International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 6
Number 4
December 2012
1 INTRODUCTION
After a huge wave of interest in the construction of
wind farms on land increasing interest in the
construction of offshore wind farms, motivates many
European countries, including Poland, to changes in
the law, allowing it to such investments at sea
(offshore industry). Already in the nineties of the
last century began to be interested in siting offshore
wind farms. Denmark, the United Kingdom, the
Scandinavian countries and the United States have
developed a long-term project, which aimed to
analyze wind on the sea, finding a suitable location
for a farm, explore the depth of water, the formation
of the seabed, the routes of shipping, etc.
2 OFFSHORE WIND
The potential of offshore wind is enormous. It could
meet Europe’s energy demand seven times over, and
the United States’ energy demand four times over
[8].
Offshore wind is a relatively new technology, so
costs will reduce and the technology will advance,
helping offshore wind to be more efficient and cost
competitive in the near term. But this exciting
technology is already being incorporated into
government’s energy planning around the world.
More than 90% of the world’s offshore wind
power is currently installed off northern Europe, in
the North, Baltic and Irish Seas, and the English
Channel. Most of the rest is in two ‘demonstration’
projects off China’s east coast.
Offshore wind is an essential component of
Europe’s binding target to source 20% of final
energy consumption from renewables, and China has
set itself a target of 30 GW of installations off its
coast by 2020. The United States has excellent wind
resources offshore, and many projects are under
development, but there is no offshore wind power
installed yet.
The key benefits of offshore wind are:
The wind resource offshore is generally much
greater, thus generating more energy from fewer
turbines;
Most of the world’s largest cities are located near
a coastline. Offshore wind is suitable for large
Some Problems of the Offshore Wind Farms
in Poland
A. Weintrit, T. Neumann & K. Formela
Gdynia Maritime University, Gdynia, Poland
ABSTRACT: This paper presents the problems of wind power in Europe and the world, including the concept
of the first location of offshore wind farms off the coast of Poland. Taking into account regulatory restrictions
and technical opportunities, we can identify, evaluate and select prospective offshore wind farm locations.
Obvious concerns are the depth to the sea bottom, the distance from coastline, maritime traffic and geological
and climatic conditions.
459
scale development near the major demand
centers, avoiding the need for long transmission
lines;
Building wind farms offshore makes sense in
very densely populated coastal regions with high
property values, because high property values
makes onshore development is expensive
sometimes leads to public opposition.
Figure 1. Example of an offshore wind farm [9]
Although offshore wind is often the most talked
about part of the wind sector, today it represents less
than 2% of global installed capacity. 2011
installations of about 1,000 MW represented ~2.5%
of the annual market. Some projections show that by
2020, offshore wind will be about 10% of global
installed capacity [8].
Figure 2. Global cumulative instaled wind capacity 1996-
2011 [8]
The European Union has passed the milestone of
100 gigawatt (GW) of installed wind power
capacity, according to the European Wind Energy
Association (EWEA).
Figure 3. Graph showing progression of European wind energy
(EWEA) [7]
100 GW of wind power can generate electricity
over a year to meet the total consumption of 57
million households, equivalent to the power
production of 39 nuclear power plants. It took the
European wind energy sector some twenty years to
get the first 10 GW grid connected. It only needed
13 years to add an additional 90 GW. Half of the
total European wind power capacity has been
installed over the past six years.
Recent wind turbine installations contributing to
the 100 GW milestone include [7]:
Anholt offshore wind farm, 400 MW developed
by DONG off the coast of Denmark;
Linowo, 48 MW developed by EDF Energies
Nouvelles Polska in Poland;
Ausumgaard, 12 MW developed by a private
landowner in Denmark (West Jutland);
Akoumia, 7.2 MW developed by Greek power
company PPCR on the island of Crete.
100 GW of wind power can produce the same
amount of electricity over a year as [7]:
62 coal power plants, or
39 nuclear power plants, or
52 gas power plants.
To produce the same amount of electricity as 100
GW of wind turbines in a year you would have to:
mine, transport and burn 72 million tonnes of
coal, at a cost of €4,983 million, and emit 219.5
Mt of CO2, or
extract, transport and burn 42.4 million cubic
meters of gas, at a cost of €7,537 million, and
emit 97.8 Mt of CO2.
