Automated retrofit targeting of heat exchanger networks

被引：0
作者：
Timothy G. Walmsley
Nathan S. Lal
Petar S. Varbanov
Jiří J. Klemeš
机构：
[1] Brno University of Technology,Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering
[2] University of Waikato,Energy Research Centre, School of Engineering
来源：
Frontiers of Chemical Science and Engineering | 2018年 / 12卷
关键词：
process retrofit; pinch analysis; heat exchanger network; heat recovery;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：630 / 642
页数：12
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