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This paper presents the synthesis of heat integratedresource conservation networks (HIRCNs), covering both concentration-and property-based direct reuse/recycle systems. This newly proposedmethod adopts the targeting concept of the insight-based pinch approachwhere the minimum consumption of fresh resources and energy utilitiesis targeted prior to the detailed HIRCN design. Furthermore, thismethod is capable of handling HIRCN problems with varying operatingrange of process parameters (i.e., flow rates, temperatures, and properties).The proposed method is formulated as a mixed integer nonlinear program(MINLP). As the temperature of stream is uncertain, the floating pinchconcept is adopted to identify hot and cold utilities. Besides,a recently developed discretization approach is also used to solvethe MINLP problem. Three literature case studies are solved to illustratethe proposed method. [ABSTRACT FROM AUTHOR]