460
2.1 Wind Turbine
A wind turbine is a device that converts kinetic
energy from the wind, also called wind energy, into
mechanical energy; a process known as wind power.
If the mechanical energy is used to produce
electricity, the device may be called wind turbine or
wind power plant. If the mechanical energy is used
to drive machinery, such as for grinding grain or
pumping water, the device is called a windmill or
wind pump. Similarly, it may be called wind charger
when it is used to charge batteries.
The result of over a millennium of windmill
development and modern engineering, today's wind
turbines are manufactured in a wide range of vertical
and horizontal axis types. The smallest turbines are
used for applications such as battery charging or
auxiliary power on boats; while large grid-connected
arrays of turbines are becoming an increasingly
important source of wind power-produced
commercial electricity.
2.2 Wind Farm
A wind farm is a group of wind turbines in the same
location used to produce electric power. A large
wind farm may consist of several hundred individual
wind turbines, and cover an extended area of
hundreds of square miles, but the land between the
turbines may be used for agricultural or other
purposes. A wind farm may also be located offshore.
As of February 2012, the Fântânele-Cogealac
Wind Farm in Romania is the largest onshore wind
farm in the world at 600 MW. Many of the largest
operational onshore wind farms are located in the
USA and China. The Gansu Wind Farm in China
has over 5,000 MW installed with a goal of 20,000
MW by 2020. China has several other "wind power
bases" of similar size. The Alta Wind Energy Center
in California is the largest onshore wind farm
outside of China, with a capacity of 1020 MW of
power. As of February 2012, the Walney Wind Farm
in United Kingdom is the largest offshore wind farm
in the world at 367 MW, followed by Thanet
Offshore Wind Project (300 MW), also in the UK.
There are many large wind farms under
construction and these include Anholt Offshore
Wind Farm (400 MW), BARD Offshore 1 (400
MW), Clyde Wind Farm (350 MW), Greater
Gabbard wind farm (500 MW), Lincs Wind Farm
(270 MW), London Array (1000 MW), Lower Snake
River Wind Project (343 MW), Macarthur Wind
Farm (420 MW), Shepherds Flat Wind Farm (845
MW), and Sheringham Shoal (317 MW) [7],[8],[10].
3 SOME PROBLEMS IN LOCATION OF
OFFSHORE WIND FARMS IN POLAND
Taking into account regulatory restrictions and
technical opportunities, we can identify, evaluate
and select prospective offshore wind farm locations.
Obvious concerns are the depth to the sea bottom,
the distance from coastline, maritime traffic and
geological and climatic conditions.
Table 1. Geographic coordinates determining the position of
area B of offshore wind farms
___________________________________________________
WP No. Latitude Longitude
[00°00'00,0''] [00°00'00,0'']
___________________________________________________
1 55°06'20,78482'' N 018°01'53,28243'' E
2 55°06'24,52209'' N 018°03'20,54312'' E
3 55°05'58,79118'' N 018°04'06,49727'' E
4 55°05'31,88721'' N 018°05'00,24074'' E
5 55°05'04,10440'' N 018°05'37,71270'' E
6 55°04'38,36006'' N 018°06'23,61878'' E
7 55°04'21,46395'' N 018°07'03,29189'' E
8 55°03'54,30525'' N 018°08'30,93288'' E
9 55°03'41,37938'' N 018°09'19,60427'' E
10 55°02'27,08108'' N 018°09'19,54662'' E
11 55°02'10,61884'' N 018°01'53,40538'' E
___________________________________________________
Table 2. Geographic coordinates determining the position of
area C of offshore wind farms
___________________________________________________
WP No. Latitude Longitude
[
00°00'00,0''] [00°00'00,0'']
___________________________________________________
1 55°05'19,23601'' N 017°46'35,24897'' E
2 55°05'35,40626'' N 017°49'19,54800'' E
3 55°05'45,97360'' N 017°51'12,92083'' E
4 55°06'01,65557'' N 017°54'07,58456'' E
5 55°06'11,34555'' N 017°56'01,35240'' E
6 55°06'15,59407'' N 017°58'58,04276'' E
7 55°06'18,65590'' N 018°01'03,57448'' E
8 55°06'20,76941'' N 018°01'52,92250'' E
9 55°02'10,61866'' N 018°01'53,04538'' E
10 55°02'06,00000'' N 018°00'00,36000'' E
11 55°03'38,54832'' N 018°00'00,36000'' E
___________________________________________________
The proposed sample location of offshore wind
farms (based on a decision of the Polish Ministry of
Transport, Construction and Maritime Economy
MTBiGM
1
) is described by the coordinates given in
Table 1
2
and 2
3
. The first table contains data for the
area B (B-Wind Company Poland), next for the area
C (C-Wind Company Poland). Geographical
coordinates have been plotted on electronic chart of
northern coast of Poland using Transas Navi-Sailor
1
Decision No. MFW/7/12. Minister of Transport, Construction and
Maritime Economy. Warsaw, 9 May 2012.
