Resource Adequacy is one of the key components of generation system planning. The question to be answered: is there enough installed capacity to meet the demand. As energy-limited generation resources, namely wind, solar and energy storage, are increasing, system operators are concerned about the reliability of supply due to the limited operation of energy-limited resources on a continuous basis. Estimating the contribution of these resources to the power system, also known as capacity value, to ensure adequate supply is of interest to researchers and system operators. In the literature, the capacity value of energy-limited resources in different jurisdictions around the world have been analyzed using different methods. It is important to understand the characteristics of the power system under study to determine the appropriate capacity value method. In this thesis, the capacity value of energy-limited resources based on Alberta's power system is analyzed. This work has been motivated by the newly-designed capacity market in Alberta. Therefore, this thesis focuses on determining the capacity value of these energy-limited resources using the probabilistic-based Effective Load Carrying Capability (ELCC) method and Alberta's capacity market design proposed approximation-based Capacity Factor (CF) method. The capacity value on a facility level using these two methods and the impact of the capacity value from the CF method on the capacity payments based on Alberta's capacity market design is assessed. The annual capacity payments are determined based on the performance assessment of these resources during the period 2012-2017. Then, the capacity value of bulk energy-limited resources on the power system using the ELCC and CF methods is also analyzed. The results obtained from this thesis show that the two methods used do not yield similar capacity values. Also, based on the performance assessment, the systems with aggregated wind and storage receive the highest capacity payments and the wind assets receive the lowest capacity payments among the scenarios presented in this thesis.