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In pinch analysis, the tools and methods specifically developed for the modeling, the debottlenecking and the rescheduling of batch processes have been rewieved (time slice model, cascade analysis, overal plant bottleneck, time event model, batch cascade curves, ...). The project has been focused on the targeting and on the optimization of indirect heat recovery through storage ; these domains are particularly relevant to food industry (e.g. breweries, dairies, etc.), as well as for buildings. The targeting of batch processes has to deal with the problem of heat exchangers utilised across time slices, reducing the investments costs. To minimize these costs, one has to maximise the common exchange area; this objective is reached extending the methodology developed by other authors for the multiple base cases (MBC) problem. Some limitations of this methodology have been identified and improvements proposed. Unlike rescheduling which is often not possible, heat storage is mainly limited by cost considerations; therefore, major steps of a methodology to quickly assess its profitability have been established in this project. The batch cascade curves are used in an extended form (including some particular pockets) to select the storage parameters (type, operating temperatures), while the new concept of incremental cost determines the contribution of each time slice to the heat tranfered by each storage. The latter variables are the optimized to minimize the total yearly cost. Batch processes can now be tackled using PinchLENI, the process integration software developed at our laboratory. However, several repetitive tasks are still to be done manually. Future work shall include the automation of these tasks to cut the optimisation time, as well as further proposed refinements. In addition to the simple example problems already analysed, several industrial case studies should be used to validate the procedure and formulate improved guidelines.