelling the non-linear process. The PSO was used for two purposes: replacing the standard backpropagation in training the ANN and optimizing the process. Statistical analysis of the predictability of theptimizedeural network model shows excellent  agreement  with  experimental  data (coefficient of correlation equal to 0.998). Furthermore, the comparison in terms of average relative deviation (AARD%) between, the predicted results shows that the ANN-PSO model can predict far better the refrigerant mixture properties than classical models. This new approach has allowed the development of computer program in (MATLAB 2017) for the execution of optimized model which can provide a useful tool for design study (changing the solar system parameters-inputs of graphical user interface- and the evaluation of the efficiency of solar system (given as output parameter).

Hana Shamata

Tatweer for Engineering and Technology Research, Libya

Title: The Application of PV systems in Libyan Schools
Biography:

 

 

Abstract:

Libya is one of the largest oil producers in North Africa. Most of the country relies on the oil-based energy economy, furthermore, it is one of the countries that recently struggles to satisfy the increasing energy demand. With the growth of demand for oil and gas in addition to the negative environmental impacts associated with global warming, it is a must to look for more reliable and sustainable alternative energy sources. Fortunately, Libya has a high potential for renewable energy, solar energy in particular. In this paper, we study the implementation of PV systems on Libyan schools' rooftops either to sustain itself or inject the energy generated to the grid. The idea behind the schools came from the fact that most of the public schools have almost the same rooftop area and distributed all over the country, along with embedding the renewable energy in the curriculum to encourage the consumption of electricity for students who are the most effective generation socially, applying that will increase the job opportunities in PV field and education is an ultimate start. This study focuses on public schools and takes the El-Aaid El-fathi school in Benghazi as a case study. After that, the total energy that can be generated has been determined for this case study by about 168MWh per year and then the result generalized on the public schools in Libya that reaches to about 504GWh yearly that will save 309 k number of oil barrels.

 

Biography:

Aaron Yair is an emeritus professor in department of geography at Hebrew University of Jerusalem, Israel. He completed his studies from Université de Paris1 Panthéon-Sorbonne and Hebrew University of Jerusalem. He is mainly interested in the study of geomorphic processes in arid and semiarid environments. In 1972 he established, in the Negev Highlands, the long-term Sede Boqer Research Station, characteristic of an arid rocky area. Research in the station is highly interdisciplinary and covers the main following aspects: Rainfall-runoff relationships; soil moisture; effect of runoff water redistribution on vegetation and soil development; effect of bioturbation on erosion rates and soil development; chemical composition of rainwater and runoff water; isotopic composition of rainfall and runoff and processes of groundwater recharge. Extrapolation of data obtained into larger spatial and temporal scales under changing climatic conditions. Effects of loess and sand accumulation on hydrological processes. In 1988 he established (in the frame of the Minerva Arid Ecosystems Research Centre) the Nizzana Research Site. The site represents a sandy ecosystem. Topics under study cover the following aspects: Monitoring the effect of a biological topsoil crust on infiltration, runoff frequency and rates. Recovery rates of the biological topsoil crust following disturbance. Use of remote sensing techniques for the monitoring of biological crust recovery. Monitoring of water percolation and movement in a longitudinal dune. Eolian and fluvial interactions in the evolution of the Nizzana sand field. Dating of eolian and fluvial stages.

 

Abstract:

Dryland areas are usually regarded as highly sensitive to climatic changes. A positive relationship between average annual rainfall and environmental variables is often assumed for such areas. However, the global climatological models fail to address an important issue. With decreasing annual rainfall water resources may be highly dependent on surface properties and rainfall characteristics at a rainstorm level, which greatly influence the degree to which rainwater will percolate, or will be transformed into runoff, thereby significantly affecting the spatial redistribution of water resources. In other words, a climate change in dryland areas would be expected to have differential hydrological effects in a sandy area, a rocky area or in loess covered area. Differential hydrological effects would also be expected within each of the areas listed above. The Northern Negev desert offers unique conditions for the study of the possible effects, along a rainfall gradient, under changing surface conditions. Two case studies are considered. The first deals with the environmental effects of loess penetration into the area during a wet climatic phase. The second considers the differential effects of biological. Topsoil crusts on the water regime in a dry sandy area. Data obtained draw attention to the complex relationships between average annual rainfall, surface properties, water resources and ecosystem structure. In both areas considered the increase in the average annual rainfall had negative effects on the water resources and related ecological properties.