Optimal sizing and techno-economic analysis of grid-connected nanogrid for tropical climates of the savannah
Reliability and costs are mainly considered in performance analysis of renewable energy-based distributed grids. Hybrid Optimization of Multiple Energy Renewables was used in techno-economic analysis of renewable energy systems involving photovoltaics, wind, diesel and storage in tropical regions of...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd.
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/86452/1/TanCheeWei2020_OptimalSizingandTechnoEconomicAnalysis.pdf http://eprints.utm.my/id/eprint/86452/ https://dx.doi.org/10.1016/j.scs.2019.101824 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |
Summary: | Reliability and costs are mainly considered in performance analysis of renewable energy-based distributed grids. Hybrid Optimization of Multiple Energy Renewables was used in techno-economic analysis of renewable energy systems involving photovoltaics, wind, diesel and storage in tropical regions of Amazon, Central Asia and Mediterranean. In a study for a Guinea Savannah region, 70% of renewable energy fraction was achieved. However, levelized cost of energy of 0.689 $/kWh was higher than tariff rate of 0.6 $/kWh. This paper considers Hybrid Optimization of Multiple Energy Renewables to achieve lower levelized cost of energy and net present costs of a nanogrid for increased reliability and low per capita energy consumption of 150 kWh in a Sudan Savannah region of Nigeria. The proposed grid connected nanogrid aims to serve daily residential demand of 355 kWh. A range of 0.0110 $/kWh to 0.0095 $/kWh and $366,210 to $288,680 as negative values of levelized cost of energy and net present cost respectively were realized, implying potentials for a large grid export. The renewable energy fraction of up to 98% was also achieved in addition to low greenhouse gas emission of 2,328 tons/year. The results may further be consolidated with strategies for power dispatch and load scheduling. |
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