plan4res Dataset for the Senegal 2030 Power System: Deterministic and Stochastic Case Studies

This dataset contains the data and model configuration files used for the Senegal 2030 power system case study developed with the plan4res framework within the OpenMod4Africa project and Deliverable D5.2, Energy transition pathways in the WAPP region. The dataset is based on the Senegal 2030 energy system scenario developed with GENeSYS-MOD. The corresponding GENeSYS-MOD scenario and scenario ID are available in the related dataset published on Zenodo: https://doi.org/10.5281/zenodo.20847860. Two operational case studies are included: Case study 1 – Deterministic operational assessment This configuration uses a single future realization for the year 2030. The electricity demand, photovoltaic generation, hydropower generation, renewable generation and other relevant operational profiles are represented using the profiles associated with the GENeSYS-MOD 2030 scenario. In this case, the model assumes that the future operating conditions are known and represented by one expected profile for each variable. The deterministic case is used to assess the operational feasibility of the future Senegalese power system, including the ability of the generation portfolio to meet electricity demand while respecting the technical and operational constraints of the system. Case study 2 – Stochastic operational assessment This configuration represents uncertainty by using multiple historical realizations. The profiles for electricity demand, photovoltaic generation, hydropower generation, renewable availability and related variables are based on historical years from 2000 to 2016. These historical years are used as alternative plausible future realizations of operating conditions for the 2030 power system. The stochastic case therefore allows the operational robustness of the system to be assessed under different combinations of demand, renewable generation and hydrological conditions. It also supports the application of the Seasonal Storage Valuation module to evaluate the value of stored water and reservoir management strategies under uncertainty.