Wind energy potential and cost estimation of wind energy conversion systems (WECSs) for electricity generation in the eight selected locations of Tigray region (Ethiopia)

Gaddada, Satyanarayana; Kodicherla, Shiva Prashanth Kumar

doi:10.1186/s40807-016-0030-8

Cited by 27 publications

(16 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kumar and Gaddada (2015) have explored the outputs of four statistical methods to evaluate Weibull parameters for wind energy applications in four selected sites, located in northern Ethiopia. Gaddada and Kodicherla (2016) have evaluated wind power capacity and wind energy cost estimates for electricity generation systems in eight selected locations in Tigray (Ethiopia). Kodicherla et al (2017) explored the potential of wind energy and developed an economic assessment of the water pumping system in various wind power conversion systems.…”

Section: Introductionmentioning

confidence: 99%

Wind turbine performance analysis for energy cost minimization

Charabi

Abdul‐Wahab

2020

Renewables

View full text Add to dashboard Cite

The use of wind energy worldwide has overgrown in recent years to reduce greenhouse gas emissions. Wind power is free, but the installation and maintenance of wind turbines remain very costly. The size of the installation of the wind turbine is not only determined by wind statistics at a given location, but also by turbine infrastructure and maintenance costs. The payback time of the turbine is dependent on turbine energy costs. This study estimates the wind power generation capacity of Northern and Southern Oman and discusses the selection of the most economical, efficient and reliable wind turbines in Oman. HOMER Pro Software was used in this paper to evaluate the wind energy data in the north and south of Oman and to provide well-informed guidance on the most suitable turbines for the power needs of each area. Six different standard wind turbines were measured and compared in terms of the cost of energy and performance. The simulation analysis reveals that the DW54 turbine is the best possible turbine to generate electricity in northern Oman at $0.119/kW. Due to the difference in the wind regime between the north and the south of Oman, the simulation showed that the Hummer H25.0-200 kW turbine is the best option for south Oman with power generation at $0.070/kW. The northern wind turbine plant can efficiently contribute to decarbonization of the energy sector in Oman, with a potential reduction of CO 2 emission approximately 19,000 tons/year in comparison to natural gas and 28,000 tons/year in comparison to diesel. In the Southern Power Plant, carbon emissions are reduced by 18,000 and 12,000 tons/year compared to diesel and natural gas.

show abstract

Section: Introductionmentioning

confidence: 99%

Wind turbine performance analysis for energy cost minimization

Charabi

Abdul‐Wahab

2020

Renewables

View full text Add to dashboard Cite

show abstract

“…Thus, by analyzing the work of Okeniyi et al [8] in Nigeria (Kaduna, Warri, Calabar), Ajayi et al [15] in Nigeria (Shaki and Iseyin in Oyo State), Gökçeka et al [16] in Turkey, Ahmed [17] in the East Red Sea coast of Egypt, Ajayi et al [18] in the southwestern region of Nigeria, Kassem et al [20] in two northern regions of Nigeria, and Kassem, et al [20] in the northwestern region of Nigeria. [22] in two regions of northern Cyprus, Gaddada and Kodicherla [21] in the Tigray region of Ethiopia, it is noted that the price of the kilowatt-hour has been evaluated respectively at (0.0.0507, 0.0774, 0. euro. These different costs are mostly much lower than the cost obtained in this study.…”

Section: Project Sustainabilitymentioning

confidence: 99%

“…The production costs of the wind farm obtained by the authors ranged from 0.023 to 0.04 Euro/kWh. Gaddada and Kodicherla [21] selected three commercial wind turbines as large-scale wind energy conversion systems (WECS) for the technical evaluation of power generation through the present value cost (PVC) method in eight selected locations in the Tigray region of Ethiopia. The minimum average cost per kWh obtained in Mekele was $0.0011/kWh with VESTAS V110-2.…”

Section: Introductionmentioning

confidence: 99%

Study of the Decentralized Electrification by a Micro-Wind Power Plant: Case of Ahouandji Locality in Southern Benin

Donnou

N’Gobi²,

Hilaire

et al. 2021

TH Wildau Eng. Nat. Sci. Proc.

