 Parametric optimization of regenerative organic Rankine cycle (ORC) for low grade waste heat recovery using genetic algorithmHuan Xi, Ming-Jia Li, Chao Xu and Ya-Ling He Energy, 2013, vol. 58, issue C, 473-482 Abstract: By using exergy efficiency as an objective function, the performances of three different organic Rankine cycles (ORCs) systems including the basic ORC (BORC) system, the single-stage regenerative ORC (SRORC) system and the double-stage regenerative ORC (DRORC) system using six different working fluids under the same waste heat condition are examined. The genetic algorithm (GA) is chosen as a novel way to determine the optimal fractions of the flow rates in regenerative ORC systems. The ORC systems using each working fluid are optimized to their optimal operating conditions and the corresponding thermodynamic parameters under every optimal operating condition are calculated. The results show that for each working fluid, the DRORC system always gives the best thermal efficiency and exergy efficiency under the optimal operating conditions, followed by the SRORC system, and the BORC system has the worst efficiencies. R11 and R141b are recommended as suitable working fluids for ORC systems for their superior thermodynamic performances. Keywords: Regenerative organic Rankine cycle; Genetic algorithm (GA); Exergy efficiency; Optimization (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:58:y:2013:i:c:p:473-482 DOI: 10.1016/j.energy.2013.06.039 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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