Objective
Objectives
This project aims to predict the power produced from
grid-connected wind farms by using meteorological
forecasting and to implement this prediction at
electrical utilities. The time-frame is from 0 to 36
hours ahead. This is done by extending and applying the
results of the JOULE project (``Short-term prediction of
local wind conditions'') and of two ongoing Danish
projects (JOULE 2: ``Wind Power Prediction Tool in
Central Dispatch Centres'', and EFP (Energy Research
Program): ``Using Meteorological Predictions'').
The main goal is to develop the models to such an extent
that it can be demonstrated that any utility with a
certain amount of installed wind energy capacity can use
the models with economic benefits.
A further goal is to show that these methods and
techniques developed in Europe can be used world-wide and
thereby create opportunities for the EU wind power
industry.
In the project four areas have been chosen: Denmark;
England, Scotland and Wales; Greece (Crete); and Texas in
the USA.
Technical Approach
Work will be performed by using prediction models based
on the forecast output from Numerical Weather Prediction
(NWP) models. In the present project the HIRLAM model of
the Danish Meteorological Institute will be used. This
is an operational model generating forecasts 36 hours
ahead, twice a day. The output of this model is then
made valid locally by one of two methods: a physical
model where the local effects are corrected for by the
WAsP program and the production of the wind farm is
calculated taking the shadowing of wind turbines into
account by using the PARK program. The other method is a
statistical one, where the statistical relationships
between the historical observations, the output from the
NWP model are being established and used in the
forecasting.
Expected Achievements and Exploitation
A user-friendly model that utilities (in cooperation with
meteorological institutes) can use to predict the energy
produced by wind farms with a range of up to 36 hours
ahead. The model will have been implemented and
evaluated at a number of European utilities from the
generally high wind areas of Northern Europe to the low
wind areas of the Mediterranean.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences atmospheric sciences meteorology
- engineering and technology environmental engineering energy and fuels renewable energy wind energy
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
4000 Roskilde
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.