Engineering Research Equipment Grant: Batch Reactor Faciltiy

工程研究设备补助金：间歇式反应器设施

• 批准号: 8705270
• 负责人: Christos Georgakis
• 金额: $ 4.59万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-05-15 至 1988-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8705270&HistoricalAwards=false
• 关键词: Engineering; Research; Equipment; Grant; Batch

Economic pressures are forcing the chemical industry to decrease production of large amounts of commodity chemicals and to move to the production of smaller amounts of fine or specialty chemicals. These require different modes of operation, an important one being batch processing. Processes related to the production of specialty chemicals are characterized by significant price differences between the reactants and the products. Often a batch does not result in making a product of the desired quality and has to be discarded. Because the added value of the product in relationship to the reactants is so high, significant economic benefits can result from a general purpose modeling and optimization strategy for batch processes that decreases the number of batches that do not meet the product quality constraints. In contrast to continuous processes, batch processes are characterized by transient and nonlinear behavior. The linear approximate models, useful for continuous processes, can not be applied simply because there does not exist a steady state about which the process can be linearized. The use of batch reactor models that predict the time evolution of the concentration changes of the most important reactants and products offers the possibility for a much better understanding and a significant increase in the optimization of the process. The PI's plan to use "Tendency" or "Gray" models, because they do not depend upon the availability of a detailed and predictive model of the process ("White" model) as such models are very rarely available. In this technique an initial model is postulated (often a very crude one) and is successively updated and improved using experimental results. The equipment requested, a batch reactor, a gas chromotograph (to measure concentrations) and computer equipment for on line calculations and control of the process, are appropriate for the project. The PIs are respected researchers. Digital Equipment Corporation offers a 30% discount on equipment awarded under NSF grants. The PI has obtained an estimate of $40,330 for the computer equipment, therefore using the 30% discount and 1/3 cost share by Lehigh University an award of $45,941 out of FY87 funds is recommended.

经济压力迫使化学工业减少大量商品化学物质的产量，并转移到较少量的细或特色化学品的生产中。 这些需要不同的操作模式，这是批处理处理的重要一种。 与特种化学品的生产相关的过程的特征是反应物与产品之间的价格差异很大。 通常，一批不会导致制造所需质量的产物，必须丢弃。 由于产品与反应物的关系的附加价值是如此之高，因此，批量工艺的通用建模和优化策略可能会造成巨大的经济利益，从而减少不符合产品质量限制的批次数量。 与连续过程相反，批处理过程以瞬态和非线性行为为特征。 线性近似模型，用于连续过程，仅仅是因为不存在可以线性性化过程的稳态状态。 最重要的反应物和产品浓度变化的时间演变的批处理反应堆模型为更好的理解和显着的优化增长提供了可能性。 PI使用“趋势”或“灰色”模型的计划，因为它们不取决于该过程的详细和预测模型的可用性（“白色”模型），因为这种模型很少可用。 在此技术中，假定了初始模型（通常是非常粗糙的模型），并通过实验结果依次更新和改进。 所请求的设备，批处理反应堆，气体彩色仪（用于测量浓度）和计算机设备以进行线路计算和控制过程。 PI是受人尊敬的研究人员。 Digital Equipment Corporation可为NSF赠款授予的设备提供30％的折扣。 PI已获得计算机设备的40,330美元的估计，因此，Lehigh University使用30％的折扣和1/3的成本份额奖励，建议在87财年的资金中授予45,941美元。