主题介绍
讲解了风电设计中的最佳解决方案。Ansys解决方案为设计、制造及维护多部门提供了涉及多尺度,多领域,多物理场的复杂模拟。可以大大提高风电产品性能,降低设计成本和提高服务质量。
如有任何问题请点击以下链接进入答疑室与我们的技术专家进行交流互动
https://v.ansys.com.cn/live/c279e8ea
演讲人简介
Benjamin Lehugeur
该演讲为Ansys Simulation World 虚拟大会视频
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早上好 下午好 晚上好
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欢迎参加
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本场业界最佳风力涡轮机实践会议
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在本演示中
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我们将从总体上分享
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仿真的主要优势
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以及在发展和
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运行风力涡轮机和风电场的过程中
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实现这一优势所需的功能
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我将设法通过多个示例
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向大家介绍
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Ansys一系列解决方案
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如何帮助我们的客户
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设计具有变革意义的产品
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最后
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在本场会议结束前 我们将提供
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信息摘要
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帮助您了解如何了解有关该主题的更多信息
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以及如何获得
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展位中为您准备的一些其它
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资料
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因此
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首先 我们来
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简单回顾一下
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有关风力涡轮
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机制造商及运营商所遇到的工程挑战
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无论是在设计风力涡轮机时
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还是在这些机器
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的整个
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使用过程中 都会遇到的这些挑战 首先
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我们知道
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过去十年
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风力涡轮机转子的直径
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咋不断增大
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无论是陆地应用
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还是海上应用
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都是如此 因此
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巨大的转子尺度带来了大量的工程挑战
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这些挑战大部分
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与叶片结构稳定性有关
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同样也与一些物流
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及运输挑战有关
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这里的第二点
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是
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捕捉
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每次风力涡轮
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机最高风速带来的
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巨大能量
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随之而来的
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是 这在过去增加了
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很多
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而且这不仅与
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管理极高速度引起的
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极大空气流动载荷有关
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同样也增加了设计
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风力涡轮机自身
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安全控制载荷
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的复
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杂性
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因为我们正在寻求
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增加更高功率输出的方案
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这里我设置为
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每个涡轮机1200万瓦特
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不好意思
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是每个涡轮机12兆瓦
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我认为 这会带来
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与热可靠性有关的许多挑战
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例如
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发电机 变压器 转换器
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等所有位于机内或塔内
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的电气元件
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取决于
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风力涡轮机的设计
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因此所有这些组件
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都将承受非常高的载荷
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这与大量的热损耗有关
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而这种热量开始
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对这类电气组件
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的可靠性运行
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至关重要
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因此
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我们或许甚至会将其加入
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而在海上应用的实例中
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这一挑战
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甚至会更大
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因为风力涡轮机的工作条件十分恶劣
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环境十分恶劣
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既有湿度 含盐度又高
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所有这些条件
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为设计
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这种环境条件下的机舱和高塔
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带来了许多限制
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现在我们来看看风轮机的外部情况
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过去20到25年间
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许多安装风电场的
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好位置
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早已被使用
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塞满了
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大量的风力涡轮机
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目前的挑战
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是为偏远地方的风电场设计合理的布局
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我们可能会想到山区
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也可能会想到设计合理的风轮机
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不好意思 是风电场布局
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越来越靠近城市
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越来越靠近城区
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而这也将带来一系列的挑战
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风力涡轮机的制造商
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和运营商
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都要首先解决与
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风电场相关的噪声等级问题
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然后
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要优化
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风电场内部风轮机的位置
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例如
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确保第一排风力涡轮机的尾流区
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不会对第二排
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的性能
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造成太大的影响
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好的,现在我只是指出了
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与设计和安装风力涡轮机相关
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的一些挑战
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当然也有
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一系列
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其它的整体挑战
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这些挑战与
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风电场的运行有关
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我的意思是风力涡轮机就是
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这种机器
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可以持续工作长达30多年
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而在机器本身的整个生命周期
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维护成本的比重
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很大
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因此
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如果我在这里也要举一个例子
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如果海上风力涡轮机的
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某个位置出现了一个故障
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除了在一定时间内
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损失
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了一些能量外
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还将产生
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巨大的成本
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这些成本与运营商需要前往现场
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维修异常昂贵的部件相关
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所以随后的问题是
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行业
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风力涡轮机行业
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想要解决什么问题
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我们该如何预测此类故障
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有没有一种方式
