2018年度数学与统计学院外请专家学术报告之七
时间：2018-03-28 22:43:56 来源： 作者： 阅读： 次
报告题目： Role of Mathematics for Biodiesel Production (Jatropha Oil) and Generating Awareness
报告人： Priti Kumar Roy 教授
报告时间：2018年4月2日（周一）16:00—17:00
报告地点：数学与统计学院学术报告厅
报告摘要： Jatropha curcas is a non-edible oilseed producing shrub. This plant serves as a potential resource for biodiesel production in Asian and some African regions. It produces the finest quality of biodiesel per se with the fuel grade mineral diesel oil. To ensure a safe and high yield of the biodiesel it is earnestly required to provide good agronomic environment to the plantation. However, Jatropha plants are seriously affected by the infection from natural pests and virus which is detrimental to the success of commercial oil production sector. Pest and virus inflicts damage to the Jatropha plant and fruits, significantly reducing the fruit production and its oil yield. Applying Control theoretic concepts, we also formulated ecological models of the agronomic system and studied the Jatropha disease dynamics and its possible control methods. We had identified sensitive key parameters that are most important for disease control as well as pest control of the plant through model analysis. Among them best strategy is to spraying of insecticide (chemical and biological origin). Our mathematical as well as numerical analysis shows to minimize the crop losses with optimization of the insecticide spraying for disease control. Further we investigate the role of a applying a biological agent (NPV Virus) as a candidate insecticide to be applied in disease control in an optimized way. Here, again use of optimal control theoretic approach leads to a better results and disease containment with combination of both biological as well as chemical agents sprayed impulsively. This ultimately leads to much beneficial cost effective solution to maximize crop yield. Agricultural systems are subjected to random oscillatory behavior and application of control measure has the ability to condense the oscillating nature of the population eventually providing a steady state. We also incorporated agronomic awareness and formulated a system of differential equation. Awareness programs have a positive influence on the system. The impact of awareness campaigns increases the aware population in farming society, while at the same time decreasing the infection prevalence through visual and interactive learning. Our study revealed if similar programs are administered at sufficiently short time intervals, they may lead to complete disease eradication and maximize yield of crop significantly. Industrial production of biodiesel from this plant is achieved through transesterification of Jatropha oil which depends on different reaction parameters viz., reaction time, temperature, oil to alcohol molar ratio and stirrer speed. Individual parameters were subjected to variation while we want to optimize the final yield of biodiesel from the raw material (Jatropha curcas oil (JCO). Applying control inputs on sensitive state variables leads to profitable results that improves the overall biodiesel yield under different physical properties like mixing intensity, temperature, molar ratio, mass transfer resistance etc. Control input on mixing intensity and optimizing the reaction temperature was found to be more sensitive to small changes. Maximized biodiesel production can be obtained by minimizing mass transfer resistance and it can be done by introducing control on temperature and stirring simultaneously. The transesterification process can be accelerated with use of chemical catalyst (alkaline catalyst) as well as biological catalysts (lipase enzyme). Here, also we have used control functions to minimize the overall cost of production and maximizing the yield with reduced time for reaction completion. However, use of chemical catalyst produces saponification reaction leading to higher cost of purified oil and irrecoverable loss of catalyst which is also minimized with input of control measures on temperature and mixing intensity. Similarly in enzymatic process the use of control functions on mixing intensity greatly accelerated the reaction process. Purification is cost effective and easy in this method and the catalyst can be reused several times although being costlier than chemical catalyst.
报告人简介: Priti Kumar Roy, 印度贾达普大学(Jadavpur University)数学系教授，博士生导师. 兼任印度生物数学学会(BMSI), 国际工程师协会(IAENG), 欧洲临床微生物学和传染病学会(ESCMID)和欧洲数学和理论生物学学会(ESMTB)等组织理事、会员，主要从非线性动力学和传染病动力学建模等交叉学科的研究，出版学术著作2部，在国际学术期刊公开发表论文100余篇，曾在欧洲、亚洲、美洲的40多所大学和研究机构开展学术交流和学术讲座. 2010年获得世界工程大会最佳论文奖.
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