Cover Image

Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics

This paper presents the geometry optimization of a single stage radial turbine for an organic ranking cycle (ORC) system operating over a pressure ratio of 9. The specific fluid used in this investigation is R1233zd (E), but the methodology applies to other organic fluids as well. The ORC system is...

Full description

Saved in:
Bibliographic Details
Main Authors: Alvarez, Regueiro, Yang, Bijie, Barrera, Medrano Esperanza, Martinez-Botas, Ricardo, Rajoo, Srithar
Format: Article
Published: The American Society of Mechanical Engineers 2022
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/103127/
http://dx.doi.org/10.1115/1.4055359
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.103127
record_format eprints
spelling my.utm.1031272023-10-12T09:33:49Z http://eprints.utm.my/103127/ Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics Alvarez, Regueiro Yang, Bijie Barrera, Medrano Esperanza Martinez-Botas, Ricardo Rajoo, Srithar TJ Mechanical engineering and machinery This paper presents the geometry optimization of a single stage radial turbine for an organic ranking cycle (ORC) system operating over a pressure ratio of 9. The specific fluid used in this investigation is R1233zd (E), but the methodology applies to other organic fluids as well. The ORC system is used to recover excess waste heat from the operation of an offshore oil and gas platform in the gulf of Thailand and its conditions will be replicated at pilot plant level. The geometry is optimized for the highest total-tostatic efficiency using nongradient based algorithms to allow for wide design space. Firstly, a one-dimensional meanline geometry is optimized, which is followed by a computational fluid dynamics (CFD) optimization in three-dimensional using a parameterized model. CFD is used to validate and calibrate the meanline model as well as to understand the flow and the sensitivity of the design parameters not captured by the low-order model. Moreover, the flow field of the successful designs is analyzed by CFD to identify the main flow structures that explain the difference in performance among the designs. The nonideal gas thennophysical properties of R1233zd (E) are calculated using equations of state to account for the nonideal gas behavior. The American Society of Mechanical Engineers 2022 Article PeerReviewed Alvarez, Regueiro and Yang, Bijie and Barrera, Medrano Esperanza and Martinez-Botas, Ricardo and Rajoo, Srithar (2022) Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics. Journal of Engineering for Gas Turbines and Power Transactions of ASME, 144 (10). pp. 1-10. ISSN 0742-4795 http://dx.doi.org/10.1115/1.4055359 DOI: 10.1115/1.4055359
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Alvarez, Regueiro
Yang, Bijie
Barrera, Medrano Esperanza
Martinez-Botas, Ricardo
Rajoo, Srithar
Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
description This paper presents the geometry optimization of a single stage radial turbine for an organic ranking cycle (ORC) system operating over a pressure ratio of 9. The specific fluid used in this investigation is R1233zd (E), but the methodology applies to other organic fluids as well. The ORC system is used to recover excess waste heat from the operation of an offshore oil and gas platform in the gulf of Thailand and its conditions will be replicated at pilot plant level. The geometry is optimized for the highest total-tostatic efficiency using nongradient based algorithms to allow for wide design space. Firstly, a one-dimensional meanline geometry is optimized, which is followed by a computational fluid dynamics (CFD) optimization in three-dimensional using a parameterized model. CFD is used to validate and calibrate the meanline model as well as to understand the flow and the sensitivity of the design parameters not captured by the low-order model. Moreover, the flow field of the successful designs is analyzed by CFD to identify the main flow structures that explain the difference in performance among the designs. The nonideal gas thennophysical properties of R1233zd (E) are calculated using equations of state to account for the nonideal gas behavior.
format Article
author Alvarez, Regueiro
Yang, Bijie
Barrera, Medrano Esperanza
Martinez-Botas, Ricardo
Rajoo, Srithar
author_facet Alvarez, Regueiro
Yang, Bijie
Barrera, Medrano Esperanza
Martinez-Botas, Ricardo
Rajoo, Srithar
author_sort Alvarez, Regueiro
title Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
title_short Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
title_full Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
title_fullStr Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
title_full_unstemmed Optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
title_sort optimization of an organic ranking cycle radial turbine using a reduced-order mode coupled with computational fluid dynamics
publisher The American Society of Mechanical Engineers
publishDate 2022
url http://eprints.utm.my/103127/
http://dx.doi.org/10.1115/1.4055359
_version_ 1781777649724555264
score 13.211869

Similar Items