Proceedings of ESCAPE 35ISSN: 2818-4734
Volume: 4 (2025)
Table of Contents
LAPSE:2025.0348
Published Article
LAPSE:2025.0348
NLP Deterministic Optimization of Shell and Tube Heat Exchangers with Twisted Tape Turbulence Promoters
Jamel Eduardo Rumbo-Arias, Fabián Pino, Martin Picón-Nuñez, Fernando Israel Gómez-Castro, Jorge Luis García-Castillo
June 27, 2025
Abstract
This study presents a deterministic optimization methodology for the design of shell-and-tube heat exchangers with twisted tape turbulence promoters, focusing on minimizing the total annualized cost (TAC) while balancing thermal performance and energy consumption. A sensitivity analysis was carried out as Case I (Methanol-Water), it reveals that increasing the twist ratio (TR) reduces flow turbulence, resulting in lower fluid velocity, pressure drop (?Pi), and overall heat transfer coefficient (U). Among the turbulence promoters evaluated, twisted tapes with V-cuts achieved a 21.1% increase in U with a 52.27% increase in pressure drop, demonstrating an optimal balance between thermal enhancement and energy cost. In contrast, promoters with circular rings and multiple perforations showed the highest U improvements (26.7% and 25.8%, respectively) but incurred significant pressure drops (93.5% and 97.9%). The optimization problem has been stated as a nonlinear programming (NLP) problem and solved with the CONOPT solver. Results from two case studies emphasize the importance of operating with similar mass flows, directing the smaller flow through the tubes to maximize promoter effectiveness and achieve balanced heat transfer and pressure drop. For Case II (Residue-Water), the TAC was estimated at 11,467 USD/year, with the equipment cost as the major contributor. Case III (Water-Water) demonstrated improved balance in convective coefficients due to lower thermal effectiveness and similar mass flow rates, highlighting the positive impact of turbulence promoters on performance. This work demonstrates the potential of turbulence promoters for enhancing heat exchangers while emphasizing the importance of careful design to optimize performance and cost.
Keywords
Deterministic optimization, NLP, retrofit, thermo-hydraulic design, turbulence promoter
Suggested Citation
Rumbo-Arias JE, Pino F, Picón-Nuñez M, Gómez-Castro FI, García-Castillo JL. NLP Deterministic Optimization of Shell and Tube Heat Exchangers with Twisted Tape Turbulence Promoters. Systems and Control Transactions 4:1221-1227 (2025) https://doi.org/10.69997/sct.139599
Author Affiliations
Rumbo-Arias JE: University of Guanajuato, Department of Chemical Engineering, Guanajuato, Guanajuato, Mexico
Pino F: Universitat Jaume I (UJI), Institute of Advanced Materials (INAM), Castelló de la Plana, Castellón, Spain
Picón-Nuñez M: University of Guanajuato, Department of Chemical Engineering, Guanajuato, Guanajuato, Mexico
Gómez-Castro FI: University of Guanajuato, Department of Chemical Engineering, Guanajuato, Guanajuato, Mexico
García-Castillo JL: University of Guanajuato, Department of Chemical Engineering, Guanajuato, Guanajuato, Mexico
Journal Name
Systems and Control Transactions
Volume
4
First Page
1221
Last Page
1227
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
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PII: 1221-1227-1692-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0348
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References Cited
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