Scan of working fluids based on dynamic response characters for Organic Rankine Cycle using for engine waste heat recovery

Gequn Shu, Xuan Wang, Hua Tian, Peng Liu, Dongzhan Jing and Xiaoya Li

Energy, 2017, vol. 133, issue C, 609-620

Abstract: Organic Rankine Cycle (ORC) is regarded as a very suitable method to recover the waste heat of internal combustion engines. Engines often operate under variable working conditions, so ORC systems are also under unstable state which means it is important to research the dynamic response. There are many kinds of working fluids and various dynamic response characters are reflected owing to their different properties. The dynamic math models of ORC systems with 14 different working fluids (including water) as waste heat recovery system of a natural gas engine are established by Simulink in this paper. Based on these, their dynamic response characters mainly reflected by rise time, settling time and time constant are compared and analyzed. The results indicate that no matter under the disturbance of working fluid mass flow rate or exhaust temperature, the ORC systems with low temperature working fluids respond faster than those with high temperature working fluids generally. Therein, RC responds the most slowly. Furthermore, the critical temperature can be used to approximately estimate dynamic response speed of ORC with straight-chain alkanes. These provide useful guidance for the selection of working fluids based on the working condition characteristics of different engines and control system design.

Keywords: Organic Rankine Cycle; Internal combustion engines; Waste heat recovery; Working fluids; Dynamic response (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544217307429
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:133:y:2017:i:c:p:609-620

DOI: 10.1016/j.energy.2017.05.003

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 ().