STRUCTURAL AND ECONOMIC OPTIMISATION OF BOTTOM-MOUNTED OFFSHORE WIND ENERGY CONVERTERS Overview on Final Results of the Opti-OWECS project

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STRUCTURAL AND ECONOMIC OPTIMISATION OF BOTTOM-MOUNTED OFFSHORE WIND ENERGY CONVERTERS Overview on Final Results of the Opti-OWECS project M. Kühn 1, W.A.A.M. Bierbooms 1, G.J.W. van Bussel 1 M.C. Ferguson 2, B.Göransson 3 T.T. Cockerill 4, R. Harrison 4 L.A. Harland 5, J.H. Vugts 5, R. Wiecherink 6 1 Institute for Wind Energy, Delft University of Technology Stevinweg 1, 2628 CN Delft, The Netherlands tel. +31 15 278 51 70, fax +31 15 278 53 47, e-mail: ivw@ct.tudelft.nl http://www.ct.tudelft.nl/windenergy 2 Kvaerner Oil & Gas Ltd., UK 3 Kvaerner Turbin AB, SE 4 Renewable Energy Centre, Univ. of Sunderland, UK 5 Workgroup Offshore Technology, Delft Univ. of Techn., NL 6 Energie Noord West, NL ABSTRACT A general overview is presented of the Opti-OWECS project. In several fields, support structure design, installation of the offshore wind energy converters, operation and maintenance, dynamics of the entire offshore wind energy converter, structural reliability considerations, etc., the study demonstrated new propositions which will contribute significantly to a mature offshore wind energy technology. An innovative design methodology devoted particularly to offshore wind energy conversion systems (OWECS) was developed and successfully demonstrated. The so-called integrated OWECS design approach considers the components of an offshore wind farm as parts of an entire system. The design solution is governed by overall criteria such as: levelised production costs, adaptation to the actual site conditions, dynamics of the entire system, installation effort as well as OWECS availability. Furthermore, an OWECS cost model was developed which led among other work of the project to the identification of the main cost drivers, i.e. annual mean wind speed, distance from shore, operation and maintenance aspects including wind turbine reliability and availability. A link to a database of the offshore wind energy potential in Europe facilitated the first estimate of energy cost consistent over entire regions of Northern Europe. Keywords: Off-shore, Innovative Concepts, Optimization, Cost Analyses 1. BACKGROUND Several Northern European countries have firm plans for the installation of large offshore wind farms each with rated capacities in excess of 100 megawatt, and using technology comparable to the current generation of megawatt wind turbines. For the more distant future, plans have been developed for offshore wind farms in the gigawatt range. It is quite conceivable that the installed capacity of offshore wind power plant may eventually amount to several times that installed on land. The content of this paper is based upon results produced during the European research project Structural and Economic Optimisation of Bottom-Mounted Offshore Wind Energy Converters (Opti-OWECS, JOR3-CT95-0087) lasting from January 1996 to March 1998. The particular mission of the Opti-OWECS project was to extend the state-of-the-art, to determine required methods and to demonstrate practical solutions, which significantly reduced the electricity cost. This will facilitate the commercial exploitation of true offshore sites in a medium time scale of 5 to 10 years from now. The specific objectives included: A cost estimate and comparison of offshore wind energy converters of different sizes and different design concepts. An estimate of the cost per kwh of offshore wind energy at sites in different regions of the European Union.

