Computational working fluid design under property uncertainties: Application to organic rankine cycle

Jérôme Frutiger, Stefano Cignitti, Jens Abildskov, John Woodley, Gürkan Sin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We present a methodology to integrate fluid property uncertainty (e.g. uncertainty in GC property prediction models) into a computer-aided molecular design (CAMD) framework to identify novel working fluids for thermodynamic cycles. The study is highlight through an organic Rankine cycle (ORC) system for heat recovery from marine diesel engine. The CAMD problem is formulated as an optimization problem that identifies the best chemical structure giving the highest power output of the ORC. The uncertainties of the GC factors are obtained using covariance-based uncertainty analysis. Monte Carlo sampling within the respective uncertainties of the GC factors provides different sets of GC factors. These sets of GC factors are used separately as constraints to the optimization problem, which is solved as a scenario-based optimization. The best performing fluids are further evaluated in the cycle model and their respective property uncertainty values are propagated through the ORC using Monte Carlo based error propagation. In this way a list of working fluid candidates is provided including the new power output and its corresponding uncertainty with 95% confidence. The working fluid candidates can be assessed and selected including their respective property uncertainty.

Original languageEnglish
Title of host publicationProceedings of the 30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2017
Publication date2017
Publication statusPublished - 2017
Event30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems - The Conrad Prebys Aztec Student Union, San Diego State University 6075 Aztec Cir Dr, San Diego, United States
Duration: 2 Jul 20176 Jul 2017
Conference number: 30
http://www.ecosconference.org/

Conference

Conference30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
Number30
LocationThe Conrad Prebys Aztec Student Union, San Diego State University 6075 Aztec Cir Dr
CountryUnited States
CitySan Diego
Period02/07/201706/07/2017
Internet address

Fingerprint Dive into the research topics of 'Computational working fluid design under property uncertainties: Application to organic rankine cycle'. Together they form a unique fingerprint.

Cite this