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可以预测何时需要更换风力涡轮机上的哪款组件
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好 我现在要花几分钟
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时间来向大家
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介绍所有这些挑战
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这
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有助于通过Ansys解决所有这些
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工程
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挑战 但我希望您
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不要觉得
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我的话是理所当然的 我希望
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为您提供一些证据
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而且我会尽量引用
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Ansys客户使用我们的解决方案
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所取得的成就
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这有3个示例
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第一个示例与
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我们一个客户的产能有关
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该客户利用我们的
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多物理场解决方案设计
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让发电机功率输出提高了一倍
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第二个示例
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是为设计
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极具创新性的叶片
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满足小型
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风轮机需求
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节省了80%的
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材料成本
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该案例中是城市风轮机
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最后一个案例
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与设计无关
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而是能源产量增加了
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5%
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这显著提高了
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收入
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这也与为
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风力涡轮机整个发电厂的
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整个园区
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使用我们的数字孪生
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解决方案相关
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因此
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这就是使用Ansys解决方案
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有望实现的
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00:08:01.33 - 00:08:02.61 9
所有类型的量化成果
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00:08:02.61 - 00:08:07.16 8
更具体的说 现在
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我要向大家
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概括介绍
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Ansys为实现这些成果
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所提供的主要优势
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00:08:16.87 - 00:08:18.45 3
接下来
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我们为您确定了以下6项功能
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00:08:22.26 - 00:08:24.24 9
这些工程设计功能是
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00:08:24.33 - 00:08:27.81 13
我们马上要进一步深入了解的
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00:08:27.81 - 00:08:32.90 13
首先是转子空气动力学和声学
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00:08:32.90 - 00:08:34.25 3
然后是
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一些与塔架机舱结构
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设计相关的
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具体应用
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对于与该技术相关的转子和所有制造应用
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00:08:47.98 - 00:08:50.26 2
随后
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我们将介绍发电与变压
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00:08:53.89 - 00:08:59.30 14
接下来介绍风力涡轮机外部情况
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00:08:59.30 - 00:09:00.26 2
然后
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讨论风电场的设计
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随后介绍
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00:09:08.60 - 00:09:09.09 6
两个特定主题
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与控制系统的研发
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和风力涡轮机的安全运行相关
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00:09:14.42 - 00:09:18.42 4
最后讨论
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基于这种情况的维护能力
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00:09:20.38 - 00:09:24.38 10
以及利用数字孪生技术
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监控整个风电场
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00:09:26.60 - 00:09:29.17 5
的工作情况
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00:09:31.73 - 00:09:37.08 12
因此现在我们一起来了解下
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00:09:37.21 - 00:09:39.30 8
这六个不同的主题
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首先介绍转子空气动力学
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00:09:42.58 - 00:09:42.94 3
和声学
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00:09:43.01 - 00:09:46.30 12
在这里 风力涡轮机制造商
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竭力解决的工程挑战
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如下所示
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首先是
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与能否拥有一款良好设计相关
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其可捕捉
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00:10:01.19 - 00:10:03.97 7
尽可能多的风能
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00:10:03.97 - 00:10:07.97 6
他们正在努力
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00:10:07.97 - 00:10:09.48 10
通过该设计解决的问题
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是在恶劣条件下工作
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00:10:12.78 - 00:10:15.77 7
有一种与叶片上
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积冰有关的老化
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00:10:16.50 - 00:10:19.49 8
前面我也提到过,
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噪声等级
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00:10:19.82 - 00:10:22.81 3
在我们
-
00:10:22.81 - 00:10:23.60 13
寻找安装风力涡轮机的位置时
-
00:10:23.60 - 00:10:27.27 4
至关重要
-
00:10:27.27 - 00:10:28.17 6
而且无论怎样
-
00:10:28.25 - 00:10:31.91 11
还要看是否获得专业认证
-
00:10:31.91 - 00:10:33.38 5
最终是这些
-
00:10:33.46 - 00:10:37.13 3
大叶片
-
00:10:37.13 - 00:10:37.29 3
大转子
-
00:10:37.29 - 00:10:40.89 16
在空气动力学载荷下会发生严重变形
-
00:10:40.89 - 00:10:41.92 3
这需要
-
00:10:42.00 - 00:10:45.60 13
在设计过程中纳入考虑范围内
-
00:10:45.60 - 00:10:46.15 5
Ansys
-
00:10:46.23 - 00:10:49.83 11
如何游刃有余地提供帮助
-
00:10:49.83 - 00:10:51.34 6
我们正在提供
-
00:10:51.34 - 00:10:55.56 10
仿真整个3维场的功能
-
00:10:55.56 - 00:10:57.24 17
充分满足空气声学和空气动力学的要求
-
00:10:57.33 - 00:11:01.55 11
我们不仅有垂直解决方案
-
00:11:01.55 - 00:11:03.04 14
专门用于计算叶片上的积冰情况
-
00:11:03.14 - 00:11:07.35 10
而且还有一个开放平台
-
00:11:07.35 - 00:11:08.01 5
在该平台上
-
00:11:08.01 - 00:11:11.66 8
我们可以进行耦合
-
00:11:11.66 - 00:11:12.06 9
并可以计算叶片变形
-
00:11:12.15 - 00:11:15.80 10
和空气动力学载荷之间
-
00:11:15.80 - 00:11:17.18 5
的耦合效应
-
00:11:17.26 - 00:11:20.91 11
一些输出示例 您可以
-
00:11:20.91 - 00:11:21.32 16
通过该Ansys解决方案功能获取
-
00:11:21.32 - 00:11:24.95 11
同时在转子设计早期阶段
-
00:11:24.95 - 00:11:26.08 5
您还可设法
-
00:11:26.16 - 00:11:29.79 7
获得精确的功率
-
00:11:29.79 - 00:11:30.59 4
曲线评估
-
00:11:30.68 - 00:11:34.30 4
从而确定
-
00:11:34.30 - 00:11:34.71 7
不同类型的风态
-
00:11:34.71 - 00:11:39.08 8
确实沿着您的所有
-
00:11:39.08 - 00:11:39.77 11
风力涡轮机功率曲线发展
-
00:11:39.77 - 00:11:43.14 4
确切地说
-
00:11:43.14 - 00:11:44.95 16
计算作用在风力涡轮机上的力和力矩
-
00:11:45.02 - 00:11:48.40 6
也将十分有用
-
00:11:48.40 - 00:11:49.07 5
随后可计算
-
00:11:49.15 - 00:11:49.83 4
叶片变形
-
00:11:49.83 - 00:11:54.86 4
我讲过的
-
00:11:54.86 - 00:11:55.98 6
可以计算积冰
-
00:11:56.10 - 00:12:01.13 12
这将帮助您设计潜在的系统
-
00:12:01.13 - 00:12:02.14 7
让他们眼前一亮
-
00:12:02.25 - 00:12:07.29 3
甚至设
-
00:12:07.29 - 00:12:07.85 5
想一些具有
-
00:12:07.85 - 00:12:12.52 10
加热盘的除冰设计系统
-
00:12:12.52 - 00:12:13.24 7
最后我们将能够
-
00:12:13.35 - 00:12:17.39 9
帮助您在验证环境中
-
00:12:17.50 - 00:12:22.16 10
预测风力涡轮机周围的
-
00:12:22.16 - 00:12:23.82 4
噪声等级
-
00:12:23.82 - 00:12:28.82 2
DB
-
00:12:28.82 - 00:12:29.26 2
从而
-
00:12:29.37 - 00:12:34.37 7
在设计早期阶段
-
00:12:34.37 - 00:12:35.82 4
通过认证
-
00:12:35.82 - 00:12:39.12 9
我们来看看第二部分
-
00:12:39.12 - 00:12:39.49 9
与叶片、机舱、高塔
-
00:12:39.56 - 00:12:42.86 10
的结构设计相关性更强
-
00:12:42.86 - 00:12:45.06 2
这里
-
00:12:45.14 - 00:12:45.95 7
与工程挑战相关
-
00:12:45.95 - 00:12:50.20 6
的首要因素是
-
00:12:50.20 - 00:12:50.95 8
该组件的成本降低
-
00:12:51.05 - 00:12:55.30 4
质量减少
-
00:12:55.30 - 00:12:56.33 12
这里当我们谈到质量和成本
-
00:12:56.43 - 00:13:00.68 4
降低以及
-
00:13:00.68 - 00:13:02.10 9
为正确的风力涡轮机
-
00:13:02.10 - 00:13:06.00 14
找到正确的材料时 材料是关键
-
00:13:06.00 - 00:13:07.30 11
在风力涡轮机制造行业中
-
00:13:07.39 - 00:13:11.30 10
应用是所有结构工程师
-
00:13:11.30 - 00:13:13.55 6
或者结构部门
-
00:13:13.64 - 00:13:17.55 7
都会遇到的挑战
-
00:13:17.55 - 00:13:19.46 5
此外 这与
-
00:13:19.46 - 00:13:22.32 13
复合材料相关的技术紧密相关
-
00:13:22.32 - 00:13:23.46 8
当我们讨论叶片时
-
00:13:23.52 - 00:13:26.39 11
就不得不说复合材料以及
-
00:13:26.39 - 00:13:28.42 8
高级复合材料特征
-
00:13:28.48 - 00:13:29.76 18
这可能是叶片设计人员所面临的一种挑战
-
00:13:29.76 - 00:13:33.52 2
最后
-
00:13:33.52 - 00:13:34.53 10
它不仅与性能设计有关
-
00:13:34.61 - 00:13:38.37 8
还与物流设计有关
-
00:13:38.37 - 00:13:39.96 17
其设计主要针对运输以及所有这些组件
-
00:13:40.05 - 00:13:43.81 4
整个这一
-
00:13:43.81 - 00:13:44.07 7
业务关键型应用
-
00:13:44.07 - 00:13:47.61 3
