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An Optimization Model to Develop Efficient Dismantling Networks for Wind Turbines

机译:一种优化模型,用于开发风力涡轮机高效拆卸网络的优化模型

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1 Introduction and Research Background Today, the dismantling of onshore wind turbines is generally conducted completely on-site. The rotor blades are cracked, the tower segments are separated, and the nacelle is cutted into smaller pieces. This undistributed dismantling of wind turbines is very time-consuming, inefficient, and implies ecological and economic risks. The dismantling of a single wind turbine takes around two weeks and entails costs of more than €130,000 [1]. The entire dismantling infrastructure needs to be transported to the wind farm and thus its operating capacity is not fully utilized. Further, in case of a repowering project, the time-consuming undistributed dismantling substantially delays the construction of new wind turbines and leads to lost revenues. An option to the undistributed dismantling is the transportation of only partly dismantled wind turbines to specialized dismantling sites for further handling. These specialized sites permit a better refining and thus higher revenues from selling the raw materials. Further, the specific costs for the necessary dismantling steps can be significantly reduced due to the specialization in the dismantling sites. However, this distributed dismantling implies higher costs for the complex transportation of large-scale components and the initialization of dismantling sites. Consequently, when planning a distributed dismantling of wind turbines, assigned companies face the challenge of determining the optimal dismantling depth for each component as well as the optimal location of specialized dismantling sites.
机译:1目前介绍和研究背景下,拆卸陆上风力涡轮机的拆除通常是完全在现场进行的。转子叶片破裂,分离塔架,并且将机舱切成较小的片。这种未分配的风力涡轮机拆除非常耗时,低效,并意味着生态和经济风险。单个风力涡轮机的拆卸需要大约两周时间,需要超过130,000欧元的成本[1]。整个拆卸基础设施需要运送到风电场,因此无法充分利用其运行能力。此外,如果重新推动项目,则耗时的未分配拆除基本上延迟了新风力涡轮机的构建,并导致丢失的收入。未分配的拆卸的选择是仅将部分拆除的风力涡轮机运输到专门的拆解部位以进行进一步处理。这些专业网站允许更好的炼油,从而销售原材料的更高收入。此外,由于拆除位点的专业化,可以显着降低必要拆除步骤的具体成本。然而,这种分布式拆卸意味着大规模组件复杂运输的成本更高,拆除位点的初始化。因此,在规划风力涡轮机的分布式拆除时,指派公司面临着确定每个部件的最佳拆除深度以及专用拆解位点的最佳位置的挑战。

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