Prioritizing projects in rural electrification planning: Integrating MAUT with OnSSET
This study employs the Open-Source Spatial Electrification Tool (OnSSET) to identify the least-cost technology options, investment requirements, and capacity needed to electrify all unelectrified communities in Sokoto State, Nigeria. Based on OnSSET modelling, the total number of unelectrified settlements in the study area is 1,453, with a corresponding population of 1.28 million. Our results show that mini-grid PV is the least-cost electrification option for electrifying about 90% of the unelectrified settlements. We estimate the cost of providing basic electricity access to unelectrified communities at US$231.4 million, and the additional capacity required is 125 MW. Given the large number of unelectrified settlements, and the financial requirements for achieving universal electricity access, we proceed to prioritize the settlements using the Multi-Attribute Utility Theory (MAUT). More details