Design and control considerations for a wave energy converter

Nolan, Gary; Ringwood, John V.

doi:10.1049/cp:20040587

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…A number of further design considerations for a heaving buoy type WEC (and PTO design issues) are considered in [37].…”

Section: D) Latching Resultsmentioning

confidence: 99%

“…In the alternative application of electricity production, more freedom may exist, depending on the type of generator employed. This is discussed in further detail in [37], but employment of a variable speed generator with AC-DC-AC conversion, combined with a pelton wheel (which converts fluid flow energy to rotational energy) gives an extra degree of freedom which may be used to improve the damping presented to the WEC. The development of such a control system is the subject of further research.…”

Section: Discussionmentioning

confidence: 99%

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The dynamics of wave energy

Ringwood

2006

IET Irish Signals and Systems Conference (ISSC 2006)

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This paper examines the challenges of efficiently harnessing wave energy. A variety of energy conversion device types is reviewed and a generic heaving buoy device selected for detailed examination. A number of modelling and control challenges are detailed and a hierarchical control structure is indicated. Both potable water production and electricity generation are included as possible uses of such devices and each presents separate control challenges.

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“…A number of further design considerations for a heaving buoy type WEC (and PTO design issues) are considered in [37].…”

Section: D) Latching Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The dynamics of wave energy

Ringwood

2006

IET Irish Signals and Systems Conference (ISSC 2006)

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“…Continuous monitoring of underwater sounds has important applications in diverse fields such as ocean wildlife and the engineering of renewable energy systems based on wave and tidal power. The resulting information can be used to monitor phenomena such as underwater animal presence, the impact of shipping and other traffic and the effects of equipment such as wave energy converters [1,2] on underwater sound levels [16]. The resulting data can be used as input to simulations which are used to make good engineering and policy decisions about the likely impact of renewable energy systems in the ocean.…”

Section: Motivationmentioning

confidence: 99%

Real-Time Sensor Signal Capture from a Harsh Environment

Purcell

Vasudevan

Gregg

2012

2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications

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Abstract-Understanding the baseline underwater acoustic signature of an offshore location is a necessary, early step in formulating an environmental impact assessment of wave energy conversion devices. But in order to even begin this understanding, infrastructure must be deployed to capture raw acoustic signals for an extended period of time. This infrastructure is comprised of at least four distinct components. Firstly, a hydrophone, deployed underwater, which is capable of operating at a high sampling rate: 500,000 16-bit samples per second. Secondly, an analog/digital converter (ADC), to which the hydrophone transmits raw voltages. Thirdly, a communications infrastructure for bridging the gap from the ADC to shore. And finally, an onshore base-station for receiving the signals and presenting them to a remote analytic or simulation infrastructure for further processing.Attempting this signal capture in real-time poses many problems. On a practical level, deploying cabled infrastructure to deliver power and communications to the offshore components may be prohibitively expensive. However, reliance on solar power may result in interruptions to real-time wireless transmission. Additionally, a high sampling rate will require significant base-station memory/storage/processing capabilities as well as potentially high costs of delivery to a remote infrastructure, part of which could be alleviated by realtime signal compression. This paper discusses our attempts at implementing such a system which would reliably acquire real-time data and scale with growing demands.

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