8b OPTIMIZE
8b.1 Introduction .......................................................................................................................................... 2
8b.1.1 Noise Curtailment vs. Layout Curtailment ............................................................................. 2
8b.1.2 The GUI tree-structure ........................................................................................................... 2
8b.1.3 Presentation of results ........................................................................................................... 9
8b.1.4 Storing results ...................................................................................................................... 11
8b.2 Optimization decisions ...................................................................................................................... 12
8b.2.1 The noise model .................................................................................................................. 12
8b.2.2 Noise receptors .................................................................................................................... 13
8b.2.3 Wind resource model ........................................................................................................... 13
8b.2.4 Strategy decisions ............................................................................................................... 14
8b.3 Optimization algorithm ...................................................................................................................... 15
8b.3.1 Noise curtailment optimization algorithm ............................................................................. 15
8b.3.2 Turbine shutdowns .............................................................................................................. 15
8b.3.3 Operation mode curtailment ................................................................................................ 15
8b.4 References .......................................................................................................................................... 15
Introduction 2
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8b.1 Introduction
Wind farms must comply with noise regulations, and two approaches are being used to ensure compliant noise
immission levels at noise receptors emitted by wind turbines: control the turbine position (Cao et al. 2020) or
control the turbine operation modes (Nyborg et al. 2023). When wind turbines are already installed or the planned
positions are decided upon, the remaining option is, therefore, curtailing the operation modes of the turbines.
The curtailment of wind turbine modes comes with reduced noise emission but also reduced energy production
(Steurer et al. 2017). The purpose of noise curtailment optimization in the context of wind farm planning is to
satisfy acoustic constraints while maximizing the usual benefits, e.g., energy production or profit.
The Noise Curtailment Optimizer (NCO) adds such functionality to the Optimizer module in windPRO to the
Layout Optimizer. The objective of the NCO is to suggest a curtailment strategy for wind farms to comply with
noise receptor thresholds around the wind farm with the lowest production loss possible.If noise curtailment is
insufficient to comply with defined noise regulations, the tool can also propose to shut turbines down for specific
conditions as a last resort.
The NCO facility in windPRO was developed as part of the Decowind project, supported by the Danish Innovation
Fund.
8b.1.1 Noise Curtailment vs. Layout Curtailment
The Noise Curtailment Optimizer is designed to resemble the Layout optimizer, and a lot of the structure of the
optimizer will look and feel similar. In both cases the objective is to maximize production output of a wind farm,
but the degrees of freedom are different. The Layout Optimizer reaches its objective by moving the turbines
within a set of constraints, while the NCO does the same through changing the operation mode on the turbines.
The constraints of the NCO are controlled by the noise code it must comply with and the possibilities the turbine
type offers. For these reasons, the GUI must diverge from that of the Layout Optimizer as described in the
following. The result of the NCO is not a new layout but a Noise Matrix database for each turbine.
8b.1.2 The GUI tree-structure
The GUI of the Noise Curtailment Optimizer uses a tree structure like that of the Layout Optimizer with three
levels: Site, Layout and Strategy (Figure 1).
Figure 1: The three hierarchy levels of the GUI tree: Site, Layout, and Strategy.
When the NCO is opened for the first time, a first Site will be available and set with default settings for the country
of the project.The optimizer allows creating several sites, the site can contain several layouts and a layout can
have several strategies. Each hierarchy level can be expanded or collapsed and if highlighted, the options for
the level become visible to the right.
New levels can be added, deleted or copied. Sites can be cloned by right-clicking on the Site level:
Introduction 3
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Figure 2: Option to expand, collapse and clone sites.
There are some restrictions to the upper levels in the structure once lower levels have been added. These
restrictions can be lifted if the lower levels are removed. It is for example not possible to change the noise model
once a Strategy has been added but removing all strategies reenables noise model changes.
8b.1.2.1 Site
The Site is the fundamental scenario. In principle, the Site will include all the basic conditions of the location and
would, ideally not need to be changed when testing different options. There may be a need or an interest in
changing fundamental conditions, such as the selection of noise receptors, parameters in the noise model or
details in the wind model. For such variations, separate sites can be made. Selecting a Site in the left column
enables the Setup & Run field on the right.
Figure 3: On the Site level, three components of the optimization are selected: the noise receptors, the noise
model, and the wind resource.
Noise receptors: On the Noise tab, the relevant receptors are selected by pointing out the layer in which the
receptors are located. As default all receptors in a layer are selected, but by removing the check in Use all
objects from selected layers, specific objects can be pointed out.
