Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya
Sub-Saharan Africa (SSA) has the lowest energy access rates globally. The need for transformative energy sources ranging from solar off-grid and mini-grid solutions to hybrid micro-grid power systems has rapidly grown to deliver clean energy admittance. This research proposes a hybrid photovoltaic-w...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
|
| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174523000375 |
| _version_ | 1827963154149146624 |
|---|---|
| author | Alphonce Ngila Mulumba Hooman Farzaneh |
| author_facet | Alphonce Ngila Mulumba Hooman Farzaneh |
| author_sort | Alphonce Ngila Mulumba |
| collection | DOAJ |
| description | Sub-Saharan Africa (SSA) has the lowest energy access rates globally. The need for transformative energy sources ranging from solar off-grid and mini-grid solutions to hybrid micro-grid power systems has rapidly grown to deliver clean energy admittance. This research proposes a hybrid photovoltaic-wind turbine power system coupled to a hybridized storage system composed of a Lithium-Ion battery and a flywheel storage system which ensures reliability for off-grid electrification for rural and less accessible remote areas of Makueni County in Kenya. The optimal size of the proposed Hybrid Renewable Energy System (HRES) is estimated, using a multi-objective optimization modeling approach, taking into account the Levelized Cost of Electricity (LCOE) and reliability (energy index of self-reliance (EISR)) of the system as the main objective functions, using epsilon(ε)-constraint technique as the solving approach. A resultant Pareto front is analyzed to obtain the best compromise for COE at 0.519 USD/kWh and reliability indicator, energy index of self-reliance (EISR) at 0.997. The optimal size of the HRES was realized at 26 PV panels (330 W) and 3 wind turbines (1 kW) which satisfies the annual local load requirement of 37.94MWh. Next, the hourly performance of the proposed HRES, under different operating conditions, is evaluated, using a dynamic power control simulation model developed in Matlab-Simulink. The results revealed the proposed off-grid HRES is highly reliable, meeting the load demand sufficiently in all meteorological conditions experienced in the area of study. Furthermore, adopting a hybrid energy storage system (HESS) realized an annual potential of 858kWh storage capacity gain in the battery when coupled with the flywheel storage system. |
| first_indexed | 2024-04-09T16:53:57Z |
| format | Article |
| id | doaj.art-adba3d0b4bec45139966e6911bad6eb5 |
| institution | Directory Open Access Journal |
| issn | 2590-1745 |
| language | English |
| last_indexed | 2024-04-09T16:53:57Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj.art-adba3d0b4bec45139966e6911bad6eb52023-04-21T06:46:15ZengElsevierEnergy Conversion and Management: X2590-17452023-04-0118100381Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in KenyaAlphonce Ngila Mulumba0Hooman Farzaneh1Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, JapanInterdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan; Transdisciplinary Research and Education Center for Green Technologies, Kyushu University, Fukuoka, Japan; Corresponding author at: Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan.Sub-Saharan Africa (SSA) has the lowest energy access rates globally. The need for transformative energy sources ranging from solar off-grid and mini-grid solutions to hybrid micro-grid power systems has rapidly grown to deliver clean energy admittance. This research proposes a hybrid photovoltaic-wind turbine power system coupled to a hybridized storage system composed of a Lithium-Ion battery and a flywheel storage system which ensures reliability for off-grid electrification for rural and less accessible remote areas of Makueni County in Kenya. The optimal size of the proposed Hybrid Renewable Energy System (HRES) is estimated, using a multi-objective optimization modeling approach, taking into account the Levelized Cost of Electricity (LCOE) and reliability (energy index of self-reliance (EISR)) of the system as the main objective functions, using epsilon(ε)-constraint technique as the solving approach. A resultant Pareto front is analyzed to obtain the best compromise for COE at 0.519 USD/kWh and reliability indicator, energy index of self-reliance (EISR) at 0.997. The optimal size of the HRES was realized at 26 PV panels (330 W) and 3 wind turbines (1 kW) which satisfies the annual local load requirement of 37.94MWh. Next, the hourly performance of the proposed HRES, under different operating conditions, is evaluated, using a dynamic power control simulation model developed in Matlab-Simulink. The results revealed the proposed off-grid HRES is highly reliable, meeting the load demand sufficiently in all meteorological conditions experienced in the area of study. Furthermore, adopting a hybrid energy storage system (HESS) realized an annual potential of 858kWh storage capacity gain in the battery when coupled with the flywheel storage system.http://www.sciencedirect.com/science/article/pii/S2590174523000375Hybrid Renewable Energy SystemMulti-objective optimizationMatlab-SimulinkLevelized Cost of ElectricityEnergy index of self-reliance |
| spellingShingle | Alphonce Ngila Mulumba Hooman Farzaneh Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya Energy Conversion and Management: X Hybrid Renewable Energy System Multi-objective optimization Matlab-Simulink Levelized Cost of Electricity Energy index of self-reliance |
| title | Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya |
| title_full | Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya |
| title_fullStr | Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya |
| title_full_unstemmed | Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya |
| title_short | Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya |
| title_sort | techno economic analysis and dynamic power simulation of a hybrid solar wind battery flywheel system for off grid power supply in remote areas in kenya |
| topic | Hybrid Renewable Energy System Multi-objective optimization Matlab-Simulink Levelized Cost of Electricity Energy index of self-reliance |
| url | http://www.sciencedirect.com/science/article/pii/S2590174523000375 |
| work_keys_str_mv | AT alphoncengilamulumba technoeconomicanalysisanddynamicpowersimulationofahybridsolarwindbatteryflywheelsystemforoffgridpowersupplyinremoteareasinkenya AT hoomanfarzaneh technoeconomicanalysisanddynamicpowersimulationofahybridsolarwindbatteryflywheelsystemforoffgridpowersupplyinremoteareasinkenya |