Efficiently unlocking full-scale WEC dynamics for industry cost reduction. This project will reduce the cost of ocean wave energy, by uniting leading expertise from academia with cutting-edge know-how and full-scale data from industry to advance the way oceanic forces on wave energy converters are represented in industry models. These models are critical for designing and controlling the next generation of wave energy converters, which have larger motions than ever before. Carefully tested model ....Efficiently unlocking full-scale WEC dynamics for industry cost reduction. This project will reduce the cost of ocean wave energy, by uniting leading expertise from academia with cutting-edge know-how and full-scale data from industry to advance the way oceanic forces on wave energy converters are represented in industry models. These models are critical for designing and controlling the next generation of wave energy converters, which have larger motions than ever before. Carefully tested models will lead to better estimates of power production and loads, which will drive down the cost of wave energy and enable its large-scale utilisation. Broad communication of benefits and sharing of new knowledge will accelerate commercialisation of ocean energy in Australia and pave the way to meeting our future energy needs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101478
Funder
Australian Research Council
Funding Amount
$422,998.00
Summary
Design Waves: a new basis for safer and more efficient offshore systems. This project will overcome a fundamental issue at the heart of ocean engineering design, impacting our oil, gas and renewables industries. Ocean waves are random, yet the best design tools for wave-structure interaction (model testing and computational fluid dynamics) require short, precisely-defined wave sequences. This project will establish a paradigm shift, bridging this gap via a new unified Design Wave methodology dev ....Design Waves: a new basis for safer and more efficient offshore systems. This project will overcome a fundamental issue at the heart of ocean engineering design, impacting our oil, gas and renewables industries. Ocean waves are random, yet the best design tools for wave-structure interaction (model testing and computational fluid dynamics) require short, precisely-defined wave sequences. This project will establish a paradigm shift, bridging this gap via a new unified Design Wave methodology developed for a diverse set of offshore systems, each with different criticalities. The new methodology will fuse advanced techniques in fluid mechanics, statistics and applied maths. The outcomes will create reductions in uncertainty and improvements in design and safety for facilities such as wind farms and gas platforms.Read moreRead less
Performance and design optimisation of oscillating water column ocean wave energy converters. This project will develop an optimised design for ocean wave energy extraction devices, known as oscillating water columns. This will significantly reduce energy conversion losses from oscillating water columns and contribute towards making them internationally competitive with other renewable energy technologies.
Predicting environmental extremes in a period of climate change. This project has the potential to reduce the uncertainty in the predictions of extreme winds and waves used to design and operate coastal and offshore facilities. Predictions are typically achieved by extrapolating recorded data to predict probable extremes. The uncertainties associated with this approach are very large. This project aims to develop a new approach called ‘large ensemble aggregate’ analysis, which brings together da ....Predicting environmental extremes in a period of climate change. This project has the potential to reduce the uncertainty in the predictions of extreme winds and waves used to design and operate coastal and offshore facilities. Predictions are typically achieved by extrapolating recorded data to predict probable extremes. The uncertainties associated with this approach are very large. This project aims to develop a new approach called ‘large ensemble aggregate’ analysis, which brings together data from alternative model predictions or alternative measurement locations to expand the effective data and avoid the necessity for statistical extrapolation. This approach may significantly reduce the uncertainty in estimating extreme values. This would reduce the cost of constructing coastal and offshore facilities and decrease the risk of catastrophic failure.Read moreRead less