Design and experimental study of a small-sized organic Rankine cycle system under various cooling conditions
Long Shao,
Xinling Ma,
Xinli Wei,
Zhonglan Hou and
Xiangrui Meng
Energy, 2017, vol. 130, issue C, 236-245
Abstract:
This paper experimentally studies the performance and feature of a kW-scale organic Rankine cycle system which was operated under various cooling conditions using R123 as working fluid. A self-designed radial inflow turbine was applied to this system in order to testing its performance. A test of the power generation system under various cooling conditions was conducted. The system performance and turbine operational state are distinctly influenced by the cooling water mass flow rate. The experiment results show the turbine performances for various rotational speeds, isentropic efficiencies, and thermal efficiencies. The maximum thermal efficiency 5.30% and a turbine isentropic efficiency 75.2% can be obtained with a water flow rate of 0.591 kg/s. The system net power increased from 889.47 W to 1242.67, with the flow rate of water increasing. With the increase of water flow rate, the exergy loss of evaporator increased, and those of condenser and turbine decreased.
Keywords: Radial inflow turbine; Organic Rankine cycle; Cooling condition; Thermal efficiency; Exergy (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544217306588
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:130:y:2017:i:c:p:236-245
DOI: 10.1016/j.energy.2017.04.092
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 ().