Based on the values for Required Energy Capacity

To the best of our knowledge, this paper depicts the first research ever taken into constructing a concrete blue print of a renewable Myristoylcarnitine network in (one of the states of) Nigeria. Our multi-step approach is intuitive by nature: an obvious longlist of locations is reduced to a shortlist which is then further refined through integer linear programming (ILP). Throughout, we incorporate geographical, demographical, and meteorological characteristics. By running the program twice (first for SPs and SWAPs, then for SWAPs only), we get to see the location problem from two different angles. This view is then combined in a way that gives due attention to the preferable SWAPs. A practical point is that the ILP is solved in reasonable computation time, allowing us to test multiple parameter values. A final benefit of our approach is the detailed calculation of energy capacity needed to be extra built every year. In this way the SPs and SWAPs can be gradually installed using a fixed growth scenario. The multi-step approach introduced in this paper can be implemented in various geographic settings and for various meteorological conditions. The selection of the grid and the distance limit should be carefully adapted to the specific setting. In particular, general losses experienced by the state in power transmission should be taken into account.