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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Techno-Economic Sustainability Analysis of Optimal Microgrid Systems with Hybrid Renewable Energy Technologies

Authors: Hachimenum Nyebuchi Amadi; Richeal Chinaeche Ijeoma; Ugochi Benedicta Uche-Ibe;

Techno-Economic Sustainability Analysis of Optimal Microgrid Systems with Hybrid Renewable Energy Technologies

Abstract

The increasing global demand for clean, reliable, and economically viable electricity has accelerated the adoption of micro-grid systems integrating multiple renewable energy technologies. Hybrid renewable micro-grids combining resources such as solar PV, wind, biomass, and energy storage offer significant potential for enhancing energy resilience while reducing dependence on fossil fuels. However, determining the optimal configuration of these systems requires comprehensive evaluation of their technical performance, economic feasibility, and long-term sustainability. This study presents a techno-economic sustainability analysis of optimal micro-grid systems incorporating hybrid renewable energy technologies. Using advanced optimization techniques, the research assesses system configurations under varying load demands and resource conditions to achieve an optimal balance between cost, reliability, and environmental performance. Key indicators such as Levelized Cost of Energy (LCOE), Net Present Cost (NPC), renewable fraction, system reliability index, and carbon emission reduction potential are analyzed to quantify the system's performance. The findings demonstrate that properly optimized hybrid renewable micro-grids can significantly reduce lifecycle costs and emissions while ensuring a stable power supply, making them a viable solution for rural electrification, grid support, and sustainable energy transitions. This work provides critical insights for policymakers, system designers, and energy planners seeking to implement resilient, low-carbon micro-grid systems for enhanced energy sustainability.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green