Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141356" target="_blank" >RIV/00216305:26210/21:PU141356 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323885065502874?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/B9780323885065502874?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/B978-0-323-88506-5.50287-4" target="_blank" >10.1016/B978-0-323-88506-5.50287-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry

Popis výsledku v původním jazyce

The decisions on synthesising a process network are often to optimise the payback periods based on investment cost. In addition to the core investment and the cost of used resources, the long-term reliable operation of the process is also crucial. Given available states and technologies of the assets, this study aims to identify the long-term optimal asset planning policy. Markov Decision Process (MDP) is a promising tool in identifying the optimal policy under different states of the assets or equipment. The failure probability of the unit is modelled with the ‘bathtub’ model and each of the condition states are incorporated in the MDP. The decisions to implement the redundant units in the process with variety of technologies are allowed. This paper applied the MDP into an equivalent Mixed Integer Non-linear Programming (MINLP) to solve for the optimal long-term assets decision and the maintenance policy. The applicability of the method is tested on a real case study from Sinopec Petrochemical Plant. The capital and expected operational cost that accounts for equipment maintenance for an infinite time horizon are determined.

Název v anglickém jazyce

Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry

Popis výsledku anglicky

The decisions on synthesising a process network are often to optimise the payback periods based on investment cost. In addition to the core investment and the cost of used resources, the long-term reliable operation of the process is also crucial. Given available states and technologies of the assets, this study aims to identify the long-term optimal asset planning policy. Markov Decision Process (MDP) is a promising tool in identifying the optimal policy under different states of the assets or equipment. The failure probability of the unit is modelled with the ‘bathtub’ model and each of the condition states are incorporated in the MDP. The decisions to implement the redundant units in the process with variety of technologies are allowed. This paper applied the MDP into an equivalent Mixed Integer Non-linear Programming (MINLP) to solve for the optimal long-term assets decision and the maintenance policy. The applicability of the method is tested on a real case study from Sinopec Petrochemical Plant. The capital and expected operational cost that accounts for equipment maintenance for an infinite time horizon are determined.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

20704 - Energy and fuels

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)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

31st European Symposium on Computer Aided Process Engineering

ISBN

9780323885065

Počet stran výsledku

6

Strana od-do

1853-1858

Počet stran knihy

2140

Název nakladatele

Elsevier Ltd.

Místo vydání

Neuveden

Kód UT WoS kapitoly

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