Novel Optimization Methods for Design, Synthesis, Supply Chain, and Uncertainty of Hybrid Biomass, Coal, and Natural Gas to Liquids, CBGTL, Processes

用于混合生物质、煤炭和天然气液化、CBGTL、工艺的设计、合成、供应链和不确定性的新颖优化方法

• 批准号: 1158849
• 负责人: Christodoulos Floudas
• 金额: $ 37.5万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1158849&HistoricalAwards=false
• 关键词: Novel; Optimization; Methods; Design; Synthesis

Intellectual Merit of Proposed Activity: A grand challenge in sustainable supply of energy is the introduction of hybrid energy processes with feedstocks that include renewable raw materials and improve the life cycle analysis. The primary objective of the research proposed here is to develop novel theoretical, algorithmic and computational techniques for the discovery and analysis of transformative hybrid energy processes based on biomass, coal, and natural gas that produce gasoline, diesel, and kerosene at levels that can address the United States transportation fuel demands. We propose to investigate: (i) an optimization-based process synthesis framework for novel hybridenergy CBGTL processes based on superstructure representation of the most promising alternatives that will address (a) thermochemical conversion, (b) biochemical conversion, (c) heat, power, and water integration, and (d) global optimization of the resulting nonconvex MINLP models; (ii) a systematic framework for the determination of the optimal energy supply chain network in the United States for the hybrid energy CBGTL plants that will address (a) the optimal geographic location and size of the CBGTL plants, (b) the optimal layout and connectivity of the different available feedstock resources (i.e., natural gas, different types of coal and biomass), and (c) the optimal transportation infrastructure to deliver feeds and products to and from the CBGTL plants; (iii) new approaches for quantifying the role of uncertainty in (a) feedstock availability and prices, (b) yields, (c) transportation topology andcost, (d) demand profiles, and (e) product prices, that will be based on (i) a robust optimization, (ii) a conditional value at risk,CVAR, framework, (iii) a two-stage stochastic programming, and (iv) a combination of CVAR and robust optimization; and (iv) novel approaches for the long range and strategic planning of CBGTL processes for both the deterministic and under uncertainty cases. We expect that new and transformative theoretical, algorithmic, and computational results, and novel methodologies will be developed and applied to the (i) design and synthesis of individual novel hybrid energy CBGTL processes; (ii) integration of heat, power, and water within the process synthesis of CBGTL processes; (iii) optimal determination of the energy supply chain network; and (iv) elucidation of the role and impact of uncertainty on feedstock levels and prices, yields, transportation costs and topology, and product prices for the CBGTL individual plants and their energy supply network.Broader Impacts Resulting from the Proposed Activity: The proposed approach has the potential to significantly advance and transform the traditional chemical processing and production so as to attain a sustainable future. The development of novel hybrid biomass, coal, and natural gas, CBGTL, energy processes, and their deployment in the energy supply network, has the potential to contribute significantly to the economic growth of the US.Integration of Research and Education: The proposed effort will integrate participation of undergraduate andgraduate students and will include underrepresented minorities and visiting students. At the undergraduate level, thePI has used and will use as a senior design project, hybrid energy processes, while at the graduate level, the PI intendsto incorporate the findings in a graduate course on Optimization in Process Systems Engineering. The students willreceive training in process design, simulation, synthesis, optimization, energy, power and water integration, life cycleanalysis, and scientific computation.Broaden Representation of Underrepresented Groups: The proposed research will broaden the participation of under-represented groups since it will aim at attracting female and minority students at the graduate level and the undergraduate junior independent and senior theses students level. The PI has a proven record of promoting diversity in chemical engineering. His trainees have had diverse socioeconomic, racial and ethnical backgrounds, and have included (18) female students and postdoctoral fellows many of whom are now distinguished researchers and Professors in the US or abroad. Currently, the PI supervises 3 female graduate students and 1 female high school student. The PI will continue recruiting efforts of under-represented groups for this project via meeting during his seminar visits and conferences, and attracting juniors and seniors for independent research work.Dissemination: The results of the proposed work will be broadly disseminated to researchers in academia and industry through presentations at domestic and international meetings, scholarly refereed journal publications and through an already available dedicated web site (http://helios.princeton.edu/hybrid-energy) which will describe the approaches, implementations and results. We will also make freely available all case studies and our implementations of the proposed work and create a web tool for easy access. We also intend to prepare a CACHE Design case study to be widely distributed worldwide. Undergraduate and graduate students will be involved in its preparation.Impact on Society: The proposed research has potential to accelerate the discovery of transformative hybridenergy processes that will lead into sustainable biofuels that meet the transportation targets of the United States.

