Automated retrofit targeting of heat exchanger networks

doi:10.1007/s11705-018-1747-2

Frontiers of Chemical Science and Engineering

2018, Vol. 12

Issue (4): 630-642 https://doi.org/10.1007/s11705-018-1747-2

本期目录

Automated retrofit targeting of heat exchanger networks

Timothy G. Walmsley¹(

), Nathan S. Lal², Petar S. Varbanov¹, Jiří J. Klemeš¹

¹. Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, Brno 60190, Czech Republic
². Energy Research Centre, School of Engineering, University of Waikato, Hamilton 3240, New Zealand

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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 Excel^TM 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.

Key words： process retrofit pinch analysis heat exchanger network heat recovery

收稿日期: 2018-03-01 出版日期: 2019-01-03

Corresponding Author(s): Timothy G. Walmsley

引用本文:

. [J]. Frontiers of Chemical Science and Engineering, 2018, 12(4): 630-642.
Timothy G. Walmsley, Nathan S. Lal, Petar S. Varbanov, Jiří J. Klemeš. Automated retrofit targeting of heat exchanger networks. Front. Chem. Sci. Eng., 2018, 12(4): 630-642.

链接本文:

https://academic.hep.com.cn/fcse/CN/10.1007/s11705-018-1747-2
https://academic.hep.com.cn/fcse/CN/Y2018/V12/I4/630

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