Analysis of cost estimation and wind energy evaluation using wind energy conversion systems (WECS) for electricity generation in six selected high altitude locations in Nigeria

Ohunakin, Olayinka S.; Ojolo, S.J.; Ogunsina, S. Babatunde; Dinrifo, R.R.

doi:10.1016/j.enpol.2012.05.064

Cited by 30 publications

(13 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UBP and OBP comments are given based on this, but could equally well be given for other benchmark rates. Based on similar values mentioned in the literature (Green and Vasilakos 2011;Levitt et al 2011;Gass et al 2011;Hessami et al 2011;Ohunakin et al 2012;Prässler and Schaechtele 2012;USEIA 2012), the cash outflow pessimistic and optimistic deviations from the most likely are assumed to be 25 %. These deviations are tested by use of a sensitivity analysis.…”

Section: Project Datamentioning

confidence: 99%

The financial additionality and viability of CDM projects allowing for uncertainty

Carmichael

Lea

Balatbat

2015

Environ Dev Sustain

View full text Add to dashboard Cite

Financial additionality and viability for Clean Development Mechanism (CDM) projects is commonly demonstrated through deterministic internal rate of return (IRR) benchmark analysis, supplemented with a sensitivity analysis. This method is vulnerable to assumptions on cash flows (including that from carbon credits) and is unable to differentiate grades of separation from the benchmark. This paper examines the financial additionality test and viability in the presence of cash flow uncertainty, where IRR becomes a random variable. A case example project involving wind power is exampled. It is seen that the boundaries between acceptance and rejection as a CDM project based on financial additionality and viability tests become blurred, leading to possible alternative conclusions. Comment is given on false positives and false negatives, in terms of acceptance and rejection of projects.

show abstract

Section: Project Datamentioning

confidence: 99%

The financial additionality and viability of CDM projects allowing for uncertainty

Carmichael

Lea

Balatbat

2015

Environ Dev Sustain

View full text Add to dashboard Cite

show abstract

“…A total of 17,459,215.2 MJ/day (17.439 TJ/day) is estimated as the solar energy potential in Nigeria with average solar intensity of 6898.5 MJ/m 2 /yr or 1934.5 kW h/m 2 /yr (Oyedepo, 2014). In Nigeria, the wind speed at anemometer height of 10 m ranges between 1.0 and 5.1 m/s (Ohunakin, Ojolo, Ogunsina, & Dinrifo, 2012). Generally, the local wind regimes in Nigeria can be classified into >4.0 m/s; 3.1-4.0 m/s; 2.1-3.0 m/s; and 1.0-2.0 m/s (Oyedepo, 2014).…”

Section: Introductionmentioning

confidence: 99%

Increasing household solar energy penetration through load partitioning based on quality of life: The case study of Nigeria

Ayodele

Ogunjuyigbe

2015

Sustainable Cities and Society

View full text Add to dashboard Cite

“…The possibility of generating electricity through the use of wind, in Nigeria, has been extensively reported in the open literature (Adaramola et al, 2014;Ajayi et al, 2014;Ayodele et al, 2018;Ohunakin et al, 2012;Oyedepo et al, 2012). Authors in reference (Oyedepo et al, 2012) explored wind features and its energy potential for three different locations in the South-Eastern part of Nigeria for 27 years of data at the height of 10 m. Performance of wind turbines for the generation of electric energy in the Southern zone of Nigeria was reported in (Adaramola et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Assessment of Wind Turbines in Nigeria

Okakwu¹,

Olabode²,

Alayande

et al. 2021

IJEEP

View full text Add to dashboard Cite

Wind energy potentials of some selected high altitude and coastal areas in Nigeria are assessed for possible utilization for the generation of electricity. The main aim is to provide pragmatic insight that will enhance the investment in wind energy conversion systems in an optimal manner. The data used in this present study were obtained from the Nigeria Meteorological Agency, which includes average wind speeds per day of four locations across the country, measured at the anemometer height of 10 m over a period of 11 years. With the sites classified based on their wind power densities, the capacity factor estimation value was used to select the most suitable turbine for the selected sites, and the present value cost method was employed to estimate the unit cost of energy of the turbine at various hub-heights. The results obtained from this study reveal that Jos, Kano and Ikeja are economically viable as well as having excellent wind resources integration into the grid, while P/H is viable for a standalone application. The outcome of the study provides useful information that will aid renewable energy policymakers in Nigeria for wind energy development.

show abstract

Analysis of cost estimation and wind energy evaluation using wind energy conversion systems (WECS) for electricity generation in six selected high altitude locations in Nigeria

Cited by 30 publications

References 25 publications

The financial additionality and viability of CDM projects allowing for uncertainty

The financial additionality and viability of CDM projects allowing for uncertainty

Increasing household solar energy penetration through load partitioning based on quality of life: The case study of Nigeria

Techno-Economic Assessment of Wind Turbines in Nigeria

Contact Info

Product

Resources

About