Development of methods for the simultaneous structural and economic optimisation of offshore wind energy converters with due considerations of the site characteristics. Specification of at least one typical design solution for a bottom-mounted offshore wind energy conversion system (OWECS). Achievements of these goals was only possible due to an international cooperation of industrial engineers and researchers from the fields of wind energy, offshore technology and power management: Institute for Wind Energy, DUT, NL Kvaerner Oil & Gas Ltd., UK Kvaerner Turbin AB, SE Renewable Energy Centre, Univ. of Sunderland, UK Workgroup Offshore Technology, DUT, NL Energie Noord West, NL (subcontractor) The following sections summarise the different volumes of the final project reports [1-6]. Finally, the conclusions and recommendations are given. During the project a particular terminology was developed and successfully used [7]. In order to avoid misunderstandings there are two conventions that must be appreciated. Firstly, the acronym OWECS (standing for Offshore Wind Energy Conversion System) and its synonym offshore wind farm describes the entire system, that is the wind turbines, the support structures, the grid connection up to the public grid and any infrastructure for operation and maintenance. Secondly, OWEC (Offshore Wind Energy Converter) is used to refer to a single unit of an offshore wind farm comprising support structure (i.e. tower and foundation) and the wind turbine (i.e. rotor and nacelle). 2. INTEGRATED DESIGN METHODOLOGY FOR OWECS A particular methodology, the so-called integrated OWECS design approach, is proposed in order to meet the challenge of cost-efficient and reliable offshore wind energy conversion systems. It is based upon the experience gained during the Opti-OWECS project to come to a symbiosis of wind energy and offshore technology. The integrated design approach considers the components of an offshore wind farm as parts of an entire system, i.e. the OWECS (Figure 1). Therefore interactions between sub-systems are considered in a complete and practical form as possible so that the design solution is governed by overall criteria such as: levelised production costs, adaptation to the actual site conditions, dynamics of the entire system, structural reliability considerations, installation and commissioning effort as well as OWECS availability. The integrated OWECS design approach is based on a methodology recently developed for large, complex civil engineering projects [8]. Design practice applied so far to the design of the first prototype installations or within other studies can broadly be categorised as a robust and traditional approach or as aerodynamic site hydrodynamics wind turbine support structure economics wind farm grid connection operation & maintenance Figure 1: Components of an Offshore Wind Energy Conversion System (OWECS). a parallel design approach. In the first case the design process is organised in two main clusters according to the parent technologies, i.e. wind energy technology (comprising wind turbine, tower, farm layout, grid connection design) and offshore technology (related to foundation, marine installation and submarine cables). The treatment is denoted as robust since conventional design solutions are used (e.g. standard wind turbine with small modifications, stiff foundation) and traditional because of the direct application of experience from the normal scope of work of the parties involved. In the latter case the OWECS design implications are indeed recognised but are considered individually in the main sub-systems as wind turbine, support structure, grid connection, etc. Thus the overall performance is limited to the sum of the separate optimisations of the subsystems. Both approaches fit the objectives of demonstration or (near) commercial plant but are not suitable to arrive at commercial, large offshore wind farms to be erected by the beginning of the new millennium. For this purpose the integrated design approach is proposed, which will be illustrated by the design process of a typical OWECS (section 5). 3. METHODS ASSISTING THE DESIGN OF OWECS The integrated treatment of an offshore wind energy conversion system requires assistance of particular methods or tools in order to account for the interactions of the subsystems and to evaluate the system with respect to overall criteria. This section describes four of such building-blocks that were developed or extended during the project. 3.1 Concept analysis and cost modelling A comprehensive analysis of the sub-system options for OWECS was carried out as preparation of the design work and the economic analysis. For instance, different generic support structure types, options for grid connection, etc. were investigated. In close cooperation with the design work a computer based cost model for the economic assessment of certain OWECS concepts was developed next. The model also allows investigation of the effect of changes in important parameters on the cost of energy from an OWECS,

including the wind speed, the support structure height, the size of the turbine, the distance from the shore, etc. Although cost modelling studies in wind energy are not new, this model has a number of novel features in relation to its predecessors. One particular point is that many of the calculations are undertaken on what could be termed a first principles basis. This means that the model reaches its cost estimates by actually making a preliminary design of an OWECS meeting parameters specified by the user, albeit in a highly simplified manner, and then costing the result. The cost model runs within the widely used Microsoft Excel spreadsheet system. A comprehensive user guide is available [6]. 