Published April 15, 2017 | Version v1
Journal article

Thermo-ecological performance analysis of a Joule-Brayton cycle (JBC) turbine with considerations of heat transfer losses and temperature-dependent specific heats

Description

Highlights: • A new thermo-ecological performance optimization criterion is developed. • The developed model is applied to a gas turbine. • Parametrical studies are performed to optimize turbine performance. - Abstract: This study presents a new performance analysis criterion called Effective Ecological Power Density (EFECPOD) and its application to a Joule-Brayton cycle (JBC) turbine. Effective efficiency (EE), effective power (EP), cycle temperature ratio and turbine volume are considered together and the performance is stated a unique value by the developed criterion. emissions formation and turbine dimensions are considered by the cycle temperature ratio and turbine volume, respectively. The turbine volume is also related to production cost of the heat engine. Therefore, the proposed criterion is essential for multipurpose optimization. Furthermore, this criterion can be developed and applied to the other gas cycles and heat engines. Also, a performance investigation for the JBC gas turbine in terms of EE, EP and effective power density (EPD) has been carried out using a new finite-time thermodynamics modeling (FTTM). The influences of engine design parameters such as cycle temperature ratio, cycle pressure ratio, turbine speed, intake temperature, intake pressure and equivalence ratio on the EE, EP, EPD and EFECPOD have been examined. The results presented can be an essential tool for JBC turbine designers.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2017.01.054

Additional details

Identifiers

DOI
10.1016/j.enconman.2017.01.054;
PII
S0196-8904(17)30068-7;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
138
Journal Page Range
p. 97-105
ISSN
0196-8904
CODEN
ECMADL

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.