Publication detail

Automated Retrofit Targeting of Heat Exchanger Networks

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

English title

Automated Retrofit Targeting of Heat Exchanger Networks

Type

journal article in Web of Science

Language

en

Original abstract

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.].

English abstract

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.].

Keywords in English

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

Released

01.12.2018

Publisher

Higher Education Press

ISSN

2095-0179

Volume

12

Number

4

Pages from–to

630–642

Pages count

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"
}