Introduction 4
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Figure 4: Noise model configuration.
It is important that the noise receptors selected match the noise model used, see section 8b.2.2.
Noise model: The NCO gives access to both Decibel and NORD2000 from the Noise tab. To access either
requires a license for the module. The Noise model selection box provides quick access to one of the preset
models in either Decibel or NORD2000. The Edit model parameters button gives access to view or modify the
parameters in the noise model. DECIBEL and NORD2000 are described in detail in section 6 of the windPRO
Environmental manual. The model parameter details are also described in section 6 with additional information
in section 8b.2.1 where the optimizer provides additional or reduced options.
If a model needs to be customized, it is recommended to select the ISO 9613-2 General model from DECIBEL
or General from NORD2000.
Introduction 5
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Figure 5: Noise regulation specification selection.
Wind resource model: On the Energy tab, the wind resource model is selected. The wind resource model is
used to calculate the production loss inflicted by curtailments. The wind resource model can be based on time
series data or a wind resource map. A wind resource map is a precalculated map for the area that provides
Weibull parameters and direction frequencies in each grid cell. Wind resource maps are described in detail in
section 3 of the manual. For the NCO a wind resource map in either .rsf, .wrg or .siteres format can be used. It
is required that it covers the location of all wind turbines in the calculation as well as any reference points (for
the Wind speed inside Wind farm model). A very easy and simple access to a wind resource map is the GASP
data which are freely available world-wide from windPRO. A wind resource map can be used if the only two
dimensions used in the optimization are wind speed and wind direction.
Figure 6: Resource and wake model specification.
The Time series option sets up a time domain model as described in the Chapter 3 Energy. This includes a
Scaler and a time series and is entirely identical to the model in the PARK module. A full description of the Scaler
and selection of time series data can be found in Chapter 3 Energy.
The time series model has the advantage, compared to a wind resource map, that it is not limited to wind speed
and direction. The time domain nature of the model means that the time dimension can be used in the
optimization, i.e. calculation of day and night curtailments. If the time series includes temperature and humidity
data, it is possible to include these dimensions as well. If these dimensions are needed, but not available in the
time series used by the Scaler, time series with those data can be pointed out separately at the bottom of the
field. As the objective is to calculate and minimize curtailment losses, precision on the absolute wind speed is
not required and downscaled mesoscale data is an easy and suitable option for a time series wind model.
Introduction 6
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Figure 7: Energy tab setup with Time series data.
Finally, a wake model has to be selected. The wind resource at each turbine is highly influenced by wake loss
and changes in operation mode changes the thrust curve of turbines and therefore also the wind resource
experienced by turbines downwind. In the present version of the NCO only the PARK2 model is available. It can
be selected with either default onshore or default offshore (low turbulence) wake decay constant.
8b.1.2.2 Layout
On the Layout level, the wind farm is selected. Several different layouts can be tested on the same site as it is
often required to try different turbine types or layout configurations.
The layout is selected by selecting the layer(s) with the wind turbines. All wind turbines selected are included in
the layout optimization. It is required that the turbines must have noise data and power curves defined as modes
in either a PowerMatrix or as a Power & Noise Pair (see Chapter 2 BASIS). Existing turbines can also be included
in the optimization. If they are not to be curtailed, simply edit the Existing WTG object to use a fixed noise mode
and power curve instead of using PowerMatrix or a Power & Noise pairing.
By default, all wind turbines in a layer are selected, but a more specific selection can be made by removing the
hatching from Use all objects from selected layers and picking the turbines from the list below.
Introduction 7
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Figure 8: Selecting the WTGs to be considered in the curtailment optimizer.
8b.1.2.3 Strategy
The strategy window displays which dimensions are available for optimization, containing single or sets of
curtailment strategies, where each strategy is a plan for how you want to run your optimization.
It is a requirement that the binning file allows for the dimensions. This is set in the Noise Matrix Analyzer, a
description of defining the binning file be found in the manual section 2
It is also necessary for the model to calculate along a range of values in order to perform an optimization. If, for
example, the noise model is set up with fixed time period (or none at all), it is not possible to include the time
component in the optimization. In that case, the Time bin will then be greyed out. However, it is possible to
calculate along a range of wind speeds, but not optimize along wind speed dimension. In that case, the optimizer
determines the specific single noise mode for each turbine that will comply for all wind speeds in the range.