2
Zespół Morskich Farm Wiatrowych (MFW) o maksymalnej łącznej
mocy 200 MW oraz infrastruktura techniczna, pomiarowo-
badawcza i serwisowa związana z etapem przygotowawczym,
realizacyjnym i eksploatacyjnym. B-WIND Polska Sp. z o.o. [1]
3
Zespół Morskich Farm Wiatrowych (MFW) o maksymalnej łącznej
mocy 200 MW oraz infrastruktura techniczna, pomiarowo-
badawcza i serwisowa związana z etapem przygotowawczym,
realizacyjnym i eksploatacyjnym. C-WIND Polska Sp. z o.o. [2]
461
4000 ECDIS simulator system, located in the
Department of Navigation of Gdynia Maritime
University. Wind Farm Areas are located at a
distance of approximately 12 nautical miles north
from the Polish coast as shown on Figure 4. West
part of Area B is bordering east part of C Area.
Figure 4. Location of areas B and C of offshore wind farms.
Chart scale 1:600 000
The areas considered for future development like
installation and operation of offshore wind farms lies
on the route of the Stena ferry passenger service
between the ports of Gdynia and Karlskrona. Using
electronic chart application, an exemplary route
(Route01), with 166.8 Nm long passing through the
area for future investments has been created. The
planned ships route is shown in Figure 5 and
following as a continuous line.
Figure 5. B and C offshore wind farms areas with marked
routine route Gdynia-Karlskrona ferry. Chart scale 1:100 000
In the next step two alternative routes (Route02
and Route03) have been created in order to pass
development areas at minimum required distance not
less than 1 Nm, respectively north and south. Length
comparison of the existing routine and alternative
routes are given in Table 3.
Table 3. Length comparison of the routine and alternative
routes
___________________________________________________
Gdynia-Karlskrona Route Length Length Difference
[Mm] [%]
___________________________________________________
Route01 166,84 0,00%
Route02 167,03 0,11%
Route03 167,45 0,37%
___________________________________________________
Differences in the length of the routine and
proposed alternative routes by-passing planned
offshore wind farm areas are 0.19 Nm and 0.61 Nm
respectively, which is less than 0.5% of total length
of the route. It can be said that the route extension of
a vessel sailing o Gdynia - Karlskrona caused by
avoiding the areas B and C is negligible and can be
omitted.
Figure 6. Karlskrona Gdynia route and alternative route
(north option). Chart scale 1:750 000 (upper part) and
1:200 000 (lower part)
462
Figure 7. Karlskrona Gdynia route and alternative route
(south option). Chart scale 1:750 000 (upper part) and
1:200 000 (lower part)
It should be noted that the extension of route
length is not the only problem to navigation, which
faces a ship trying to avoid an not navigable area. To
carry out a complete risk assessment on
development areas requires to take under
consideration all risks which may arise i.e.
organization and ship traffic, navigational
obstructions, the influence of hydro-meteorological
conditions, etc. The proposed investments of
offshore wind farm areas construction off the coast
of Polish will require the shipping route adjustments.
Location of a optimal number of wind turbines on
the wind farm on dedicated area will probably cause
a lot of problems.
