Chaviaropoulos, Panagiotis K.

Jensen, Peter Hjuler

Natarajan, Anand

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Dec 17, 2017Key Performance Indicators and Target Values for Multi-Megawatt Offshore TurbinesChaviaropoulos, Panagiotis K. ; Natarajan, Anand; Jensen, Peter HjulerPublication date:2014Link back to DTU OrbitCitation (APA):Chaviaropoulos, P. K., Natarajan, A., & Jensen, P. H. (2014). Key Performance Indicators and Target Values forMulti-Megawatt Offshore Turbines European Wind Energy Association (EWEA). [Sound/Visual production(digital)]. European Wind Energy Conference & Exhibition 2014, Barcelona, Spain, 10/03/2014Key Performance Indicators & Target Values for Multi-MW Offshore TurbinesTakis CHAVIAROPOULOSCRESAnand. NATARAJANDTU WIND ENERGYPeter Hjuler JENSENDTU WIND ENERGYEWEA 2014, Barcelona Introduction / Motivation• This work is done in the context of Innwind.EU whose overall objective isthe high performance innovative design of beyond state-of-the-art 10-20MW deep offshore wind turbines.• The assessment of innovation necessitates the establishment of aframework where different designs can be compared against a referenceone on the basis of suitable key performance indicators (KPIs).• These performance indicators are cost driven and evaluate the Direct effect on Levelised Cost of Electricity (LCOE) Indirect effect on downstream components (loads, weight)EWEA 2014, Barcelona The LCOE represents the sum of all costs over the lifetime of a givenwind project, discounted to the present time and levelized based onannual energy production.LCOE as a KPI for the European Industrial Initiativeࡸ࡯࢕ࡱ ൌሺC൅BOPሻ	∗	FCR	+ O&M࡭ࡱࡼ• All turbine capital costs (C )• Balance of plant incl the foundation, electrical cabling, logistics (BOP)• FCR – fraction of capital costs per year • Annualized O & M (OPEX)• Annual energy production, AEPEWEA 2014, Barcelona • The parameters needed for the LCOE calculation are:• The Table below shows the results of EWII-LCOE calculations assuming alinear reduction of the LCOE from 2010 to 2020 that reaches 20 % by 2020.LCOE Targets for 2020 (EWII)PARAMETERS ONSHORE OFFSHORECapital investment cost – CAPEX(€/kW)1 250 3 500O&M costs includinginsurance(€/kW/yr)47 106Balancing costs (€/MWh) 3 3Capacity factor (%) 25 40Project lifetime (years) 20 25Real discount rate (%) 5,39 5,39Total plant capacity (MW) 40 300Size of wind turbines (MW) 2.5 5-7EWEA 2014, Barcelona LCOE Sensitivity to CAPEX and CF• The Figure  at right is quite instructive regarding the sensitivity of LCOE to its main drivers CAPEX and CF• Calculations have been done with fixed OPEX = 106 (€/kW/yr) NOTE: One percentage unit increase of CF has similar effect to LCOE as a 100 Euro/kW CAPEX reduction   EWEA 2014, Barcelona CAPEX Split for the Reference CaseRef [6]3MW Turbine6MW Turbine6MW Turbine4 MW Turbine8 MW TurbineTurbine 1,35 1,55 1,45 - 1,60 1,26 1,55Foundation 0,96 0,84 0,74Installation 0,62 0,71 0,36Electrics 0,58Other 0,39 0,65 0,65SUM 3,51 3,46 3,30CAPEX SPLIT (M€ /MW)Roland Berger [5] Crown Estate- SITE B [7]Turbine Rotor Rotor lock 0,2357 1,00Blades 0,2220Hub 0,0137Nacelle systems Gearbox 0,1291 0,2979Generator 0,0703Rotor brake 0,0132Nacelle cover 0,0135Nacelle structure 0,0280CouplingsShaft 0,0191Yaw system 0,0125Bearings 0,0122Electrics & control Pitch system 0,0266 0,0767Variable speed syst 0,0501Tower 0,2630Other 0,1300BoP OnlyFoundation system 0,4400 1,00Offshore transportation & installation 0,3000Offshore electrical I&C 0,2600Split of Turbine & BoP CAPEX to its subcategories (5 MW HAWT) LCOE CALCULATORONSHORE WINDOFFSHORE WINDEWII EWIITotal Plant Capacity (MW) P 40,00 300,00Size of Wind Turbines (MW) Pt 2,50 5,00Turbines Cost (€/kW) Ct 900 1.500BoP Cost (€/kW) Cb 350 2.000Capital Investment Cost (€/kW) C 1.250 3.500O&M Costs (€/kW/y) O&MF 47 106O&M Costs [incl. fixed annual costs, (€/MWh)] O&M 21,46 30,25Balancing Costs (€/MWh) BC 3,00 3,00Project Lifetime (y) N 20 25Capacity Factor (%) Cf 0,25 0,40Nominal Discount Rate (%) dn 0,07 0,07Inflation Rate (%) i 0,02 0,02Real Discount Rate (%) d 0,0539 0,0539Capital Recovery Factor (%) CRF 0,083 0,074Summation of Discounted Future Expend SFE 12,058 13,557Present Value of Total O&M (€) SO&M 25.838.573 473.853.240Annual Energy Production (MWh/y) E 87.600 1.051.200Levelized Investment (€/y) LI 4.146.514 77.452.842AnnualLDiscounted O&M (€/y) DO&M 2.142.800 34.953.600Annual O&M / Capital Investment (%) O&M(%) 0,038 0,030LI/E 47,33 73,68DO&M/E 24,46 33,25LCOE (€/MWh) 71,80 106,93Contribution of CAPEX (Turbines) (€/MWh) 34,08 31,58Contribution of CAPEX (BoP) (€/MWh) 13,25 42,10Contribution of OPEX (€/MWh) 24,46 33,25Contribution of CAPEX (Turbines) (%) 0,47 0,30Contribution of CAPEX (BoP) (%) 0,18 0,39Contribution of OPEX (%) 0,34 0,311,00 1,00LCOE CalculatorCalculating LCOE for Up-scaled Designs• To demonstrate the concepts we shall work with two up-scaling strategies, first with “classical up-scaling” and second with “innovation-based up-scaling”, which implies the adoption of new technologies with a strong potential for cutting the costs (and weight) down but also for increasing the offshore wind farm capacity factor. • The goal at this stage is not to identify these innovative technologies but to set targets on their desirable performance.• We shall investigate up-scaling effects on Capacity Factor and Turbine and BoP CAPEX. • OPEX investigations are not part of Innwind.EU. Increasing the turbine size reduces the OPEX per installed MW. Evidently, the OPEX part which is simply proportional to the number of turbines in the farm is getting down when larger turbines are used. We shall assume that a 10% reduction for the standard practices and a 20% reduction with innovative practices is feasible, following the turbine size increase from 5 to 10 MW. EWEA 2014, Barcelona Up-scaling and Wind Farm Capacity FactorClassical Up-scalingEffect of turbine size on the aerodynamic capacity factor of large offshore wind farmsCapacity factor and wake losses in a 10X10 offshore wind farm with 5 MW turbines at 8D spacing. Red dots refer to “standard” and blue squares to “low-induction” turbines. Add 3 percentage units for a standard design and 7 units for an innovative design when the turbine size is increased from 5 to 10 MW. CAPEX - Scaling Exponent and Cost Reduction ௖௟௔௦ ௖EWEA 2014, Barcelona Up-scaling and CAPEX• In classical up-scaling we assume that the scaling exponent for CAPEX is λୡ=3 for theturbine and its main subcomponents and	λୡ=2 for the BoP part. Namely, the TurbineCAPEX scales-up with sଷ where s is the linear scale factor.• Our assumption for the BoP scaling exponent needs further discussion. UPWINDproject showed that for a fixed water depth, the electrical infrastructure and connectionscales-up with the power of the turbine (λୡ=2) and similar assumptions are made for theother BoP cost categories (offshore foundation system, transportation, installation etc.For a given water-depth and a bottom-mounted design it is logical to assume that theoffshore foundation system (monopile, jacket) weight is scaling-up in two dimensionsand not in three (as constrained by the fixed water-depth), thus λ୵=2.• Going to our “innovation-based up-scaling” figures we shall assume λ୵ values lowerthan 3 and 2 for the turbine and BoP parts respectively. For the turbine part every suchλ drop is directly related to technological improvements while for the offshoresubstructure part the fact that the hub height in not up-scaling linearly but adjusts to afixed blade-mean sea level clearance leads to λ୵ values closer to 1.7 than 2.EWEA 2014, Barcelona LCEO for Innovation-based Up scaling EWEA 2014, Barcelona Setting LCOE Targets at Sub-components Levels = 1,41Subcomponent λ rrotor blade 2,30 0,78nacelle-system 2,60 0,87tower 2,50 0,84offshore fundation system 1,50 0,59Innovative 10MWTower optimization assuming a fixed blade–mean sea level clearanceሺhୡ୪ୣୟ୰), where the up-scaled tower is expressed as H s ൌ s. ୈభଶ൅hୡ୪ୣୟ୰ instead of H s ൌ s. Hଵ) results in a scaling exponent ߣ௪ ≅ 2,7 instead of 3+For the offshore foundation system assuming a given water-depth and a tubular structure the resulting scaling exponent of the optimized mass is λ	≅ 1,7BladesNacelleOverallSupport Structure EWEA 2014, Barcelona Scaling Exponents and Cost Targets for 10 MWREF TURBINE (EWEA 5 MW)UPSCALED TURBINETurbine Upscaling ExponentCapacity (MW) 5,00 2,42 Capacity (MW) 10Turbine Cost  (M€/MW) 1,500 Turbine Cost  (M€/MW) 1,742Subcomponent costs (M€)Upscaling exponentsSubcomponent costs (M€)Turbine Only Rotor Rotor lock 0,0000 0,2357 1,00 0,000 2,50 Turbine Only Rotor Rotor lock 0,2276 1,00 0,000Blades 0,2220 1,665 2,30 Blades 0,2121 3,695Hub 0,0137 0,103 2,80 Hub 0,0156 0,271Nacelle systems Gearbox 0,1291 0,2979 0,968 2,60Nacelle systems Gearbox 0,1368 0,3014 2,384Generator 0,0703 0,527 2,00 Generator 0,0605 1,055Rotor brake 0,0132 0,099 2,50 Rotor brake 0,0135 0,235Nacelle cover 0,0135 0,101 2,50 Nacelle cover 0,0138 