FAME: Future of Advanced Metrology for Environmental fluid dynamics
Lead Research Organisation:
University of Hull
Department Name: Energy and Environment Institute
Abstract
Natural flows shape our environment. Virtually every part of the planet can be put in the context, or at the interface, of transdisciplinary processes shaped by fluid dynamics, from: mantle convection, driving tectonic plate movement and geohazards; energy sources driving ocean currents and mixing, controlling marine life; the dispersal of water, nutrients and pollutants through terrestrial systems, critical to life on land; to the risks from extreme weather, in a changing climate. Although, numerical models exist that capture many aspects of these flows, they are fundamentally limited by the complexity, and critically, the range of scales present in the natural environment. Thus, lack of understanding of the natural world often stems from lack of empirical data of environmental flows.
Empirical data are key to motivate new understanding of fluid dynamics and thus the natural environment. Data are often derived from controlled experiments, studying fundamental processes. Yet, to deliver impact, these processes need to be placed in real-world context. Three-dimensional, and temporal, data are key to understand complex flows inherent to nature. Yet whilst common in numerical models, such data are rare in current empirical research. Our capability to quantify the dynamics of environmental flows is in many respects more limited than numerical models.
Only now has recent advances in technology placed the ability to address long-standing limitations of empirical data of environmental flows within our grasp. The Future of Advanced Metrology for Environmental fluid dynamics (FAME) project makes a world-leading contribution to research capability, by: 1) advancing globally unique capacity to collect complete empirical datasets of environmental flows; 2) scaling experimental fluid dynamics to the real-world. Synergistic integration of a suite of novel equipment, based on novel volumetric flow measurement, addresses these goals and supports step-change advances across natural environmental science.
Leading experts at Hull, extensively supported by academia and industry, will integrate the suite of new equipment, including: Advanced optical flow measurement equipment that can disentangle the dynamics of the different fluid, particulate and chemical components that comprise natural flows; Submersible optical measurement equipment that translates capability to resolve flows, previously only available in laboratory conditions, to real-world scales; and Acoustic imaging of naturally cloudy environmental flows, where optical techniques cannot be used. Through integration of this suite of equipment, FAME affords globally unique capability to resolve flows across a range of environments and scales, providing new data needed for research into key societal challenges. By enabling access to both equipment, and critically the unique datasets that will be generated, FAME will motivate the next generation of community research into the natural environment.
Empirical data are key to motivate new understanding of fluid dynamics and thus the natural environment. Data are often derived from controlled experiments, studying fundamental processes. Yet, to deliver impact, these processes need to be placed in real-world context. Three-dimensional, and temporal, data are key to understand complex flows inherent to nature. Yet whilst common in numerical models, such data are rare in current empirical research. Our capability to quantify the dynamics of environmental flows is in many respects more limited than numerical models.
Only now has recent advances in technology placed the ability to address long-standing limitations of empirical data of environmental flows within our grasp. The Future of Advanced Metrology for Environmental fluid dynamics (FAME) project makes a world-leading contribution to research capability, by: 1) advancing globally unique capacity to collect complete empirical datasets of environmental flows; 2) scaling experimental fluid dynamics to the real-world. Synergistic integration of a suite of novel equipment, based on novel volumetric flow measurement, addresses these goals and supports step-change advances across natural environmental science.
Leading experts at Hull, extensively supported by academia and industry, will integrate the suite of new equipment, including: Advanced optical flow measurement equipment that can disentangle the dynamics of the different fluid, particulate and chemical components that comprise natural flows; Submersible optical measurement equipment that translates capability to resolve flows, previously only available in laboratory conditions, to real-world scales; and Acoustic imaging of naturally cloudy environmental flows, where optical techniques cannot be used. Through integration of this suite of equipment, FAME affords globally unique capability to resolve flows across a range of environments and scales, providing new data needed for research into key societal challenges. By enabling access to both equipment, and critically the unique datasets that will be generated, FAME will motivate the next generation of community research into the natural environment.
Organisations
- University of Hull (Lead Research Organisation)
- Offshore Renewable Energy Catapult (Collaboration, Project Partner)
- Phase Change Material Products (United Kingdom) (Project Partner)
- Aura Innovation (Project Partner)
- University College London (Project Partner)
- Universitat Politècnica de Catalunya (Project Partner)
- University of Aberdeen (Project Partner)
- University of Cambridge (Project Partner)
- Cardiff University (Project Partner)
- University of Dundee (Project Partner)
- Environment Agency (Project Partner)
- HR Wallingford (Project Partner)
- National Oceanography Centre (Project Partner)
- TÜV SÜD (United Kingdom) (Project Partner)
- University of Leeds (Project Partner)
Publications
Medina-Lopez E
(2021)
Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities
in Remote Sensing of Environment
Sheng W
(2022)
Hydrodynamic studies of floating structures: Comparison of wave-structure interaction modelling
in Ocean Engineering
Sheng W
(2022)
Time-Domain Implementation and Analyses of Multi-Motion Modes of Floating Structures
in Journal of Marine Science and Engineering
Tapoglou E
(2021)
Machine learning for satellite-based sea-state prediction in an offshore windfarm
in Ocean Engineering
Description | Novel High Performance Wave Energy Converters with advanced control, reliability and survivability systems through machine-learning forecasting |
Amount | £810,901 (GBP) |
Funding ID | EP/V040561/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2021 |
End | 09/2024 |
Description | ORE Catapult - Aura CDT PGR Scholarships |
Organisation | Offshore Renewable Energy Catapult |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | co-supervision (academic) of 6 industry funded PGR scholars on the EPSRC-NERC funded Centre for Doctoral Training in Offshore Wind Energy and the Environment |
Collaborator Contribution | co-supervision (industry) of 6 industry funded PGR scholars on the EPSRC-NERC funded Centre for Doctoral Training in Offshore Wind Energy and the Environment |
Impact | n/a |
Start Year | 2021 |
Title | Three phase tomographic flow metrology |
Description | A tomographic integrated Particle Image Tracking Velocimetry - Laser Induced Fluorescence (PITV-LIF) system, which for the first time will enable simultaneous measurements of multiphase mixtures of fluids, solid particles and solutes/temperature concentration. The PITV-LIF system has direct industrial application from understanding particulate dispersal, e.g. microplastics to viral aerosols, sustainable energy management to monitoring biogeochemical processes. The current public health crisis has focussed researchers' attention on the way that microscopic particles move through air and liquids. We know, for example that particulate pollution correlates to adverse health outcomes. Measuring and understanding why this happens has historically been challenging because the environments in which we interact with - air and waterborne particles - on a daily basis are complex and multi-dimensional. This equipment gives us an opportunity to replicate those kinds of environments and fine-tune them to help us understand lots of different processes, from how viral aerosols behave under difference forces, to what changes the way that microplastics move through the oceans. |
Type Of Technology | Systems, Materials & Instrumental Engineering |
Year Produced | 2022 |
Impact | n/a |