3.2 Simulation of operation and maintenance Two striking differences with onshore wind farms are that the accessibility offshore is largely reduced by bad weather conditions (wave height, wind speed and visibility); furthermore the costs of an offshore operation such as transport or lifting is an order of magnitude larger than onshore. Therefore the operation and maintenance (O&M) aspects of offshore wind farms were analysed in a comprehensive way [10]. A Monte-Carlo program simulating the O&M behaviour of an offshore wind farm was developed. With the help of this code it was possible to investigate various possibilities for deployment of maintenance hardware, crews and O&M strategies. As to equipment a distinction can be made between crew transport (e.g. vessel and helicopter) and lifting equipment (e.g. modified jack-up, crane vessel and built-in lift system). Figure 2 gives one example of the application of the O&M tool. The OWECS availability is shown as function of reliability of design and accessibility of the wind turbines (area plot). A site without restriction with respect to accessibility (i.e. onshore) reaches 97% availability for a state-of-the-art design increasing up to 99% for an extremely reliable design under the assumed maintenance strategy. As weather conditions get worse availability may fall down to 53% (!) to 89% depending upon the failure rate of the turbines. OWECS availability 100% 90% 80% 70% 60% 50% 100 % (onshore) 80 % (nearshore) 60 % (offshore) OWECS accessibility State-ofthe-art 40 % (remote offshore) OWECS- Reliability Highly improved Improved Figure 2: Qualitative relation between availability and accessibility. 3.3 Optimisation of the design of a support structure using advanced offshore engineering technology In conventional design practice for offshore structures the environmental conditions are determined on the basis of independent estimates of extreme wave, extreme current and extreme wind conditions, each having a return period of e.g. 50 years. These conditions are next assumed to occur at the same time and to act in the same direction. This results in environmental design conditions and a corresponding global load condition with a very long return period and an unnecessarily conservative design. Recent advances in offshore engineering have led to a reliability based design method that takes correlations between the environmental conditions into account which allows matching of structural design with pre-defined risk criteria. Simulations have shown that significant savings are possible by application of such a structural reliability analysis, in case extreme loads are governing (i.e. for remote offshore locations). 3.4 Overall dynamics of offshore wind energy converters The dynamic properties of an offshore wind energy converter (OWEC) and its complex loading result in interactions between several sub-systems. Such aspects played a pronounced role during the Opti-OWECS project. As a matter of fact this reaped benefits by a more cost-efficient design solution, e.g. soft-soft instead of soft-stiff monopile, and more reliable design calculations, e.g. by consideration of inherent uncertainties of the environmental conditions. The former effect is demonstrated by comparing the effect of two separate models respectively one integrated model on the equivalent bending moment at the mudline of the Opti-OWECS design solution. The pure wind loading is identical in both approaches. In contrast, the combined wind and wave response of the integrated model is reduced significantly because of two particular features: Firstly, proper consideration of the aerodynamic damping obtains a lower wave response. Secondly, the partial cancellation of the wind and wave response is accounted for by considering the actual phase relation between both load components. 4. ESTIMATE OF COSTS OF OFFSHORE WIND ENERGY AT EUROPEAN SITES This section report estimates, on a consistent basis, how the electricity cost of bottom-mounted OWECS might vary at all technically feasible sites within the northern regions of the EU. 4.1 Methodology and scope In order to assess the economic potential of offshore wind energy in EU regions a link was developed between an European database of the offshore wind energy potential produced by the JOUR 0072 project [9] and the insight into cost drivers gained during Opti-OWECS. A simplified cost model, derived from a more detailed OWECS cost model (section 3.1), was implemented within a Geographical Information System (GIS). This GIS based model was used to calculate cost estimates across the waters of the Northern EU. Considerable simplifications had to be made in the calculations 4.2 Regions considered and reference OWECS. Calculations were undertaken for certain northern regions

of the European Union including the waters of Great Britain, Belgium, The Netherlands, Germany and Denmark. With the objective of comparing the potential of different types of sites and technology two distinct classes of offshore wind farms were considered. The first, comprising 100 OWEC each of 1.5 MW rated capacity was intended to represent the first large scale, commercial OWECS that will be erected at the beginning of the next century. Comparable OWECS are proposed for specific locations in Danish and Dutch waters. Sites with good wind conditions, but only a moderate depth of water and reasonable proximity to the shore are considered most suitable for this concept. The second class of wind farm employed very large, multi-megawatt OWEC with a rated capacity of 4 MW each. Again the farm consisted of 100 units. Such offshore wind farms are most suitable for more remote and exposed locations in comparison to their smaller brethren, and construction is conceived within a much longer time frame, perhaps 10 years from now. Such a development period will be required to achieve the same high level of reliability assumed in the study for both reference OWECS. 