Accounting for Stream Variability in Retrofit Problems using Monte Carlo Simulation
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Accounting for Stream Variability in Retrofit Problems using Monte Carlo Simulation
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Accounting for Stream Variability in Retrofit Problems using Monte Carlo Simulation
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20402 - Chemical process engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Chemical Engineering Transactions
ISBN
978-88-95608-67-9
ISSN
2283-9216
e-ISSN
—
Počet stran výsledku
6
Strana od-do
1015-1020
Název nakladatele
Italian Association of Chemical Engineering - AIDIC
Místo vydání
Neuveden
Místo konání akce
Prague
Datum konání akce
25. 8. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—