A comprehensive design and optimization of an offset strip-fin compact heat exchanger for energy recovery systems. (May 2022)

• Record Type: Journal Article
• Authors: Ahmad Jamil, Muhammad; Goraya, Talha S.; Ur Rehman, Asad; Yaqoob, Haseeb; Ikhlaq, Muhammad; Wakil Shahzad, Muhammad; Zubair, Syed M.
• Is Part Of: Energy conversion and management. X. Volume 14(2022)
• Publication Date: 2022-05
• Subjects: Plate fin heat exchanger -- Economic optimization -- Exergoeconomic -- Offset strip fins -- Genetic algorithm; BAHPSO bees algorithm hybrid with particle swarm optimization -- CAPC capital cost -- CHEs compact Heat Exchangers -- CPF corrugated plate-fin -- CRF capital recovery factor -- CVGPF corrugated/vortex generator plate-fin -- EES engineering equation solver -- GA genetic Algorithm -- HE/HX heat exchanger -- LNG liquefied natural gas -- MDE multiple dynamic equilibriums -- MOHTS multi-objective heat transfer search -- NTU number of transfer units -- OFAT one-factor-at-a-time -- OPC operational cost -- OSFs offset strip fins -- PFHE/PFHX plate-fin heat exchanger -- RMS root mean square -- VGPF vortex generator plate-fin -- WPF wavy plate-fin
• DOI: 10.1016/j.ecmx.2022.100191
• Languages: English
• ISSNs: 2590-1745

Abstract

Highlights: Parametric, sensitivity, and optimization of compact heat exchanger is presented. A normalized sensitivity analysis is used to identify the critical parameters. Geometric parameters and fluid velocity appeared as the most influential parameters. The optimization reduced the operational cost by 78%, and the total cost by 77%. Abstract: Energy recovery in conventional thermal systems like power plants, refrigeration systems, and air conditioning systems has enhanced their thermodynamic and economic performance. In this regard, compact heat exchangers are the most employed for gas to gas energy recovery because of their better thermal performance. This paper presents an economic optimization of a crossflow plate-fin heat exchanger with offset strip fins. A detailed software-based numerical code for thermal, hydraulic, economic, and exergy analysis is developed for three fin geometries. Genetic Algorithm, parametric, and normalized sensitivity analyses are used to discover the most influential parameters to optimize the total cost. The parametric study showed that with the increase of mass flow rates and plate spacing, outlet stream cost and operating cost increased due to the rise in pressure drops. Finally, the optimization reduced the operational cost by ∼78.5%, stream cost by ∼64.5%, and total cost by ∼76.8%.