Introduction 8
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Figure 9: Defining the bins of the considered variables that can have an effect on the noise propagation.
Check the dimensions along which the optimization should be done (Figure 9): In each bin line are listed the
binning of each dimension. This information is taken from the binning file. It can be changed at this point and
that will override the binning file. It is recommended to use the same binning as in the noise model, but it is not
a requirement. If the turbine being optimized allows for a less granular binning than what needs to be tested, it
can be inserted here. In case the bins are not matching, the test must comply everywhere inside the optimization
bin.
The time binning setup has its own entry (Figure 10). If the time dimension is used, it should match the binning
in the noise model. It must be ensured that the time periods are correct. The curtailment losses are calculated
according to the period definition, but Penalty and Days per year are not used information. It is possible to set
the time binning as default if you know you will always use the same time periods. The Reset to default button
reverts the settings to that of the binning file but will respect your new time default.
Figure 10: The time binning specification. It is possible to include more than two periods.
Clicking on a dimension line triggers a bar at the bottom of the window. These are the bins that are considered
in the optimization. For these bins the optimal strategies will be calculated and saved in the curtailment matrix.
The dots inside the bins are the values that are tested in the noise model. In the above example, the first bin on
wind speed is from 5.5 m/s to 6.5 m/s and the last bin is from 11.5 m/s to 12.5 m/s.
For the wind speed dimension, it is possible to use open or closed bins (Figure 11). The open status means that
for any wind speed below the lowest wind speed optimized, the settings for the lowest optimized wind speed will
be used. Correspondingly, for any wind speed above the highest wind speed, the modes for the highest wind
speed optimized will be used. In the above example, for wind speeds higher than 12.5 m/s, the noise mode
settings of 12 m/s bin will be repeated. The open bin status does not result in extra lines being written in the
curtailment database, but a flag is set to repeat the information outside the optimized interval. Checking the Use
closed bins for wind speed box means that no curtailment is done outside the optimized interval. Essentially, as
there is no noise threshold at those wind speeds, the turbines do not need to comply with noise regulations.
Introduction 9
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Figure 11: Curtailment bin setup with closed wind speed bins.
Please note that the wind speeds being displayed are the wind speeds from the noise model. These may be
converted to hub height wind speed for the noise curtailment matrix.
It is possible to set a max runtime, but it is generally not recommended. An optimization stopped before it is done
may not comply with the noise thresholds. However, if the calculation is suspected to be very long, it can be
used as an emergency stop.
Create & queue strategy will start the optimization immediately. Create & park will leave the optimization parked,
to be run as a batch run later. More details and considerations about strategy can be found in section 8b.2.4.
8b.1.3 Presentation of results
When a strategy is started, the NCO will run through the algorithm described in section 8b.3 to find in each bin
the operation mode that will comply with noise threshold with the minimal loss of yield. A counter indicates the
optimization progress.
The outcome of the optimization can either be an for failed or a ” for done. A failed calculation does not
deliver a result but will tell you through an error message what when wrong. Usually, it would be an inconsistency
between noise model requirements and noise receptor settings (e.g. no low frequency thresholds in the receptor
when the noise model is set to calculate low frequency noise. The resulting strategy line can be unfolded and
will then list all the wind turbines in the optimization. Each turbine curtailment plan can be inspected by clicking
on it (Figure 12).
Introduction 10
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Figure 12: Resulting strategies after the NCO is completed.
The Setup & Run pane can display two dimensions at the time. In the above example, wind directions are in the
columns and wind speed is in the rows. If additional dimensions are included in the optimization, they can be
displayed instead. If time is an active dimension, View period can be used to select which period to display.
The colors correspond to the operation modes of the wind turbine and the upper left corner in each bin group
will display the name of the operation mode. In the example above (Figure 12), brown bins indicate the operation
mode “Noise Mode 2”.
If a bin contains sub-bins in different dimensions (e.g. temperature), the label will indicate the most restrictive
mode among the sub-bins and it will also decide the color. This view is consistent with the presentation in
DECIBEL and NORD2000 curtailment presentations with the exception that the range of modes is not displayed
here. If the strategy used open bins, this is remarked for the highest and lowest wind speed used. These will be
the modes the turbine will operate in at higher and lower wind speed (Figure 12).
If the strategy used closed bins, an extra wind speed bin is added above and below highest and lowest wind
speed with unreduced operation mode (example in Figure 13).
Figure 13: Resulting strategies with closed bins.
Introduction 11
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Figure 14: Result overview of energy production losses per WTG.
