Designing configuration of shell-and-tube heat exchangers using grey wolf optimisation technique
by Uttam Roy; Mrinmoy Majumder; Rabindra Nath Barman
International Journal of Automation and Control (IJAAC), Vol. 11, No. 3, 2017

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.

Online publication date: Sat, 01-Jul-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com