Modeling and optimizing a sub-centralized LED lamps provision system for rural communities

Providing clean and sustainable energy for all is an ever elusive challenge, especially encountered in remote and poor rural areas. Cost-effective solutions have been found through renewable energy systems (RES) which, when combined with specialized products like rechargeable lamps using light emitting diodes (LED), can provide the basic energy needs (lighting) of rural homes, while replacing fossil-fuel based energy sources (e.g. kerosene lamps). The investigation presents an LED lamps provision system which circumvents the cost and technical challenges that currently hamper LED lamps diffusion into communities. Based on an actual rural island case (Pangan-an Island, Philippines), a sub-centralized lamp rental and charging system was mathematically modeled and analyzed (analytically and numerically) to identify the optimal states and policies, along with the effects of certain parameters, which promote financial viability and supply sustainability. It was found that a dynamically optimized lamp(s) purchase policy yields better financial returns than a statically optimized policy. Furthermore, it was realized that a sub-centralized lamps rental approach can serve as a complementary energy provision system for rural electrification projects by providing for the lower-tier energy demand market of low income users within a community.