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Mr. Keifa Konneh
University of the Ryukyus, Okinawa, Japan

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0 Resiliency
0 microgrids
0 energy economic analysis
0 Power system planning
0 Grid Analytics

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Journal article
Published: 18 May 2021 in Sustainability
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The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in the local population and the number of visitors visiting the Banana Islands. Banana Islands is a grid-isolated environment with abundant renewable energy, establishing a hybrid renewable energy-based power system may be a viable solution to the high cost of diesel fuel. This paper describes a dual-flow optimization method for electrifying the Banana Islands, a remote island in Sierra Leone. The study weighs the pros and cons of maintaining the current diesel-based power setup versus introducing a hybrid renewable energy system that takes backup component analysis into account. Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in the first optimization to optimally design the various system configurations based on techno-economic and environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model that takes into account in the second optimization, the Combinative Distance-based Assessment System (CODAS) algorithm, and various methods of assigning weights to the attributes is used to rank the best configuration. The results show that the hybrid renewable energy system is a better option for electrifying the Banana Islands than the current stand-alone system. The Analytical Hierarchy Process (AHP) method of weight assignment was found to be superior to the Entropy method. Biogas generator-assisted hybrid configurations outperformed diesel generator-assisted hybrid configurations. With an optimum design of 101 kW PV, 1 wind turbine, 50 kW biogas, 86 batteries, and a 37.8 kW converter, the PV-wind-biogas-battery system is rated as the best configuration. It has a net present cost (NPC) of $487,247, a cost of energy (COE) of $0.211/kWh, and CO2 emission of 17.5 kg/year. Sensitivity analyses reveal that changes in the rate of inflation and the cost of storage have a significant effect on the overall cost of the configuration.

ACS Style

Keifa Konneh; Hasan Masrur; Mohammad Othman; Hiroshi Takahashi; Narayanan Krishna; Tomonobu Senjyu. Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis. Sustainability 2021, 13, 5615 .

AMA Style

Keifa Konneh, Hasan Masrur, Mohammad Othman, Hiroshi Takahashi, Narayanan Krishna, Tomonobu Senjyu. Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis. Sustainability. 2021; 13 (10):5615.

Chicago/Turabian Style

Keifa Konneh; Hasan Masrur; Mohammad Othman; Hiroshi Takahashi; Narayanan Krishna; Tomonobu Senjyu. 2021. "Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis." Sustainability 13, no. 10: 5615.

Journal article
Published: 26 April 2021 in IEEE Access
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The concept of introducing hybrid off-grid systems has made electricity accessible to areas that are far or have no access to grid network. This paper evaluates the techno-economic and environmental characteristics of a hybrid renewable energy system considering three different scheduling approaches, four different solar tracking systems, two different PV modules and eight scheduling scenarios to supply sustainable electricity to a rural community in Sierra Leone. Each scenario consists of a solar tracking system, a specific type of PV module and a scheduling approach. The aim is to find the most efficient and cost-effective scenario that meets the electrical demands of the village. Results revealed that the ‘Two axis tracking system’ generated the highest PV power, 28.8% additional power compared to the ‘No tracking system’ confirming the superiority of using a tracking system though it comes with initial cost repercussions. Also, systems that employed the use of Canadiasolar Dymond CS6K-285M-FG PV module tend to be more efficient and cost-effective than those that employed Sharp ND-250QCS PV module even with the same solar tracking technology and scheduling approach. From the best scheduling approach (third scheduling), Scenario 7 (SC#7) gives the lowest net present cost (NPC) of $ \$ $ 1.53M with $ \$ $ 0.173/kWh cost of energy (COE) and CO 2 emission of 8.54 kg/yr making it the optimum scenario. A daily operation of the optimum scenario on both a sunny and rainy day confirms that the system is capable of supplying the required electricity for both rainy and dry seasons. Sensitivity analyses explain the high reliance of the system cost on the erratic inflation rate, discount rate and PV derating factor. Maintaining a healthy and sustainable environment depends on the minimum load ratio of both the biogas and diesel generators.

ACS Style

Keifa Vamba Konneh; Hasan Masrur; Mohammad Lutfi Othman; Noor Izzri Abdul Wahab; Hashim Hizam; Syed Zahurul Islam; Peter Crossley; Tomonobu Senjyu. Optimal Design and Performance Analysis of a Hybrid Off-Grid Renewable Power System Considering Different Component Scheduling, PV Modules, and Solar Tracking Systems. IEEE Access 2021, 9, 64393 -64413.

AMA Style

Keifa Vamba Konneh, Hasan Masrur, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab, Hashim Hizam, Syed Zahurul Islam, Peter Crossley, Tomonobu Senjyu. Optimal Design and Performance Analysis of a Hybrid Off-Grid Renewable Power System Considering Different Component Scheduling, PV Modules, and Solar Tracking Systems. IEEE Access. 2021; 9 ():64393-64413.

Chicago/Turabian Style

Keifa Vamba Konneh; Hasan Masrur; Mohammad Lutfi Othman; Noor Izzri Abdul Wahab; Hashim Hizam; Syed Zahurul Islam; Peter Crossley; Tomonobu Senjyu. 2021. "Optimal Design and Performance Analysis of a Hybrid Off-Grid Renewable Power System Considering Different Component Scheduling, PV Modules, and Solar Tracking Systems." IEEE Access 9, no. : 64393-64413.

Journal article
Published: 17 February 2021 in Energies
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Photovoltaic (PV) systems encounter substantial losses throughout their lifespan due to the different derating factors of PV modules. Those factors mainly vary according to the geographical location and PV panel characteristics. However, the available literature does not explicitly concentrate on the technical and economic impact of the derating factors within the PV system. Owing to that necessity, this study performs a comprehensive analysis of various PV loss parameters followed by a techno-economic assessment of derating factors using the average value on a grid-connected and optimally tilted PV system located in Hatiya, Bangladesh. Some criteria linked to the derating factors such as PV degradation and ambient temperature are further explored to analyze their impact on the aforementioned power system. Simulation results show that PV power generation would vary around 12% annually, subject to a 10% variation in the derating factor. Again, a 10% difference in the derating factor changes the net present cost (NPC) by around 3% to 4%. The system provides the best technical performance concerning annual PV production, power trade with the grid, and the renewable fraction at a higher value of the derating factor since it represents a lower impact of the loss parameters. Similarly, the financial performance in terms of the NPC, levelized cost of energy (LCOE), and grid power exchange cost is found to be lower when the derating factor value is higher.

ACS Style

Hasan Masrur; Keifa Konneh; Mikaeel Ahmadi; Kaisar Khan; Mohammad Othman; Tomonobu Senjyu. Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems. Energies 2021, 14, 1044 .

AMA Style

Hasan Masrur, Keifa Konneh, Mikaeel Ahmadi, Kaisar Khan, Mohammad Othman, Tomonobu Senjyu. Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems. Energies. 2021; 14 (4):1044.

Chicago/Turabian Style

Hasan Masrur; Keifa Konneh; Mikaeel Ahmadi; Kaisar Khan; Mohammad Othman; Tomonobu Senjyu. 2021. "Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems." Energies 14, no. 4: 1044.