## 3 Results and Discussion
Collectively, the responses point towards an integrated strategy that values the canal's historical engineering, promotes environmental and cultural sustainability, and seeks to revitalize the local economy through conscious and enriching tourism. Based on the survey results, the inclusion of axial turbines alongside the locks in the Canal de Castilla is both justified and encouraged. The topology of these turbines is particularly fitting as they do not require alterations to the existing structures, thereby preserving the integrity of the protected heritage site. This integration of modern technology with historic preservation serves a dual purpose: it honors the past while embracing sustainable innovation, providing a green energy source that is in line with the community's vision for environmentally responsible development. An extensive review of the scientific and technical literature, along with an analysis of the canal's typical water conditions, was conducted to determine the operational parameters of the turbines, focusing on two critical factors: water depth and velocity. Based on these characteristics of the canal and the evaluated turbines, two similar models were selected. These models were subjected to fuzzy logic modeling to validate the typical conditions and to ascertain the optimal choice between the two axial turbines. The fuzzy logic approach was chosen for its ability to effectively manage uncertainty in the context of assessing the feasibility of turbines in the canal. In this study, we chose to use fuzzy logic given the hydraulic system in the channel; although it responds to an acceptable number of parameters to be analyzed, these can vary drastically within a limited range of values that are considered operationally acceptable. Therefore, by using this technique and applying a high resolution to the results, the global viability of the comparative installation can be analyzed in more detail, in addition to the results of multiple cases within the cases provided by the modification of variables in an unpredictable way. This methodical approach ensures that the selected turbine will align with the canal's unique features and the sustainability goals of the project, providing a data-driven solution for enhancing the canal's functionality and ecological footprint. The fuzzy logic models for Turbine 1 and Turbine 2 are designed to evaluate the viability of installing axial turbines in the Canal de Castilla, particularly in relation to the canal's locks. These models, shown in Figure 7, utilize Mamdani-type fuzzy inference systems to process the input variables--water depth (\"Deep\") and flow speed (\"Speed\")--which are crucial factors for the successful operation of turbines. Membership functions (MFs) for \"Deep\" and \"Speed\" inputs are defined to categorize the input data into linguistic variables such as \"Low\", \"Mid\", and \"High\". This allows the system to handle the uncertainties and vagueness inherent in real-world applications. The output variable \"SuccessProbability\" is calculated based on a set of rules that relate the depth and speed to the likelihood of successful turbine operation, with its own set of MFs to quantify the probability of success. The rule base connects the inputs to the output through logical connections, representing expert knowledge in the field. In the fuzzy logic models for Turbine 1 and Turbine 2, the rules are pivotal as they define the logic behind the decision-making process. The rule base consists of conditional statements that describe how the input variables, \"Deep\" (depth of the water) and \"Speed\" (velocity of the water flow), influence the output variable, \"SuccessProbability\" (the likelihood of successful turbine operation). The rules for the fuzzy logic models are designed based on the operational premise that for a turbine to function effectively in the Canal de Castilla, certain thresholds for water depth and speed must be met.