4.3 Results Cost maps for OWECS based on 4-MW class turbines are shown as an illustration for Belgian and Dutch waters (Figure 3). Energy costs are based on an economic life of 20 years with a 5% real interest rate. Any blank areas of the maps signify locations at which the reference OWECS cannot be built either because the water depth is too large for the monopile support structure (i.e. greater than 30 m), or because the location is already used for other purposes (e.g. shipping lanes, oil platforms, wildlife reserves). The results suggest that the annual mean wind speed and distance from shore are the most important parameters influencing energy cost. 5.1 Feasibility study The identification of six distinctly different reference sites in northern European waters was carried out in parallel with the investigation of sub-system concepts and of essential features of overall dynamics, operation and maintenance aspects and economics. 5.2 Conceptual design The conceptual design phase was carried out mainly in parallel with work on sub-systems and development or extension of OWECS tools (see section 3). Improved knowledge on particular OWEC aspects gained during this phase (e.g. fatigue due to dynamic response on combined wind and wave loading, very significant heave forces on gravity based support structures due to extreme waves in shallow waters) led to the consideration of three support structure concepts (lower row in Figure 4). Next, the novel cost model was used to evaluate different offshore wind farms assembled from the developed subsystem concepts for the six pre-selected sites. The economic performance together with some other criteria led to the selection of the final OWECS concept and the related site. 5.3 Structural design During the structural design phase the selected concept was further worked out and interactions between subsystems were fully considered. This integration facilitated several innovations (see also Figure 5 and Table I): An appreciably high farm availability of 96.5% offshore in relation to 98.5% when land-based was achieved by a rational approach comprising a gradual improvement of the turbine s reliability and maintainability with respect to the current onshore state-of-the-art and an innovative operation and maintenance solution. The latter included both an optimised operation and maintenance strategy and a cost-efficient treatment of the cranage problem by a permanently and quickly available self-propellered modified jack-up. Close cooperation between structural design and dynamic simulations of the OWEC facilitated a softsoft monopile design even in a demanding North Sea environment which was beneficial for the large two- Figure 3: Energy cost ranking (indicated by greyscale) for OWECS (100*1.5 MW) in Belgian and Dutch waters. PILED - BRACED MONOTOWER Installation: Lifted GBS - BRACED MONOTOWER Installation: Floated Out 5. A TYPICAL DESIGN SOLUTION FOR AN OWECS As demonstration of the integrated design approach (section 2) a practical solution is presented based upon currently available technology. GBS - LATTICE TOWER Installation: Floated Out GBS - MONO TOWER Installation: Floated Out MONOPILE Installation: Lifted or Floated Out Figure 4: Examples of support structure concepts.

bladed wind turbine and resulted in an even further cost reduction of the support structure and the installation procedure. The aerodynamic efficiency of the wind farm, the cable costs of the grid connection and the space requirement of the OWECS was balanced. Placement of the OWEC transformer in the nacelle was found optimal after consideration of wind turbine, support structure, grid connection and maintenance aspects. Table I: Main data of the design solution Dutch North Sea, 11.5 19 km west from IJmuiden Mean wind speed (60m) Water depth 8.4 m/s 14 19 m (LAT) Farm capacity 100 * 3 MW Total capital costs 372 MECU O&M cost 9 MECU / year Net energy yield 787 GWh /year 5.4 Economic performance of design solution Based upon economic parameters as usually applied by public sector utilities, i.e. 20 years loan and 5% real interest rate, the levelised production costs were estimated at 5.1 ECUct/kWh. In order to judge the economic value of the design solution the results are compared to some other recent projects and studies on offshore wind energy (Figure 6). Three groups can be distinguished. Firstly, four existing plant all employing turbines of the 500 kw class at sheltered location are given. Next, two older studies are compared, both considering 3 MW machines, and the RES study referring to 400 kw units. Finally, attention is directed to six recent studies based upon wind turbines in the megawatt class. Any economic comparison of the different studies and projects is difficult and is therefore only of more or less qualitative nature. Despite all differences some trend can be seen. Offshore wind energy likewise to wind energy on land is approaching the cost level of other energy sources. energy costs [ECUct / kwh] 18 16 14 12 10 8 Blekinge, SE 6 4 2 RES, UK UK Phase CII, UK Tuno Knob, DK Energy costs for 20 years loan, 5% discount, no inflation, recent exchange rates Scorby Sands, UK Horns Rev, DK (9.2 m/s) Vindeby, DK Lely, NL Bockstigen-Valar, SE Thyssen, DE Nearshore, NL (9 m/s) SK Power, DK Opti-OWECS, NL BMFT, DE (8.4 m/s) Opti-OWECS, NL (9 m/s) 0 1990 1992 1994 1996 1998 2000 studies projects Project reference year of study or project Figure 6: Comparison of energy costs between different studies and projects; size bubbles proportional to wind farm capacity. Integrated design approach - considering entire wind farm, - wind energy and offshore technology - selection of concept and site by overall criteria (e.g. cost model) Optimised maintenance strategy - consideration of site conditions, - adapted to wind turbine reliability, - use of modified jack-up platform Wind turbine - robust 3 MW concept, - reduced failure rates, - improved maintainability, - high availability Costs savings of wind turbine and support structure - increased rotor speed, - low hub height (dynamics, installation, maintenance) - transformer in nacelle Monopile support structure - viable for demanding North Sea (up to 20 m depth) - innovative pile - tower joint, - lower fatigue due to tapered pile Advanced dynamic analysis of entire system - soft-soft support structure, - compromise between wind and wave response, - lower weight and costs Figure 5: Innovative features of the design solution for a 300 MW offshore wind farm.

