TY - JOUR
T1 - Application of entropy production theory for energy losses and other investigation in pumps and turbines
T2 - A review
AU - Zhou, Ling
AU - Hang, Jianwei
AU - Bai, Ling
AU - Krzemianowski, Zbigniew
AU - El-Emam, Mahmoud A.
AU - Yasser, Eman
AU - Agarwal, Ramesh
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/7/15
Y1 - 2022/7/15
N2 - As the demand for energy consumption saving and emission reduction become an urgent need in the contemporary world, the requirements for pumps and turbines need to pay more attention, by placing more emphasis on advanced technical methods and theoretical models to improve their energy efficiency. One of these methods is the entropy production theory, which may introduce the possibility of improving the performance of the rotating machine by appropriate modelling of flow phenomena occurring to reduce the entropy production and energy dissipation. Compared to the traditional methods of analysing the hydraulic losses, the entropy production process description accurately highlights and predicts the area distribution of the power loss, assessing the pressure drop and computing a detailed distribution of hydraulic losses in the pump components. It also provides accurate and intuitive reference information for researchers and subsequent improvement. Recently, the importance of this method is getting increased in the research area of investigating the internal flow mechanism and optimizing the pump's design. In this paper, the entropy production in pump flow have been reviewed, including energy loss analysis, design optimization, cavitation analysis, and fault diagnosis. Different perspectives were presented for future works and introduction to other methods such as kinetic energy dissipation theory to obtain procedures that reveal energy loss to improve the pump performance and try to understand the causes of pump failure. This review provides theoretical guidance for optimal design and assessment of the operational condition in terms of irreversible flow losses in the pumps.
AB - As the demand for energy consumption saving and emission reduction become an urgent need in the contemporary world, the requirements for pumps and turbines need to pay more attention, by placing more emphasis on advanced technical methods and theoretical models to improve their energy efficiency. One of these methods is the entropy production theory, which may introduce the possibility of improving the performance of the rotating machine by appropriate modelling of flow phenomena occurring to reduce the entropy production and energy dissipation. Compared to the traditional methods of analysing the hydraulic losses, the entropy production process description accurately highlights and predicts the area distribution of the power loss, assessing the pressure drop and computing a detailed distribution of hydraulic losses in the pump components. It also provides accurate and intuitive reference information for researchers and subsequent improvement. Recently, the importance of this method is getting increased in the research area of investigating the internal flow mechanism and optimizing the pump's design. In this paper, the entropy production in pump flow have been reviewed, including energy loss analysis, design optimization, cavitation analysis, and fault diagnosis. Different perspectives were presented for future works and introduction to other methods such as kinetic energy dissipation theory to obtain procedures that reveal energy loss to improve the pump performance and try to understand the causes of pump failure. This review provides theoretical guidance for optimal design and assessment of the operational condition in terms of irreversible flow losses in the pumps.
KW - Energy
KW - Entropy production
KW - Hydraulic losses
KW - Pumps
KW - Turbines
UR - http://www.scopus.com/inward/record.url?scp=85129742677&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2022.119211
DO - 10.1016/j.apenergy.2022.119211
M3 - Review article
AN - SCOPUS:85129742677
SN - 0306-2619
VL - 318
JO - Applied Energy
JF - Applied Energy
M1 - 119211
ER -