都需要
-
00:13:47.61 - 00:13:49.02 6
在设计层面上
-
00:13:49.10 - 00:13:50.05 4
进行考虑
-
00:13:50.05 - 00:13:52.93 11
Ansys如何帮助解决
-
00:13:52.93 - 00:13:53.19 4
这一挑战
-
00:13:53.19 - 00:13:57.01 6
我们提供一款
-
00:13:57.01 - 00:13:58.54 9
统一的材料管理系统
-
00:13:58.62 - 00:14:02.44 13
其可执行非常复杂的载荷分析
-
00:14:02.44 - 00:14:04.91 2
甚至
-
00:14:04.99 - 00:14:06.27 12
涵盖某些与物流相关的特征
-
00:14:06.27 - 00:14:09.90 9
对于不同结构的组件
-
00:14:09.90 - 00:14:10.87 3
的效率
-
00:14:10.95 - 00:14:14.58 10
我们有相关的多物理场
-
00:14:14.58 - 00:14:14.99 4
工作流程
-
00:14:14.99 - 00:14:19.94 8
以及针对复合材料
-
00:14:19.94 - 00:14:20.50 9
的专属垂直解决方案
-
00:14:20.50 - 00:14:23.91 12
其可跨越从叶片本身的设计
-
00:14:23.91 - 00:14:24.60 7
到叶片制造工艺
-
00:14:24.67 - 00:14:28.09 5
的整个流程
-
00:14:28.09 - 00:14:28.54 2
因此
-
00:14:28.62 - 00:14:32.04 11
您可以在单个解决方案中
-
00:14:32.04 - 00:14:32.95 8
考虑所有这些过程
-
00:14:32.95 - 00:14:36.54 9
这将嵌入到框架之中
-
00:14:36.54 - 00:14:37.34 4
其有助于
-
00:14:37.42 - 00:14:41.01 8
针对所有这些参考
-
00:14:41.01 - 00:14:42.61 9
进行一些优化 而且
-
00:14:42.69 - 00:14:44.61 8
您将得到一些输出
-
00:14:44.61 - 00:14:48.02 7
您可执行仿真的
-
00:14:48.02 - 00:14:48.48 9
空气动力学载荷场景
-
00:14:48.55 - 00:14:51.90 4
十分庞大
-
00:14:51.97 - 00:14:55.39 11
您也可以在您正在使用的
-
00:14:55.39 - 00:14:56.53 7
基础风力涡轮机
-
00:14:56.53 - 00:14:59.95 12
或套管中针对海上特性考虑
-
00:14:59.95 - 00:15:00.48 6
一些波浪荷载
-
00:15:00.56 - 00:15:03.75 5
而且您能够
-
00:15:03.82 - 00:15:07.24 7
在设计早期阶段
-
00:15:07.24 - 00:15:07.70 4
预见这些
-
00:15:07.70 - 00:15:11.51 12
首次 正确的复合模具制造
-
00:15:11.51 - 00:15:13.55 7
不出现任何错误
-
00:15:13.63 - 00:15:17.19 7
您将在制造阶段
-
00:15:17.28 - 00:15:21.09 17
省下大量的原型设计工作 而且重量和
-
00:15:21.09 - 00:15:23.12 13
材料成本的大幅缩减可以预见
-
00:15:23.12 - 00:15:26.70 11
我们可通过一些相关示例
-
00:15:26.70 - 00:15:27.09 2
为此
-
00:15:27.17 - 00:15:29.32 6
提供一些例证
-
00:15:31.40 - 00:15:35.21 2
现在
-
00:15:35.21 - 00:15:36.57 18
我们来讨论更多与该主题相关的电气组件
-
00:15:36.65 - 00:15:40.47 13
与发电和变压相关的一切因素
-
00:15:40.47 - 00:15:43.52 9
我们在这里要强调的
-
00:15:43.61 - 00:15:47.42 6
典型工程挑战
-
00:15:47.42 - 00:15:48.69 9
是如何提高功率密度
-
00:15:48.69 - 00:15:52.70 3
以满足
-
00:15:52.70 - 00:15:53.68 9
不断增加的市场需求
-
00:15:53.77 - 00:15:57.77 9
如何提高电网稳定性
-
00:15:57.77 - 00:15:58.49 6
和互联控制性
-
00:15:58.49 - 00:16:02.52 11
电网无法获取额外的能量
-
00:16:03.24 - 00:16:07.27 6
以及如何存贮
-
00:16:07.27 - 00:16:08.07 5
或许是电池
-
00:16:08.16 - 00:16:12.20 8
存储未使用的电能
-
00:16:12.20 - 00:16:14.35 22
这些就是风力涡轮机制造商 运营商 运营商系统
-
00:16:14.35 - 00:16:18.97 8
无时不刻所面临的
-
00:16:18.97 - 00:16:20.52 6
所有相关挑战
-
00:16:20.52 - 00:16:24.55 13
Ansys能够解决下列挑战
-
00:16:24.55 - 00:16:26.52 4
我们拥有
-
00:16:26.61 - 00:16:30.65 48
一款综合的电子机械 00:16:30.654 --> 00:16:33.524 支持多物理场
-
00:16:33.61 - 00:16:34.51 12
能够在电网层面设计发电机
-
00:16:34.51 - 00:16:38.81 6
系统电路设计
-
00:16:38.81 - 00:16:39.00 2
可在
-
00:16:39.10 - 00:16:43.41 12
Ansys解决方案中完成
-
00:16:43.41 - 00:16:44.65 8
以便预测系统性能
-
00:16:44.75 - 00:16:47.43 9
以及不同的电气载荷
-
00:16:47.43 - 00:16:51.76 15
使用这款Ansys系统解决方案
-
00:16:51.76 - 00:16:51.95 7
将获得什么优势
-
00:16:52.04 - 00:16:54.55 7
您将能能够验证
-
00:16:54.55 - 00:16:58.70 5
发电机效率
-
00:16:58.70 - 00:16:58.89 4
及其性能
-
00:16:58.89 - 00:17:02.38 8
考虑各种系统组件
-
00:17:02.38 - 00:17:03.62 6
例如齿轮叶片
-
00:17:03.69 - 00:17:07.18 6
以及电气布线
-
00:17:07.18 - 00:17:08.50 11
不仅要以发电机自身为重
-
00:17:08.58 - 00:17:11.30 13
还要着眼于发电机周围的一切
-
00:17:11.30 - 00:17:14.99 6
您将能够预测
-
00:17:14.99 - 00:17:15.16 6
发电机的温度
-
00:17:15.24 - 00:17:18.93 6
及其声学功能
-
00:17:18.93 - 00:17:21.07 5
这有助于您
-
00:17:21.15 - 00:17:24.85 4
为发电机
-
00:17:24.85 - 00:17:25.18 11
设计一套特有的散热系统
-
00:17:25.18 - 00:17:29.16 13
最后组件层面的电源转换电路
-
00:17:29.16 - 00:17:31.02 6
和系统层面的
-
00:17:31.11 - 00:17:35.09 6
电源转换电路
-
00:17:35.18 - 00:17:39.16 8
都允许您进行尺寸
-
00:17:39.16 - 00:17:39.43 2
调整
-
00:17:39.43 - 00:17:41.98 11
为这一应用设计控制软件
-
00:17:45.31 - 00:17:49.00 12
我们现在来看看第四个主题
-
00:17:49.08 - 00:17:52.69 7
这与风电场相关
-
00:17:52.78 - 00:17:56.56 13
因此我们将移动并放大涡轮机
-
00:17:56.56 - 00:17:56.89 12
现在我们来看看风电场本身
-
00:17:56.89 - 00:18:00.14 2
通常
-
00:18:00.14 - 00:18:01.65 11
我们正在寻找的工程部门
-
00:18:01.72 - 00:18:04.97 6
以及我们了解
-
00:18:04.97 - 00:18:05.62 6
风电场的公司
-
00:18:05.69 - 00:18:08.93 11
可能与着眼于不同组件的
-
00:18:08.93 - 00:18:09.94 5
工程师相比
-
00:18:09.94 - 00:18:13.50 4
截然不同
-
00:18:13.50 - 00:18:14.29 17
我们在之前的三部幻灯片中已经讨论过
-
00:18:14.37 - 00:18:17.93 5
通常这些人
-
00:18:17.93 - 00:18:19.43 5
寻求的都是
-
00:18:19.51 - 00:18:23.07 8
大规模的能量预测
-
00:18:23.07 - 00:18:24.50 6
这里的一般性
-
00:18:24.50 - 00:18:27.88 9
挑战是预测发电厂内
-
00:18:27.88 - 00:18:32.06 7
尾流引起的损耗
-
00:18:32.06 - 00:18:33.27 16
这涉及到发电场内不同涡轮机的重量
-
00:18:33.36 - 00:18:37.55 2
以及
-
00:18:37.55 - 00:18:38.29 15
与在哪里建风电场有关的所有挑战
-
00:18:38.38 - 00:18:42.57 7
例如 我们可以
-
00:18:42.57 - 00:18:43.03 7
让它靠近城市吗
-
00:18:43.03 - 00:18:47.14 9
我们可以将风电场建
-
00:18:47.24 - 00:18:51.64 6
在森林周围吗
-
00:18:51.64 - 00:18:52.43 12
这些都是发电厂建设工程师
-
00:18:52.53 - 00:18:55.76 5
面临的问题
-
00:18:55.76 - 00:18:59.61 5
我们的实力
-
00:18:59.61 - 00:19:00.30 12
Ansys的实力众所周知
-
00:19:00.38 - 00:19:04.24 5
这些工程师
-
00:19:04.24 - 00:19:05.44 12
并非都是流体动力学的专家
-
00:19:05.52 - 00:19:09.38 18
我们研发了一种自动化工作流程特定应用
-
00:19:09.38 - 00:19:11.78 11
其可帮助计算流体动力学
-
00:19:11.78 - 00:19:16.29 5
经验极少的
-
00:19:16.29 - 00:19:18.39 3
工程师
-
00:19:18.49 - 00:19:21.80 9
通过我们的最佳实践
-
00:19:21.80 - 00:19:25.45 10
对风电场进行全面仿真
-
00:19:25.45 - 00:19:26.50 4
包括重量
-
00:19:26.58 - 00:19:30.23 6
损失 包括对
-
00:19:30.23 - 00:19:31.61 13
该风电场年产能量的整体评估
-
00:19:31.69 - 00:19:35.18 13
这是他们所能获得的输出种类
-
00:19:35.18 - 00:19:39.03 7
我就讲这么多了
-
00:19:39.12 - 00:19:43.06 11
因此特定风向速度条件下
-
00:19:43.06 - 00:19:44.02 5
发电厂行为
-
00:19:44.11 - 00:19:47.53 5
的详细评估
-
00:19:47.53 - 00:19:51.10 10
甚至可依据现有的数据
-
00:19:51.10 - 00:19:51.42 8
执行一些成本预测
-
00:19:51.42 - 00:19:56.30 15
这些数据您可能已经通过具体桅杆
-
00:19:56.30 - 00:19:57.38 5
不好意思是
-
00:19:57.49 - 00:19:59.34 5
位置 收集
-
00:19:59.34 - 00:20:02.90 15
总的来说 您将获得的一些期望值
-
00:20:02.90 - 00:20:03.84 3
及成果
-
00:20:03.92 - 00:20:07.40 14
必须具有最好的风力涡轮机布局
-
00:20:07.48 - 00:20:11.04 7
针对您正在努力
-
00:20:11.04 - 00:20:12.15 5
的所选位置
-
00:20:12.15 - 00:20:15.69 8
同时要最大限限度
-
00:20:15.69 - 00:20:15.85 6
提高能量输出
-
00:20:18.63 - 00:20:22.34 7
好的 现在讨论
-
00:20:22.34 - 00:20:24.08 7
风能设备制造商
-
00:20:24.16 - 00:20:27.88 8
将遇到的控制系统
-
00:20:27.88 - 00:20:29.04 12
及软件工程挑战 如下所示
-
00:20:29.12 - 00:20:32.84 10
这就是我们的控制软件
-
00:20:32.84 - 00:20:33.58 5
我的意思是
-
00:20:33.58 - 00:20:37.44 9
我们针对大量标准的
-
00:20:37.44 - 00:20:37.78 2
控制
-
00:20:37.87 - 00:20:41.47 17
有大量与控制本身安全及安全工作相关
-
00:20:41.55 - 00:20:45.41 3
的标准
-
00:20:45.41 - 00:20:47.81 9
对于一般性控制而言
-
00:20:47.81 - 00:20:51.56 13
我们通常会花费大量的精力来
-
00:20:51.56 - 00:20:52.06 9
整合不同的最佳实践
-
00:20:52.15 - 00:20:55.90 5
它们内部有
-
00:20:55.90 - 00:20:57.57 6
控制软件而且
-
00:20:57.65 - 00:21:01.41 6
整合这类工作
-
00:21:01.41 - 00:21:03.08 10
应符合现有的安全标准
-
00:21:03.08 - 00:21:07.82 10
以及复杂的风轮机控制
-
00:21:07.82 - 00:21:10.56 6
而且系统监控
-
00:21:10.56 - 00:21:13.67 7
与10年前相比
-
00:21:13.67 - 00:21:13.81 8
使用案例越来越多
-
00:21:13.88 - 00:21:17.00 10
因为风力涡轮机的运作
-
00:21:17.00 - 00:21:18.17 6
也给予了厚望
-
00:21:18.24 - 00:21:21.22 5
我的意思是
-
00:21:21.22 - 00:21:24.11 15
涡轮机将在更加恶劣的条件下工作
-
00:21:24.11 - 00:21:28.44 9
Ansys正在推出
-
00:21:28.44 - 00:21:30.57 11
集成功能安全性分析平台
-
00:21:30.66 - 00:21:35.00 11
通过该平台 控制工程师
-
00:21:35.00 - 00:21:35.87 6
不仅能够工作
-
00:21:35.96 - 00:21:40.30 6
而且还能确保
-
00:21:40.30 - 00:21:40.79 6
其控制系统是
-
00:21:40.79 - 00:21:45.04 7
安全的 能满足
-
00:21:45.04 - 00:21:46.27 8
软件的设计和需求
-
00:21:46.36 - 00:21:50.34 10
这些需求预先已经定义
-
00:21:50.34 - 00:21:54.30 13
此外 他们还能在控制器设计
-
00:21:54.30 - 00:21:54.39 3
的早期
-
00:21:54.48 - 00:21:58.45 6
阶段执行一些
-
00:21:58.45 - 00:21:58.53 7
模型层面的测试
-
00:21:58.62 - 00:22:02.59 4
无需等待
-
00:22:02.59 - 00:22:03.21 3
其模型
-
00:22:03.21 - 00:22:07.61 2
编译
-
00:22:07.61 - 00:22:08.50 7
并编码至控制器
-
00:22:08.50 - 00:22:13.20 4
输出示例
-
00:22:13.20 - 00:22:13.93 6
首先要说的是
-
00:22:14.03 - 00:22:15.92 20
我们的解决方案不存在错误 这一点也很重要
-
00:22:15.92 - 00:22:19.45 9
因此您可以期待输出
-
00:22:19.53 - 00:22:22.66 6
期待您的团队
-
00:22:22.66 - 00:22:27.02 6
可以大幅减少
-
00:22:27.02 - 00:22:28.19 11
代码自身的相关验证工作
-
00:22:28.28 - 00:22:32.07 10
您的代码在默认情况下
-
00:22:32.07 - 00:22:36.15 12
符合IE C6158认证
-
00:22:36.15 - 00:22:38.24 11
该认证适应于风力涡轮机
-
00:22:38.33 - 00:22:42.41 2
因此
-
00:22:42.41 - 00:22:42.59 8
我们可以确保最初
-
00:22:42.68 - 00:22:46.77 12
我们为您提供的代码生成器
-
00:22:46.77 - 00:22:47.77 6
已经自动验证
-
00:22:47.77 - 00:22:52.53 10
符合您的特定应用需求
-
00:22:52.53 - 00:22:56.48 11
最后 这一部分也很重要
-
00:22:56.48 - 00:22:56.83 5
我要讲的是
-
00:22:56.92 - 00:23:00.87 13
风电场预测性维护的相关内容
-
00:23:00.87 - 00:23:02.36 9
以及数字孪生的应用
-
00:23:02.45 - 00:23:06.40 4
工程挑战
-
00:23:06.40 - 00:23:08.77 10
可能是随后的机械疲劳
-
00:23:08.77 - 00:23:12.19 10
与机械疲劳相关的成本
-
00:23:12.19 - 00:23:15.76 6
是风轮机整个
-
00:23:15.76 - 00:23:16.39 4
生命周期
-
00:23:16.47 - 00:23:18.62 10
都需要进行预测的情况
-
00:23:18.62 - 00:23:21.60 12
其它计划外的停机 对不起
-
00:23:21.60 - 00:23:22.66 6
还有维护成本
-
00:23:22.73 - 00:23:25.71 10
在本演示一开始的时候
-
00:23:25.71 - 00:23:26.71 7
也已经介绍过了
-
00:23:26.77 - 00:23:29.76 3
真的对
-
00:23:29.76 - 00:23:30.62 6
风轮机本身的
-
00:23:30.62 - 00:23:33.97 16
总体成本增加起到了推波助澜的作用
-
00:23:33.97 - 00:23:34.04 8
这不仅有设计成本
-
00:23:34.12 - 00:23:37.47 3
更多的
-
00:23:37.47 - 00:23:38.21 6
是风力涡轮机
-
00:23:38.29 - 00:23:38.44 5
的运行成本
-
00:23:38.44 - 00:23:41.33 7
此外 还能预测
-
00:23:41.33 - 00:23:42.42 11
风力涡轮机的非理想工作
-
00:23:42.49 - 00:23:45.38 44
如果在 00:23:45.388 --> 00:23:46.546 组件层面发生状况
-
00:23:46.61 - 00:23:49.50 10
例如偏动偏差 这些就
-
00:23:49.50 - 00:23:50.27 10
属于风力涡轮机运营商
-
00:23:50.27 - 00:23:53.76 5
想要预测的
-
00:23:53.76 - 00:23:55.01 5
一般性挑战
-
00:23:55.01 - 00:23:58.61 12
Ansys可提供各种功能
-
00:23:58.61 - 00:24:02.21 9
建模功能和仿真功能
-
00:24:02.21 - 00:24:02.29 4
包括3D
-
00:24:02.37 - 00:24:05.89 9
所以是3D降阶建模
-
00:24:05.89 - 00:24:10.78 6
