Brittany Bruder | Geology Reports

USGS2022

CoastalImageLib: An open-source Python package for creating common coastal image products

CoastalImageLib is a Python library that produces common coastal image products intended for quantitative analysis of coastal environments. This library contains functions to georectify and merge multiple oblique camera views, produce statistical image products for a given set of images, and create subsampled pixel instruments for use in bathymetric inversion, surface current estimation, run-up calculations, and other quantitative analyses. This package intends to be an open-source broadly generalizable front end to future coastal imaging applications, ultimately expanding user accessibility to optical remote sensing of coastal environments. This package was developed and tested on data collected from the Argus Tower, a 43 m tall observation structure in Duck, North Carolina at the US Army Engineer Research and Development Center’s Field Research Facility that holds six stationary cameras which collect twice-hourly coastal image products. Thus, CoastalImageLib also contains functions designed to interface with the file storage and collection system implemented at the Argus Tower.

SoftwareX↗

USGS2017

Hydrokinetic tidal energy resource assessments using numerical models

Hyrdokinetic tidal energy is the conversion of tidal current kinetic energy to another more useful form, frequently electricity. As with any other form of renewable energy, resource assessments are essential for the tidal energy project planning and design process. While tidal currents have significant spatial and temporal variability, the predictability of tidal flows makes deterministic modeling a suitable methodology for hydrokinetic tidal energy resource assessments. The scope (theoretical, technical, or practical resource) and scale (turbine, region, or project) of the assessment determine the basic concepts and methodology to be utilized and are described in this chapter. At the turbine scale, the technical resource is frequently quantified as the annual energy production (AEP) computed based on the velocity probability distribution for the specific location as well as the turbine properties. The uncertainty associated with the estimates of the AEP is highly dependent on the accuracy of the tidal constituent amplitudes and phases. Regional resource assessments are frequently used to determine the feasibility of tidal power at the scale of an estuary, using numerical models to predict the spatial distribution of the power density. In addition, simplified models or even analytical analysis can be done to produce an upper bound on the regional theoretical power, although with a high level of uncertainty due to the simplifications and assumptions. Resource assessments at the project scale provide both the theoretical and the technical energy as well as the practical energy accounting for many additional constraints, including social, economic, and environmental restrictions. The International Electrotechnical Commission technical specification for tidal energy resource assessments (IEC 2015 ) provides the essential guidelines for performing project-scale resource assessments. These guidelines include minimum grid resolution requirements as well as model calibration and validation procedures. In addition, larger projects will need to include the effect of energy extraction on the flow field to produce more accurate estimates of velocity probability distributions for computing the technical resource. An example case study demonstrating a regional feasibility and project-scale resource assessment is presented in this chapter.

Book chapter↗