Feasibility and techno-economic analysis of stand-alone and grid-connected PV/Wind/Diesel/Batt hybrid energy system: A case study

Das, Barun; Alotaibi, Majed A.; Das, Pronob; Islam, Md. Saiful; Das, Sajal K.; Ma, Hossain

doi:10.1016/j.esr.2021.100673

Cited by 131 publications

(51 citation statements)

References 64 publications

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“…At iteration k, at crow i, where i = 1, 2, …, Nc, i chooses another crow, let us say crow j which follows i to discover its hiding place. Thus, crow i attains a new position as shown in Equation (24).…”

Section: Mocsmentioning

confidence: 99%

“…In this study, the effect of different tracking systems (fixed, single‐axis, and double‐axis) on both systems is considered, and the simulation results show that the use of the tracking system in DG/PV/PHS is not economical. In Reference 24, the HOMER software is used to optimize the size of stand‐alone and grid‐connected systems that include PV, WT, DG, and battery with different configurations: PV/WT/DG/battery, PV/DG/battery, PV/battery, WT/DG/battery, and DG only. In Reference 25, a comprehensive study using the HOMER software and the GA algorithm in Bangladesh has been performed on several independent hybrid systems, including PV/PHS, DG/PHS, PV/DG/PHS, and PV/DG/battery, considering COE, NPC, and CO 2 objectives.…”

Section: Introductionmentioning

confidence: 99%

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Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Sadeghi

Amiri

Marzband

et al. 2022

Intl J of Energy Research

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Summary Currently, the ideal sizing of hybrid technologies is one of the vital aspects of power system design. In this article, the design and optimization of the sizing of hybrid renewable energy systems (HRESs) with power‐sharing capabilities in conjunction with electric vehicles (EVs) were proposed in two case studies. Two algorithms, namely, multi‐objective particle swarm optimization (MOPSO) and multi‐objective crow search (MOCS), have been formulated and were used to solve the problem being investigated. In case study 1 (CS1), four different HRESs are designed in the presence of EVs, meaning that for each HRES an EV and the power‐sharing capability is employed. And also, the stochastic behavior of the EV using Monte Carlo simulation (MCS) is modeled. In case study 2 (CS2), four HRESs are designed with power‐sharing capabilities, but in this case, for any of the HRESs, EV is not considered. This idea can be considered a novel breakthrough for the potential of power‐sharing has been incorporated with the integration of EVs and HRESs. This approach improves the life cycle cost and loss of power supply probability indices. In summary, both cases in the presence and absence of EVs were compared with the simulation results. The results show that the use of the proposed EV significantly reduces the total cost of the engineered system. Furthermore, two meta‐heuristic techniques were compared, and it was concluded that MOPSO had performed better than MOCS. Highlights Optimal sizing and power sharing of hybrid renewable systems with EVs. Proposed novel heuristic optimization approach using MOPSO and MOCS. Optimization of uncertainty parameters using 100 different scenarios using MCS. Economic and reliability benefits of the proposed system.

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Section: Mocsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Sadeghi

Amiri

Marzband

et al. 2022

Intl J of Energy Research

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“…The maximum amount of power consumption of a battery system is given by Equation ( 7) and the maximum battery discharge power can be calculated using Equation ( 8) [50].…”

Section: Batterymentioning

confidence: 99%

Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology

Muna

Kuo

2022

Energies

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Promoting the development of green technologies and replacing fossil fuel vehicles with electric ones can abate the environmental anxieties and issues associated with energy supply security. The increasing demand for electric vehicles requires an upgrade and expansion of the available charging infrastructure to accommodate the fast public adoption of this type of transportation. Ethiopia set a pro-electric cars policy and made them excise-free even before the first electric vehicle charging stations were launched by Marathon Motors Engineering in 2021. This paper presents the first ever technical, economic and environmental evaluation of electric vehicle charging stations powered by hybrid intermittent generation systems in three cities in Ethiopia. This paper tests this model using three different battery types: Lead-acid (LA), Flow-Zince-Bromine (ZnBr) and Lithium-ion (LI), used individually. Using these three battery technologies, the proposed hybrid systems are then compared in terms of system sizing, economy, technical performance and environmental stability. The results show that the feasible configuration of Solar Photovoltaic (PV)/Diesel Generator (DG)/ZnBr battery systems provide the lowest net present cost (NPC), with values of $2.97M, $2.72M and $2.85M, and cost of energy (COE), with values $0.196, $0.18 and $0.188, in Addis Ababa, Jijiga and Bahir Dar, respectively. Of all feasible systems, the Wind Turbine (WT)/PV/LI, PV/LI and WT/PV/LI configurations have the highest values of NPC and COE in Addis Ababa, Jijiga and Bahir Dar. Using this configuration, the results demonstrate that ZnBr battery is the most favorable choice because the economic parameters, including total NPC and COE, are found to be lowest.

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“…The mathematical modeling of the battery is given in Equations ( 2)-( 5). 47 For the BES the maximum value of stored energy can be assessed as given in Equation ( 2).…”

Section: Battery Energy Storagementioning

confidence: 99%

Technical, economic feasibility and sensitivity analysis of solar photovoltaic/battery energy storage off‐grid integrated renewable energy system

2021

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This paper aims to reduce LCOE (levelized cost of energy), NPC (net present cost), unmet load, and greenhouse gas emissions by utilizing an optimized solar photovoltaic (SPV)/battery energy storage (BES) off-grid integrated renewable energy system configured with a 21-kW SPV, 5707.8 kW BES, and a 12-kW converter system. The LCOE is reduced to 14.73% of that obtained in the diesel generator (DG)-only system by deploying the proposed energy system and to 28.61% of that obtained in the DG/battery energy system. The NPC is reduced to 14.78% of that DG and 28.70% of that DG/battery energy system.By sensitivity analysis, it is found that LCOE decreases with the increasing inflation rate and also with the decreasing discount rate. A performance compression analysis between the designed energy system and similar recent studies has also been presented. The proposed energy system reduces diesel consumption by at least 8113 L/year and total greenhouse gas emissions by at least 21 545 kg/year in the study area. Also, 13.9% of excess energy is produced per year at only 0.02% of the unmet load percentage. These outcomes are extremely relevant for making investments in policies for supplying electricity to a residential load in a low-load profile area.

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Feasibility and techno-economic analysis of stand-alone and grid-connected PV/Wind/Diesel/Batt hybrid energy system: A case study

Cited by 131 publications

References 64 publications

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology

Technical, economic feasibility and sensitivity analysis of solar photovoltaic/battery energy storage off‐grid integrated renewable energy system

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