Detail publikace

Automated Retrofit Targeting of Heat Exchanger Networks

Walmsley, T.G. Lal, N. Varbanov, P.S. Klemeš, J.J.

Anglický název

Automated Retrofit Targeting of Heat Exchanger Networks

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

en

Originální abstrakt

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.].

Anglický abstrakt

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.].

Klíčová slova anglicky

Heat exchanger network; Heat recovery; Pinch analysis; Process retrofit; Arts computing; Computer system recovery; Heat exchangers; Investments; Waste heat; Waste heat utilization; Heat sources; Payback periods; Re-integration; Retrofit design; Retrofit project; Save energy; Retrofitting

Vydáno

01.12.2018

Nakladatel

Higher Education Press

ISSN

2095-0179

Ročník

12

Číslo

4

Strany od–do

630–642

Počet stran

13

BIBTEX


@article{BUT153388,
  author="Timothy Gordon {Walmsley} and Petar Sabev {Varbanov} and Jiří {Klemeš},
  title="Automated Retrofit Targeting of Heat Exchanger Networks",
  year="2018",
  volume="12",
  number="4",
  month="December",
  pages="630--642",
  publisher="Higher Education Press",
  issn="2095-0179"
}