The curtailment loss is presented in an overview when clicking on a curtailment strategy (Figure 14). The AEP
losses are shown in MWh, together with the losses expressed in percent. The loss is relative to the production
of the default (highest) operation mode, according to the defined wind model.
At bottom of the page are placed two export user options, Write curtailment strategy to WTGs and Create noise
calculation based on strategy (Figure 15).
Figure 15: Steps to proceed with a selected strategy: Create noise calculation and write curtailment strategy.
Write curtailment strategy to WTGs will write the curtailment databases to the WTG object. Only when this button
has been pressed can the strategy be used outside the optimizer (e.g in PARK). If there already exists a
curtailment database for any of the turbines, this will be overwritten with a warning.
Create noise calculation based on strategy will create a DECIBEL or a NORD2000 calculation identical to the
settings used in the optimizer. This means the same noise model, the same wind turbines and the same noise
receptors. To use the optimized curtailment strategy in the DECIBEL or NORD2000 calculation, please
remember to click on the Write curtailment strategy to WTGs button first.
The DECIBEL or NORD2000 calculation just created needs to be run before it can be printed or results from it
saved. A noise calculation created in this manner will not have noise maps selected, but they can be added by
opening the calculation properties. Please note that noise maps based on very granular optimizations can be
slow to calculate and it is possible to get a lot of maps if all possible situations must be presented.
8b.1.4 Storing results
When the NCO is closed, the work done is saved, but results are only exported to the rest of windPRO when the
export buttons are pressed in the results presentation, see section 8b.1.3. The NCO thereby functions as a self-
contained laboratory for finding the best operational strategy for the wind farm. The NCO may hold many different
curtailment strategies for the same wind farm, although only one of these may be saved to the same turbine at
the time.
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8b.2 Optimization decisions
8b.2.1 The noise model
Selection of a suitable noise model is key to a successful noise optimization. The principle for the noise models
in windPRO is that of a sandbox. While some of the models are rigid or even based on customized components
to comply with noise codes in specific countries, other models have some degree of flexibility. For both the
DECIBEL model, with the ISO 9613-2 and for the NORD2000 model it is possible to go all in on flexibility and
design your own noise model.
These noise models are described in detail in Chapter 6 Environment. In some places, however, the noise model
selection in the Noise Curtailment optimizer (NCO) differs from the setup in the DECIBEL and NORD2000
calculation.
8b.2.1.1 Wind speed options
Whereas the Wind speed inside wind farm (Wiw) model in DECIBEL and NORD2000 are limited to use a
predefined wind resource map, it is possible to link to the wind model used to calculate the losses in the
optimization. If a resource map is used as wind model Wiw will simply use the same resource map. If the wind
model is a time series model, a customized wind resource map (.rsf) is calculated for the specific points in the
Wiw calculation (Figure 16). The selected wind resource map is exported through to the DECIBEL or NORD2000
export calculation. This approach ensures consistency and limits the number of wind models required for the
calculations.
Figure 16: Wind speed options.
8b.2.1.2 Frequency options
The A-C weighing test is not included in the optimizer. It is simply a test for the NORD2000 calculation and a
failure in this test has no consequences for the calculation.
8b.2.1.3 Wind direction options
If the optimizer is set to calculate noise propagation by wind direction, it is possible to select either a customized
set of wind directions or link to the curtailment matrix. The difference may seem insignificant as the default
curtailment matrix is identical with the default direction setup, but the idea is to create link to the optimization
strategy setup, so the tests are done in the same bins as are optimized. The reverse is possible as well, tests
for compliance can be done independently of the optimization strategy. For example, a strategy may only be
allowed with 60˚ bins, but the compliance check must be made with 30˚ bins. In that case 12 sectors are selected
in the noise mode, but only 6 sectors in the strategy.
The All receptors downwind of all wind turbines option provides some interesting possibilities. As the noise model
will only test for noise compliance in wind directions downwind from the turbines, it is possible to reduce noise
only in those directions. When the wind direction is at an angle from the down wind direction to the tested
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receptor, there may be no test or a more relaxed test on the turbine as the critical receptor in the new down wind
direction has a less critical threshold. In this manner the turbine may actually make more noise at the receptor if
in a cross wind.
8b.2.1.4 Air absorption options
The air absorption calculation makes use of two parameters that can be used in optimization: Temperature and
relative humidity. These parameters will only be used in an optimization if the option Calculate entire matrix is
selected. The binning is then set up in the strategy. Using the Range ofoption will only test the range of values
for compliance.
