Electrification of remote areas in the developing world can greatly improve the health and economic standing of the population. Unfortunately, providing power to these remote areas can be expensive and determining the most economical solution is not trivial. This paper presents a method to compare the economics of different small-scale power systems for developing world. In this method, models are developed to describe the performance of power systems composed of diesel generators, batteries with photovoltaics or wind turbines, and hybrid systems. These models are coupled to an optimizer to determine the lowest cost solution that meets the desired system reliability. The reliability is expressed as Loss of Load Probability, and is computed using hourly solar and wind data. In this paper, this method is used to design a power system for a small hospital in the developing world. The results are presented for three sample locations in Honduras, Pakistan, and Uganda. Results show that the economic attractiveness of different technologies varies greatly due to local climatic conditions. The variety and soundness of the solutions found using this method show that it can aid in the design of a small-scale power system for any location in the developing world.

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