The potential of electricity generation on the east coast of Red Sea in Egypt

Shata, A.S. Ahmed; Hanitsch, R.

doi:10.1016/j.renene.2005.09.026

Cited by 71 publications

(20 citation statements)

References 25 publications

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“…The prediction system uses the Weibull distribution formula, which is the most commonly used statistical distribution formula to describe wind speed data. The described data match well with the experimental data [7]. The Weibull distribution function is expressed as Eq.…”

Section: Simulationsupporting

confidence: 78%

A study on the voltage calculation method for ESS operation plan in Hybrid Generation System

Jung¹,

Jang²

2024

RE&PQJ

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The designed hybrid generation system (HGS) not only consider the voltage condition of connection point but also do limit output profile by following the transmission system operator's directions. Therefore, when developing large-scaled system including a number of HGS, appropriate compensation strategy based on the system components and impacts should be formulized with considering inner system's characteristics. The ESS operation plan in HGS should be supported by precise voltage expectation method because the system has large physical areas: it includes almost 150m DC section. Especially, since the previous system is not considering power limiting method at the DC section which is integrated with wave generators, an appropriate ESS compensation could provide a lots of solutions such as power control and quality issue. In this paper, an active power control algorithm with expected voltage based on the DC power flow is introduced, and imposed to the simulation process that is performed on EMTDC environment. Further, the comparison with the normal control process is carried out based on the composed layout in ongoing project.

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Section: Simulationsupporting

confidence: 78%

A study on the voltage calculation method for ESS operation plan in Hybrid Generation System

Jung¹,

Jang²

2024

RE&PQJ

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“…It has installed 425 MW of wind power, including a wind farm at Zafarana, in Suez Governorate. Such wind farm has been operational since 2004 and has a capacity of 360 MW, where wind averages 9 meters/second (Shata and Hanitsch, 2006) [22]. A record summary of wind observations at some meteorological stations in Red Sea and Gulf of Suez is shown in Table 1.…”

Section: Description Of the Red Sea Governoratementioning

confidence: 99%

Spatial Modeling of Optimum Zones for Wind Farms Using Remote Sensing and Geographic Information System, Application in the Red Sea, Egypt

Effat¹

2014

JGIS

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Wind power is a safe form of renewable energy and is one of the most promising alternative energy sources. Worldwide, the wind power industry has been rapidly growing recently. It is crucial that the locating of new projects must address both environmental and social concerns. The Red Sea shoreline in Egypt provides excellent wind power potential sites for the Red Sea Governorate. In this study, appropriate zones for wind power farms were mapped using remotely sensed data and a GIS-based model namely Spatial Multi-Criteria Evaluation (SMCE). This model incorporated several criteria, two sets of factors and a set of constraints. First, resource factors included wind speed, elevation zones used to derive the wind power density. Second, economic factors included distances from urban areas, roads and power-lines. Third, land constraints were excluded from the evaluation. The land constraints set included land slope angles, shoreline, urban areas, protectorates airports and ecologically sensitive and historical areas. The Analytical Hierarchy Process was used to assign the criteria relative weights. The weighted criteria and constraints maps were combined in the MCE model. The model identified the zones with potential wind power energy. Such zones were found to exist along the northern parts of the Red Sea shoreline. Some of which are unsuitable due to their location within a sensitive ecosystem , high slopes and/or a nearby airport. By excluding such land constrains, the model identified the most appropriate zones satisfying all assigned suitability conditions for wind farms. Ideal zones amount to 706 sq. km with suitability values ranging from 83% to 100% and highly suitable zones amount to 3781 sq. km having suitability values ranging from 66% to 83%.

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“…The value of money method has been used to determine the present value of costs (PVC) of electricity produced per year. The electrical energy cost of kWh produced was estimated by dividing the present value of costs by the total energy production of the wind turbine over its life time [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Wind energy assessment for five locations in Saudi Arabia

Eltamaly

Farh

2012

Journal of Renewable and Sustainable Energy

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This paper introduces a computer program to choose the most suitable wind turbine for each site according to technical and economical assessment. The criterion for choosing the most suitable wind turbine for each site is according to which wind turbine and site give a maximum capacity factor and minimum cost of energy($/kWh). This criterion is used because the decision of matching which depends only on maximum capacity factor is not enough because capacity factor is independent of rated power of wind turbine. Therefore, two wind turbines with the same performance parameters but different rated power get the same capacity factor for the same site but it does not get the same cost of energy($/kWh). The computer program has been applied on five locations in Saudi Arabia. The five locations are Yanbou, Dhahran, Douhlom, Riyadh and Qaisumah. The wind turbine parameters such as hub height, rated power, cut-in, rated, and furling wind speeds for ten commercial wind turbines are collected. The Weibull parameters have been estimated numerically and graphically for these five locations. The values of Weibull parameters obtained graphically are similar to the numerical one. Three methods have been used for estimating the cost of energy. The results from these three methods have been compared and the suitable one for Saudi Arabia economics has been selected.

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The potential of electricity generation on the east coast of Red Sea in Egypt

Cited by 71 publications

References 25 publications

A study on the voltage calculation method for ESS operation plan in Hybrid Generation System

A study on the voltage calculation method for ESS operation plan in Hybrid Generation System

Spatial Modeling of Optimum Zones for Wind Farms Using Remote Sensing and Geographic Information System, Application in the Red Sea, Egypt

Wind energy assessment for five locations in Saudi Arabia

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