Working Fluid Design for Organic Rankine Cycle

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Working Fluid Design for Organic Rankine Cycle ( working-fluid-design-organic-rankine-cycle )

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Chapter 5 Conclusion 5-1 Conclusion In this work, a tool which simultaneously optimizes the working fluid and the process param- eters has been developed. The tool is based on the CoMT-CAMD method as an integrated design of processes and fluids is highly desirable due to their strong interdependence. It presents a sound integration of molecular design into process optimization using the evolu- tionary genetic algorithm which circumvents the prohibitive complexity of the discrete choice between individual molecules. The result of the first phase of this method is an optimal pro- cess and a hypothetical working fluid. The parameters of the optimal hypothetical working fluid are mapped onto an existing fluid and the process is optimized again. The optimization problem has been solved by using a single objective genetic algorithm with the output power as the objective function. The use of such an evolutionary algorithm leads to an a posteriori solution wherein the set of efficient candidate solutions are outlined by the algorithm from which the decision-maker chooses the solution to be used. The use of the PCP-SAFT model provides a good description to the fluids and makes the tool versatile as it can be easily extended to mixtures and polar fluids. The segment number has been used as the fluid optimization variable and the other pure component parameters such as segment diameter and segment energy parameter have been represented in terms of the segment number. The values obtained from these expressions have been validated against the data from FluidProp. The segment energy parameter and the segment diameter derived from the polynomial fit has a certain degree of uncertainty. This can be addressed by including the segment energy and segment diameter as optimization variables for the fluid along with the segment number. A representative polynomial has been derived to predict the ideal gas heat capacity of the fluid from PCP-SAFT parameters. The polynomial predicts the ideal gas heat capacity within the uncertainty limits (5%) of the values obtained from the PCP-SAFT model. The process has been modeled in Cycle Tempo. The tool has been tested for an ORC turbogenerator for waste heat recovery systems in heavy duty truck engines wherein the mid- grade heat available in the exhaust and the EGR system has been considered. The other Master of Science Thesis Akshay Hattiangadi

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