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In this paper, we describe Simbatch, an API which offers core functionalities to realistically simulate parallel resources and batch reservation systems. The objective is twofold: proposing at the same time a tool to efficiently predict parallel resources usage based on their simulations, and to realistically study Grid scheduling heuristics that may be embedded in a Grid middleware or in a tool that deploys it. Indeed, such predictions can be used in a Grid middleware both for scheduling purposes, and to dynamically tune moldable applications in function of the load of the chosen parallel resource in place of the Grid user. Simbatch simulation experiments show an average error rate under 2% compared to real life experiments conducted with the OAR batch manager.