CLIN5 – Batch 1 Geographical Context and Assumptions

A total of 18 sites were visited and analyzed as part of this project. The regions were selected based on their potential for renewable energy integration and economic growth. Key assumptions underlying the CLIN5 – Batch 1 project include the conversion of technical losses, which are estimated at 10% for all grids. However, for grids with medium-voltage lines and transformers, the operating reserve is increased to 15%. Productive loads are unique to each town and were determined through surveys conducted at each site. The Eaton towers were modeled separately, with distinct load profiles based on the presence or absence of on-site solar power. The project aims to achieve a minimum renewable energy fraction of 85% for all mini-grids. As the system degrades over time, operations should remain at least 75% solar, which is a critical threshold for donors and investors with carbon emissions reduction targets. Each site will include a diesel generator for backup and reliability purposes, which will be operated in Load Following mode to serve load when neither solar nor batteries are available. The cost of diesel was modeled in accordance with survey results collected by enumerators at each mini-grid site. Preliminary economic payback projections indicate that the CLIN5 – Batch 1 initiative has the potential to generate significant returns on investment. The project's focus on renewable energy integration and energy efficiency measures is expected to reduce energy costs and increase economic growth in the target regions. The results of the project will provide valuable insights into the feasibility and potential of mini-grid development in Niger, and will inform future investments in the energy sector. The engineering results and budgetary analysis of the CLIN5 – Batch 1 project will be critical in determining the project's overall success and impact. The analysis will provide a detailed breakdown of the project's costs and benefits, and will help to identify areas for improvement and optimization. The results of the analysis will be used to inform future project development and to ensure that the project meets its intended objectives.