Economic Valuation of Electrical Wind Energy in Egypt Based on Levelized Cost of Energy

Sattar, Montaser Abd El; Hafez, Wessam Arafa; Elbaset, Adel A.; Alaboudy, Ali H. Kasem

doi:10.20508/ijrer.v10i4.11463.g8079

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…HOMER should include the capital cost per KW, which includes the cost of getting solar panels, installing panels, controllers, cables, and setup. The lifespan of the solar module is specified by the specification, which is 25 years [32].…”

Section: A Pv Power Generation Modelmentioning

confidence: 99%

“…Where: ρWInd is the density of the air, A is the module's surface area in m 2 , v is the wind velocity (m/s), Cp is the performance coefficient, ηt is wind turbine efficiency, ηg is generator efficiency, is wind turbine-generated electricity, is the amount of energy generated by a wind turbine every hour [32]. Cp isn't fixed, but changes by velocity, turbine rotational velocity, and rotor blade details such as angle of attack and pitch angle.…”

Section: B Wind Generator Modelmentioning

confidence: 99%

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Energy Management of Microgrid With Renewable Energy Sources: A Case Study in Hurghada Egypt

Abdelsattar,

Ismeil,

Aly

et al. 2024

IEEE Access

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This paper examines the perspective of developing a model for a microgrid to optimize the utilization of local clean energy sources for a grid-connected. The suggested model for a microgrid includes clean energy sources employing wind turbines and photovoltaic (PV) systems and diesel generators, the grid. This model is examined with HOMER software. The capacity of the suggested micro-grid model is simulated according to the load profiles and the accessibility of the resources. The basic objectives of energy management are to reduce costs and reduce harmful emissions. The microgrid model with the greatest capacity produced the lowest energy costs, depending on the simulation results, the most significant reduction in CO2 emissions, and the greatest percentage of renewable energy.

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Section: A Pv Power Generation Modelmentioning

confidence: 99%

Section: B Wind Generator Modelmentioning

confidence: 99%

Energy Management of Microgrid With Renewable Energy Sources: A Case Study in Hurghada Egypt

Abdelsattar,

Ismeil,

Aly

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…energy source in many regions globally. Nonetheless, these fossil fuels can be depleted and often have detrimental environmental effects during their conversion into usable energy forms [1], [2]. Considering the disadvantages associated with the use of fossil fuels for energy purposes, there is an immediate requirement to identify cost-effective, dependable, and environmentally friendly alternative energy sources.…”

mentioning

confidence: 99%

Optimizing Grid-Dependent Hybrid Renewable Energy System with the African Vultures Optimization Algorithm

Abdelsattar,

Mesalam,

Fawzi

et al. 2024

SVU-International Journal of Engineering Sciences and Applicati

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Countries aiming to achieve their sustainable development goals recognize the significance of adopting hybrid power systems to ensure access to clean, dependable, and cost-effective energy. In this study, an african vultures optimization algorithm (AVOA) is introduced for the efficient design of a grid-tied hybrid renewable energy (HRE) system that incorporates wind turbines, photovoltaic (PV) panels, and energy storage through batteries. The system is meticulously designed to ensure the provision of clean, dependable, and cost-effective energy through the utilization of HRE systems. Because of the complex and non-linearity of the sizing problem, AVOA, being an efficient metaheuristic approach, presents a promising solution. An empirical case study is presented, focusing on an HRE system introduced in the Zafarana region of Egypt. This case study serves as an evaluation of the effectiveness of the proposed optimizer. This study will provide valuable insights for decision-makers in Egypt, offering a practical solution to enhance the integration of intermittent renewable systems and ensure a continuous and reliable energy supply. The results achieved through AVOA are compared with those obtained using the particle swarm optimization (PSO) algorithm for evaluation. Simulation results validate the superior of the AVOA over the PSO, showing its potential to deliver promising results.

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Mountain gazelle optimizer for standalone hybrid power system design incorporating a type of incentive-based strategies

Abdelsattar,

Mesalam,

Fawzi

et al. 2024

Neural Comput & Applic

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The main objective of this research study is to improve the performance of a standalone hybrid power system (SHPS) that consists of photovoltaic modules (PVMs), wind turbines (WTs), battery system (BS), and diesel engine (DE). The emphasis is on optimizing the system's design by incorporating demand response strategies (DRSs). Incorporating these strategies into the system can enhance system performance, stability, and profitability while also reducing the capacity of SHPS components and, consequently, lowering consumers' bills. To achieve this objective, the sizing model incorporates a novel indicator called the load variation factor (LVF). This paper assesses and contrasts various scenarios, including SHPS without DRS, with DRS, and with DRS but no DE. In this article, interruptible/curtailable (I/C) as one of the DRSs is incorporated into the model used for sizing issues. A newly developed optimization algorithm called the mountain gazelle optimizer (MGO) is utilized for the multi-objective design of the proposed SHPS. The utilization of MGO will facilitate achieving the lowest possible values for each of the following: cost of energy (COE), loss of power supply probability (LPSP), and carbon dioxide (CO2) emissions. This work introduces a mathematical model for the entire system, which is subsequently simulated using MATLAB software. The results reveal that among all the scenarios analysed, scenario iii — which has an LVF of 30% — is the most cost-effective. It has the lowest COE, at 0.2334 $/kWh, hence the lowest net present cost (NPC), at 6,836,445.5 $.

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Economic Valuation of Electrical Wind Energy in Egypt Based on Levelized Cost of Energy

Cited by 7 publications

References 8 publications

Energy Management of Microgrid With Renewable Energy Sources: A Case Study in Hurghada Egypt

Energy Management of Microgrid With Renewable Energy Sources: A Case Study in Hurghada Egypt

Optimizing Grid-Dependent Hybrid Renewable Energy System with the African Vultures Optimization Algorithm

Mountain gazelle optimizer for standalone hybrid power system design incorporating a type of incentive-based strategies

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