View full text Add to dashboard Cite

Access to energy is a major challenge for the socio-economic well-being of populations. In Benin, the electric energy sector is characterized by a low rate of access to energy in rural area (6.6% in 2017) and dependence on the outside at 40%. In the village of Ahouandji (Ouidah commune) located on the coast of Benin and far from the conventional network, the surface winds are regular and permanent. However, this wind resource is untapped despite the unavailability of electrical energy. To cope with this difficulty, this study therefore addresses the design and sizing of a micro-wind power plant to supply the region. Wind data at 10 m above the ground recorded over the period January 1981 to December 2014 by the Agency for the Safety of Air Navigation in Africa (ASECNA) were used. Based on the socio-economic study of the locality and the statistical study of the winds by the Weibull distribution and the power law, the sizing of the wind power plant components was carried out. The economic study of the system then made it possible to assess the profitability of the project. It emerges from this study that at 25 m above the ground the Weibull shape parameter is estimated at 2.94 and the scale parameter at 6.07 m/s. The most frequent speed is estimated at 5 m/s and the one giving the maximum energy at 10.2 m/s. The micro-power plant is made up of two wind turbines with a nominal power of 29.7 kW for a daily production estimated at 355 kWh, a three-phase converter rated at 30 kW, 06 inverters/chargers with a power of 11.5 kW and 120 batteries (3000Ah/2V). The selling price of kilowatt-hour estimated at 0.17 euro/kWh is quite competitive. The establishment of this micro-wind power plant is therefore an asset for these rural populations.

show abstract

“…e present salvage value of the component in the HRES is determined using the following equation [32,33]:…”

Section: Net Present Value (Npv)mentioning

confidence: 99%

Optimal Hybrid Renewable Energy System: A Comparative Study of Wind/Hydrogen/Fuel-Cell and Wind/Battery Storage

Acakpovi

Adjei

Nwulu

et al. 2020

Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

This paper performs a technoeconomic comparison of two hybrid renewable energy supplies (HRES) for a specific location in Ghana and suggests the optimal solution in terms of cost, energy generation capacity, and emissions. The two HRES considered in this paper were wind/hydrogen/fuel-cell and wind/battery storage, respectively. The necessity of this study was derived from the rise and expansion of hybrid renewable energy supply in a decentralised network. The readiness to embrace these new technologies is apparently high, but the best combination for a selected location that brings optimum benefits is not obvious and demands serious technical knowledge of their technical and economic models. In the methodology, an analytical model of energy generation by the various RE sources was first established, and data were collected about a rural-urban community in Doderkope, Ghana, to test the models. HOMER software was used to design the two hybrid systems based on the same load profiles, and results were compared. It turns out that the HRES 1 (wind/hydrogen/fuel-cell) had the lowest net present cost (NPC) and levelized cost of electricity (COE) over the project life span of 25 years. The energy reserve with the HRES 2 (wind/battery storage) was huge compared to that with the HRES 1, about 270% bigger. Furthermore, with respect to the emissions, the HRES 2 was environmentally friendlier than the HRES 1. Even though the battery storage seems to be more cost-effective than the hydrogen fuel-cell technology, the latter presents some merits regarding system capacity and emission that deserve greater attention as the world looks into more sustainable energy storage systems.

show abstract

Wind energy potential and cost estimation of wind energy conversion systems (WECSs) for electricity generation in the eight selected locations of Tigray region (Ethiopia)

Cited by 27 publications

References 27 publications

Wind turbine performance analysis for energy cost minimization

Wind turbine performance analysis for energy cost minimization

Study of the Decentralized Electrification by a Micro-Wind Power Plant: Case of Ahouandji Locality in Southern Benin

Optimal Hybrid Renewable Energy System: A Comparative Study of Wind/Hydrogen/Fuel-Cell and Wind/Battery Storage

Contact Info

Product

Resources

About