其将提高速度
-
00:24:10.78 - 00:24:12.20 11
而且我始终坚持准确计算
-
00:24:12.31 - 00:24:12.53 5
疲劳应力点
-
00:24:12.53 - 00:24:16.80 5
此外 您还
-
00:24:16.80 - 00:24:17.18 2
能够
-
00:24:17.28 - 00:24:21.56 13
定义数字孪生中的虚拟传感器
-
00:24:21.56 - 00:24:22.98 2
无需
-
00:24:23.08 - 00:24:27.36 8
为您的风力涡轮机
-
00:24:27.36 - 00:24:28.02 10
装配大量的物理传感器
-
00:24:28.02 - 00:24:32.24 4
但您可以
-
00:24:32.24 - 00:24:33.56 4
完全依赖
-
00:24:33.65 - 00:24:34.22 7
这款虚拟传感器
-
00:24:34.22 - 00:24:38.09 11
例如我们解决方案的输出
-
00:24:38.09 - 00:24:38.69 2
您可
-
00:24:38.78 - 00:24:42.65 9
不断监控风力涡轮机
-
00:24:42.65 - 00:24:44.54 5
的结构响应
-
00:24:44.63 - 00:24:48.50 14
而且能够瞬间拥有所有这些信息
-
00:24:48.50 - 00:24:50.22 3
您无需
-
00:24:50.22 - 00:24:53.84 4
等待几周
-
00:24:53.92 - 00:24:57.80 13
便可获得与此有关的任何报告
-
00:24:57.80 - 00:24:57.97 8
信息将会实时呈现
-
00:24:58.06 - 00:25:01.94 9
也可以进行实时预测
-
00:25:01.94 - 00:25:02.54 4
也就是说
-
00:25:02.54 - 00:25:04.44 12
预测风力涡轮机的实际行为
-
00:25:04.44 - 00:25:07.82 2
以及
-
00:25:07.82 - 00:25:08.95 14
每个风轮机还有多长的使用寿命
-
00:25:09.03 - 00:25:12.41 7
通过这样的操作
-
00:25:12.41 - 00:25:12.86 3
您可以
-
00:25:12.94 - 00:25:16.33 9
更好的安排维护工作
-
00:25:16.33 - 00:25:18.66 3
甚至为
-
00:25:18.66 - 00:25:20.46 11
整个风电场生成性能指数
-
00:25:22.63 - 00:25:27.22 9
而且我也告诉过大家
-
00:25:27.22 - 00:25:27.33 13
不要觉得我的话是理所当然的
-
00:25:27.43 - 00:25:32.02 4
这里也有
-
00:25:32.02 - 00:25:32.64 4
一些证据
-
00:25:32.74 - 00:25:37.24 8
听完这些录音之后
-
00:25:37.24 - 00:25:41.25 7
接下来的几分钟
-
00:25:41.25 - 00:25:42.24 4
我希望您
-
00:25:42.33 - 00:25:46.35 6
看看展位材料
-
00:25:46.35 - 00:25:46.88 3
在这里
-
00:25:46.97 - 00:25:50.99 14
您可以下载本演示的PDF文件
-
00:25:50.99 - 00:25:51.44 16
也可以找到一些非常不错的配套内容
-
00:25:51.44 - 00:25:55.36 4
您也可以
-
00:25:55.36 - 00:25:56.75 10
找到一些客户成功案例
-
00:25:56.84 - 00:26:00.76 9
这里的三个成功案例
-
00:26:00.76 - 00:26:00.85 4
主要介绍
-
00:26:00.93 - 00:26:04.85 15
风力涡轮机制造领域的领先企业及
-
00:26:04.85 - 00:26:06.16 6
其领先运营商
-
00:26:06.16 - 00:26:10.57 5
您将会明白
-
00:26:10.57 - 00:26:11.06 14
我们将是如何定量输出和成果的
-
00:26:11.15 - 00:26:15.56 10
这些成果是我们的客户
-
00:26:15.56 - 00:26:16.54 11
使用我们的仿真解决方案
-
00:26:16.64 - 00:26:18.50 3
获得的
-
00:26:18.50 - 00:26:22.02 2
此外
-
00:26:22.02 - 00:26:22.10 10
这里还有大量您可能会
-
00:26:22.18 - 00:26:25.70 6
感兴趣的链接
-
00:26:25.78 - 00:26:29.31 17
其可帮助您更深入的领略各种技术主题
-
00:26:29.31 - 00:26:30.25 10
掌握一些技巧和小窍门
-
00:26:30.25 - 00:26:33.77 16
查看网络研讨会 甚至一些培训课程
-
00:26:33.77 - 00:26:35.57 8
以及一些应用简介
-
00:26:35.65 - 00:26:39.17 2
还有
-
00:26:39.17 - 00:26:39.33 13
一些可以说更高层次的白皮书
-
00:26:39.41 - 00:26:42.62 13
阅读这些值得您信赖的白皮书
-
00:26:42.62 - 00:26:46.60 11
可以让您更加深入地了解
-
00:26:46.60 - 00:26:48.37 13
Ansys是如何帮助其客户
-
00:26:48.46 - 00:26:52.45 5
获得成功的
-
00:26:52.45 - 00:26:53.78 11
特别是其风力涡轮机客户
-
00:26:53.78 - 00:26:57.35 6
就讲到这里吧
-
00:26:57.44 - 00:27:01.46 9
我想用两三分钟时间
-
00:27:01.46 - 00:27:02.44 4
告诉大家
-
00:27:02.53 - 00:27:06.55 7
你们也可以访问
-
00:27:06.55 - 00:27:06.99 7
可以访问本展位
-
00:27:06.99 - 00:27:11.08 19
了解这六个主题中任意一个主题的更多详情
-
00:27:11.08 - 00:27:11.62 10
今天的内容我就讲完了
-
00:27:11.71 - 00:27:15.80 9
现在我们来回顾一下
-
00:27:15.80 - 00:27:16.07 9
大家将看到一个视频
-
00:27:16.16 - 00:27:20.25 6
另外一个视频
-
00:27:20.25 - 00:27:20.61 6
格式为MP4
-
00:27:20.61 - 00:27:24.43 12
您可以浏览并再次去每一个
-
00:27:24.52 - 00:27:28.52 8
您感兴趣的主题下
-
00:27:28.52 - 00:27:28.87 3
发帖子
-
00:27:28.96 - 00:27:32.96 18
这是一个有关典型转子空气动力学的主题
-
00:27:32.96 - 00:27:33.93 11
但这里的信息量十分庞大
-
00:27:33.93 - 00:27:37.00 4
我请大家
-
00:27:37.00 - 00:27:37.34 7
一步一步的点击
-
00:27:37.41 - 00:27:40.48 2
浏览
-
00:27:40.48 - 00:27:41.23 4
相关信息
-
00:27:41.30 - 00:27:44.09 14
大家会看到这个联系我们的按钮
-
00:27:44.09 - 00:27:46.21 7
可以自由的返回
-
00:27:46.21 - 00:27:50.71 2
这样
-
00:27:50.71 - 00:27:51.31 7
您可以直接通过
-
00:27:51.41 - 00:27:53.01 8
我们了解更多信息
-
00:27:53.01 - 00:27:56.70 6
再次讲到这里
-
00:27:56.79 - 00:28:00.84 9
我不会深究这些细节
-
00:28:00.84 - 00:28:01.65 10
这并非本次介绍的目的
-
00:28:01.74 - 00:28:05.34 7
我就讲到这里吧
-
00:28:05.34 - 00:28:08.29 11
本次演示的内容就是这些
-
00:28:10.92 - 00:28:14.53 10
如果您对我提到的支持
-
00:28:14.53 - 00:28:14.93 14
这些不同功能的Ansys产品
-
00:28:15.01 - 00:28:18.62 5
十分感兴趣
-
00:28:18.62 - 00:28:19.99 6
可以点击这里
-
00:28:20.07 - 00:28:23.68 6
了解更多详情
-
00:28:23.68 - 00:28:25.21 11
我建议大家访问这个链接
-
00:28:25.21 - 00:28:29.15 4
获取更多
-
00:28:29.15 - 00:28:29.59 2
信息
-
00:28:29.68 - 00:28:33.27 10
这次不在我们的展位上
-
00:28:33.36 - 00:28:33.71 7
在我们的网站上
-
00:28:33.71 - 00:28:37.52 13
今天的概览部分就是这些内容
-
00:28:37.52 - 00:28:38.12 7
感谢大家的聆听
-
00:28:38.20 - 00:28:42.02 4
希望大家
-
00:28:42.10 - 00:28:45.92 47
在我们的展间享受 00:28:45.921 --> 00:28:46.515 所有配套资料
-
00:28:46.51 - 00:28:50.47 10
我只是向大家提了一下
-
00:28:50.47 - 00:28:50.82 4
在此希望
-
00:28:50.91 - 00:28:54.43 11
大家度过非常愉快的一天
-
00:28:54.52 - 00:28:58.48 7
也祝愿大家参加
-
00:28:58.48 - 00:28:59.89 22
Simulation World大会收获满满
-
00:28:59.89 - 00:29:04.96 9
再见 期待与您再会
-
00:00:00.00 - 00:00:03.09 44
Good morning good afternoon and good evening
-
00:00:03.09 - 00:00:04.12 15
welcome to this
-
00:00:04.19 - 00:00:07.29 46
industry best practice session on wind turbine
-
00:00:07.29 - 00:00:10.70 37
In this presentation we will share an
-
00:00:10.70 - 00:00:11.31 15
overview of the
-
00:00:11.39 - 00:00:14.81 45
key benefits of simulation and the capability
-
00:00:14.81 - 00:00:16.32 19
required to realize
-
00:00:16.40 - 00:00:19.82 43
this benefit during the development and the
-
00:00:19.82 - 00:00:21.19 17
operation of wind
-
00:00:21.19 - 00:00:25.21 50
turbines and wind farms through multiple example I
-
00:00:25.21 - 00:00:26.28 11
will try to
-
00:00:26.37 - 00:00:30.39 35
showcase to you how Ansys portfolio
-
00:00:30.39 - 00:00:31.64 20
solution are helping
-
00:00:31.73 - 00:00:35.75 39
our customer to design transformational
-
00:00:35.75 - 00:00:37.63 24
products we will finally
-
00:00:37.63 - 00:00:41.85 45
close the session with a summary of important
-
00:00:41.85 - 00:00:43.26 14
information on
-
00:00:43.35 - 00:00:47.58 43
how to learn more about this topic and also
-
00:00:47.58 - 00:00:47.96 5
about
-
00:00:48.05 - 00:00:52.28 45
some additional material available for you at
-
00:00:52.28 - 00:00:53.22 9
the booth
-
00:00:53.22 - 00:00:55.17 2
So
-
00:00:55.17 - 00:00:58.33 29
to start with I would like to
-
00:00:58.41 - 00:01:02.16 40
share with you a short reflection on the
-
00:01:02.16 - 00:01:03.57 21
engineering challenge
-
00:01:03.66 - 00:01:07.40 43
that wind turbine manufacturer and operator
-
00:01:07.40 - 00:01:09.07 21
are facing during the
-
00:01:09.07 - 00:01:12.89 42
design of the wind turbine but also during
-
00:01:12.89 - 00:01:13.56 10
the entire
-
00:01:13.65 - 00:01:17.47 46
life of these machines so to start with during
-
00:01:17.47 - 00:01:17.81 3
the
-
00:01:17.89 - 00:01:21.71 45
last decade we have seen that the diameter of
-
00:01:21.71 - 00:01:22.05 3
the
-
00:01:22.05 - 00:01:26.75 43
wind turbine rotors were getting bigger and
-
00:01:26.75 - 00:01:28.11 15
bigger both for
-
00:01:28.21 - 00:01:28.95 7
onshore
-
00:01:28.95 - 00:01:33.27 43
and offshore application so this huge rotor
-
00:01:33.27 - 00:01:35.00 20
dimension comes with
-
00:01:35.09 - 00:01:39.41 44
many engineering challenge mostly related to
-
00:01:39.41 - 00:01:42.01 29
structural reliability of the
-
00:01:42.10 - 00:01:46.43 38
of the blades but also related to some
-
00:01:46.43 - 00:01:47.10 13
logistics and
-
00:01:47.10 - 00:01:52.56 42
transportation challenges The second point
-
00:01:52.56 - 00:01:54.98 13
here in order
-
00:01:55.10 - 00:01:56.32 10
to capture
-
00:01:56.32 - 00:02:00.40 40
each time a larger amount of energy with
-
00:02:00.40 - 00:02:01.12 12
highest wind
-
00:02:01.21 - 00:02:05.29 44
speed for which the wind turbine is operated
-
00:02:05.29 - 00:02:06.02 8
this has
-
00:02:06.11 - 00:02:10.19 45
come with this has increased a lot during the
-
00:02:10.19 - 00:02:10.92 10
past years
-
00:02:10.92 - 00:02:15.00 45
and this is also associated not only with the
-
00:02:15.00 - 00:02:16.00 10
management
-
00:02:16.09 - 00:02:20.17 46
of very large aero loads due to this very high
-
00:02:20.27 - 00:02:24.35 44
speed but also this adds a lot of complexity
-
00:02:24.35 - 00:02:24.53 2
in
-
00:02:24.53 - 00:02:29.21 45
the design of the safety control loads of the
-
00:02:29.21 - 00:02:29.84 12
wind turbine
-
00:02:29.94 - 00:02:30.88 6
itself
-
00:02:30.88 - 00:02:35.30 45
As we are looking for increasing higher power
-
00:02:35.30 - 00:02:36.39 10
output I'm
-
00:02:36.48 - 00:02:38.65 21
stating here up to 12
-
00:02:38.65 - 00:02:39.04 7
million
-
00:02:39.04 - 00:02:41.99 26
watts per turbine sorry 12
-
00:02:42.09 - 00:02:46.52 41
megawatts per turbine I believe that this
-
00:02:46.52 - 00:02:47.60 14
come also with
-
00:02:47.60 - 00:02:51.70 37
a lot of challenge related to thermal
-
00:02:51.70 - 00:02:52.43 19
reliabilities as an
-
00:02:52.52 - 00:02:56.62 45
example all the electrical components such as
-
00:02:56.62 - 00:02:59.71 33
generators transformers converter
-
00:02:59.80 - 00:03:03.90 38
inside the nacelle or inside the tower
-
00:03:03.90 - 00:03:04.45 12
depending on
-
00:03:04.45 - 00:03:07.62 43
the design of the wind turbine so all these
-
00:03:07.62 - 00:03:08.25 10
components
-
00:03:08.32 - 00:03:11.49 41
are submitted to very high load which are
-
00:03:11.49 - 00:03:12.34 15
associated with
-
00:03:12.41 - 00:03:15.58 39
a lot of heat loss and this heat starts
-
00:03:15.58 - 00:03:15.72 8
becoming
-
00:03:15.72 - 00:03:19.31 43
very critical for the reliable operation of
-
00:03:19.31 - 00:03:21.30 26
such electrical components
-
00:03:21.38 - 00:03:21.54 2
so
-
00:03:21.54 - 00:03:25.41 45
we might might even to also add that in since
-
