Eight sites in Fiji have been collecting long-term wind data with mast heights varying from 10 to 48 metres (m). Ideal wind energy measurements are made at a minimum of 30 m, although 50 m is preferred. Future wind measurement installations are to be all at 50 m. So far, measurements near the grid indicate that Fiji’s wind speeds offer marginal benefits for energy generation compared to the FEA’s historical generation costs. Some sites should be cost-effective for wind power installations given the FEA’s marginal costs for investments in new diesel generators.
- PIGGAREP financed wind resources monitoring underway for Upolu and Savaii and resource assessment undertaken for Upolu.
- EPC is conducting an ongoing assessment of Samoa’s wind energy potential. Masts for 10 metre and 30 metre measurements were installed at the Afuilo hydro site and at Aleipata on the coast.
The Pacific Islands Forum Secretariat’s wind and solar monitoring project is the main long-term data source for Rarotonga wind energy and is used to estimate wind regimes of other islands. At Ngatangila Point, Rarotonga, wind data recovery was 100% during two years of monitoring. The annual average wind speed was 5.5 m/s. The highest hourly and daily averages were 17.7 m/s and 14.0 m/s respectively.
FSM solar data is available for download from the IRENA Global Atlas for Renewable Energy at the following links below:
The PNG wind dataset is extracted from the 3TIER Global Wind Dataset, IRENA Global Atlas for Renewable Energy.
3TIER Global Wind Dataset can be downloaded from this link: https://irena.masdar.ac.ae/?map=324
Wind demonstration on Guam wind speeds. Data were collected from January 1982 through February 1983 at Bubulao, Guam.
Details of various solar installation in Niue. Captures the estimated annual kWh, percentage of total daytime electricity production, type of funding and funding source.
NPC load data on a typical weekday, and weekends. Data provided by Herb Wade, sourced from the Niue Power Corporation.
Samoa resource data (including solar), taken via drones in Upolu (Aleipata coast & Afulilo mountain).
Dataset captures 2008 - 2012 monthly solar production data for the Nauru College installation by the REP5 Project (EDF 9).
Dataset captures 2008 - 2012 monthly solar production data for the Nauru College installation by the REP5 Project (EDF 9).
- Report 1 - Feasibility of Resources and Sites for Waste-to-Energy Power Generation in Fiji.
- Report 2 - Waste to Energy Resource Assessment in Fiji.
Energy Resource Inventory of Fiji:
- Solar energy source
- Hydro energy source
- Wind energy source
- Biomass energy source
Captures total generation (kWh) from the solar installation at the Funafuti Sports Ground in Tuvalu from 2008 - 2013. Data is captured monthly and quarterly on a yearly basis.
Captures aircraft fuel consumption data from 2013 - 2014 for Tuvalu. Data is sourced directly from the aviation fuel supplier by the Tuvalu Department of Energy (DOE) and provided to SPC. Dataset captures the monthly number of refuels of the aircraft in Tuvalu, the fuel consumption (litres) and the total number of flights in the month.
Solomon Islands copra, palm oil and cocoa production and export by annual basis and destination from 2005 - 2015. Data sourced from the Commodities Export Marketing Authority (CEMA) in Honiara. Dataset captures the volume production (Megatonnes) of these 3 products quarterly & annually and destination of export.
South Pacific Oil Company (SPOil) annual volume fuel import & sales by end-used sectors for 2013 & 2014 (retail, rural, logging, power, commercial, marine, aviation). Marine sector is comprised of fishing vessels, local & overseas boats. Fuel to provinces shipped in drums and logging camps are bunkered in barges. SPOil is the only supplier of aviation fuel in the Solomon Islands.
Trade Report for March Quarter 2015, published by the Solomon Islands Statistics Office on a quarterly basis. Report only comprised of financial information , no volume data. Remaining reports will need to be requested via email to the Statistics Office as the reports on the website are not regularly updated.
Data table on Pacific Utilities key characteristics, obtained via PPA benchmarking exercise. Data is extracted from PPA 2012 report, published in 2015. Key characteristics captured here are:
- peak demand,
- percentage of IPP,
- household with connections,
- outer islands serviced,
- renewable energy percentage to grid and
- ownership status (private or public owned).
Data tables of generation & distribution, SAIDI & SAIFI key performance indicators (KPIs) obtained via PPA benchmarking exercise. Data is extracted from PPA 2012 report, published in 2015. Reports are also available within this portal. The dataset has been verified with the data table in the report.