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Supercharging Wind Propulsion: Advancing Digital tools in maritime to deliver real world performance in a next generation Wind Propulsion Design

Supercharging Wind Propulsion: Advancing Digital tools in maritime to deliver real world performance in a next generation Wind Propulsion Design
增压风力推进:推进海事领域的数字工具,在下一代风力推进设计中提供真实的性能
批准号:
10093454
负责人:
金额:
$108.66万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

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中文摘要
翻译
该项目解决了围绕风力推进技术(WPT)扩散的三个问题。性能:Spaera已经开发并正在完善一种新型WPT系统,该系统具有比现有产品更好的性能特征,该项目将通过验证的虚拟方法证明其性能,以及该概念的操作、商业和监管适用性。透明度:当前WPT的早期采用者看到了预期性能和交付性能之间的差距。通过与南安普敦大学的合作,该项目将通过复杂的计算流体动力学(CFD)建模来改进虚拟WPT评估技术,并与物理测试相关联,以确保准确性。更高的虚拟评估准确性也将有助于开发更高性能的WPT设备。实际应用:在给定的风速、风角和海况下评估交付的性能只是难题的一部分。根据船舶的实际任务概况推断这些信息,以确定总的燃油节约、减排和运营影响,这是了解WPT在现实世界中的适用性的重要组成部分。该项目将使用复杂的路线分析,最高保真度的天气输入,以及无与伦比的虚拟船舶性能预测,以显示船舶在单个航行和使用寿命中对WPT的准确影响,以及通过多目标路线优化可能进一步节省的成本。通过项目合作伙伴Scotline ltd.,这些分析将与实际船舶操作的准确性相关联。采用WPT对航运业到2050年实现净零排放至关重要。替代化石燃料的能源密度较低,缺乏基础设施和可用性,成本高,以及可能产生意想不到的负面后果——例如液化天然气的逸散性甲烷排放,其变暖潜势是二氧化碳的87倍,或氨燃烧产生的N2O,其变暖潜势是二氧化碳的268倍(IPCC)。此外,替代燃料的生产进一步增加了能源的使用和排放。为了达到净零排放,我们需要大幅减少船舶所需储存的能量。WPT作为一种直接能源,降低了车载储能负担,零排放,不需要基础设施、储能或持续的能源供应成本。在适用的海运船队中,使用WPT每年可直接节省超过3亿吨二氧化碳及其当量的温室气体,并将通过补偿未来商业和运营燃料的短缺,实现真正的净零排放。
英文摘要
This project tackles 3 issues surrounding the proliferation of Wind Propulsion Technology (WPT).1. Performance: Spaera has developed and is in the process of refining and patenting a novel WPT system with significantly greater performance characteristics than available offerings - this project will demonstrate that performance through validated virtual methods, as well as the concept's operational, commercial, and regulatory suitability.2. Transparency: Current early adopters of WPT are seeing a shortfall between predicted and delivered performance. In collaboration with the University of Southampton, this project will improve virtual WPT assessment techniques through sophisticated Computational Fluid Dynamics (CFD) modelling, correlated to physical testing to ensure accuracy. Greater virtual assessment accuracy will also aid in the development of higher performance WPT devices.3. Real-World Applicability: Assessing the delivered performance for a given wind-speed, wind-angle and sea state is only piece of the puzzle. Extrapolating this information across a vessel's actual mission profile to determine the total fuel savings, emission reductions, and operational impacts is an important component of understanding the real-world applicability of WPT. This project will use sophisticated route analysis, highest fidelity weather input, and unsurpassed virtual vessel performance prediction to show accurate impacts of WPT across a vessel's individual voyages and lifetime, as well as the further savings possible through multi-objective route optimisation. These analyses will be correlated for accuracy to real world vessel operation through project partners Scotline ltd.The adoption of WPT is critical for the shipping industry to reach net-zero by 2050\. Drop-in fossil-fuel replacements suffer from lower energy density, lack of infrastructure and availability, high cost, and the potential for unintended negative consequences - such as fugitive methane emissions from LNG, delivering 87 times greater warming potential than CO2, or N2O from combustion of ammonia, delivering 268 times greater warming potential than CO2 (IPCC). Additionally, the manufacturing of alternative fuels adds further energy use and emissions. To reach net zero, we need to drastically reduce the amount of energy a vessel is required to store.WPT acts as a direct energy source, lowering the onboard energy storage burden, produces zero emissions and requires no infrastructure, storage or ongoing energy supply costs. Across the applicable maritime fleet, the use of WPT has the capability of annually saving over 300 million tonnes of CO2 and its equivalent GHGs directly, and will allow true net zero to be achievable by compensating for the shortfalls of future fuels commercially and operationally.
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海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: