Automated Retrofit Targeting of Heat Exchanger Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130630" target="_blank" >RIV/00216305:26210/18:PU130630 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s11705-018-1747-2" target="_blank" >http://dx.doi.org/10.1007/s11705-018-1747-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11705-018-1747-2" target="_blank" >10.1007/s11705-018-1747-2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Retrofit Targeting of Heat Exchanger Networks

Popis výsledku v původním jazyce

The aim of this paper is to develop a novel heat exchanger network (HEN) retrofit method based on a new automated retrofit targeting (ART) algorithm. ART uses the heat surplus-deficit table (HSDT) in combination with the Bridge Retrofit concepts to generate retrofit bridges option, from which a retrofit design may be formulated. The HSDT is a tabular tool that shows potential for improved re-integration of heat source and sink streams within a HEN. Using the HSDT, retrofit bridges—a set of modifications that links a cooler to a heater to save energy—may be identified, quantified, and compared. The novel retrofit method including the ART algorithm has been successfully implemented in Microsoft ExcelTM to enable analysis of large-scale HENs. A refinery case study with 27 streams and 46 existing heat exchangers demonstrated the retrofit method’s potential. For the case study, the ART algorithm found 68903 feasible unique retrofit opportunities with a minimum 400 kW unit–1 threshold for heat recovery divided by the number of new units. The most promising retrofit project required 3 new heat exchanger units to achieve a heat savings of 4.24 MW with a favorable annualised profit and a reasonable payback period. [Figure not available: see fulltext.].

Název v anglickém jazyce

Automated Retrofit Targeting of Heat Exchanger Networks

Popis výsledku anglicky

The aim of this paper is to develop a novel heat exchanger network (HEN) retrofit method based on a new automated retrofit targeting (ART) algorithm. ART uses the heat surplus-deficit table (HSDT) in combination with the Bridge Retrofit concepts to generate retrofit bridges option, from which a retrofit design may be formulated. The HSDT is a tabular tool that shows potential for improved re-integration of heat source and sink streams within a HEN. Using the HSDT, retrofit bridges—a set of modifications that links a cooler to a heater to save energy—may be identified, quantified, and compared. The novel retrofit method including the ART algorithm has been successfully implemented in Microsoft ExcelTM to enable analysis of large-scale HENs. A refinery case study with 27 streams and 46 existing heat exchangers demonstrated the retrofit method’s potential. For the case study, the ART algorithm found 68903 feasible unique retrofit opportunities with a minimum 400 kW unit–1 threshold for heat recovery divided by the number of new units. The most promising retrofit project required 3 new heat exchanger units to achieve a heat savings of 4.24 MW with a favorable annualised profit and a reasonable payback period. [Figure not available: see fulltext.].

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/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

2018

Kód důvěrnosti údajů

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

Název periodika

Frontiers of Chemical Science and Engineering

ISSN

2095-0179

e-ISSN

2095-0187

Svazek periodika

12

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

13

Strana od-do

630-642

Kód UT WoS článku

000454888500004

EID výsledku v databázi Scopus

2-s2.0-85051321682