The development of inventory studies for Small Hydropower Plants is a costly and time consuming activity. The motivation of this dissertation is to, quickly and economically, verify the true viability of these projects. A computational model was created to automate inventory studies, identifying the hydroelectric generation potential and the projects’ installation sites. After the identification of the potential, the definition of project siting and project sizing is studied. In other words, the model determines the most adequate sites to build dams among several candidate locations and, for each selected case, the plant design (gross head, installed capacity, reservoir size and others). This potential is developed through the maximization of total net benefit, and includes environmental constraints that can be adapted to different regulations. Through this automation, the risks for entrepreneurs investing a significant amount of money in unpromising river basins are expected to reduce.