00:03:25.41 - 00:03:25.66 3
the
-
00:03:25.75 - 00:03:29.62 36
example of offshore application this
-
00:03:29.62 - 00:03:31.25 27
challenge is even bigger as
-
00:03:31.34 - 00:03:34.44 36
a wind turbine operates under severe
-
00:03:34.44 - 00:03:38.02 42
condition severe environment with a lot of
-
00:03:38.02 - 00:03:39.22 17
humidity and salt
-
00:03:39.30 - 00:03:42.89 40
all these had a lot of constraint to the
-
00:03:42.89 - 00:03:43.05 6
design
-
00:03:43.13 - 00:03:46.72 42
of the nacelle and the tower under ambient
-
00:03:46.72 - 00:03:47.20 12
conditioning
-
00:03:47.20 - 00:03:51.39 38
Now moving on outside somehow the wind
-
00:03:51.39 - 00:03:52.14 14
turbine in the
-
00:03:52.23 - 00:03:56.43 42
past 20-25 years many of the good location
-
00:03:56.43 - 00:03:56.90 8
where to
-
00:03:56.99 - 00:04:01.19 35
install wind farm have been already
-
00:04:01.19 - 00:04:02.50 15
used and filled
-
00:04:02.50 - 00:04:06.58 45
with a lot of wind turbines and right now the
-
00:04:06.67 - 00:04:10.85 42
challenge is to design a proper layout for
-
00:04:10.85 - 00:04:11.59 12
wind farm in
-
00:04:11.68 - 00:04:15.85 43
remote location we can think about mountain
-
00:04:15.85 - 00:04:17.25 16
range or perhaps
-
00:04:17.25 - 00:04:21.07 44
designing proper windturbine sorry wind farm
-
00:04:21.07 - 00:04:23.11 24
layout closer and closer
-
00:04:23.20 - 00:04:27.02 38
to the city closer to urban areas this
-
00:04:27.02 - 00:04:27.36 5
comes
-
00:04:27.45 - 00:04:31.27 36
with a couple of challenge that both
-
00:04:31.27 - 00:04:32.46 20
manufacturer of wind
-
00:04:32.46 - 00:04:36.59 44
turbine and operator need to solve first the
-
00:04:36.59 - 00:04:37.68 15
noise footprint
-
00:04:37.78 - 00:04:41.17 37
related to the wind farm and secondly
-
00:04:41.17 - 00:04:44.20 44
the optimization of the position of the wind
-
00:04:44.20 - 00:04:45.15 14
turbine inside
-
00:04:45.22 - 00:04:48.25 42
the wind farm for example making sure that
-
00:04:48.25 - 00:04:48.66 8
the wake
-
00:04:48.73 - 00:04:51.76 43
of one row of wind turbine is not impacting
-
00:04:51.76 - 00:04:51.90 4
that
-
00:04:51.90 - 00:04:55.68 38
much the performance of the second row
-
00:04:55.68 - 00:04:58.63 40
Good well up to now I I just pointed out
-
00:04:58.70 - 00:05:02.02 39
some challenge that were related to the
-
00:05:02.02 - 00:05:02.76 10
design and
-
00:05:02.83 - 00:05:06.15 46
the installation of the wind turbine but there
-
00:05:06.15 - 00:05:06.74 7
is also
-
00:05:06.74 - 00:05:10.42 41
a whole additional set of challenges that
-
00:05:10.42 - 00:05:11.23 13
come with the
-
00:05:11.31 - 00:05:13.44 26
operation of the wind farm
-
00:05:13.44 - 00:05:16.72 31
I mean the wind turbine is this
-
00:05:16.72 - 00:05:17.38 16
machine they are
-
00:05:17.45 - 00:05:20.74 45
here to stay very long more than 30 years and
-
00:05:20.82 - 00:05:22.72 26
the maintenance operations
-
00:05:22.72 - 00:05:26.78 40
are predominant in the total cost of the
-
00:05:26.78 - 00:05:27.68 14
machine itself
-
00:05:27.77 - 00:05:31.75 44
during its entire life so if I here also try
-
00:05:31.84 - 00:05:33.92 23
to just take an example
-
00:05:33.92 - 00:05:38.92 44
If a failure occurs somewhere on an offshore
-
00:05:38.92 - 00:05:40.26 12
wind turbine
-
00:05:40.26 - 00:05:43.18 33
in addition to the loss of energy
-
00:05:43.18 - 00:05:43.57 6
during
-
00:05:43.64 - 00:05:45.20 24
a certain amount of time
-
00:05:45.20 - 00:05:49.05 31
there is a huge cost associated
-
00:05:49.05 - 00:05:49.47 6
to the
-
00:05:49.56 - 00:05:53.41 45
fact that an operator needs to go on site and
-
00:05:53.50 - 00:05:57.35 44
to repair a very costly part so the question
-
00:05:57.35 - 00:05:57.69 4
then
-
00:05:57.69 - 00:06:01.78 51
is that what the industry the wind turbine industry
-
00:06:01.78 - 00:06:02.69 10
would like
-
00:06:02.78 - 00:06:06.87 34
to solve is can we anticipate such
-
00:06:06.87 - 00:06:07.06 7
failure
-
00:06:07.06 - 00:06:11.07 40
Is there a way to predict when I need to
-
00:06:11.17 - 00:06:15.39 43
replace specific components on wind turbine
-
00:06:15.39 - 00:06:19.52 31
Well all this challenge I would
-
00:06:19.52 - 00:06:19.89 7
like to
-
00:06:19.98 - 00:06:24.12 44
spend some minutes now trying to show to you
-
00:06:24.12 - 00:06:24.31 2
in
-
00:06:24.40 - 00:06:28.54 44
our Ansys this is helping to solve all these
-
00:06:28.54 - 00:06:29.00 11
engineering
-
00:06:29.00 - 00:06:33.17 30
challenge But I would like you
-
00:06:33.17 - 00:06:33.82 6
not to
-
00:06:33.91 - 00:06:37.99 44
take my word for granted and I would like to
-
00:06:38.08 - 00:06:40.50 26
give you some proof points
-
00:06:40.50 - 00:06:44.93 37
and I will try to refer to what Ansys
-
00:06:44.93 - 00:06:45.23 8
customer
-
00:06:45.33 - 00:06:48.78 35
are achieving by using our solution
-
00:06:48.78 - 00:06:52.79 40
Here are three examples the first one is
-
00:06:52.79 - 00:06:53.69 14
really related
-
00:06:53.78 - 00:06:57.79 42
to the capacity of one of our customers to
-
00:06:57.79 - 00:06:58.15 6
double
-
00:06:58.24 - 00:07:02.26 41
double the power output of a generator by
-
00:07:02.26 - 00:07:02.79 9
using our
-
00:07:02.79 - 00:07:07.24 43
multiphysics solution design the second one
-
00:07:07.24 - 00:07:09.11 20
is this time related
-
00:07:09.21 - 00:07:09.80 6
to 80%
-
00:07:09.80 - 00:07:14.90 45
saving in cost of the material for the design
-
00:07:14.90 - 00:07:15.24 2
of
-
00:07:15.36 - 00:07:17.29 17
a very innovative
-
00:07:17.29 - 00:07:21.92 36
blade for a small wind turbine urban
-
00:07:21.92 - 00:07:22.74 15
wind turbine in
-
00:07:22.85 - 00:07:27.48 43
that case and finally this one is not about
-
00:07:27.48 - 00:07:27.99 6
design
-
00:07:28.10 - 00:07:29.44 13
it's about 5%
-
00:07:29.44 - 00:07:34.40 29
increase in energy production
-
00:07:34.40 - 00:07:36.49 23
which is a huge revenue
-
00:07:36.60 - 00:07:37.27 6
uplift
-
00:07:37.27 - 00:07:41.40 32
which is associated to the usage
-
00:07:41.40 - 00:07:42.60 14
of our digital
-
00:07:42.69 - 00:07:46.83 39
twin solution for an entire park for an
-
00:07:46.83 - 00:07:47.38 11
entire farm
-
00:07:47.47 - 00:07:48.58 15
of wind turbine
-
00:07:48.58 - 00:07:54.31 36
So these are the types of quantified
-
00:07:54.31 - 00:07:55.46 13
outcomes that
-
00:07:55.59 - 00:08:01.33 40
you can expect when you are working with
-
00:08:01.33 - 00:08:02.61 14
Ansys solution
-
00:08:02.61 - 00:08:07.16 37
Now more specifically I would like to
-
00:08:07.16 - 00:08:07.87 11
provide you
-
00:08:07.97 - 00:08:09.09 11
an overview
-
00:08:09.09 - 00:08:13.15 42
of the key benefits that Ansys is bringing
-
00:08:13.15 - 00:08:16.87 36
to achieve such outcome OK along the
-
00:08:16.87 - 00:08:18.45 27
following capabilities that
-
00:08:18.53 - 00:08:22.26 36
we identified for you 6 capabilities
-
00:08:22.26 - 00:08:24.24 32
engineering capabilities that we
-
00:08:24.33 - 00:08:27.81 39
would like to go a bit deeper right now
-
00:08:27.81 - 00:08:32.90 47
first rotor aerodynamics and acoustics we'll go
-
00:08:32.90 - 00:08:34.25 12
then towards
-
00:08:34.37 - 00:08:39.46 36
some specific application related to
-
00:08:39.46 - 00:08:40.48 17
structural design
-
00:08:40.48 - 00:08:44.10 41
n nacelle in tower also for the rotor and
-
00:08:44.19 - 00:08:47.98 45
all manufacturing application related to this
-
00:08:47.98 - 00:08:50.26 26
technologies then we'll go
-
00:08:50.34 - 00:08:53.89 43
through power generation and transformation
-
00:08:53.89 - 00:08:59.30 43
and then moving outside of the wind turbine
-
00:08:59.30 - 00:09:00.26 12
itself going
-
00:09:00.38 - 00:09:04.23 32
into the design of the wind farm
-
00:09:04.23 - 00:09:08.60 43
plus finally on two specific topics related
-
00:09:08.60 - 00:09:09.09 6
to the
-
00:09:09.09 - 00:09:13.09 38
development of control system and safe
-
00:09:13.09 - 00:09:14.33 16
operation of the
-
00:09:14.42 - 00:09:18.42 39
wind turbine and finally going into the
-
00:09:18.42 - 00:09:20.29 27
condition based maintenance
-
00:09:20.38 - 00:09:24.38 44
capabilities and utilization of digital twin
-
00:09:24.38 - 00:09:26.60 25
to monitor the activities
-
00:09:26.60 - 00:09:29.17 30
of an entire set of wind farms
-
00:09:31.73 - 00:09:37.08 41
So let me now go for you through this six
-
00:09:37.21 - 00:09:39.30 16
different topics
-
00:09:39.30 - 00:09:42.58 40
and I would like to start with the rotor
-
00:09:42.58 - 00:09:42.94 12
aerodynamics
-
00:09:43.01 - 00:09:46.30 44
and acoustics the engineering challenge that
-
00:09:46.30 - 00:09:48.41 30
wind turbine manufacturers are
-
00:09:48.48 - 00:09:51.26 38
trying to solve here are the following
-
00:09:51.26 - 00:09:56.06 41
The first one is related to being able to
-
00:09:56.06 - 00:09:56.17 4
have
-
00:09:56.28 - 00:10:01.08 45
a good design that is able to capture as much
-
00:10:01.19 - 00:10:03.97 26
as possible of wind energy
-
00:10:03.97 - 00:10:07.97 43
problems challenge they are trying to solve
-
00:10:07.97 - 00:10:09.48 18
together with this
-
00:10:09.57 - 00:10:12.78 38
design is operating in harsh condition
-
00:10:12.78 - 00:10:15.77 45
There is a degradation that is related to the
-
00:10:15.77 - 00:10:16.43 9
accretion
-
00:10:16.50 - 00:10:19.49 44
of ice on the blade I also mentioned earlier
-
00:10:19.49 - 00:10:19.75 4
that
-
00:10:19.82 - 00:10:22.81 40
the noise footprint is something that is
-
00:10:22.81 - 00:10:23.60 16
