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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3个问题。性能表现:Spaera已经开发出一种新型WPT系统,并正在完善和申请专利,该系统的性能特征明显优于现有产品-该项目将通过经过验证的虚拟方法来展示该性能,以及该概念的运营、商业和监管适用性。2.透明度:目前WPT的早期采用者看到了预测和交付性能之间的差距。与南安普顿大学合作,该项目将通过复杂的计算流体动力学(CFD)建模改进虚拟WPT评估技术,并与物理测试相关联,以确保准确性。更高的虚拟评估精度也将有助于开发更高性能的WPT设备。3.现实世界的适用性:评估给定风速,风角和海况下的交付性能只是拼图的一部分。在船舶的实际使命剖面上外推这些信息,以确定总的燃料节省、排放减少和操作影响,是理解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航线分析、最高保真度的天气输入和无与伦比的虚拟船舶性能预测,以显示WPT对船舶各个航次和寿命的准确影响,以及通过多目标航线优化可能实现的进一步节省。这些分析将通过项目合作伙伴Scotline ltd.与真实的世界船舶运营的准确性相关联。采用WPT对于航运业到2050年实现净零至关重要。直接替代化石燃料的问题包括能源密度低、基础设施和可用性缺乏、成本高以及潜在的非预期负面后果--例如液化天然气的逃逸性甲烷排放,其温室效应是二氧化碳的87倍,或者氨燃烧产生的N2 O,其温室效应是二氧化碳的268倍(IPCC)。此外,替代燃料的制造进一步增加了能源使用和排放。为了实现净零排放,我们需要大幅减少船舶需要储存的能源量。WPT作为直接能源来源,降低了船上的能源储存负担,产生零排放,并且不需要基础设施,存储或持续的能源供应成本。在适用的海运船队中,使用WPT能够每年直接节省超过3亿吨二氧化碳及其等效温室气体,并将通过补偿未来燃料的商业和运营短缺来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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国内基金
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: