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Wind resource mapping in the Maldives : mesoscale wind modeling report (Inglês)

The results described in this report are derived from interim output and are preliminary and unvalidated, and they have not been subjected to full peer review. DNV GL does not guarantee the accuracy of the maps, data, and visualizations presented in this report, and accepts no responsibility whatsoever for any consequence of their use. Wind speed values shown in tables and maps should not be relied upon in an absolute sense. Rather they should be strictly interpreted as indicative (e.g., elevated windiness near mountaintops and escarpments). Users are strongly urged to exercise caution when using the information and data contained within this report. During Phase 2 of this project, measurements will be collected from a number of representative sites throughout the country over a 24 month period, and these will be used in Phase 3 to develop a final, validated, peer-reviewed suite of outputs from this project, which will be made available at the project’s completion. The World Bank (the “Client”) has retained Garrad Hassan America, Inc. (“DNV GL”) to provide a validated mesoscale wind atlas for the Maldives, including associated deliverables and wind energy development training courses. A new 2-km-resolution mesoscale wind atlas has been generated by DNV GL for the entire country of the Maldives, providing a comprehensive up-to-date estimate of the potential resource. It is based on a complete 10-year simulation of the local and regional wind flows, and will serve as the foundation to a broader program of sustainable development of renewable energy in the Maldives, while dramatically increasing the awareness of the available resources within the country to both policy makers and potential investors. unique characteristic of this new 2 km resolution interim wind atlas is the availability of hourly output over the entire 10-year simulation period, which represents the full range of wind and thermal stratification conditions over the Maldives. It will allow the monthly, seasonal, yearly, and interannual variation in the wind resource to be quantified. This unprecedented level of granularity leads to more accurate results because it enables the diurnal variation of processes in the planetary boundary layer (PBL), as well as the local forcing, to be well represented and sets the benchmark for renewable energy mapping over the coming years.

Detalhes

  • Autor

    Purcell, Mark Gilbert,Trenton

  • Data do documento

    2015/07/01

  • TIpo de documento

    Documento do Programa de Assistência à Gestão do Setor de Energia (ESMAP)

  • No. do relatório

    98444

  • Nº do volume

    1

  • Total Volume(s)

    1

  • País

    Maldivas,

  • Região

    Sul da Ásia,

  • Data de divulgação

    2015/08/05

  • Disclosure Status

    Disclosed

  • Nome do documento

    Wind resource mapping in the Maldives : mesoscale wind modeling report

  • Palavras-chave

    global land data assimilation system;wind speed;wind resource;energy production;cost of energy production;aerodynamic roughness length;wind energy map;energy loss factor;wind energy application;temporal consistency;average wind speed;monte carlo method;issue date;stock exchange listing;planetary boundary layer;satellite observing systems;sea surface temperature;wind energy development;wind resource assessment;renewable energy industry;snow water equivalent;land surface conditions;global land cover;digital elevation model;renewable energy penetration;flow of air;land area;wind flow;index value;study area;sea level;land use;physical process;standard deviation;small island;written agreement;wind map;high resolution;power curve;surface wind;spatial variation;peak load;energy output;linear trend;variability index;water bodies;subject matter;seasonal variation;inhabited islands;weather forecast;soil moisture;subsequent section;territorial water;quantitative analysis;minimal impact;general agreement;international agency;simulation approach;clear skies;geographical coverage;farm finance;climate statistics;generator capacity;software package;rotor diameter;capacity factor;kinetic energy;weighted average;buffer zone;verification process;energy generation;central regions;skin temperature;vegetation type;geological survey;administrative boundary;land-use category;spatial distribution;energy policies;sea floor;land mass;equatorial zone;global initiative;water point;dense vegetation;energy content;electrical efficiency;farm development;air density;resource estimate;local capacity;valuable knowledge;carbon neutrality;Energy Sector;aviation fuel;sea transport;fishing fleet;dry condition;dominant fuel;food preparation;rough sea;wet season;climate model;analysis technique;grid use;terrain following;absolute sense;potential investor;thermal stratification;subsidiary right;energy strategies;Power Generation;open source;distributed generation;Wind Power;time sery;source code;trade mark;geographical variation;energy forecast;substantial variation;regional variation;

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