critical when we
-
00:10:23.60 - 00:10:27.27 40
are looking for Installation of the wind
-
00:10:27.27 - 00:10:28.17 17
turbine and there
-
00:10:28.25 - 00:10:31.91 42
is also submitted to certification somehow
-
00:10:31.91 - 00:10:33.38 21
and finally these big
-
00:10:33.46 - 00:10:37.13 40
blades big rotors are submitted to a lot
-
00:10:37.13 - 00:10:37.29 2
of
-
00:10:37.29 - 00:10:40.89 44
deformation due to the aerodynamic loads and
-
00:10:40.89 - 00:10:41.92 13
this needs to
-
00:10:42.00 - 00:10:45.60 40
be taken into account also in the design
-
00:10:45.60 - 00:10:46.15 11
process how
-
00:10:46.23 - 00:10:49.83 37
Ansys is helping well we're providing
-
00:10:49.83 - 00:10:51.34 22
capability to simulate
-
00:10:51.34 - 00:10:55.56 39
the entire 3 dimensional field for aero
-
00:10:55.56 - 00:10:57.24 22
acoustics aerodynamics
-
00:10:57.33 - 00:11:01.55 42
we have vertical solution dedicated to the
-
00:11:01.55 - 00:11:03.04 18
calculation of ice
-
00:11:03.14 - 00:11:07.35 43
accretion on the blade and an open platform
-
00:11:07.35 - 00:11:08.01 8
on which
-
00:11:08.01 - 00:11:11.66 44
we can do coupling we can calculate coupling
-
00:11:11.66 - 00:11:12.06 6
effect
-
00:11:12.15 - 00:11:15.80 44
between the deformation of the blade and the
-
00:11:15.80 - 00:11:17.18 16
aerodynamic load
-
00:11:17.26 - 00:11:20.91 44
some example of output you can get from this
-
00:11:20.91 - 00:11:21.32 5
Ansys
-
00:11:21.32 - 00:11:24.95 44
capabilities while you will manage to get an
-
00:11:24.95 - 00:11:26.08 14
accurate power
-
00:11:26.16 - 00:11:29.79 45
curve estimation early in the design phase of
-
00:11:29.79 - 00:11:30.59 9
the rotor
-
00:11:30.68 - 00:11:34.30 39
and for sure for different type of wind
-
00:11:34.30 - 00:11:34.71 6
regime
-
00:11:34.71 - 00:11:39.08 43
so really along all the power curve of your
-
00:11:39.08 - 00:11:39.77 12
wind turbine
-
00:11:39.77 - 00:11:43.14 46
Specifically calculating some force and moment
-
00:11:43.14 - 00:11:44.95 31
acting on the wind turbine that
-
00:11:45.02 - 00:11:48.40 32
will be useful to then calculate
-
00:11:48.40 - 00:11:49.07 14
deformation of
-
00:11:49.15 - 00:11:49.83 9
the blade
-
00:11:49.83 - 00:11:54.86 38
ice accretion could be calculated as I
-
00:11:54.86 - 00:11:55.98 18
mentioned and this
-
00:11:56.10 - 00:12:01.13 42
will help you to design possible system to
-
00:12:01.13 - 00:12:02.14 11
clean their
-
00:12:02.25 - 00:12:07.29 42
eyes or even to even imagine some anti-ice
-
00:12:07.29 - 00:12:07.85 6
design
-
00:12:07.85 - 00:12:12.52 44
system with some heating pad Finally we will
-
00:12:12.52 - 00:12:13.24 7
be able
-
00:12:13.35 - 00:12:17.39 39
to you will be able really to to in the
-
00:12:17.50 - 00:12:22.16 42
context of certification to anticipate the
-
00:12:22.16 - 00:12:23.82 18
noise level the DB
-
00:12:23.82 - 00:12:28.82 41
level around the wind turbine and so pass
-
00:12:28.82 - 00:12:29.26 3
the
-
00:12:29.37 - 00:12:34.37 40
qualification criteria also early in the
-
00:12:34.37 - 00:12:35.82 12
design stage
-
00:12:35.82 - 00:12:39.12 45
Moving to the second part which is related to
-
00:12:39.12 - 00:12:39.49 4
more
-
00:12:39.56 - 00:12:42.86 39
the structural design of blade nacelle
-
00:12:42.86 - 00:12:45.06 37
and towers here engineering challenge
-
00:12:45.14 - 00:12:45.95 11
are related
-
00:12:45.95 - 00:12:50.20 44
first and foremost to the cost reduction and
-
00:12:50.20 - 00:12:50.95 8
the mass
-
00:12:51.05 - 00:12:55.30 45
reduction of this component material is a key
-
00:12:55.30 - 00:12:56.33 10
topic when
-
00:12:56.43 - 00:13:00.68 38
we're talking here about mass and cost
-
00:13:00.68 - 00:13:02.10 21
reduction and finding
-
00:13:02.10 - 00:13:06.00 45
the right material for the right wind turbine
-
00:13:06.00 - 00:13:07.30 14
application is
-
00:13:07.39 - 00:13:11.30 42
a challenge of all structural engineers or
-
00:13:11.30 - 00:13:13.55 28
structural department within
-
00:13:13.64 - 00:13:17.55 45
the wind turbine manufacturing community this
-
00:13:17.55 - 00:13:19.46 23
is also tightly related
-
00:13:19.46 - 00:13:22.32 45
to technology related to composite when we're
-
00:13:22.32 - 00:13:23.46 19
talking about blade
-
00:13:23.52 - 00:13:26.39 44
composite is something an advanced composite
-
00:13:26.39 - 00:13:28.42 32
characteristic is something that
-
00:13:28.48 - 00:13:29.76 20
could be a challenge
-
00:13:29.76 - 00:13:33.52 44
for blade designer and finally it's not only
-
00:13:33.52 - 00:13:34.53 12
about design
-
00:13:34.61 - 00:13:38.37 36
for performance it's also design for
-
00:13:38.37 - 00:13:39.96 28
logistics it is designed for
-
00:13:40.05 - 00:13:43.81 43
transportation and all these components all
-
00:13:43.81 - 00:13:44.07 4
this
-
00:13:44.07 - 00:13:47.61 41
business critical application needs to be
-
00:13:47.61 - 00:13:49.02 21
taken into account at
-
00:13:49.10 - 00:13:50.05 12
design level
-
00:13:50.05 - 00:13:52.93 34
How Ansys is helping to solve this
-
00:13:52.93 - 00:13:53.19 9
challenge
-
00:13:53.19 - 00:13:57.01 35
We are providing a unified material
-
00:13:57.01 - 00:13:58.54 27
management system which can
-
00:13:58.62 - 00:14:02.44 43
handle very complex loads analysis and even
-
00:14:02.44 - 00:14:04.91 30
including some characteristics
-
00:14:04.99 - 00:14:06.27 15
about logistics
-
00:14:06.27 - 00:14:09.90 36
In terms of efficiency of the of the
-
00:14:09.90 - 00:14:10.87 20
different structural
-
00:14:10.95 - 00:14:14.58 41
component we have associated multiphysics
-
00:14:14.58 - 00:14:14.99 8
workflow
-
00:14:14.99 - 00:14:19.94 41
dedicated vertical solution for composite
-
00:14:19.94 - 00:14:20.50 8
material
-
00:14:20.50 - 00:14:23.91 40
that are spanning from the design of the
-
00:14:23.91 - 00:14:24.60 15
blades themself
-
00:14:24.67 - 00:14:28.09 44
up to the manufacturing process of the blade
-
00:14:28.09 - 00:14:28.54 6
so you
-
00:14:28.62 - 00:14:32.04 39
can take into account all these process
-
00:14:32.04 - 00:14:32.95 17
within one single
-
00:14:32.95 - 00:14:36.54 36
solution and this is embedded into a
-
00:14:36.54 - 00:14:37.34 18
framework which is
-
00:14:37.42 - 00:14:41.01 44
enabling to do some optimization of all this
-
00:14:41.01 - 00:14:42.61 20
parameter altogether
-
00:14:42.69 - 00:14:44.61 24
some output you will get
-
00:14:44.61 - 00:14:48.02 43
The aerodynamic load scenario that you will
-
00:14:48.02 - 00:14:48.48 7
be able
-
00:14:48.55 - 00:14:51.90 41
to simulate is huge you will also be able
-
00:14:51.97 - 00:14:55.39 48
to take into account some wave load for offshore
-
00:14:55.39 - 00:14:56.53 14
characteristic
-
00:14:56.53 - 00:14:59.95 44
in the foundation of the wind turbine or the
-
00:14:59.95 - 00:15:00.48 7
jackets
-
00:15:00.56 - 00:15:03.75 42
that you are using and you will be able to
-
00:15:03.82 - 00:15:07.24 44
be able to anticipate that very early in the
-
00:15:07.24 - 00:15:07.70 6
design
-
00:15:07.70 - 00:15:11.51 40
stage First time right composite molding
-
00:15:11.51 - 00:15:13.55 28
manufacturing no mistake you
-
00:15:13.63 - 00:15:17.19 42
will save a lot of prototype in the in the
-
00:15:17.28 - 00:15:21.09 42
manufacturing stage and massive weight and
-
00:15:21.09 - 00:15:23.12 27
material cost reduction can
-
00:15:23.12 - 00:15:26.70 45
be expected and we have some proof points for
-
00:15:26.70 - 00:15:27.09 4
that
-
00:15:27.17 - 00:15:29.32 27
with some relevant examples
-
00:15:31.40 - 00:15:35.21 43
Moving now to let's say the more electrical
-
00:15:35.21 - 00:15:36.57 17
component related
-
00:15:36.65 - 00:15:40.47 44
topic everything related to power generation
-
00:15:40.47 - 00:15:43.52 38
and transformation typical engineering
-
00:15:43.61 - 00:15:47.42 45
challenge we want to highlight here how about
-
00:15:47.42 - 00:15:48.69 14
the increasing
-
00:15:48.69 - 00:15:52.70 45
power density to meet the growing demand from
-
00:15:52.70 - 00:15:53.68 10
the market
-
00:15:53.77 - 00:15:57.77 45
improving the grid stability and interconnect
-
00:15:57.77 - 00:15:58.49 7
control
-
00:15:58.49 - 00:16:02.52 45
and what about the extra energy that the grid
-
00:16:02.52 - 00:16:03.15 6
cannot
-
00:16:03.24 - 00:16:07.27 39
get how about the storage the batteries
-
00:16:07.27 - 00:16:08.07 14
perhaps of the
-
00:16:08.16 - 00:16:12.20 35
unused power these are all relevant
-
00:16:12.20 - 00:16:14.35 40
challenge that wind turbine manufacturer
-
00:16:14.35 - 00:16:18.97 39
and operator operator system are facing
-
00:16:18.97 - 00:16:20.52 14
days and night
-
00:16:20.52 - 00:16:24.55 44
Ansys capability addressing the challenge of
-
00:16:24.55 - 00:16:26.52 21
the following we have
-
00:16:26.61 - 00:16:30.65 42
a comprehensive electro-mechanical meaning
-
00:16:30.65 - 00:16:33.52 34
multi physics capability to design
-
00:16:33.61 - 00:16:34.51 10
generators
-
00:16:34.51 - 00:16:38.81 41
At the grid level a system circuit design
-
00:16:38.81 - 00:16:39.00 2
is
-
00:16:39.10 - 00:16:43.41 39
able to be done within Ansys to predict
-
00:16:43.41 - 00:16:44.65 18
system performance
-
00:16:44.75 - 00:16:47.43 28
and varying electrical loads
-
00:16:47.43 - 00:16:51.76 42
what you will get out of this Ansys soluti
-
00:16:51.76 - 00:16:51.95 7
systeon
-
00:16:52.04 - 00:16:54.55 26
you will be able to verify
-
00:16:54.55 - 00:16:58.70 32
the generator efficiency and its
-
00:16:58.70 - 00:16:58.89 11
