Title: Designing configuration of shell-and-tube heat exchangers using grey wolf optimisation technique
Authors: Uttam Roy; Mrinmoy Majumder; Rabindra Nath Barman
Addresses: National Institute of Technology Agartala, Barjala, PO – Jirania, Agartala, 799046 Tripura, India ' National Institute of Technology Agartala, Barjala, PO – Jirania, Agartala, 799046 Tripura, India ' National Institute of Technology Durgapur, Mahatma Gandhi Rd, A-Zone, Durgapur, 713209 West Bengal, India
Abstract: Organic Rankine cycles (ORC) is illustrated with various solutions for low rank waste heat revival. The process of ORC can be analysed by the property of the thermodynamic limits. The configuration of shell-and-tube heat transformer is used to obtain the ORC with cycle limits mutually. Depend on biogeography-based optimisation method is used to improve a new shell and tube heat transformer optimisation model method, in this review. The significant intention of the proposed technique is to frame a mathematical modelling with the optimisation techniques, from this modelling to find optimal tube configuration and optimal weight of shell-and-tube heat exchanger. Mathematical modelling is utilised to predict the exergetic plant efficiency, energetic cycle efficiency and electrical power. Different optimisation techniques are used to obtain the optimal weights α and β of the mathematical modelling. All optimum results demonstrate that the attained error values between the output of the experimental values and the predicted values are closely equal to zero in the designed model. From the results, the minimum error 96.066% is determined by mathematical modelling to attain in GWO algorithm.
Keywords: exergy efficiency; energy analysis; exergy analysis; shell-and-tube heat exchangers; heat exchanger design; grey wolf optimisation; GWO; mathematical modelling; metaheuristics; swarm intelligence; organic Rankine cycle; ORC; biogeography-based optimisation; BBO.
International Journal of Automation and Control, 2017 Vol.11 No.3, pp.274 - 289
Received: 16 Jun 2016
Accepted: 28 Aug 2016
Published online: 24 Mar 2017 *