Analysis of wind energy potential; A case study of Kocaeli University campus

Caglayan, Ipek; Tikiz, İsmet; Türkmen, Anıl Can; Celik, Cenk; Soyhan, Galina

doi:10.1016/j.fuel.2019.05.123

Cited by 6 publications

(1 citation statement)

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“…Researchers compared the performance of the two CFD software above for simulating wind flow over practical terrains [32]. Windographer is an advanced software application that quickly imports data from almost any format and automatically determines the data structure, removing the need to specify details such as time step or date format before analyzing the data [33]. This tool allows for the high-quality control and import of virtual data in each format and can also export to all common wind-flow models in the wind-power industry [34].…”

Section: B Annual Energy Productionmentioning

confidence: 99%

Offshore Wind Potential of West Central Taiwan: A Case Study

Hsu

Yeh

2021

Energies

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In this study, we present the wind distributions from a long-term offshore met mast and a novel approach based on the measure–correlate–predict (MCP) method from short-term onshore-wind-turbine data. The annual energy production (AEP) and capacity factors (CFs) of one onshore and four offshore wind-turbine generators (WTG) available on the market are evaluated on the basis of wind-distribution analysis from both the real met mast and the MCP method. Here, we also consider the power loss from a 4-month light detection and ranging (LiDAR) power-curve test on an onshore turbine to enhance the accuracy of further AEP and CF evaluations. The achieved Weibull distributions could efficiently represent the probability distribution of wind-speed variation, mean wind speed (MWS), and both the scale and shape parameters of Weibull distribution in Taiwan sites. The power-loss effect is also considered when calculating the AEPs and CFs of different WTGs. Successful offshore wind development requires (1) quick, accurate, and economical harnessing of a wind resource and (2) selection of the most suitable and efficient turbine for a specific offshore site.

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Section: B Annual Energy Productionmentioning

confidence: 99%