performance
-
00:16:58.89 - 00:17:02.38 45
taking into account system components such as
-
00:17:02.38 - 00:17:03.62 15
gears blade and
-
00:17:03.69 - 00:17:07.18 44
also electrical cabling so not only focusing
-
00:17:07.18 - 00:17:08.50 16
on the generator
-
00:17:08.58 - 00:17:11.30 35
itself but everything all around it
-
00:17:11.30 - 00:17:14.99 43
You will be able to anticipate what will be
-
00:17:14.99 - 00:17:15.16 3
the
-
00:17:15.24 - 00:17:18.93 39
generator temperature and also acoustic
-
00:17:18.93 - 00:17:21.07 31
capabilities that will help you
-
00:17:21.15 - 00:17:24.85 38
design a proper cooling system for the
-
00:17:24.85 - 00:17:25.18 10
generators
-
00:17:25.18 - 00:17:29.16 41
Finally power conversion circuitry at the
-
00:17:29.16 - 00:17:31.02 24
component level but also
-
00:17:31.11 - 00:17:35.09 37
at the system level will allow you to
-
00:17:35.18 - 00:17:39.16 40
do the sizing and also the design of the
-
00:17:39.16 - 00:17:39.43 7
control
-
00:17:39.43 - 00:17:41.98 29
software for this application
-
00:17:45.31 - 00:17:49.00 43
we are now moving to the fourth topic which
-
00:17:49.08 - 00:17:52.69 43
is related to wind farm so we are moving we
-
00:17:52.78 - 00:17:56.56 38
are zooming out of the turbine and now
-
00:17:56.56 - 00:17:56.89 10
looking at
-
00:17:56.89 - 00:18:00.14 38
the wind farm itself and typically the
-
00:18:00.14 - 00:18:01.65 28
engineering departments that
-
00:18:01.72 - 00:18:04.97 44
we are looking and the companies that we are
-
00:18:04.97 - 00:18:05.62 15
looking at wind
-
00:18:05.69 - 00:18:08.93 44
farm might be very different compared to the
-
00:18:08.93 - 00:18:09.94 14
engineers that
-
00:18:09.94 - 00:18:13.50 39
look at the different component we just
-
00:18:13.50 - 00:18:14.29 15
analyzed in the
-
00:18:14.37 - 00:18:17.93 40
three previous slide typically these are
-
00:18:17.93 - 00:18:19.43 23
people that are looking
-
00:18:19.51 - 00:18:23.07 45
for energy prediction on large scales typical
-
00:18:23.07 - 00:18:24.50 17
challenge here is
-
00:18:24.50 - 00:18:27.88 38
to anticipate the loss due to the wake
-
00:18:27.88 - 00:18:32.06 37
inside the farm meaning the weight of
-
00:18:32.06 - 00:18:33.27 17
different turbine
-
00:18:33.36 - 00:18:37.55 42
within the farm and also all the challenge
-
00:18:37.55 - 00:18:38.29 10
related to
-
00:18:38.38 - 00:18:42.57 44
where to locate this farm can we locate this
-
00:18:42.57 - 00:18:43.03 5
close
-
00:18:43.03 - 00:18:47.14 42
to a city can we locate a wind farm around
-
00:18:47.24 - 00:18:51.64 42
a forest for example these are the type of
-
00:18:51.64 - 00:18:52.43 12
problem that
-
00:18:52.53 - 00:18:55.76 33
wind sitting engineers are facing
-
00:18:55.76 - 00:18:59.61 40
What are we bringing what Ansys is bring
-
00:18:59.61 - 00:19:00.30 4
well
-
00:19:00.38 - 00:19:04.24 46
knowing that these engineers are not expert in
-
00:19:04.24 - 00:19:05.44 14
fluid dynamics
-
00:19:05.52 - 00:19:09.38 45
we developed an automated workflow a specific
-
00:19:09.38 - 00:19:11.78 29
application which allows them
-
00:19:11.78 - 00:19:16.29 37
with very low amount of experience in
-
00:19:16.29 - 00:19:18.39 28
computational fluid dynamics
-
00:19:18.49 - 00:19:21.80 33
to be able with our best practice
-
00:19:21.80 - 00:19:25.45 41
to derive full simulation for a wind farm
-
00:19:25.45 - 00:19:26.50 16
including weight
-
00:19:26.58 - 00:19:30.23 40
loss including overall assessment of the
-
00:19:30.23 - 00:19:31.61 21
energy that is coming
-
00:19:31.69 - 00:19:35.18 44
yearly from this wind farm this is a kind of
-
00:19:35.18 - 00:19:39.03 45
output they will get so I just mentioned this
-
00:19:39.12 - 00:19:43.06 45
so the detail assessment of the farm behavior
-
00:19:43.06 - 00:19:44.02 10
with under
-
00:19:44.11 - 00:19:47.53 39
specific wind condition speed direction
-
00:19:47.53 - 00:19:51.10 40
and even to do some cost prediction with
-
00:19:51.10 - 00:19:51.42 8
existing
-
00:19:51.42 - 00:19:56.30 45
data that you might have gathered on specific
-
00:19:56.30 - 00:19:57.38 4
mast
-
00:19:57.49 - 00:19:59.34 17
sorry on location
-
00:19:59.34 - 00:20:02.90 45
Overall the expectation and what you will get
-
00:20:02.90 - 00:20:03.84 11
the outcome
-
00:20:03.92 - 00:20:07.40 44
you will get will have to have the best wind
-
00:20:07.48 - 00:20:11.04 44
turbine layout for the selected location you
-
00:20:11.04 - 00:20:12.15 14
are working on
-
00:20:12.15 - 00:20:15.69 40
and at the same time maximize the energy
-
00:20:15.69 - 00:20:15.85 6
output
-
00:20:18.63 - 00:20:22.34 44
OK moving now on control system and software
-
00:20:22.34 - 00:20:24.08 21
engineering challenge
-
00:20:24.16 - 00:20:27.88 44
that wind mine manufacturers are expected to
-
00:20:27.88 - 00:20:29.04 13
face here are
-
00:20:29.12 - 00:20:32.84 42
the following this is our control software
-
00:20:32.84 - 00:20:33.58 9
I mean is
-
00:20:33.58 - 00:20:37.44 25
our control with a lot of
-
00:20:37.44 - 00:20:37.78 9
standards
-
00:20:37.87 - 00:20:41.47 47
and there is a lot of standards rated to safety
-
00:20:41.55 - 00:20:45.41 36
safe operation of the control itself
-
00:20:45.41 - 00:20:47.81 35
so controlling in general typically
-
00:20:47.81 - 00:20:51.56 41
we spend a lot of effort to integrate the
-
00:20:51.56 - 00:20:52.06 9
different
-
00:20:52.15 - 00:20:55.90 40
best practice they have internally about
-
00:20:55.90 - 00:20:57.57 24
control software and the
-
00:20:57.65 - 00:21:01.41 36
integration of this effort should be
-
00:21:01.41 - 00:21:03.08 28
compatible with the existing
-
00:21:03.08 - 00:21:07.82 42
safety standards Plus complex wind turbine
-
00:21:07.82 - 00:21:10.56 29
control and system monitoring
-
00:21:10.56 - 00:21:13.67 41
are more and more the case compared to 10
-
00:21:13.67 - 00:21:13.81 5
years
-
00:21:13.88 - 00:21:17.00 45
ago because the operation of the wind turbine
-
00:21:17.00 - 00:21:18.17 17
are also expected
-
00:21:18.24 - 00:21:21.22 43
to I mean the wind turbines are expected to
-
00:21:21.22 - 00:21:24.11 30
work in more severe conditions
-
00:21:24.11 - 00:21:28.44 42
Ansys is bringing an integrated functional
-
00:21:28.44 - 00:21:30.57 24
safety analysis platform
-
00:21:30.66 - 00:21:35.00 44
that will allow control engineer to work not
-
00:21:35.00 - 00:21:35.87 8
only and
-
00:21:35.96 - 00:21:40.30 40
to make sure that not only their control
-
00:21:40.30 - 00:21:40.79 9
system is
-
00:21:40.79 - 00:21:45.04 38
safe but also are corresponding to the
-
00:21:45.04 - 00:21:46.27 19
software design and
-
00:21:46.36 - 00:21:50.34 42
requirements that has been defined upfront
-
00:21:50.34 - 00:21:54.30 38
Theywill be also able to do some model
-
00:21:54.30 - 00:21:54.39 5
level
-
00:21:54.48 - 00:21:58.45 36
testing at early in the design stage
-
00:21:58.45 - 00:21:58.53 2
of
-
00:21:58.62 - 00:22:02.59 40
the controller and not only wait to have
-
00:22:02.59 - 00:22:03.21 11
their model
-
00:22:03.21 - 00:22:07.61 43
to be compiled and are coded into the final
-
00:22:07.61 - 00:22:08.50 10
controller
-
00:22:08.50 - 00:22:13.20 31
Example of output the first and
-
00:22:13.20 - 00:22:13.93 12
foremost one
-
00:22:14.03 - 00:22:15.92 18
is at our solution
-
00:22:15.92 - 00:22:19.45 44
Is bug free so the output you can expect and
-
00:22:19.53 - 00:22:22.66 39
you can expect on your team it's a huge
-
00:22:22.66 - 00:22:27.02 45
reduction of effort rated to the verification
-
00:22:27.02 - 00:22:28.19 11
of the code
-
00:22:28.28 - 00:22:32.07 39
itself and your code will be by default
-
00:22:32.07 - 00:22:36.15 44
compliant with IEC 61508 certification which
-
00:22:36.15 - 00:22:38.24 30
is applicable for wind turbine
-
00:22:38.33 - 00:22:42.41 39
so we made sure from the very beginning
-
00:22:42.41 - 00:22:42.59 4
that
-
00:22:42.68 - 00:22:46.77 43
code generator that we are providing to you
-
00:22:46.77 - 00:22:47.77 12
is certified
-
00:22:47.77 - 00:22:52.53 43
automatically for your specific application
-
00:22:52.53 - 00:22:56.48 38
Finally last but not least this one is
-
00:22:56.48 - 00:22:56.83 10
related to
-
00:22:56.92 - 00:23:00.87 43
predictive maintenance of the wind farm and
-
00:23:00.87 - 00:23:02.36 18
the application of
-
00:23:02.45 - 00:23:06.40 43
digital Twins engineerings' challenge could
-
00:23:06.40 - 00:23:08.77 28
be the following fatigue and
-
00:23:08.77 - 00:23:12.19 30
the cost associated to fatigue
-
00:23:12.19 - 00:23:15.76 42
is some things that need to be anticipated
-
00:23:15.76 - 00:23:16.39 10
during the
-
00:23:16.47 - 00:23:18.62 30
whole life of the wind turbine
-
00:23:18.62 - 00:23:21.60 36
Others unplanned down time sorry and
-
00:23:21.60 - 00:23:22.66 15
the maintenance
-
00:23:22.73 - 00:23:25.71 42
costs are something also introduced at the
-
00:23:25.71 - 00:23:26.71 17
very beginning of
-
00:23:26.77 - 00:23:29.76 32
this presentation and really are
-
00:23:29.76 - 00:23:30.62 17
driving the total
-
00:23:30.62 - 00:23:33.97 45
cost of the wind turbine itself it's not only
-
00:23:33.97 - 00:23:34.04 5
about
-
00:23:34.12 - 00:23:37.47 44
design it's much more about the operation of
-
00:23:37.47 - 00:23:38.21 8
the wind
-
00:23:38.29 - 00:23:38.44 7
turbine
-
00:23:38.44 - 00:23:41.33 40
Also being able to anticipate nonoptimal
-
00:23:41.33 - 00:23:42.42 21
operation of the wind
-
00:23:42.49 - 00:23:45.38 42
turbine if there is something occurring at
-
