Nuclear-renewable hybrid energy systems (N-R HESs) are being considered globally to optimize the benefits of and mitigate challenges associated with nuclear and variable renewable energy technologies. Organizations interested in adopting N-R HESs must make careful decisions to determine an optimal selection of generation resources and end-use loads. Many factors can influence preferred hybrid energy system design selection, including alignment with business mission, carbon emissions reductions, capital and operational costs, location, environmental impact, and technology maturity and scalability. A growing set of literature evaluates the viability of N-R HES configurations, focusing on assessing optimal N-R HES configurations based on economic performance. However, multiple factors, including those beyond economics, are often highly critical to decision makers. Thus, the performance of an N-R HES configuration on a single factor cannot adequately determine if the system is the overall preferred choice. A multi-criteria technology selection framework, where multiple criteria are considered and prioritized from the inception of the selection process, can facilitate the identification of optimal combinations of energy supply resources and end-use loads to meet the desired outcomes of an N-R HES. This thesis proposes a novel multi-criteria decision making methodology that guides the selection of energy generation and end-use options in a hybrid energy system with multiple generation resources (e.g., nuclear energy) and serves multiple loads. This work also describes results from a case study of example NR-HES configurations generated from the selection framework. System economic performance and generation option sizing requirements are analyzed using the HOMER Pro software package. Power flow analysis of example systems is completed via MATLAB-Simulink.