Gau is one of the many rugged, volcanic Islands in Fiji .Averaged 10 minutely wind speed and direction data of Vadravadra settlement was supplied by Fiji Department of Energy (DoE) and the site wind characterizing was done. Considering the surface roughness, obstacle condition and terrain information of the island, a micro-scale prediction has been done using the Wind Atlas Analysis and Application Program (WAsP) to develop an annual wind atlas and also a wind resource map which shows that at 50m height, the annual wind speed over Southern Gau varies from 8.42 to 14.69 m/s. The Southern Eastern sides of Gau appear to be promising for wind electricity generation using Vergnet 275 kW wind turbines where wind power density at a height of 50m or higher is found to be around 1128 W/m 2 (average) annually. The total energy produced from using eight Vergnet 275 kW turbine generators was 13.320 GWh and the COE borne was $0.55/kWh.
Using the data provided by Fiji's ministry of health and medical services, we apply an implicit time-discrete SIR (susceptible people–infectious people–removed people) model that tracks the transmission and recovering rate at time, t to predict the trend of the coronavirus disease 2019 (COVID-19) pandemic in Fiji. The model implied time-varying transmission and recovery rates were calculated from 4 May 2021 to 9 October 2021. The estimator functions for these rates were determined, and a short-term (30 days) forecast was done. The model was validated with observed values of the active and recovered cases from 11 October 2021 to 9 December 2021. Statistical results reveal a good fit of profiles between model simulated and the reported COVID-19 data. The gradual decrease of the time-varying basic reproduction number with values below one towards the end of the study period suggest the government's success in controlling the epidemic. The mean reproduction number for the second wave of COVID-19 in Fiji was estimated as 2.7818. The results from this study can be used by researchers, the Fijian government, and the relevant health policy makers in making informed decisions should a third COVID-19 wave occur.
Vegetable oils and their spinoff biofuels, unremarkably named as "biodiesel," are prominent candidates as alternative diesel fuels. Twelve different blends of CNO, Ethanol and Butanol hybrid biofuel were tested for engine efficiency and it is discovered that they are technically competitive with or provide technical benefits compared to conventional diesel fuel. Besides being a renewable and domestic resource, biodiesel reduces most emissions while engine performance and fuel economy are nearly identical compared to conventional fuels. A comprehensive study of Fiji's coconut industry is also undertaken.
The fuelwood characteristics of ten different tree species have been investigated. The species investigated were Mango (Mangifera Indica) ,Tamarind (Tamarindus Indica), Raintree (Samanea Saman),Javaplum/ Jamun (Syzygium Jambolanum),Margosa / Neem (Azadirachta Indica),Lemon tree (Citrus Limonia),Pine tree (Pinus Caribaea)Black Mangrove / Tiri-tiri (Bruguieria Gymnohiza),Guava (Psidium Guajava),and Australian Pine / Jhau (Casuarinaceae Casuarina Equisetifolia L.). The properties examined were their moisture content and how it varied over a period of 'drying time', calorific value and its dependency on the moisture content, and their emissions and efficiency when burnt in a miniature rocket stove.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.