• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>HydroVision 2008 conference technical papers >Maximizing Performance and Availability of an OWC Wave Power Plant, while Simultaneously Reducing Cost and Mitigating Risk
【24h】

Maximizing Performance and Availability of an OWC Wave Power Plant, while Simultaneously Reducing Cost and Mitigating Risk

机译：最大限度地提高OWC波浪电厂的性能和可用性，同时降低成本并降低风险

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Already very early in their life cycle innovative technologies are benchmarked against establishedrnsolutions. For Ocean Energies costs of electricity production a possible customer incurs over the liferntime of a plant are the most important measure for benchmarking. For such a new technology to bernattractive the financial investment calculation has to show a positive result. Mathematically, thisrnmeans that the present value (PV) of the returns from energy sales at minimum offsets the PV of allrncash out-flows associated with a potential Ocean Energies project. Such a calculation comprises allrnthe initial capital expenditures for the plant, all operation and maintenance costs, the finalrndecommissioning costs and of course the technological risk which is represented in the investors'rndiscount rate.rnThis paper introduces a driver analysis for energy production costs based on Wavegen's OWCrntechnology driving a Wells-Turbine. It is shown how this analysis can be used as a powerful guidelinernto prioritize R&D efforts in order to maximize customer value creation.rnWavegen's development process of the past years is a direct consequence of these insights andrnaims to pull the longest levers first: Hence, at first priority the mechanical design has been improvedrnsuch that maximum use could be made of existing design know how and available manufacturingrnresources of related technologies. In parallel the electrical output has been maximized by optimizingrnsub system efficiencies of the plant with simulation tools like Computational Fluid Dynamics (CFD),rnFinite Element Method (FEM) and Dynamic System Simulation.rnFinally, only manufacturing and intense testing of prototype units combined with the operatingrnexperience obtained, could give a feedback of the success of the measures designed above.rnEspecially availability and reliability of the plant can only be evaluated under real life conditions for arnperiod of time which is long enough to obtain statistically valid quantifications of the taken actions.
机译：在其生命周期的早期，创新技术就已针对既定的解决方案进行了基准测试。对于海洋能源的电力生产成本而言，在电厂的整个生命周期内可能产生的客户费用是基准测试的最重要措施。为了使这种新技术有吸引力，金融投资计算必须显示出积极的结果。从数学上讲，这意味着能源销售收益的现值（PV）至少可以抵消与潜在的海洋能源项目相关的全部现金流出的PV。这样的计算包括工厂的初始资本支出，所有运营和维护成本，最终的退役成本，当然还有以投资者折扣率表示的技术风险。本文介绍了基于Wavegen的能源生产成本的驱动因素分析。 OWCrntechnology驾驶Wells-Turbine。展示了如何将这种分析作为有力的指导方针-优先考虑研发工作，以最大程度地创造客户价值。-过去几年里，Wavegen的发展过程是这些见解的直接结果，并且其宗旨是首先拉长最长的杠杆：因此，首先优先考虑的是，机械设计已得到改进，从而可以最大程度地利用现有设计知识和相关技术的可用制造资源。并行地，通过使用计算流体动力学（CFD），有限元方法（FEM）和动态系统仿真等仿真工具优化工厂的子系统系统效率，可以最大程度地提高电输出。获得的操作经验可以为上述措施的成功提供反馈。特别是，只有在实际条件下评估工厂的可用性和可靠性，时间长度足够长，才能获得所采取措施的统计有效量化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号