Feasibility analysis and techno-economic design of grid-isolated hybrid renewable energy system for electrification of agriculture and irrigation area: A case study in Dongola, Sudan

Elkadeem, M.R.; Wang, Shaorong; Sharshir, Swellam W.; Atia, Eman G.

doi:10.1016/j.enconman.2019.06.085

Cited by 237 publications

(101 citation statements)

References 70 publications

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“…Particle Swarm Optimization (PSO) optimizers look for other best values present in the population. When a particle stores as its topological neighbors the best population, the superior value is a global best (G-best) [32]. The architecture of Particle Swarm Optimization was presented in Fig.…”

Section: Pso Optimization Algorithmmentioning

confidence: 99%

Techno-Economic Feasibility to Generate Electricity by Using PSO Technique for the Urban City in Iraq: Case Study

AL-Shammari

Azizan³

et al. 2020

IJIE

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Many global problems have recently arisen regarding rising electrical power consumption resulting in increased costs of electricity, raising concerns about non-renewable energy consumption. Unregulated electrical power generation, climate variation and global warming have all been shown to directly impact environmental degradation, leading to an emergence of severe economic and political repercussions, worldwide [1]. Thus, nations have striven towards clean energy production. Renewable energy production can assist countries in meeting sustainable energy production goals by providing access to safe, cost-effective and clean energy [2]. Despite the benefits of renewable energy, it has limitations due to weather variations, instability and other anomalies which reduce generation efficiency and reliability [3]. Thus, hybrid renewable energy systems could address limitations like efficiency, reliability and economics to satisfy overall energy demands [4]. Many studies have attempted to optimize size, design, control and economic aspects of hybrid renewable energy systems through utilization of technology such as wind turbines and solar modules in conjunction with alternative energy storage systems [5]. To bypass limitations associated with such solutions, various optimization methods, software and analytical methods have been previously applied [6]. However, the utilization of hybrid resources is a contested topic, making a global optimum solution hard to find. To address this,

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Section: Pso Optimization Algorithmmentioning

confidence: 99%

Techno-Economic Feasibility to Generate Electricity by Using PSO Technique for the Urban City in Iraq: Case Study

AL-Shammari

Azizan³

et al. 2020

IJIE

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“…This domination of diesel-based electricity systems is due to the low investment cost of these systems, permanent electricity shortages caused by low energy generation and the low coverage of national transmission lines. However, these systems have high maintenance costs, are noisy, and cause air pollution ( Elkadeem et al, 2019a , Elkadeem et al, 2019b ). This has led the government to initiate a promising renewable energy program which is supposed to increase electricity production from renewable resources to 20% from 0.38% by 2030 and 100% by 2050 ( Murdock et al 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Determination of the optimal solar photovoltaic (PV) system for Sudan

Fadlallah

Serradj

2020

Solar Energy

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Highlights Finding the optimal solar PV and the best locations for the utilization of solar energy in Sudan using HOMER. Investigating the costs and emissions that would be avoided using PV instead of diesel generators. Examining the effect of solar panel price on the project economics. The optimal solar PV was determined to be Studer VarioTrack VT-65 with generic PV. The optimal location for the employment of solar energy in Sudan is Wawa.

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“…35 Recent studies related to optimization of HRES, focus on the complementarity of PV and WT technologies, the analyzes are increasingly complex. 36 In some cases, simulation results and sensitivity analysis have shown that in PV-WT-DG the efficiency is higher than PV-DG system. 17,[37][38][39][40][41] However, a complete optimization and sensitivity analysis has not yet been done in the literature, combining the renewable sources PV, HKT, WT, DG and ESS.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic evaluation of renewable energy systems combining PV‐WT‐HKT sources: Effects of energy management under Ecuadorian conditions

Arévalo

Benavides

Lata‐García

2020

Int Trans Electr Energ Syst

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Sustainable development reached a new energy paradigm in recent decades, by promoting renewable generation technologies. The present study performs a techno-economic analysis of several hybrid energy systems that combine wind generators, photovoltaic systems, hydrokinetic turbines, lead acid batteries, and diesel generators in southern Ecuador. From real data, the sizing optimization of each renewable system was done under three proposed energy control algorithms. Then, the combinations of renewable systems are compared based on costs, energy, and environment. Additionally, this study includes several sensitivity analyzes varying the cost of the components and fuel, minimum state of charge in batteries, scaled electric load and time step to better understand the impact caused in each renewable hybrid system. The results show that a system composed of three renewable sources under load following and cycle charging energy controls, is cheaper and less polluting with respect to any combination of sources proposed. In addition to this, the systems that include photovoltaic systems and diesel generators present lower cost, 0.36 US$/kWh in the best case. To reduce the operability of the diesel List of Symbols and Abbreviations: P PV , output power of a photovoltaic system (kW); Y PV , rated capacity of the photovoltaic array (kW); f PV , photovoltaic derating factor (%); G T , incident solar radiation on the photovoltaic array (kW/m 2); G T,STC , incident solar radiation at standard test conditions (kW/m 2); α P , power coefficient of photovoltaic array (%/ C); T c , photovoltaic cell temperature (C); T c,STC , photovoltaic cell temperature at standard test conditions (C); η mp , maximum power point efficiency of photovoltaic array at standard test conditions (%); τ, solar transmittance of the photovoltaic array (%); α, solar absorptance of the photovoltaic array (%); P WT , output power of wind turbine (kW); v cin , cut in wind speed (m/s); v count , cut off wind speed (m/s); v r , rated wind speed (m/s); P rated , nominal power limit of wind turbine (kW); ρ air , air density (kg/m 3); R, rotor radius of wind turbine (m); C p , power coefficient of wind turbine (%); v i , wind speed (m/s); P HKT , hydrokinetic turbine electrical power output (kW); ρ w , water density (kg/m 3); C p,H , hydrokinetic turbine performance coefficient (%); η HKT , combined hydrokinetic turbine-generator efficiency (%); A, hydrokinetic turbine sweep area (m 2); v, river speed (m/s); t, time (s); E HKT , energy of hydrokinetic turbine (kWh); P DG , diesel generator electrical power output (kW); η DG , diesel generator efficiency (%); E batt (t), energy stored in batteries over time t (kWh); E batt (t − 1), energy stored in batteries over time (t − 1) (kWh); σ, battery self-discharge rate; η batt , efficiency of battery during the charging process (%); P Linv (t), power of bidirectional converter in alternating current (kW); P inv (t), power of bidirectional converter in direct current (kW); η inv , efficiency of bidirectional converter (%); C...

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Feasibility analysis and techno-economic design of grid-isolated hybrid renewable energy system for electrification of agriculture and irrigation area: A case study in Dongola, Sudan

Cited by 237 publications

References 70 publications

Techno-Economic Feasibility to Generate Electricity by Using PSO Technique for the Urban City in Iraq: Case Study

Techno-Economic Feasibility to Generate Electricity by Using PSO Technique for the Urban City in Iraq: Case Study

Determination of the optimal solar photovoltaic (PV) system for Sudan

Techno‐economic evaluation of renewable energy systems combining PV‐WT‐HKT sources: Effects of energy management under Ecuadorian conditions

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