This paper presented a new technique for targeting minimum total annual cost of property-based heat integrated resource conservation networks (HIRCNs) for batch processes. This new technique takes in consideration of simultaneously heat and property integration with an objective to minimize the usage of fresh resources and energy utilities prior to the detailed network design. It is formulated as a mixed integer nonlinear programming (MINLP) mathematical model for HIRCNs which consists of property-based resource conservation network (RCN) and heat exchanger network (HEN) models. The property-based RCN model is formulated based on a supertargeting approach while the HEN model is developed via automated targeting approach. Two case studies were used to demonstrate the proposed model's applicability and advantages. Moreover, comparisons of the results for the proposed model for HIRCN with storage system and without storage system as well as sequential targeting approach are also addressed.