00:23:45.38 - 00:23:46.54 20
component level here
-
00:23:46.61 - 00:23:49.50 41
the example of yaw misalignment these are
-
00:23:49.50 - 00:23:50.27 11
the typical
-
00:23:50.27 - 00:23:53.76 44
challenge that a wind turbine operator would
-
00:23:53.76 - 00:23:55.01 18
like to anticipate
-
00:23:55.01 - 00:23:58.61 39
Ansys is bringing capabilities modeling
-
00:23:58.61 - 00:24:02.21 46
capabilities simulation capabilities including
-
00:24:02.21 - 00:24:02.29 2
3D
-
00:24:02.37 - 00:24:05.89 39
so 3 dimensional reduced order modeling
-
00:24:05.89 - 00:24:10.78 37
that will allow fast and I insist and
-
00:24:10.78 - 00:24:12.20 20
accurate calculation
-
00:24:12.31 - 00:24:12.53 2
of
-
00:24:12.53 - 00:24:16.80 41
fatigue stress point and also you will be
-
00:24:16.80 - 00:24:17.18 7
able to
-
00:24:17.28 - 00:24:21.56 41
define virtual sensor within your digital
-
00:24:21.56 - 00:24:22.98 19
twin you won't need
-
00:24:23.08 - 00:24:27.36 38
to equip your wind turbine with a huge
-
00:24:27.36 - 00:24:28.02 9
amount of
-
00:24:28.02 - 00:24:32.24 43
physical sensor but you can accurately rely
-
00:24:32.24 - 00:24:33.56 15
on this virtual
-
00:24:33.65 - 00:24:34.22 6
sensor
-
00:24:34.22 - 00:24:38.09 44
Example for outputs of our solution you will
-
00:24:38.09 - 00:24:38.69 7
be able
-
00:24:38.78 - 00:24:42.65 38
to continuously monitor the structural
-
00:24:42.65 - 00:24:44.54 29
response of your wind turbine
-
00:24:44.63 - 00:24:48.50 36
and have all this information almost
-
00:24:48.50 - 00:24:50.22 25
instantaneously you won't
-
00:24:50.22 - 00:24:53.84 42
have to wait for a couple of weeks to have
-
00:24:53.92 - 00:24:57.80 34
any report on that it will be live
-
00:24:57.80 - 00:24:57.97 11
information
-
00:24:58.06 - 00:25:01.94 34
real time prediction that's what I
-
00:25:01.94 - 00:25:02.54 7
mean of
-
00:25:02.54 - 00:25:04.44 10
the actual
-
00:25:04.44 - 00:25:07.82 47
behavior of the wind turbine but also about the
-
00:25:07.82 - 00:25:08.95 14
remaining life
-
00:25:09.03 - 00:25:12.41 47
of each individual wind turbine this will allow
-
00:25:12.41 - 00:25:12.86 6
you to
-
00:25:12.94 - 00:25:16.33 41
better schedule maintenance operation and
-
00:25:16.33 - 00:25:18.66 34
even to generate performance index
-
00:25:18.66 - 00:25:20.46 24
for the entire wind farm
-
00:25:22.63 - 00:25:27.22 41
And I was telling you that you should not
-
00:25:27.22 - 00:25:27.33 4
take
-
00:25:27.43 - 00:25:32.02 44
my word for granted Here are some more proof
-
00:25:32.02 - 00:25:32.64 6
points
-
00:25:32.74 - 00:25:37.24 41
I will invite you in the next few minutes
-
00:25:37.24 - 00:25:41.25 34
after you finish listening to this
-
00:25:41.25 - 00:25:42.24 15
recording to go
-
00:25:42.33 - 00:25:46.35 42
to the material of the booth where you can
-
00:25:46.35 - 00:25:46.88 8
download
-
00:25:46.97 - 00:25:50.99 45
the PDF of this presentation and you can also
-
00:25:50.99 - 00:25:51.44 4
find
-
00:25:51.44 - 00:25:55.36 39
some nice collateral you will find some
-
00:25:55.36 - 00:25:56.75 16
customer stories
-
00:25:56.84 - 00:26:00.76 42
here are three of them for leaders both in
-
00:26:00.76 - 00:26:00.85 3
the
-
00:26:00.93 - 00:26:04.85 44
wind turbine manufacturing field but also in
-
00:26:04.85 - 00:26:06.16 16
the operator and
-
00:26:06.16 - 00:26:10.57 39
you will see how we are quantifying the
-
00:26:10.57 - 00:26:11.06 10
output and
-
00:26:11.15 - 00:26:15.56 45
the outcome that our customers are getting by
-
00:26:15.56 - 00:26:16.54 9
using our
-
00:26:16.64 - 00:26:18.50 19
simulation solution
-
00:26:18.50 - 00:26:22.02 41
Plus here you have a huge amount of links
-
00:26:22.02 - 00:26:22.10 4
that
-
00:26:22.18 - 00:26:25.70 45
could be of interest for you both going a bit
-
00:26:25.78 - 00:26:29.31 41
deeper into the technical topic with some
-
00:26:29.31 - 00:26:30.25 15
tips and tricks
-
00:26:30.25 - 00:26:33.77 45
webinars even some training sessions and also
-
00:26:33.77 - 00:26:35.57 22
some application brief
-
00:26:35.65 - 00:26:39.17 44
and a bit let's say higher level white paper
-
00:26:39.17 - 00:26:39.33 2
on
-
00:26:39.41 - 00:26:42.62 41
which you can rely on and go a bit deeper
-
00:26:42.62 - 00:26:46.60 46
into your knowledge about how Ansys is helping
-
00:26:46.60 - 00:26:48.37 20
their customer their
-
00:26:48.46 - 00:26:52.45 38
wind turbine customer specifically on
-
00:26:52.45 - 00:26:53.78 16
being successful
-
00:26:53.78 - 00:26:57.35 40
I would like to stop here I just want to
-
00:26:57.44 - 00:27:01.46 44
spend perhaps 2-3-4 minutes telling you that
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00:27:01.46 - 00:27:02.44 13
you will also
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00:27:02.53 - 00:27:06.55 44
access it will be able to access within this
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00:27:06.55 - 00:27:06.99 5
booth
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00:27:06.99 - 00:27:11.08 44
more information about each of the six topic
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00:27:11.08 - 00:27:11.62 6
I just
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00:27:11.71 - 00:27:15.80 44
introduced OK I want right now go through it
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00:27:15.80 - 00:27:16.07 3
but
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00:27:16.16 - 00:27:20.25 43
you will have a video another video and MP4
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00:27:20.25 - 00:27:20.61 5
video
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00:27:20.61 - 00:27:24.43 43
that you can browse and go and post in each
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00:27:24.52 - 00:27:28.52 44
of the relevant topic you feel like so again
-
00:27:28.52 - 00:27:28.87 4
this
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00:27:28.96 - 00:27:32.96 41
one is about typically rotor aerodynamics
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00:27:32.96 - 00:27:33.93 12
but there is
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00:27:33.93 - 00:27:37.00 43
a huge amount of information I would invite
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00:27:37.00 - 00:27:37.34 6
you to
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00:27:37.41 - 00:27:40.48 44
go through it step by step pick the relevant
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00:27:40.48 - 00:27:41.23 11
information
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00:27:41.30 - 00:27:44.09 41
you have and feel free also to go back to
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00:27:44.09 - 00:27:46.21 11
this button
-
00:27:46.21 - 00:27:50.71 35
contact us so that you can get more
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00:27:50.71 - 00:27:51.31 11
information
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00:27:51.41 - 00:27:53.01 16
directly from us
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00:27:53.01 - 00:27:56.70 41
That is it again not going to go into all
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00:27:56.79 - 00:28:00.84 41
these details it's not the intent of this
-
00:28:00.84 - 00:28:01.65 14
introduction I
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00:28:01.74 - 00:28:05.34 40
would just like to finish with let me go
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00:28:05.34 - 00:28:08.29 34
until the end of this presentation
-
00:28:10.92 - 00:28:14.53 42
to this one for further information and if
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00:28:14.53 - 00:28:14.93 7
you are
-
00:28:15.01 - 00:28:18.62 46
even curious about the Ansys products that are
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00:28:18.62 - 00:28:19.99 16
supporting these
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00:28:20.07 - 00:28:23.68 45
different capabilities that I just introduced
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00:28:23.68 - 00:28:25.21 18
I would advise you
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00:28:25.21 - 00:28:29.15 38
to go to this link and to find further
-
00:28:29.15 - 00:28:29.59 11
information
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00:28:29.68 - 00:28:33.27 37
this time not at the booth but in our
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00:28:33.36 - 00:28:33.71 7
webpage
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00:28:33.71 - 00:28:37.52 41
Well that is it for this overview session
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00:28:37.52 - 00:28:38.12 10
thanks for
-
00:28:38.20 - 00:28:42.02 36
listening to me I hope that you will
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00:28:42.10 - 00:28:45.92 41
enjoy your stay at our booth with all the
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00:28:45.92 - 00:28:46.51 10
collateral
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00:28:46.51 - 00:28:50.47 43
material I just mentioned to you and I just
-
00:28:50.47 - 00:28:50.82 5
right
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00:28:50.91 - 00:28:54.43 40
now need to wish you a very good day and
-
00:28:54.52 - 00:28:58.48 44
an excellent participation to the Simulation
-
00:28:58.48 - 00:28:59.89 16
World conference
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00:28:59.89 - 00:29:04.96 29
Well goodbye and see you soon