8b.2.1.5 Time domain options
The Fixed / no time dimension option means that the optimization will only test according to a single time period
or that time is just not a parameter. If receptors have more than one time period defined, it will be the indicated
period that is used for the optimization, while the other periods are ignored.
Checking Calculate full matrix resolution means that each of the time periods defined in the Time binning setup
is optimized. The optimizer will expect to find the same periods defined in the receptors. If only one period is
defined in the receptor, that threshold will be used for all time periods and the result will be the same. If there is
more than one period defined in the receptor and the optimization number of periods is different, an error
message is triggered.
The L
den
metric cannot be used in optimizations. It does not appear in the General / ISO-9613-2 General options
and the models that use L
den
are removed from the model list. This includes Dutch 2011, Norwegian 2012 and
Norwegian worst case.
8b.2.1.6 Noise reflections
Noise reflections are not included in the noise optimization.
8b.2.2 Noise receptors
In the context of the noise curtailment optimization the primary concern is that the receptors match the noise
model, which is the same concern in a DECIBEL or NORD2000 calculation. Mismatching may result in wrong
results or error messages. An optimization that considers ambient noise expects to find ambient noise values in
the receptors. A low frequency spectrum optimization expects to find a threshold spectrum in the receptors
covering the same frequencies. As long as country specific models are being used, you are reasonably safe
against such mismatches, but the sandbox nature of the general calculations means that in theory anything can
be tested against anything and often that just does not make sense.
As the easiest way to select noise receptors is by selecting a layer with receptors, it is recommended to group
receptors with changes in setting in separate layers. Swedish broadband receptors in one layer and a copy with
Swedish low frequency receptors in a second layer etc.
Noise receptors are described in more detail in section 5 of the manual.
8b.2.3 Wind resource model
As the objective of the optimizer is to minimize the production loss from the curtailments, the optimizer needs a
fast and reliable way to assess the production output in each iteration of the optimization. The concern is not to
find the correct absolute production but to arrive at a relative production difference that will be true, also when
the production is assessed in a PARK calculation.
For an optimization with only wind speed and/or wind direction as optimization dimensions, a wind resource map
is a fast and adequate means of assessing the relative production loss. A wind resource map can be produced
elsewhere and not necessarily by the acoustic consultants and in many cases a GASP map will be adequate
enough. GASP is available to all windPRO users. To use a wind resource map in the optimizer does not require
license to any energy modules except PARK and OPTIMIZE, nor does it require WAsP, though either or both
may be required to calculate a custom resource map.
If time, temperature and/or humidity are included as optimization parameters, the wind resource map is not
enough to calculate the losses. This is where the time series calculation must be used. If the project already
includes a time domain wind model, this can simply be reused here. The concept of Scaler and selection of time
series is identical to that used by the rest of windPRO. This means that the concerns about limiting the effective
Optimization decisions 14
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time series to the concurrent part of those time series selected also applies here, but as the concern is relative
wind speed, the potential bias from such limitations is less of a problem. The time series model may require
WAsP if WAsP is selected in the scaler. However, there is no need for other windPRO energy modules than
PARK to run the time series wind model in the NCO.
It is the same relaxation of the requirements that explains that only the PARK2 model can be selected with just
two wake decay constant settings. The wake model is needed as a change of the operation mode changes the
Ct curve and thereby the wake loss on adjacent turbines. This is the reason some turbines may actually generate
more energy when other turbines are curtailed. The precision of the model is, however, not a priority.
The Wind speed inside wind farm model in the noise model can be linked to the wind resource model so only a
single model is needed. This will also ensure consistency.
8b.2.4 Strategy decisions
The strategy is a core element of the optimization because it is here you tell the optimizer how you want to
optimize your operation. It distinguishes between what is tested and what is optimized. A test means that the
noise model will test for compliance and an optimization means that the wind farm will be curtailed in order to
comply with the tests.
Often there is a good match between the two. You test specific bins, and you curtail the same bins. In some
dimensions, a fixed value is used and so there is no optimization along that bin. But there is a fundamental
difference between tests and bins in that a test is done for a specific value and an optimization is done for a bin
of a certain range. Sometimes the test is done for the center value but is easy to imagine several tests within a
bin (that all have to comply) or bins without a test.
The bar in the strategy view demonstrates this (Figure 17). In the example below there is a test for every 1 m/s
from 6 to 12 m/s. However, the turbine can only be optimized in 2 m/s intervals and that means that there will be
two tests in each optimization bin except for the last bin.