4 COMPUTER APPLICATION SEEKING
DISTRIBUTION OF WIND POWER
STATIONS ON A DESIGNATED MARINE
AREA
Based on in-depth study of incoming data, decisions
are made about the wind farm concentration and
optimisation, the production capacity, the cable
routing and subsea crossings, the offshore grid
concentration, the selection of wind turbines.
The computer program for the distribution of
location of offshore wind power stations has been
developed for the Windows operating system in
Delphi Environment. The essence of the program is
to find the best possible distribution of the points in
such a way that compliance with a number of
limitations. The basics are:
the minimum distance between two locations.
The assumption in the original version
permanently set at 1000 m was carried out as an
option to choose from a defined range of values
from 500 m to 1500 m
the arrangement of wind power station.
Implemented two default construction of grids:
quadratic grid
triangular grid
The margin area. The application assumes
constant margin 500 m in size, in which it is
impossible to wind the station location. The use
of margin space is an option when looking for a
solution.
Figure 8. Iterative algorithm calculating the most favorable
distribution of wind power station
463
To find a solution of the problem of indicating the
location of wind power station to the given number
of them was as large as possible an iterative
algorithm proposed, whose scheme is shown in
Figure 8.
In this algorithm, network nodes, which can be
the location of wind power station, is moved in
increments of 10 m until they reach the position of
all the nodes of their successors. For each
configuration, the node value is computed inside an
area, having established margin and its absence. In
each iteration remembered the achieved result. If
there is a better than previously stored, the current
solution as the best is remembered. If the number of
nodes is equal to the best known value, the current
solution is added to a set of best solutions. Result of
the implementation of the algorithm is a set of
equivalent solutions, which achieved the highest
number of nodes in the search area.
Figure 9. View of window program used for locating wind
power stations in the C area (before and after the searching
task)
Activity of the application is shown in a certain,
irregular sea area, the shape was shown in Figure 9.
outer edges of the area. Constitute a restriction on
the outer edges of the area, the inner edges are
extended 500 m in an internal area in which
according to the restrictions.
The first stage of the calculation is to estimate the
number of nodes for the proposed grid by default.
The default grid is generated independently of the
defined area. For this proposed grid solutions are
sought in accordance with the algorithm presented a
better solution, moving the entire grid of 10 m to the
first node in the near future, a square area with sides
equal to the minimum distance that can be reached
from each other grid nodes (in this example, this
distance is 1000 m).
Figure 9 shows the result in which the solution
contains 54 default nodes throughout the considered
grid size and 34 nodes in the area with a margin.
As a result of the search obtained 217 equivalent
solutions, each of which complies with the
aforementioned assumptions, the number of possible
locations in the area with a margin increased to 38
nodes.
Presented application has been tested on a set
area in Figure 9. At a certain fixed distance set at
1000 m analyzed area 300 nodes placed at 500 m -
1,176 nodes and 1,500 meters - 136 nodes. The
maximum computation time is satisfactory and
amounted to 2.5 seconds.
It is necessary to further the development of
applications on adding new functionality. It seems
important to implement other solve the search for a
better solution. The authors want to look at
algorithms to solve knapsack problem [3], namely
the cutting stock problem. The use of these
algorithms will allow to increase the number of
nodes in a given area at the expense of introducing
confusion in the structure of the grid. Knowledge on
how to increase the number of wind power stations
can be useful in decision-making on the
implementation of the project.
5 CONCLUSIONS
This paper presents the problems of wind power in
Europe and the world, including the concept of the
first location of offshore wind farms off the coast of
Poland. Currently, the role of wind energy in the
Polish energy balance is small, but the situation is
gradually changing. Polish territory is dominated by
wind calm zones. The best wind conditions
prevailing in Poland on the Baltic Sea, near Suwałki
and the Carpathian mountains. Polish ‘wind basin’ is
the coastal belt around Darłowo and Puck.
464
Unfortunately, the Polish potential development
of offshore wind energy will not be used if there is
no support from the government. In 2011, came into
force the amended law on marine areas, to facilitate
the construction of offshore wind farms. So the rules
are, but for now, unfortunately, will not see the
development of the energy sector. It would be afraid
that if there is no clear policy statement that offshore
energy is something important for the country,
although there are investors and Polish companies
could be financial benefits to the state without the
government support the offshore wind energy in
Poland will not develop.
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