Optimal Sizing of a Renewable Energy Hybrid System in Libya Using Integrated Crow and Particle Swarm Algorithms

Elbaz, Abdurazaq; Guneser, Muhammet Tahir

doi:10.25046/aj060130

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…Water is the waste product that is taken out of the cell in this instance. Oxygen joins H+ ions from the electrolyte and water, as well as electrons from the electrodes, at the cathode Equation (10) shows the reaction [40]. It has a fuel cell that is a "Generic Small Size Generator."…”

Section: Fuel Cellmentioning

confidence: 99%

“…The findings confirmed the calculation's supremacy and legitimacy in analyzing the optimal HES estimate. Hemeida et al [10] performed a review to look at the best strategy for a hybrid sustainable framework in Libya using both crow calculations and molecular swarm optimization. The crow calculation was shown to be more useful and efficient than the molecular swarm advancement calculation.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Basheer¹,

Waqar²,

Qaisar³

et al. 2022

Preprint

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Cement manufacturing is one of the most energy-intensive industries in the world. Most of the cost of producing cement is accounted by fuel consumption and power expenditures. Thermal power plants are the major source of electricity in Pakistan. But they are not efficient and environmentally friendly. This study simulates four different models for five cement plants of Pakistan on Homer Pro software and compares the optimal solutions based on the net present cost (NPC), levelized cost of electricity (LCOE) and greenhouse gas (GHG) emissions. Model-1 consists of solar panels, electrolyzer, hydrogen tank, hydrogen generator and converter. Model-2 has only a diesel generator and acts as a base case in this study. Model-3 has solar panels and a battery-converter system. In Model-4, diesel generators, solar panels and converters are considered. Based on NPC, the most optimal model is Model-4, having a 0.249 $/KWh LCOE in islanded systems. The NPC and operating costs are US$540 million and US$ 32.5 million per year, respectively, with a 29.80% reduction in CO2 emissions when compared to the base case. Based on GHG emissions, Model-1 and Model-3 are the best models with 0% GHG emissions. Sensitivity analyses is also performed using the parameters of load, inflation rate and discounted rate. The results prove that the proposed hybrid micropower systems (HMS) can sustainably provide electricity for 24 hours a day to the sites under consideration with minimum objectives.

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Section: Fuel Cellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Basheer¹,

Waqar²,

Qaisar³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The findings confirmed the superiority and validity of the developed algorithm in investigating the optimal HES sizing. Hemeida et al [10] carried out a study to explore the optimal design of a hybrid renewable system in Libya using both particle swarm optimization and crow algorithms. It was found that the crow algorithm is more cost-effective and efficient than the particle swarm optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

et al. 2022

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Hybrid energy systems (HESs) consisting of both conventional and renewable energy sources can help to drastically reduce fossil fuel utilization and greenhouse gas emissions. The optimal design of HESs requires a suitable control strategy to realize the design, technical, economic, and environmental objectives. The aim of this study is to investigate the optimum design of a grid-connected PV/battery HES that can address the load requirements of a residential house in Iraq. The MATLAB Link in the HOMER software was used to develop a new dispatch strategy that predicts the upcoming solar production and electricity demand. A comparison of the modified strategy with the default strategies, including load following and cycle charging in HOMER, is carried out by considering the techno-economic and environmental perspectives. According to optimization studies, the modified strategy results in the best performance with the least net present cost (USD 33,747), unmet load (87 kWh/year), grid purchases (6188 kWh/year), and CO2 emission (3913 kg/year). Finally, the sensitivity analysis was performed on various critical parameters, which are found to affect the optimum results on different scales. Taking into consideration the recent advocacy efforts aimed at achieving the sustainable development targets, the models proposed in this paper can be used for a similar system design and operation planning that allow a shift to more efficient dispatch strategies of HESs.

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“…Hemeida and co. Using computational modeling and molecular swarm optimization, [19] in Libya, the most effective technique for a hybrid structured methodology was explored. An existing models with numerous goals proposed in [20] determines crossover systems between various source configurations.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro

Basheer¹,

Qaisar²,

Waqar³

et al. 2022

Preprint

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Cement industry is one of the highest energy consuming industries. The quantity of fuel and energy needed accounts for most of the cost of cement manufacturing. Thermal power plants generate electricity but are harmful and ineffective by nature. As a backup mechanism to account for main grid failures, batteries can be utilized. In this paper the first ever investigation on battery’s depth of discharge (DOD) for four different kinds of battery technologies is carried out in the framework of cement industry. The intended battery technologies are the lead-acid battery (LA), lithium-ion battery (Li-ion), vana-dium redox battery (VR), and nickel–iron battery (Ni-Fe). Four hybrid energy generation models (HEGMs) for five cement plants of Pakistan using the HOMER pro software are proposed. Cement plants includes Askari Cement Plant, Wah (ACPW); Bestway Cement Plant, Kalar Kahar (BCPKK); Bestway Cement Plant, Farooqia (BCPF); Bestway Cement Plant, Hattar (BCPH); and DG Cement Plant, Chakwal (DGCPC). HEGM-1 comprises of a diesel generator (DGen), a photovoltaic system (PV), a converter, and a battery system. HEGM-2 comprises of a PV system, a converter, and a battery system. HEGM-3 is the grid-connected version of HEGM-1 and HEGM-4 is the grid-connected version of HEGM-2. A base-model consisting of grid only is used as a reference. A multi-criteria decision analysis (MCDA) is performed by formulating a cumulative objective function (COF) which includes net present cost (NPC), levelized cost of energy (LCOE), and greenhouse gas (GHG) emissions. The principal objective is the maximization of COF while simultaneously minimizing the objectives (NPC, LCOE and GHG emissions), based on optimal battery technology and DOD. The results reveal that VR is the most suitable battery technology with 10% DOD. It is achieved for DGCPC with HEGM-3 with 61.49% of NPC, 78.62% of LCOE and 84.00% of GHG emissions reduction as com-pared to the base model.

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Optimal Sizing of a Renewable Energy Hybrid System in Libya Using Integrated Crow and Particle Swarm Algorithms

Cited by 6 publications

References 19 publications

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro

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