A new optimal sizing methodology of storage-less PV system for retrofitting existing diesel-based power generation system within mini-grids

Khirennas, A.; Kaabeche, Abdelhamid; Talha, Abdelaziz; Bakelli, Yahia

doi:10.1016/j.enconman.2021.114854

Cited by 7 publications

(1 citation statement)

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“…The optimized system had a COE of 0.207 USD/kWh during running on the load following strategy. A novel PV-sizing optimization technique was introduced by Khirennas et al to study the impact of PV integration into existing diesel systems at a lower penetration level [7]. The proposed system's levelized cost of energy (LCOE) was 0.275 USD/kWh, which is 13.32% more cost-efficient than only a dieselbased system (0.317 USD/kWh).…”

Section: Introductionmentioning

confidence: 99%

Sizing of an Island Standalone Hybrid System Considering Economic and Environmental Parameters: A Case Study

et al. 2022

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Due to the significance of environmental aspects, the modeling of hybrid systems should be performed with the lowest cost and environmental pollution. Therefore, an effective and optimum sizing method can ensure acceptable performance. This paper implements a “technique for order performance by similarity to the ideal solution” (TOPSIS) method combined with the “analytic hierarchy process (AHP)” method to size a standalone system based on techno-economic parameters. For this reason, a survey was conducted to collect local load data on Monpura Island, located in Bhola, Bangladesh. Visible and design faults of the existing PV/diesel mini-grid have also been identified. Five alternative hybrid configurations have been considered as to evaluate the best optimum system. Two economic and one environmental criterion was used to size the system. Two experts specialized in energy systems evaluated the criteria and proposed the suitable system. Battery, wind and PV capital cost multipliers have been considered as to perform sensitivity analysis. According to techno-economic analysis and expert opinion, PV/biogas/wind has been found to be the most appropriate system among these configurations. The system has a cost of electricity (COE) of 0.691 (USD/kWh) and emits only 4.43 kg of CO2 per year. The net present cost of the proposed system is 18% lower than the existing microgrid, and the model has lower emissions due to high renewable penetration. It was also found that integrating wind can significantly reduce battery capacity in the mini-grid. The proposed system consumes 34% less batteries than the existing system. Implementing this optimum system can result in greater benefit to the local people.

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Section: Introductionmentioning

confidence: 99%