拟议活动的智力优点：可持续能源供应的巨大挑战是引入混合能源过程，其中包括可再生原材料并改善生命周期分析。此处提出的研究的主要目的是开发新的理论，算法和计算技术，以基于生物量，煤炭和天然气的发现和分析，以生产汽油，柴油和煤油的水平来发现和分析转化性杂交能量过程。美国运输燃料的需求。我们建议研究：（i）基于优化的过程合成框架，用于基于最有希望的替代方案的上层建筑代表的新型杂交CBGTL过程，该过程将解决（a）热化学转换，（（b）生物化学转换，（c）热量，（c）热量，（c）热量，（c）热量，功率，功率，功率，功率，力量，水整合，以及（d）所得的非凸Minlp模型的全局优化； （ii）一个系统的系统框架，用于确定美国混合能源CBGTL植物的最佳能源供应链网络，该植物将解决（a）CBGTL工厂的最佳地理位置和大小，（b）最佳布局和最佳布局和不同可用的原料资源（即天然气，不同类型的煤炭和生物质）的连通性，以及（c）最佳运输基础设施，可向CBGTL植物提供饲料和产品； （iii）量化不确定性在（a）原料可用性和价格中的作用的新方法，（b）收益率，（c）运输拓扑和唯一，（d）需求配置文件以及（e）产品价格，这些价格将基于（i）强大的优化，（ii）有条件值，处于风险，CVAR，框架，（iii）两阶段随机编程，以及（iv）CVAR和强大优化的组合； （iv）确定性和不确定性案例的CBGTL过程的远距离和战略规划的新方法。我们预计，将开发新的和变革性的理论，算法和计算结果，并将新颖的方法用于（i）新型混合能量CBGTL过程的（i）设计和综合； （ii）在CBGTL过程的过程合成中加热，功率和水的整合； （iii）最佳确定能源供应链网络； （iv）阐明不确定性对CBGTL单个工厂及其能源供应网络的产品价格，收益​​率，运输成本和拓扑以及产品价格的作用和影响。有可能大大推进和改变传统的化学加工和生产，从而实现可持续的未来。新型混合生物量，煤炭和天然气，CBGTL，能源过程及其在能源供应网络中的部署有可能为美国的经济增长做出重大贡献。将整合本科生和大学生的参与，并包括代表性不足的少数民族和来访的学生。在本科级别，ThePI已使用并将用作高级设计项目，即混合能源过程，而在研究生级别，PI Intendsto将这些发现纳入了流程系统工程学优化的研究生课程中。学生将在过程设计，仿真，合成，优化，能量，能源和水整合，生命元分析和科学计算方面进行培训。Broaden代表不足的群体：拟议的研究将扩大代表性不足的群体的参与在研究生层面吸引女性和少数族裔学生以及本科生独立和高级论文学生级别。 PI具有促进化学工程多样性的可靠记录。他的学员拥有多样化的社会经济，种族和种族背景，包括（18）女学生和博士后研究员，其中许多人现在是美国或国外的杰出研究人员和教授。目前，PI监督了3名女研究生和1名女高中生。 PI将继续通过在研讨会的访问和会议期间开会为该项目招募代表性不足的团体的工作，并吸引大三学生和老年人进行独立研究工作。通过在国内和国际会议上的演讲，学术指导的期刊出版物以及已经提供的专用网站（http://helios.princeton.edu/hybrid-energy）的行业，该网站将描述方法，实现和结果。我们还将免费提供所有案例研究以及我们对拟议工作的实施，并创建一个易于访问的Web工具。我们还打算准备一个缓存设计案例研究，以在全球范围内广泛分布。本科生和研究生将参与其准备工作。对社会的影响：拟议的研究有可能加速发现变革性杂交过程的过程，这些过程将导致可持续生物燃料，以达到美国运输目标。