Figure 17: Binning setup decision.
If the noise model uses wind speed as hub height wind speed and all turbines experience the same wind speed
at the same time (uniform wind speed), the turbines may be curtailed in the bins listed. Again, in the above
example, the turbines may be curtailed in the wind speed bin from 5.5 m/s to 7.5 m/s and the next three intervals.
As this display shows the wind speeds of the noise model, the translation to what happens at the turbine becomes
a lot more complicated if the wind speed in the wind farm is not uniform and / or if the wind speed is at 10 m
height. In that case, the test wind speeds, and the curtailment bins are translated to the hub height wind speed
of every single turbine and the resulting bins may look different from the strategy view
Optimization algorithm 15
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This conversion of wind speed may lead to bins without tests. Here, the NCO distinguishes between untested
bins inside the tested range and outside the tested range. Inside the tested range, it is assumed that the turbine
cannot run unrestrained just because it is not tested. In this case, the most restrained neighboring bin must be
adopted. Outside the tested range the question is settled with the concept of open or closed intervals. Open
intervals mean that the turbines must operate in the operation mode(s) of the closest wind speed tested. Closed
intervals mean that outside the tested range, there are no restrictions and the turbine is set free. In the strategy
view, this is indicated in the bar and in the curtailment results as a label on the lowest and highest wind speed
(for open intervals) and a bookending bin with uncurtailed operation (closed intervals).
Often, the wind model is set up to calculate noise at a fixed wind speed or an unspecified wind speed, such as
“Highest noise value” or “95% rated power”. In those cases, wind speed cannot be a dimension, even if the
binning file allows it. The operation mode must be valid for all wind speeds, even if only a special case is tested.
In the presentation of the curtailments, wind speed is then replaced by a non-wind speed line. The same principle
applies for the other dimensions. Fixed values on the parameter means it cannot be an optimization dimension.
8b.3 Optimization algorithm
In contrast to using meta-heuristics to search for optimal strategies, the windPRO noise curtailment optimizer
reduces the number of solution evaluations by following a deterministic greedy approach based on relative
contributions of WTGs to exceedance levels at noise receptors. This approach limits the number of computations
and reduces computation times but can possibly lead to local optima.
8b.3.1 Noise curtailment optimization algorithm
If the highest turbine operation modes lead to noise compliance violations, a strategy is derived for each binned
variable and saved in a curtailment strategy matrix. The strategy is computed following a procedure that first
identifies whether turbines must be shut down, and then produces a curtailment strategy for all WTGs that are
not shut down.
8b.3.2 Turbine shutdowns
To check whether turbines must be shut down completely, all turbines are set to the lowest turbine operation
mode and a noise compliance check is performed. While the noise exceeds the allowed noise levels, the turbine
with the highest contribution to NSA noise levels is shut down until the park compliance is achieved. Afterwards,
all turbine operation modes are reset to the highest operation mode. If the noise compliance for the park with
the removed turbines still exceeds permittable noise levels, the operation modes are optimized in the next step.
8b.3.3 Operation mode curtailment
The operation mode curtailment algorithm is a greedy approach. While the noise levels exceed permitted noise
levels, the following sub-procedure is: First, the receptor with the highest exceeded is identified. Then, a metric
is computed for each turbine that quantifies the relation of produced power per noise exceedance. The turbines
are sorted reversely according to that metric, and the turbine with the worst relative power per noise contribution
gets downregulated into the next mode. This loop is continued until the noise constraints are not violated any
longer for the current bin.
8b.4 References
[1] Cao, Jiu Fa; Zhu, Wei Jun; Shen, Wen Zhong; Sørensen, Jens Nørkær; Sun, Zhen Ye (2020): Optimizing
wind energy conversion efficiency with respect to noise: A study on multi-criteria wind farm layout design. In
Renewable Energy 159, pp. 468485. DOI: 10.1016/j.renene.2020.05.084.
[2] Nyborg, Camilla Marie; Fischer, Andreas; Réthoré, Pierre-Elouan; Feng, Ju (2023): Optimization of wind
farm operation with a noise constraint. In Wind Energ. Sci. 8 (2), pp. 255276. DOI: 10.5194/wes-8-255-2023.
[3] Steurer, Martin; Fahl, Ulrich; Voß, Alfred; Deane, Paul (2017): Curtailment. In : Europe's Energy
Transition - Insights for Policy Making: Elsevier, pp. 97104