2022
DOI: 10.3390/en15176381
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Optimal Sizing and Techno-Economic Analysis of Grid-Independent Hybrid Energy System for Sustained Rural Electrification in Developing Countries: A Case Study in Bangladesh

Abstract: The absence of electricity is among the gravest problems preventing a nation’s development. Hybrid renewable energy systems (HRES) play a vital role to reducing this issue. The major goal of this study is to use the non-dominated sorting genetic algorithm (NSGA)-II and hybrid optimization of multiple energy resources (HOMER) Pro Software to reduce the net present cost (NPC), cost of energy (COE), and CO2 emissions of proposed power system. Five cases have been considered to understand the optimal HRES system f… Show more

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Cited by 44 publications
(11 citation statements)
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“…The results show that adopting an energy storage system can lead to an annual gain potential of 858 kWh. An optimization method using genetic algorithm (NSGA)-II and HOMER Pro (3.14) software, in [30], for an HRES in Kutubdia Island in Bangladesh, investigates how a reduction in the net present cost (NPC), cost of energy (COE), and CO 2 emissions of the proposed power system can be achieved. The results show that a PV/WT/BT/DG system has the lower NPC, while NPC obtained by the NSGA-II algorithm is 2.69% lower than that based on HOMER.…”
Section: State Of the Artmentioning
confidence: 99%
“…The results show that adopting an energy storage system can lead to an annual gain potential of 858 kWh. An optimization method using genetic algorithm (NSGA)-II and HOMER Pro (3.14) software, in [30], for an HRES in Kutubdia Island in Bangladesh, investigates how a reduction in the net present cost (NPC), cost of energy (COE), and CO 2 emissions of the proposed power system can be achieved. The results show that a PV/WT/BT/DG system has the lower NPC, while NPC obtained by the NSGA-II algorithm is 2.69% lower than that based on HOMER.…”
Section: State Of the Artmentioning
confidence: 99%
“…Figures 4 and 5 demonstrate the daily load profile and base load profile of the mining company in a year. The historical standard load profile for the metallurgical processing plant equipment was determined, considering the utilization of typical equipment loads each month, accounting for low, standard, and peak seasons [35]. introducing an HRES system within Driekop's mining sector, thereby contributing to sustainable energy practices in this resource-intensive industrial landscape (Figure 3).…”
Section: Load Profilementioning
confidence: 99%
“…Figures 4 and 5 demonstrate the daily load profile and base load profile of the mining company in a year. The historical standard load profile for the metallurgical processing plant equipment was determined, considering the utilization of typical equipment loads each month, accounting for low, standard, and peak seasons [35]. The power demand per equipment component within the mining processing plant varies, reflecting the diverse energy requirements of each operational unit, as shown in Table 3.…”
Section: Load Profilementioning
confidence: 99%
“…Objective Functions Incentive Policy Total Cost Minimization Pollution Emissions Minimization [18] Stand-alone WT/PV/Battery Genetic algorithm (GA), PSO and multi-objective PSO algorithms, and HOMER software -- [19] Stand-alone PV/WT/Battery HOMER and GAMS -- [20] Stand-alone PV/DG/Battery HOMER -- [21] Grid-connected/ Stand-alone DG/PV/WT/Micro/Hydro HOMER -- [22] Stand-alone Biogas generator/PV/DG/WT/Battery HOMER -- [23] Stand-alone PV/DG Crow search algorithm - [24] Stand-alone PV/WT/DG/Battery HOMER -- [25] Stand-alone PV/WT/Hydrogen storage/Battery Hybrid chaotic search, harmony search, simulated annealing algorithms -- [12] Grid-connected/ Stand-alone PV/WT/Biogas generator/Fuel cell HOMER - [26] Stand-alone PV/WT/DG/Biogas generator/Battery Artificial bee colony (ABC), PSO algorithms, and HOMER -- [27] Grid-connected PV/WT/Biogas generator/Battery HOMER -- [28] Stand-alone WT/PV/Battery/ Biomass generator Multi-objective GA, epsilon multi-objective genetic algorithm (ε-MOGA) -- [29] Stand-alone PV/Diesel/Battery HOMER -- [30] Grid-connected PV/Biomass gasifiers/Battery HOMER -- [31] Grid-connected PV/DG/Battery HOMER -- [32] Grid-connected PV/WT/Battery MOPSO and MOGA -- [33] Grid-connected PV/WT/Microturbine/Fuel cell/Battery Improved differential evolutionary and PSO techniques - [34] Grid-connected PV/WT/Battery/Fuel cell/Electrolyzer/ Hydrogen tank HOMER -- [35] Stand-alone PV/DG/Battery HOMER - [36] Stand-alone PV/WT/Battery HOMER -- [37] Stand-alone PV/WT/Battery/DG HOMER -This paper Grid-connected PV/DG/Battery HOMER "" refers to considered; "-" refers to not considered.…”
Section: Ref Mg Mode Component Optimization Toolmentioning
confidence: 99%