U.S.-Germany Cooperative Research: Cost Minimization of Fossil-Fuel Electric Power Plants Using Combined Thermoeconomic, Neural and Fuzzy Approaches

美德合作研究：利用热经济、神经和模糊相结合的方法实现化石燃料发电厂的成本最小化

• 批准号: 9815619
• 负责人: Lefteri Tsoukalas
• 金额: $ 1.32万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-15 至 2001-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9815619&HistoricalAwards=false
• 关键词: U.S.; Germany; Cooperative; Research; Cost

9815619TsoukalasThis award supports the PI, Lefteri Tsoukalas and two graduate students from Purdue University in a collaboration with George Tsatsaronis of the Institute for Energy Engineering at the Technical University of Berlin, Germany. The research focus is to pursue sound methodologies for minimizing electricity production costs in the newly deregulated, highly competitive, and environmentally constrained electricity markets by combining state-of-the-art thermoeconomic analysis and knowledge-based approaches. Significant benefits will be derived from integrating thermoeconomic analysis methods with knowledge-based approaches, including expert systems, neurofuzzy systems and hypermedia. Important research, educational, and technological benefits will result from combining the German group's expertise in thermoeconomics with the U.S. group's expertise in knowledge-based approaches.

9815619TSoukalas该奖项支持PI、Lefteri TSoukalas和普渡大学的两名研究生，他们与德国柏林工业大学能源工程研究所的George Tsatsaronis合作。研究的重点是通过结合最新的热经济分析和基于知识的方法，在新放松管制、高度竞争和环境约束的电力市场中寻求合理的方法来最大限度地降低电力生产成本。将热经济分析方法与基于知识的方法相结合，包括专家系统、神经模糊系统和超媒体，将产生重大好处。将德国集团在热经济学方面的专业知识与美国集团在基于知识的方法方面的专业知识相结合，将带来重要的研究、教育和技术收益。