Study Shows How Hybrid Green Energy Can Be Optimized for Off-Grid Locations

A recent study has found that hybrid-renewable-energy system (HRES) configurations can be optimized to serve off-grid locations more efficiently. Published in the “Scientific Reports Journal”  the research involved a robust analysis of different HRES configurations designed to generate energy for rural Ethiopian communities; research findings could be applied to similar off-grid locations.

Researchers used the most-advanced optimization techniques to figure out optimal means of sizing and integrating green-energy sources such as wind, pumped hydroenergy storage (PHES) and solar photovoltaic (PV) to off-grid locations to ensure they can reliably deliver affordable electricity. As such locations have minimal to zero connection to national grids, they offer governments a means of ensuring some places use only renewables right from the start.

HRES presents a potential solution to limited grid connections, especially in emerging nations, by mitigating many of the challenges that remote and often underserved communities usually experience. They leverage several different green-energy sources and storage configurations and take advantage of how these multiple sources complement each other to facilitate the consistent and reliable delivery of affordable sustainable energy.

Pumped hydro-energy storage especially has the potential to boost an HRES’s resilience and flexibility because it will help energy providers address the intermittent energy production seen in wind and solar energy generation. Both wind and solar are great power sources, but they need energy-storage facilities to store the excess energy generated during peak production hours and distribute it when energy demand is high. Consequently, integrating energy storage with renewables could help energy providers overcome the intermittent nature of wind and solar.

With such projects designed to work in developed communities, researchers mostly focused on reducing their cost of energy (COE) as well as the total life cycle costs (TLCC) on top of creating a reliable supply of clean energy. The Multiobjective Grasshopper Optimization Algorithm (MOGOA) and Multiobjective Gray Wolf Optimization (MOGWO) algorithms were especially instrumental in optimizing the sizing of PHES, wind and PV components used in hybrid renewable energy systems.

These algorithms helped researchers determine the most optimal configurations that balanced economic feasibility, technical efficiency and energy demands. Their findings could have significant implications for the Ethiopian community involved in the study as well as similar communities in other locations, with the combination of PHES, PV and wind potentially setting the standard for such green-energy initiatives in the future.

According to the researchers, integrating advanced energy-storage technology such as PHES with demand-side management strategies could help increase system resilience and efficiency even further.

Entities such as FuelPositive Corp. (TSX.V: NHHH) (OTCQB: NHHHF) can also come up with innovative solutions to make green energy an increasingly viable option within off-grid communities.

NOTE TO INVESTORS: The latest news and updates relating to FuelPositive Corp. (TSX.V: NHHH) (OTCQB: NHHHF) are available in the company’s newsroom at

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