TY - GEN
T1 - CFD BASED DESIGN OPTIMIZATION OF MULTIPLE HELICAL SWIRL-INDUCING FINS FOR CONCENTRATED SOLAR RECEIVERS
AU - Pidaparthi, Bharath
AU - Missoum, Samy
AU - Xu, Ben
N1 - Publisher Copyright: Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - Concentrated Solar Power (CSP) with Thermal Energy Storage (TES) has the potential to realize grid parity. This can be achieved by operating CSP systems at temperatures above 700 °C to reach high thermal efficiencies (>50%). However, operating CSP systems at elevated temperatures poses several problems, among which the design of solar receivers to handle increased thermal loads is critical. To this end, this work explores and optimizes various swirl-inducing internal fin designs for improving heat transfer in solar receiver tubes. These fin designs, in addition to enhancing the thermal performance of receiver tubes, are also capable of reducing temperature unevenness caused by nonuniform solar loads. This work optimizes the geometric parameters such as height and helical pitch of these fin designs by maximizing the Nusselt number with a constraint on the friction factor. The fin design optimization, however, is computationally intensive, often requiring hundreds of simulation call to the Computational Fluid Dynamics (CFD) model. To circumvent this problem, this work employs surrogate models to approximate the simulation outputs needed during the optimization.
AB - Concentrated Solar Power (CSP) with Thermal Energy Storage (TES) has the potential to realize grid parity. This can be achieved by operating CSP systems at temperatures above 700 °C to reach high thermal efficiencies (>50%). However, operating CSP systems at elevated temperatures poses several problems, among which the design of solar receivers to handle increased thermal loads is critical. To this end, this work explores and optimizes various swirl-inducing internal fin designs for improving heat transfer in solar receiver tubes. These fin designs, in addition to enhancing the thermal performance of receiver tubes, are also capable of reducing temperature unevenness caused by nonuniform solar loads. This work optimizes the geometric parameters such as height and helical pitch of these fin designs by maximizing the Nusselt number with a constraint on the friction factor. The fin design optimization, however, is computationally intensive, often requiring hundreds of simulation call to the Computational Fluid Dynamics (CFD) model. To circumvent this problem, this work employs surrogate models to approximate the simulation outputs needed during the optimization.
KW - Concentrated solar power
KW - Heat transfer enhancement
KW - Receiver tubes
KW - Solar power tower
KW - Surrogate assisted optimization
KW - Swirl-inducing fins
UR - http://www.scopus.com/inward/record.url?scp=85140781371&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140781371&partnerID=8YFLogxK
U2 - 10.1115/ES2022-80317
DO - 10.1115/ES2022-80317
M3 - Conference contribution
T3 - Proceedings of ASME 2022 16th International Conference on Energy Sustainability, ES 2022
BT - Proceedings of ASME 2022 16th International Conference on Energy Sustainability, ES 2022
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 16th International Conference on Energy Sustainability, ES 2022
Y2 - 11 July 2022 through 13 July 2022
ER -