Bottleneck Tree Analysis (BOTA) with green and lean index for process capacity debottlenecking in industrial refineries

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU134701" target="_blank" >RIV/00216305:26210/20:PU134701 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0009250919309194" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0009250919309194</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ces.2019.115429" target="_blank" >10.1016/j.ces.2019.115429</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bottleneck Tree Analysis (BOTA) with green and lean index for process capacity debottlenecking in industrial refineries

Popis výsledku v původním jazyce

This paper presents a novel Bottleneck Tree Analysis (BOTA) to cope with the increasing capacities within industrial refineries. BOTA is a clear and concise heuristic graphical debottlenecking method that can accurately pinpoint the process capacity bottlenecks. Coupled with BOTA, four multiple criteria decision-making methods are used for an ensemble with Spearman’s correlation to assess the Green and Lean Index (GLI) of industrial processes. The decision-making tool is formulated to improve operational performance with the consideration for environmental conditions. Empirically, BOTA demonstrated a debottleneck stopping mechanism which can be theoretically explained with the reversed onion model. An additional advantage is that retrofit projects can be guided by BOTA with effective scheduling. From an industrial case study, BOTA improved normalized Global Warming Potential by 94.43 %, normalized energy consumption by 93.09 % and return on investment by 58.36 %. Project implementation by scheduling also reduced payback period from 85 to 66 months. (C) 2019 Published by Elsevier Ltd.

Název v anglickém jazyce

Bottleneck Tree Analysis (BOTA) with green and lean index for process capacity debottlenecking in industrial refineries

Popis výsledku anglicky

This paper presents a novel Bottleneck Tree Analysis (BOTA) to cope with the increasing capacities within industrial refineries. BOTA is a clear and concise heuristic graphical debottlenecking method that can accurately pinpoint the process capacity bottlenecks. Coupled with BOTA, four multiple criteria decision-making methods are used for an ensemble with Spearman’s correlation to assess the Green and Lean Index (GLI) of industrial processes. The decision-making tool is formulated to improve operational performance with the consideration for environmental conditions. Empirically, BOTA demonstrated a debottleneck stopping mechanism which can be theoretically explained with the reversed onion model. An additional advantage is that retrofit projects can be guided by BOTA with effective scheduling. From an industrial case study, BOTA improved normalized Global Warming Potential by 94.43 %, normalized energy consumption by 93.09 % and return on investment by 58.36 %. Project implementation by scheduling also reduced payback period from 85 to 66 months. (C) 2019 Published by Elsevier Ltd.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20402 - Chemical process engineering

Projekt

<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Chemical Engineering Science

ISSN

0009-2509

e-ISSN

1873-4405

Svazek periodika

214

Číslo periodika v rámci svazku

v

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

115429-115449

Kód UT WoS článku

000514583100008

EID výsledku v databázi Scopus

2-s2.0-85076680533