Assessment of wind-generation potentiality in Jordan using the site effectiveness approach

Ammari, Handri

doi:10.1016/s0360-5442(03)00152-x

Cited by 19 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We took the roughness height to be 0.20 m for the sites considered in this study since this was the value employed by Ammari and Al-Maaitah, (2003) for the Desert of Jordan to which the Negev is contiguous. The resulting statistical wind power production data from a WWD-1 unit at Mitzpe Ramon and Arad (chosen because they are the two sites in the Negev Radiation Survey (Faiman et al, 2007) with the highest average annual wind speeds) are given in Table 2.…”

Section: Simulating the Electrical Output Of A Wind Turbinementioning

confidence: 99%

Grid matching of large-scale wind energy conversion systems, alone and in tandem with large-scale photovoltaic systems: An Israeli case study

Solomon¹,

Faiman

Meron

2010

Energy Policy

View full text Add to dashboard Cite

Section: Simulating the Electrical Output Of A Wind Turbinementioning

confidence: 99%

Grid matching of large-scale wind energy conversion systems, alone and in tandem with large-scale photovoltaic systems: An Israeli case study

Solomon¹,

Faiman

Meron

2010

Energy Policy

View full text Add to dashboard Cite

“…Many data which indicate wind availability and its potentials for electricity generation in Jordan are available in the literature (e.g. Hammad 1995, Mohsen and Akash 1998, Habali et al 2001, Ammari and Al-Maaitah 2003, Hrayshat 2005, 2007. Figure 3 shows an example of the mean yearly variation of the recorded wind speed data from 1990 to 2001 at the Queira station in the southeast of Jordan, while Figure 4 shows the mean monthly Table 1.…”

Section: Comparison Between Roto-dynamic and Piston Wind-driven Pumpsmentioning

confidence: 99%

A theoretical study of the performance of wind-driven pumps under Jordanian climatic conditions

AlQdah

Badran

Al‐Salaymeh

2011

International Journal of Sustainable Energy

View full text Add to dashboard Cite

The utilization of renewable energy resources such as wind energy has increased recently due to the rising concern regarding global warming and the associated impact upon climate change, the increasingly rapid depletion of fossil fuel resources and the desire to maximize security of fuel supply. This study deals with autonomous wind pump applications for remote areas in Jordan. The performance of roto-dynamic wind-driven pumps under normal operating conditions has been estimated based on the mathematical model proposed by Mathew and Pandey for the integrated output of wind-driven roto-dynamic pumps. The effects of the specific speed and specific diameter ratios and the gear ratio on the size of the pump selected have been investigated. Specifications and the performance of piston pumps have also been investigated under the same conditions for comparison purposes. It is clear that the roto-dynamic wind-driven pumps offer better performance than the piston pumps.

show abstract

“…Wind assessment techniques are used to create wind maps on a local scale and micrositing of wind turbines, estimate vertical wind speed variations and long-term wind resource at a given site [4]. These techniques made it possible to conduct wind assessment studies all over the world like Qatar [5] and Nigeria [6], a few sites in Jordan [7] and Kuwait [8], a wind atlas of Quebec, Canada [9], offshore California [10], the Red Sea coast and in Egypt [11].…”

Section: Introductionmentioning

confidence: 99%

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

2011

View full text Add to dashboard Cite

a b s t r a c tWind energy has become a major competitor of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, wind with reasonable speed is not adequately sustainable everywhere to build an economical wind farm. The potential site has to be thoroughly investigated at least with respect to wind speed profile and air density. Wind speed increases with height, thus an increase of the height of turbine rotor leads to more generated power. Therefore, it is imperative to have a precise knowledge of wind speed profiles in order to assess the potential for a wind farm site. This paper proposes a clustering algorithm based neuro-fuzzy method to find wind speed profile up to height of 100 m based on knowledge of wind speed at heights 10, 20, 30, 40 m. The model estimated wind speed at 40 m based on measured data at 10, 20, and 30 m has 3% mean absolute percent error when compared with measured wind speed at height 40 m. This close agreement between estimated and measured wind speed at 40 m indicates the viability of the proposed method. The comparison with the 1/7th law and experimental wind shear method further proofs the suitability of the proposed method for generating wind speed profile based on knowledge of wind speed at lower heights.

show abstract

Assessment of wind-generation potentiality in Jordan using the site effectiveness approach

Cited by 19 publications

References 9 publications

Grid matching of large-scale wind energy conversion systems, alone and in tandem with large-scale photovoltaic systems: An Israeli case study

Grid matching of large-scale wind energy conversion systems, alone and in tandem with large-scale photovoltaic systems: An Israeli case study

A theoretical study of the performance of wind-driven pumps under Jordanian climatic conditions

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

Contact Info

Product

Resources

About