Based on the identification diagram and our assumptions on how a W&MF
system like this could be realized in the North Sea, Lagerveld et al. (2014) elaborated on the following physical concepts:
• Wind & Mussel Farm outline
• Operation and Wind farm clusters, including auxiliary systems
• Auxiliary systems
• Mussel farm clusters
• Transport system
• Operation & Maintenance management system
• Economic input parameters
Here, we describe the Operations and Maintenance management system. It is
assumed that a large-scale offshore wind and mussel farm should be managed and
controlled with an integrated information and communication system. For that
reason, the newest AMC concept in the field is adopted for this case (Van Leersum
et al. 2010). This system is an integrated monitoring and control system over the
value chain, called DOWES (Dutch Offshore Wind Energy System). DOWES is
designed for managing optimal system performance.
Based on the physical representation of the virtual Wind & Mussel Farm case,
system configuration figures are determined (see Appendix D in Lagerveld et al.
2014).
In this study an existing AMC model (Stavenuiter 2002) is expanded/elaborated,
including the entities physical components, process activities and time periods
(years). In order to perform the simulation runs the model has to meet the following
requirements:
• the whole W&MF can be adapted by parameter settings (for long-term
maintenance)
• benefits can be viewed by different parameters/key performance indicators
• different settings in O&M plans (maintenance strategies) are possible
• fluctuations in business, technical and economic parameters can be taken into
account
• financial and technical balance sheets should be available per year
• price elasticity, or price changes in general, can be analyzed
• main results, such as revenues, system cost-effectiveness, market value, return
on investment, over the exploitation phase, can be presented in charts
A synergy factor is introduced to model the synergy effects of combining wind
and mussel farming. It is expressed as a percentage, which indicates the extent to
which the O&M cost of the wind farm can be reduced by more efficient use of
labor, transport and equipment. For example: if the O&M cost of a wind farm is set
at 100%, and it will be 95% if it is combined with a mussel farm, then the synergy
factor, as defined, is 5%.
For offshore-aquaculture the location is the most important criterion for a successful combination with offshore wind (Lagerveld et al. 2014). Previous studies
108
C. Röckmann et al.
system like this could be realized in the North Sea, Lagerveld et al. (2014) elaborated on the following physical concepts:
• Wind & Mussel Farm outline
• Operation and Wind farm clusters, including auxiliary systems
• Auxiliary systems
• Mussel farm clusters
• Transport system
• Operation & Maintenance management system
• Economic input parameters
Here, we describe the Operations and Maintenance management system. It is
assumed that a large-scale offshore wind and mussel farm should be managed and
controlled with an integrated information and communication system. For that
reason, the newest AMC concept in the field is adopted for this case (Van Leersum
et al. 2010). This system is an integrated monitoring and control system over the
value chain, called DOWES (Dutch Offshore Wind Energy System). DOWES is
designed for managing optimal system performance.
Based on the physical representation of the virtual Wind & Mussel Farm case,
system configuration figures are determined (see Appendix D in Lagerveld et al.
2014).
In this study an existing AMC model (Stavenuiter 2002) is expanded/elaborated,
including the entities physical components, process activities and time periods
(years). In order to perform the simulation runs the model has to meet the following
requirements:
• the whole W&MF can be adapted by parameter settings (for long-term
maintenance)
• benefits can be viewed by different parameters/key performance indicators
• different settings in O&M plans (maintenance strategies) are possible
• fluctuations in business, technical and economic parameters can be taken into
account
• financial and technical balance sheets should be available per year
• price elasticity, or price changes in general, can be analyzed
• main results, such as revenues, system cost-effectiveness, market value, return
on investment, over the exploitation phase, can be presented in charts
A synergy factor is introduced to model the synergy effects of combining wind
and mussel farming. It is expressed as a percentage, which indicates the extent to
which the O&M cost of the wind farm can be reduced by more efficient use of
labor, transport and equipment. For example: if the O&M cost of a wind farm is set
at 100%, and it will be 95% if it is combined with a mussel farm, then the synergy
factor, as defined, is 5%.
For offshore-aquaculture the location is the most important criterion for a successful combination with offshore wind (Lagerveld et al. 2014). Previous studies
108
C. Röckmann et al.