2024风电机组自动化运维

ProgresstowardsAutomatedMaintenancePlanning

ChinaWindPower2018|BoHuAgendaECN/TNOandouractivitiesinoffshorewindO&MThe“ECNDespatch”solution&casestudy2024OffshoreWindFarmOperations@ECN/TNO2024StrategicSimulationToolsforOptimalDecisionMaking

inOffshoreWindFarmsInstallationLong-termO&MstrategyFailurepredictionandresponseShort-termO&Mstrategy2024“ECNDespatch”:

Supportfordailymaintenanceplanningreplacements,repairsandroutineinspectionsarewaitingforaction.2024Resourcesareavailable…2024…alongwithconstraints…2024…andthe“best”choiceofactivitiesmustbeMade2024ImportantQuestionsWhatdefines“best”?Lowestenergyloss?Lowestcosts?Highestnetincome?Whatisoptimisation?MathematicalprocessAutomationWhatistheexistingprocess?Simulationbasedonactualbusinessprocess2024如何定义“最佳”？发电量损失最低？维护成本最低？净收入最高？什么是优化？数学问题自动化当前的计划排布过程是怎样的？模拟基于现实TheSchedulingProcessPlanning安排计划Operations执行计划Review&Update回顾&更新ServiceOrder(维护任务)Turbine(作业风机)Time(任务工时)Technicians(人员要求)TransferPlan(出海计划)Vessels(出行船只)Technicians-Teams(维护人员)ServiceOrders(维护任务)25April201820242024CASEStudy:

PrincessAmalia

WindPark202460VestasV802.0MWturbines

23kmfromportAnExampleDayResources:ServiceOrders:7Preventive2CorrectiveWTG14:4.5manhoursWTG10:14manhoursWeatherforecast:2024TheTransferPlanUsed2024TheOptimumTransferPlan2024COMPARISONoFTransferPlans2024Areforecasterrorsimportant?HigherwindspeedmeansmoreenergylossUnexpectedstormincreasesfutureenergyloss(andwaveheightrestrictsaccess)2024COMPARISONoFTransferPlans2024TheBenefit!UseasDecisionSupport2024UseasDecisionSupport2024UseForAutomation2024EstimatedBenefitsfromautonomousoperationatPAWP2024Totalperiodofstudy:153daysEstimatedenergylossusingActualTransferPlans:5009MWhOptimisedTransferPlans:3286MWhTotalestimatedchangeingrossincome:+302k€(+1.1%)ConclusionsDailymaintenanceplanning–evenonsmallwindfarms–istoocomplexforhumanstosolveoptimallywithoutAIsupport.对于每天的运维安排，即使是一个非常小的风电场，用完全人工的方式去找最优方案也是非常复杂和困难的2024ConclusionsScheduleoptimisationwithECNDespatchimproveswindfarmincomeby:PrioritisingworkandassigningresourcesdifferentlyduringadayPlanningthepreventiveworkonthedayswithlowwindspeedFinishingthecorrectivemaintenanceassoonaspossible用ECNDespatch来排布计划，可以通过以下的方式提高风电场的收益：把一天当中的任务设置顺序，并且以更合理的方式分配资源把预防性维护任务安排在低风速的日子里尽快完成修复性任务2024ConclusionsPotentialforimprovementisevenhigherthan+1.1%yieldincreaseThisexampleonlylookedatminormaintenanceoperationsPAWPhasbeenrunningforalongtimeandhasexperiencedVestasschedulersWecanalsodomultiplevessels

andnetincome(withcostsandenergyprice).发电量提升的潜力可以超过1.1%这个案例仅仅涵盖了较小的维护任务，没有包括大部件的更换案例中的风电场(PAWP)已经运行了很长时间并且由很有经验的Vestas的人员来安排计划。我们的软件也可以安排多条船，并且把净利润当成优化的目标(考虑出行成本和现时电价)2024FutureWorkTheSimulatorandOptimiserarebeingcontinuouslyupdatedtomakethemmorerealisticandpowerfulWeareworkingwithSiemensandSMCintheSPOWTTprojecttoimplement,testanddeveloptheevaluationengine.Wearealsoindiscussionswith2largewindfarmoperatorstoimplementECNDespatchintotheassetmanagementsystemsandprocesses.我们一直在更新软件的模拟器和优化系统，从而使软件更真实，快速和准确。我们在和Siemens以及SMC合作的SPOWTT项目中正在应用和测试ECNDespatch，并且正在升级它的评估引擎我们也正在和另外两个风电场运营商协商在他们的资产管理系统中应用ECNDespatch2024FutureWorkCouplingDigitalTwinsintosimulationtoolswillenablelong-termandshort-termmaintenancedecisionstobemadeonthesamebasis:Totalnetincomeoverthewindfarmlifetime结合DigitalTwins,把长期和短期的决策规划相结合，从而优化风电场寿命内的总净收入2024Thankyoufo