5.5 Cost breakdown and parameter study Operation and maintenance costs showed a significant contribution (23%) in the cost breakdown of the estimated energy costs. This effect resulted from an optimisation process because optimum energy costs required high OWECS availability, which could only be achieved through high O&M effort and permanently available heavy maintenance equipment. Furthermore the energy cost showed an appreciably high sensitivity with respect to the energy yield which implies a number of consequences. Firstly, excellent wind conditions are essential and great care is required in the estimate of the long term wind conditions. Secondly, only if high availability is guaranteed the potential of exposed sites can be exploited. Finally, it is economic to invest a relatively high amount of capital in order to achieve high and reliable energy output. For instance, a 30% increase in wind turbine costs corresponds only to 10% extra energy cost. strategy for both installation and operation and maintenance. Application of the OWECS guidelines of Germanischer Lloyd proved to be successful; nonetheless verification and further development should be addressed in the near future. Although very successful, the analysis approach of the overall dynamics of OWEC should be further refined and verified by measurements on offshore wind energy converters of different type and at distinct sites. 7. ACKNOWLEDGEMENT The European Commission has supported the project in the scope of the framework of the Non Nuclear Energy programme JOULE III under grant JOR3-CT95-0087. 6. CONCLUSIONS AND RECOMMENDATIONS 6.1 Main conclusions Offshore wind energy is fully viable and energy costs in the order of 5 ECUct/kWh (20 years loan, 5% real interest rate) are achievable at sites with good wind conditions and good availability. This estimate is based upon currently available technology within an innovative, integrated design approach considering the entire system. Such cost level depends to a large extent on the OWECS availability achieved. At hostile offshore sites values close to the onshore performance are possible only if the failure rate of the wind turbines is reduced by a factor of (at least) 2. Results of the comparison of energy costs in different regions confirm the huge offshore wind energy resources within the EU also reported by previous work. While the absolute values of the figures in the energy cost maps are at best tentative in nature, it is concluded that a significant proportion of these resources will be exploitable on a commercial or near-commercial basis within the near future (assuming that technical innovation within the wind energy industry continues its current rapid progress). The dynamics of an entire offshore wind energy converter (OWEC) are complex but their consideration from the outset of the design solution offers a significant potential for cost reduction especially if fatigue (whether of aerodynamic, hydrodynamic or combined origin) is governing. 8. REFERENCES 1. M. Kühn et al., Opti-OWECS Final Report Vol. 0: Executive Summary, Delft University of Technology (DUT), 1998. 2. M. Kühn et al., Opti-OWECS Final Report Vol. 1: Integrated Design Methodology for Offshore Wind Energy Conversion Systems, DUT, 1998. 3. M. Kühn (ed), Opti-OWECS Final Report Vol. 2: Methods Assisting the Design of Offshore Wind Energy Conversion Systems, DUT, 1998. 4. T.T. Cockerill et al., Opti-OWECS Final Report Vol. 3: Estimate of Costs of Offshore Wind Energy at European Sites, DUT, 1998. 5. M.C. Ferguson (ed), Opti-OWECS Final Report Vol. 4: A Typical Design Solution for an Offshore Wind Energy Conversion System, DUT, 1998. 6. T.T. Cockerill, Opti-OWECS Final Report Vol. 5: User Guide OWECS Cost Model, DUT, 1998. 7. M. Kühn, Terminology, Reference Systems and Conventions to be used within the Opti-OWECS Project, DUT, 1996. 8. H.A.J. de Ridder, Design and Construct of Complex Civil Engineering Systems: a New Approach to Organisation and Contracts, Doctoral Thesis, DUT, 1994. 9. H.G. Matthies et al., Study of Offshore Wind Energy in the EC JOULE I (JOUR 0072), Verlag Natürliche Energien, Brekendorf, Germany, 1995. 10. M. Kühn et al., Towards a Mauture Offshore Wind Energy Technology Guide-lines from the Opti- OWECS Project, Wind Energy, Issue April 1999. 6.2 Recommendations for future work Installation of large multi-megawatt OWEC remains an area of potential cost reduction and further investigations are recommended on both floating and lifted installation. The risk involved in large offshore wind farms should be reduced by improving the understanding of the offshore wind conditions and associated other met-ocean parameters in order to facilitate more reliable predictions of the energy yield, optimum design and optimum