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

9815619Tsoukalas该奖项支持PI， Lefteri Tsoukalas和来自普渡大学的两名研究生与德国柏林技术大学能源工程研究所的George Tsatsaronis合作。研究重点是通过结合最先进的热经济分析和基于知识的方法，寻求在新放松管制、高度竞争和环境受限的电力市场中最大限度地降低电力生产成本的合理方法。将热经济分析方法与基于知识的方法（包括专家系统、神经模糊系统和超媒体）相结合将产生显著的效益。德国集团在热经济学方面的专长与美国集团在基于知识的方法方面的专长相结合，将产生重要的研究、教育和技术效益。

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.