Sensitivity analysis of operation parameters on the system performance of organic rankine cycle system using orthogonal experiment

Huan Xi, Honghu Zhang, Ya-Ling He and Zuohua Huang

Energy, 2019, vol. 172, issue C, 435-442

Abstract: In the present study, a 1 kW-scale experimental system which can be switched between BORC (basic organic Rankine cycle) and RORC (organic Rankine cycle with a regenerator) is employed. In order to analyze the influence of working parameters on the system performance quantitatively, the range analysis based on orthogonal design is adopted. The selected three system parameters are: the temperature at the inlet of the expander, temperature at the outlet of the condenser and the plunger travel of working fluid pump. For the system performance, six indices are selected, including the thermal efficiency, the back-work ratio, output power of the expander, pump work consumption, network and the mass flow of the working fluid. The optimal and worst level constitutions of factors for the six indices are concluded, the orders of the three factors' sensitivity to the six indices are also obtained. The results show that the temperature at the inlet of the expander is the dominant factor of the thermal efficiency, the back-work ratio, output power of the expander, and network. While the plunger travel of the working fluid pump is the dominant factor of pump work consumption and the mass flow of the working fluid.

Keywords: Waste heat recovery(WHR); Organic rankine cycle(ORC); Sensitivity analysis; Orthogonal experiment (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421930074X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:172:y:2019:i:c:p:435-442

DOI: 10.1016/j.energy.2019.01.072

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().