Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Accounting for stream variability in retrofit problems using Monte Carlo simulation

      Lal, Nathan S.; Atkins, Martin John; Walmsley, Michael R.W.; Neale, James R.; Walmsley, Timothy Gordon
      Thumbnail
      Files
      Accounting for stream variability.pdf
      Published version, 1.610Mb
      DOI
       10.3303/CET1870170
      Find in your library  
      Citation
      Export citation
      Lal, N. S., Atkins, M. J., Walmsley, M. R. W., Neale, J. R., & Walmsley, T. G. (2018). Accounting for stream variability in retrofit problems using Monte Carlo simulation. Chemical Engineering Transactions, 70, 1015–1020. https://doi.org/10.3303/CET1870170
      Permanent Research Commons link: https://hdl.handle.net/10289/13305
      Abstract
      The aim of this paper is to use Monte Carlo simulation to analyse the effect of stream data variation on the economic performance of retrofit designs. The input stream data is fitted to a distribution which can be sampled from to calculate the outputs of the Heat Exchanger Network model, stochastically. A simple four-stream problem is used to demonstrate the method, comparing two retrofit designs that each reduce the hot utility by 700 kW. Monte Carlo simulation analyses how the similar designs behave differently under the variable conditions and the results show that time-average analysis can not only overestimate the Total Retrofit Profit but can also favour a different design to that favoured by the Monte Carlo results. Of the two compared designs, the Design 2 was selected with an annual Total Retrofit Profit of NZD 215,553, requiring one new exchanger and additional area on an existing one. The Monte Carlo analysis also shed light on controllability and feasibility issues in the Heat Exchanger Network.
      Date
      2018
      Type
      Journal Article
      Rights
      Copyright © 2018, AIDIC Servizi S.r.l. Used with permission.
      Collections
      • Science and Engineering Papers [3124]
      Show full item record  

      Usage

      Downloads, last 12 months
      18
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement