Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities

Medina-López, Encarni; McMillan, David; Lazić, Jasmina; Hart, Edward; Zen, Simone; Angeloudis, Athanasios; Bannon, Elva; Browell, Jethro; Dorling, Steve; Dorrell, R. M.; Forster, Rodney M.; Old, Chris; Payne, Grégory S.; Porter, Gregory; Rabaneda, Alberto S.; Sellar, Brian; Tapoglou, Evdokia; Trifonova, Neda; Woodhouse, I.H.; Zampollo, Arianna

doi:10.1016/j.rse.2021.112588

Cited by 14 publications

(8 citation statements)

References 103 publications

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“…Still, analyses of such data can be used in combination with field observations and expertise knowledge as an effective tool to assist the understanding of complex interactive biophysical effects within the environment and minimize uncertainty with future climate change to aid the evidence-based decision-making process (Patil et al, 2002;Moufaddal, 2005). In addition, physical and biological variables from remote sensors could be used as proxies to better understand foraging behavior and habitat preferences of animals across scales and how these vary with weather conditions and climate change (Medina-Lopez et al, 2021). Data from GPS and accelerometers of top predators can be used to investigate fine scale foraging locations and consequently determine prey behavior and distribution across trophic levels and scales that can advance the understanding of marine ecosystem dynamics (Ohman et al, 2013;Suberg et al, 2014).…”

Section: Different Sources Of Data Different Survey Techniquesmentioning

confidence: 99%

Use of Our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators

et al. 2022

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There is about to be an abrupt step-change in the use of our coastal seas, specifically by the addition of large-scale offshore renewable energy developments to combat climate change. Many trade-offs will need to be weighed up for the future sustainable management of marine ecosystems between renewables and other uses (e.g., fisheries, marine protected areas). Therefore, we need a much greater understanding of how different marine habitats and ecosystems are likely to change with both natural and anthropogenic transformations. This work will present a review of predictive Bayesian approaches from ecosystem level, through to fine scale mechanistic understanding of foraging success by individual species, to identify consistent physical (e.g., bottom temperature) and biological (e.g., chlorophyll-a) indicators of habitat and ecosystem change over the last 30 years within the North Sea. These combined approaches illuminate the feasibility of integrating knowledge across scales to be able to address the spatio-temporal variability of biophysical indicators to ultimately strengthen predictions of population changes at ecosystem scales across broadly different habitat types. Such knowledge will provide an effective baseline for more strategic and integrated approaches to both monitoring studies and assessing anthropogenic impacts to be used within marine spatial planning considerations.

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Section: Different Sources Of Data Different Survey Techniquesmentioning

confidence: 99%

Use of Our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators

et al. 2022

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“…Both measures are important for the design, planning, and operation phases of offshore wind projects, including efficiently screening for promising offshore wind resource areas and reducing uncertainty around installation weather windows. Future areas for research include improving the spatial resolution of wave and wind detection, as the current practice is to assume similar conditions across an entire wind farm based on a limited set of estimates (Medina-Lopez et al, 2021). Additionally, inter-hour offshore wind resource forecasting is becoming more critical as coastal power grids rely on greater penetration of offshore turbines, which recent satellite products, such as ESA's Aeolus mission, will help improve (Medina-Lopez et al, 2021).…”

Section: Offshore Wind Projectsmentioning

confidence: 99%

“…Since the first satellite images were made publicly available in 1972, applications of satellite data have expanded significantly (Davis, 2007;Inman et al, 2013). Satellite data vary in spatial resolution (from tens of kilometers to less than a meter), frequency of observations (from weeks to minutes), and coverage (from continuous observations from geostationary satellites to global coverage from polar-orbiting satellites) (Medina-Lopez et al, 2021). There are trade-offs across these design features, with free, publicly available data from government sources tending toward global coverage and a growing number of private companies offering targeted observations of particular locations.…”

Section: Introductionmentioning

confidence: 99%

Satellite Data Applications for Sustainable Energy Transitions

Edwards¹,

Holloway²,

Pierce³

et al. 2022

Front. Sustain.

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Transitioning to a sustainable energy system poses a massive challenge to communities, nations, and the global economy in the next decade and beyond. A growing portfolio of satellite data products is available to support this transition. Satellite data complement other information sources to provide a more complete picture of the global energy system, often with continuous spatial coverage over targeted areas or even the entire Earth. We find that satellite data are already being applied to a wide range of energy issues with varying information needs, from planning and operation of renewable energy projects, to tracking changing patterns in energy access and use, to monitoring environmental impacts and verifying the effectiveness of emissions reduction efforts. While satellite data could play a larger role throughout the policy and planning lifecycle, there are technical, social, and structural barriers to their increased use. We conclude with a discussion of opportunities for satellite data applications to energy and recommendations for research to maximize the value of satellite data for sustainable energy transitions.

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“…By understanding the limits of applicability, advantages and disadvantages of different data sources, the most suitable choice of data source can be made: depending on the objective, different temporal and spatial resolutions, accuracy, and reliability levels are needed. Offshore facilities can be considered the perfect example of how crucial wave data are and how the data characteristics needed vary depending on the stage of project development [16]. The project's first phase involves site selection [17], and several locations must be compared to identify the optimal one.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the ERA5 Wave Forecasting Dataset Against Buoy Record

Cervelli¹,

Parrinello²,

Moscoloni³

et al. 2022

I2M

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Appropriate design of marine structures, such as offshore facilities and harbours, requires a detailed estimation of synthetic wave parameters. Inaccuracies and unreliability of wave data have implications in many aspects of marine engineering, such as structural strength, cost, and design. In this paper, a critical analysis of the most common data acquisition methods is made, focusing on in-situ instrumentation and numerical models. Considering the Pantelleria island as case study, records of a proprietary wave buoy and the ERA5 dataset of ECMWF (European Centre for Medium-Range Weather Forecasts) have been compared. This paper first highlights the methods and challenges of offshore experimental campaigns for wave monitoring and eventually presents a critical and quantitative comparison of the two approaches (experimental versus numerical), highlighting their respective advantages and disadvantages.

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Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities

Cited by 14 publications

References 103 publications

Use of Our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators

Use of Our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators

Satellite Data Applications for Sustainable Energy Transitions

Comparison of the ERA5 Wave Forecasting Dataset Against Buoy Record

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