Estimation of Electricity Generation in Libya Using Processing Technology of Wind Available Data: The Case study in Derna

Ahwide, Farag; Spena, A; El-Kafrawy, Aly

doi:10.1016/j.apcbee.2013.05.078

Cited by 18 publications

(12 citation statements)

References 3 publications

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“…With regards to wind energy, the average wind speed at a 40 m height is in the range of 6-7.5 m/s. One of several suitable locations along the Libyan coast is at the city of Dernah, where average wind speed is around 7.5 m/s [31]. However, Libya is exposed to dry and hot winds that blow several times during the year [15].…”

Section: Research Backgroundmentioning

confidence: 99%

A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

et al. 2018

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Rapid increases in energy demand and international drive to reduce carbon emissions from fossil fuels have led many oil-rich countries to diversify their energy portfolio and resources. Libya is one of these countries, and it has recently become interested in utilizing its renewable-energy resources in order to reduce financial and energy dependency on oil reserves. This paper introduces an original multicriteria decision-making Pairwise-CODAS model in which the modification of the CODAS method was made using Linguistic Neutrosophic Numbers (LNN). The paper also suggests a new LNN Pairwise (LNN PW) model for determining the weight coefficients of the criteria developed by the authors. By integrating these models with linguistic neutrosophic numbers, it was shown that it is possible to a significant extent to eliminate subjective qualitative assessments and assumptions by decision makers in complex decision-making conditions. The LNN PW-CODAS model was tested and validated in a case study of the selection of optimal Power-Generation Technology (PGT) in Libya. Testing of the model showed that the proposed model based on linguistic neutrosophic numbers provides objective expert evaluation by eliminating subjective assessments when determining the numerical values of criteria. A sensitivity analysis of the LNN PW-CODAS model, carried out through 68 scenarios of changes in the weight coefficients, showed a high degree of stability of the solutions obtained in the ranking of the alternatives. The results were validated by comparison with LNN extensions of four multicriteria decision-making models.

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Section: Research Backgroundmentioning

confidence: 99%

A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

et al. 2018

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“…These studies agreed on the possibility of producing a large amount of wind power in this region [29,40].…”

Section: Wind Powermentioning

confidence: 49%

“…Data collected and used in previous studies confirms that the city of Derna, on the northeast coast of Libya, has a relatively high average wind speed of around 8 m/s. These studies agreed on the possibility of producing a large amount of wind power in this region [29,40].…”

Section: Wind Data Analysismentioning

confidence: 49%

“…This area was chosen for exploring the renewable energy and hydrogen production opportunities in Libya, as there are gaps in the data for other areas and, there are already some renewable energy projects in this area, especially in the city of Derna, and therefore some useful generation and consumption data is available [40,51]. The aim of this research is to develop a flexible model that can work with any region once the required data is available.…”

Section: Energy Demand In Libyamentioning

confidence: 99%

“…where, P is power (kW), C P is the power coefficient of the wind turbine; V is the average wind speed (m/s), A is the blades' swept area (m 2 ) and ρ is the air density 1.225 kg m −3 [40], β is the blade pitch angle, n is the turbine RPM, D is the turbine rotor diameter. The wind turbine operation is limited by its power curve, which is unique to each model.…”

Section: Calculating Potential Wind Powermentioning

confidence: 99%

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Dispatchable Hydrogen Production at the Forecourt for Electricity Demand Shaping

Rahil

Gammon

2017

Sustainability

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Environmental issues and concerns about depletion of fossil fuels have driven rapid growth in the generation of renewable energy (RE) and its use in electricity grids. Similarly, the need for an alternative to hydrocarbon fuels means that the number of fuel cell vehicles is also expected to increase. The ability of electricity networks to balance supply and demand is greatly affected by the variable, intermittent output of RE generators; however, this could be relieved using energy storage and demand-side response (DSR) techniques. One option would be production of hydrogen by electrolysis powered from wind and solar sources. The use of tariff structures would provide an incentive to operate electrolysers as dispatchable loads. The aim of this paper is to compare the cost of hydrogen production by electrolysis at garage forecourts in Libya, for both dispatchable and continuous operation, without interruption of fuel supply to vehicles. The coastal city of Derna was chosen as a case study, with the renewable energy being produced via a wind turbine farm. Wind speed was analysed in order to determine a suitable turbine, then the capacity was calculated to estimate how many turbines would be needed to meet demand. Finally, the excess power was calculated, based on the discrepancy between supply and demand. The study looked at a hydrogen refueling station in both dispatchable and continuous operation, using an optimisation algorithm. The following three scenarios were considered to determine whether the cost of electrolytic hydrogen could be reduced by a lower off-peak electricity price. These scenarios are: Standard Continuous, in which the electrolyser operates continuously on a standard tariff of 12 p/kWh; Off-peak Only, in which the electrolyser operates only during off-peak periods at the lower price of 5 p/kWh; and 2-Tier Continuous, in which the electrolyser operates continuously on a low tariff at off-peak times and a high tariff at other times. The results indicate that Scenario 2 produced the cheapest electricity at £2.90 per kg of hydrogen, followed by Scenario 3 at £3.80 per kg, and the most expensive was Scenario 1 at £6.90 per kg.

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Reducing uncertainty accumulation in wind-integrated electrical grid

Hung

Chong

Chan

2017

Energy

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Estimation of Electricity Generation in Libya Using Processing Technology of Wind Available Data: The Case study in Derna

Cited by 18 publications

References 3 publications

A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

Dispatchable Hydrogen Production at the Forecourt for Electricity Demand Shaping

Reducing uncertainty accumulation in wind-integrated electrical grid

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