Examining wind quality and wind power prospects on Fiji Islands

Kumar, Ajal; Prasad, Shivneel

doi:10.1016/j.renene.2009.07.021

Cited by 47 publications

(35 citation statements)

References 3 publications

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“…Winds in Fiji are predominantly easterlies 33 , suggesting that sediment dispersion might vary on the two coasts. Therefore we re-fitted the model allowing unique dispersion parameters for southern and northern coasts.…”

Section: Methodsmentioning

confidence: 99%

Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

Brown

Jupiter

Albert

et al. 2017

Preprint

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24Coastal ecosystems can be degraded by poor water quality. Tracing the causes of poor water 25 quality back to land-use change is necessary to target catchment management for coastal zone 26 management. However, existing models for tracing the sources of pollution require extensive 27 data-sets which are not available for many of the world's coral reef regions that may have 28 severe water quality issues. Here we develop a hierarchical Bayesian model that uses freely 29 available satellite data to infer the connection between land-uses in catchments and water 30 clarity in coastal oceans. We apply the model to estimate the influence of land-use change on 31 water clarity in Fiji. We tested the model's predictions against underwater surveys, finding 32 that predictions of poor water quality are consistent with observations of high siltation and 33 low coverage of sediment-sensitive coral genera. The model thus provides a means to link 34 land-use change to declines in coastal water quality. 35 36

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Section: Methodsmentioning

confidence: 99%

Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

Brown

Jupiter

Albert

et al. 2017

Preprint

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“…Kumar and Prasad (2010) also found that the annual average wind speed is 6.5 ms À1 at 50 m a.g.l in Fiji. This shows that Fiji has potential for power generation from wind.…”

Section: Windmentioning

confidence: 78%

Climate Change in the Asia-Pacific Region

Filho¹

2015

Climate Change Management

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“…Therefore, inspecting the AEP map reveals that, the site has a promising wind resources available that could be utilized for electricity generation. According to [27,28] , if the wind farm is normal to the wind direction than the distance between each wind turbine is four times the diameter of the rotor. Thus, the horizontal distance between turbines is 128 m (D = 32 m for vergnet wind turbine); However, a 50 m concession is allowed on both ends to avoid any naturally occurring obstacles that may affect the turbine's performance.…”

Section: Resultsmentioning

confidence: 99%

Technical and economic prospect of wind energy at Lapaha, Tonga

Kumar

Tausinga

Kishore

et al. 2020

Resour Environ Econ

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The wind at 50 m above ground level (a.g.l) was measured for 22 months. The mean wind speed predicted by Wind Atlas Analysis and Application Program (WAsP) at Lapaha was 6.39 m/s and the power density were 279 W/m 2 . The prevailing wind direction at Lapaha site was East and Southeast direction with a low turbulence. The WAsP wind map indicated that Lapaha has a good wind potential for power production. A wind farm consisting of four Vergnet 275 kW wind turbines at Lapaha site is expected to pay itself back in 9 years with a Benefit to Cost Ratio (BCR) of 1.74, a Levelized Cost of Energy (LCoE) in Tongan Pa'anga (TOP) of 0.10/kWh compared to TOP 0.86/kWh presently charged to domestic consumers. The expected internal rate of return (IRR) would be 50% and with a life time of 25 years. The expected cost saved from the wind farm is TOP 1.3 million per year, which is equivalent to 1.3 million liters of diesel saved, resulting in 535 tons less CO 2 emitted annually. The proposed wind farm is expected to decrease diesel consumption by 20% annually.

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Examining wind quality and wind power prospects on Fiji Islands

Cited by 47 publications

References 3 publications

Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

Climate Change in the Asia-Pacific Region

Technical and economic prospect of wind energy at Lapaha, Tonga

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