0,241Nacelle structure 0,0280 0,210 2,50 Nacelle structure 0,0287 0,499Couplings 0,0000 0,000 2,50 Couplings 0,0000 0,000Shaft 0,0191 0,143 2,70 Shaft 0,0210 0,365Yaw system 0,0125 0,094 2,70 Yaw system 0,0137 0,239Bearings 0,0122 0,092 2,70 Bearings 0,0134 0,233Electrics & control Pitch system 0,0266 0,0767 0,200 2,30Electrics & control Pitch system 0,0254 0,0685 0,443Variable speed system 0,0501 0,376 2,00 Variable speed system 0,0431 0,752Tower 0,2630 0,2630 1,973 2,50 Tower 0,2693 0,2693 4,691Other 0,1300 0,1300 0,975 2,50 Other 0,1331 0,1331 2,3197,525 17,422BoP Upscaling Exponent1,50BoP Cost  (M€/MW) 2,000 BoP Cost  (M€/MW) 1,684Subcategory costs (M€)Upscaling exponentsSubcategory costs (M€)BoP Only Foundation system 0,4400 1,00 4,400 1,50 BoP Only Foundation system 0,4394 1,00 7,400Offshore transportation and installation 0,3000 3,000 1,00Offshore transportation and installation 0,2519 4,243Offshore electrical I&C 0,2600 2,600 2,00 Offshore electrical I&C 0,3087 5,20010,000 16,843EWEA 2014, Barcelona Downstream Influenceλ_from λ_to λ_from λ_to λ_from λ_to λ_from λ_to λ_from λ_toRotational Speed -1,00 -0,80 ? ? 3,00 2,80Tower-Top Mass 3,00 2,30 2,70 2,65 1,70 1,66Max Design Thrust 2,00 1,60 ? ? ? ? 2,70 2,46 1,70 1,53Rotor Mass Nacelle Mass Tower Mass OF Mass• For bottom-mounted designs a drastic reduction of the nacelle mass does not have anequally important effect on tower and foundation masses. Thus, for bottom-mounted offshoredesigns, the reduction of the tower-head mass if not followed by an associated costreduction (rotor or drive train) or an increase of the turbine capacity factor is not a target byitself and it can by no means pursued at the cost of drive train efficiency.• This statement is not valid for floating designs where the tower-head mass might be animportant driver of the cost of the floater.• Contrary to tower-head mass, the sensitivity of the overall support structure mass to themaximum (design) thrust is significant.EWEA 2014, Barcelona Conclusions• A 20% LCOE drop from present values until 2020 seems quite feasible for deep offshore wind farms. Large (10 MW+), offshore-dedicated, wind turbines designs will be needed for that. • For fixed water depth, the optimum sizing of the turbine derives by balancing the extra turbine cost with the lower BoP cost per MW as the turbine size increases. This is a common conclusion in all offshore cost studies. It looks that as the water depth increases larger turbines will be the optimum bottom-fixed solution. Nevertheless, this optimum size is still very much dependent on how successful we’ll be in implementing new lower cost technologies in turbine and offshore substructure designs. • Significant LCOE reduction can be expected by improving the wind farm capacity factor. This can be done by using larger turbines with low induction (low-thrust) rotors for better aerodynamic performance and by improving the efficiency of the drive train, power electronics and array cables.• For bottom-mounted offshore designs, the reduction of the tower-head mass if not followed by an associated cost reduction or an increase of the turbine capacity factor is not a target by itself. This statement is not valid for floating designs where the tower-head mass might be an important driver of the cost of the floater. • Contrary to tower-head mass, the sensitivity of the overall support structure mass to the maximum (design) thrust is significant. EWEA 2014, Barcelona 

Key Performance Indicators and Target Values for Multi-Megawatt Offshore Turbines

This work is in the context of the FP7 Innwind.EU Project whose objective is the high performance innovative design of beyond state-of-the-art 10-20 MW offshore wind turbines. The assessment of innovation necessitates a framework where different designs can be compared against a reference on the basis of key performance indicators (KPIs). Following the European Wind Industrial Initiative the Levelized Cost of Electricity (LCOE) and its driving components are investigated, while quantifying the sensitivity of LCOE to its constituent factors. Methods whereby innovation in design can reduce component cost and lower LCOE are investigated. Targets are set to the LCOE by associating with specific technologies and high Customer Net Present Value (NPV)

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Key Performance Indicators and Target Values for Multi-Megawatt Offshore Turbines

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