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Accounting for Stream Variability in Retrofit Problems using Monte Carlo Simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130607" target="_blank" >RIV/00216305:26210/18:PU130607 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3303/CET1870170" target="_blank" >http://dx.doi.org/10.3303/CET1870170</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3303/CET1870170" target="_blank" >10.3303/CET1870170</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Accounting for Stream Variability in Retrofit Problems using Monte Carlo Simulation

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20402 - Chemical process engineering

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Chemical Engineering Transactions

  • ISBN

    978-88-95608-67-9

  • ISSN

    2283-9216

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1015-1020

  • Publisher name

    Italian Association of Chemical Engineering - AIDIC

  • Place of publication

    Neuveden

  • Event location

    Prague

  • Event date

    Aug 25, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article